This dissertation studies distribution system reliability and its evaluation methods. It summarizes the basic concepts of distribution system reliability, including reliability indices and their calculation formulas. It analyzes existing distribution system reliability evaluation methods and proposes an optimized minimal path method using Dijkstra's algorithm to simplify reliability calculations for complex grids. The method divides system components into two types - those on the minimum path between loads and power sources, and those off the minimum path. It converts components not on the minimum path into nodes based on their contribution to load point failures. This algorithm is programmed in MATLAB to assess reliability for complex distribution systems like the IEEE RBTS BUS 6 example grid.

1. ࠶ ㊫ ਧ TM732 ᇶ 㓗 ޜᔰ
অսԓਧ 10256 ᆖ ਧ ys1110221066
⺋ ༡ ᆜ փ 䇰 ᮽ
Dissertation for Master’s Degree
䞃⭫㌱㔕ਥ䶖ᙝ਀ެ䇺զ㇍⌋⹊ガ
ᆜփ⭩䈭Ӱφ ᕐㅁᲇ
᤽ ሲ ᮏ ᐾ φ ୀᘐ
ᆜ 〇 щ ѐ φ ⭥≄ᐕ〻
⭥࣋㌫㔏৺ަ㠚ࣘॆ
ᆜ փ ㊱ ࡡ φ ᐕᆖ⺅༛
ᡶ ኔ 䲘 ㌱ φ ⭥≄ᐕ〻ᆖ䲒
2014 ᒤ 03 ᴸ

3. ࠶ ㊫ ਧ TM732 ᇶ 㓗 ޜᔰ
অսԓਧ 10256 ᆖ ਧ ys1110221066
р⎭⭫࣑ᆜ䲘⺋༡ᆜփ䇰ᮽ
䞃⭫㌱㔕ਥ䶖ᙝ਀ެ䇺զ㇍⌋⹊ガ
ᆜ փ ⭩ 䈭 Ӱ φ ᕐㅁᲇ
᤽ ሲ ᮏ ᐾ φ ୀᘐ
ᆜ 〇 щ ѐ φ ⭥≄ᐕ〻
⭥࣋㌫㔏৺ަ㠚ࣘॆ
ᆜ փ ㊱ ࡡ φ ᐕᆖ⺅༛
䇰 ᮽ ᇐ ふ ᰛ ᵕ φ 2014 ᒤ 3 ᴸ

5. р⎭⭫࣑ᆜ䲘փ䇰ᮽ৕ࡑᙝ༦᱄
ᵜӪ䜁䟽༠᰾˖ᡰ੸ӔⲴᆖս䇪᮷ˈᱟᵜӪ൘ሬᐸⲴᤷሬлˈ⤜・䘋㹼⹄ウᐕ֌
ᡰਆᗇⲴᡀ᷌DŽ䲔᮷ѝᐢ㓿⌘᰾ᕅ⭘Ⲵ޵ᇩཆˈᵜ䇪᮷нवਜ਼ԫօަԆњӪᡆ䳶փᐢ
㓿ਁ㺘ᡆ᫠߉䗷Ⲵ֌૱ᡀ᷌DŽሩᵜ᮷Ⲵ⹄ウڊࠪ䟽㾱䍑⥞ⲴњӪ઼䳶փˈ൷ᐢ൘᮷ѝ
ԕ᰾⺞ᯩᔿḷ᰾DŽᵜӪᆼޘ᜿䇶ࡠᵜ༠᰾Ⲵ⌅ᖻ㔃᷌⭡ᵜӪ᢯ᣵDŽ
ᆖս䇪᮷֌㘵ㆮ਽˖
ᰕᵏ˖ ᒤ ᴸ ᰕ

7. р⎭⭫࣑ᆜ䲘ᆜփ䇰ᮽ⡾ᵹֵ⭞ᦾᵹҜ
ᵜᆖս䇪᮷֌㘵ᆼޘҶ䀓ᆖṑᴹޣ؍⮉ǃ֯⭘ᆖս䇪᮷Ⲵ㿴ᇊˈ਼᜿ᆖṑ؍⮉ᒦ
ੁഭᇦᴹޣ䜘䰘ᡆᵪᶴ䘱Ӕ䇪᮷Ⲵ༽ঠԦ઼⭥ᆀ⡸ˈݱ䇨䇪᮷㻛ḕ䰵઼ُ䰵DŽᵜӪᦸ
ᵳк⎧⭥࣋ᆖ䲒ਟԕሶᵜᆖս䇪᮷Ⲵޘ䜘ᡆ䜘࠶޵ᇩ㕆ޕᴹޣᮠᦞᓃ䘋㹼Ự㍒ˈਟԕ
䟷⭘ᖡঠǃ㕙ঠᡆᢛ᧿ㅹ༽ࡦ᡻⇥؍ᆈ઼≷㕆ᵜᆖս䇪᮷DŽ
؍ᇶƑˈ൘ ᒤ䀓ᇶਾ䘲⭘ᵜᦸᵳҖDŽ
ᵜᆖս䇪᮷኎Ҿ
н؍ᇶƑDŽ
˄䈧൘ԕкᯩṶ޵ᢃ³¥”˅
ᆖս䇪᮷֌㘵ㆮ਽˖ ᤷሬᮉᐸㆮ਽˖
ᰕᵏ˖ ᒤ ᴸ ᰕ ᰕᵏ˖ ᒤ ᴸ

9. ᪈㾱
䞃⭫㌱㔕ਥ䶖ᙝ਀ެ䇺զ㇍⌋⹊ガ
᪎㾷
ޜޡ䇮ᯭ㔏䇑ᮠᦞ㺘᰾㓖 80%Ⲵ⭘ᡧᒣ൷ڌ⭥һԦᱟ⭡䝽⭥㌫㔏᭵䳌
ሬ㠤ⲴDŽ⭘ᡧ䍏㦧⛩Ⲵਟ䶐ᙗѫ㾱׍䎆Ҿᖃൠ䝽⭥㌫㔏Ⲵᤃᢁ㔃ᶴǃ㿴ࡂ
৺䘀㹼DŽഐ↔ˈ䝽⭥㌫㔏ਟ䶐ᙗ䇴ՠᱟॱ࠶䟽㾱ⲴDŽ
ᵜ᮷൘ሩഭ޵ཆ䝽⭥㌫㔏ਟ䶐ᙗⲴਁኅ䘋㹼⹄ウⲴส⹰кˈሩ䝽⭥㌫
㔏Ⲵสᵜᾲᘥǃ㔃ᶴᖒᔿԕ৺䝽⭥㌫㔏ਟ䶐ᙗⲴ⴨ޣᾲᘥ䘋㹼Ҷᖂ㓣࠶
᷀ˈѫ㾱वᤜ˖䝽⭥㌫㔏ਟ䶐ᙗᤷḷ৺䇑㇇ޜᔿˈ㌫㔏ѝݳԦⲴਟ䶐ᙗ৲
ᮠ৺⁑රˈԕ৺䝽⭥㌫㔏⚥᭿ᓖ⁑ර઼࠶᷀ᯩ⌅DŽ
൘к䘠ส⹰кˈᵜ᮷䪸ሩ⧠ᴹⲴ਴⿽䝽⭥㌫㔏ਟ䶐 ᙗ䇴ՠ㇇⌅䘋㹼Ҷ
࠶᷀о⹄ウˈ❦ਾ䪸ሩᴰሿ䐟ᯩ⌅ᨀࠪҶՈॆ㇇⌅ˈሶ䘚、ᯟᖫ㇇⌅оᴰ
ሿ䐟ᯩ⌅⴨㔃ਸˈ⭘Ҿ༽ᵲ⭥㖁ѝᴰሿ䐟ᖴⲴ≲ਆDŽ俆ݸሩമⲴ㇇⌅Ⲵส
ᵜᾲᘥ䘋㹼Ҷ᧿䘠ˈ❦ਾሩ䘚、ᯟᖫ㇇⌅≲ਆᴰሿ䐟ᖴᰦⲴᯩ⌅䘋㹼࠶
᷀DŽ᭩䘋ਾⲴᴰሿ䐟㇇⌅࡙⭘䘚、ᯟᖫ㇇⌅≲ਆ䍏㦧⛩ࡠ⭥Ⓚ⛩Ⲵᴰሿ䐟
ᖴˈሶݳԦ࠶Ѫᴰሿ䐟кݳԦ઼䶎ᴰሿ䐟кݳԦˈᒦሶ䶎ᴰሿ䐟кݳԦਟ
䶐ᙗ৲ᮠሩ䍏㦧⛩ڌ䘀Ⲵᖡ૽ᣈ㇇ࡠ⴨ᓄ㢲⛩кˈӾ㘼ㆰॆ༽ᵲ㌫㔏Ⲵਟ
䶐ᙗ䇑㇇䗷〻DŽ
ᵜ᮷สҾ MATLAB ሩࡽ䘠㇇⌅䘋㹼Ҷ㕆〻ˈԕᇎ⧠ሩ༽ᵲ䝽⭥㌫㔏
Ⲵਟ䶐ᙗ䇴ՠ˗᧕⵰ԕ IEEE ㌫㔏 RBTS Bus6 ᡰ䘎᧕䝽⭥㌫㔏Ѫֻˈሩࡽ
䘠㇇⌅䘋㹼Ҷ╄⽪઼傼䇱ˈᒦ䙊䗷ާփᮠᦞ傼䇱Ҷ䈕㇇⌅Ⲵਟ⭘ᙗǃᴹ᭸
ᙗ˗਼ᰦᵜ᮷䘈ሩ㌫㔏ਟ䶐ᙗᤷḷ⚥᭿ᓖ䘋㹼Ҷ䇑㇇ˈަ㔃᷌ਟԕ⭘Ҿ࠶
᷀䝽⭥㌫㔏ਟ䶐ᙗⲴ㮴ᕡ⧟㢲DŽ
ᵜ᮷Ѫ䝽⭥㌫㔏ਟ䶐ᙗ䇴ՠᨀ׋Ҷањሶ䘚、ᯟᖫ㇇⌅оᴰሿ䐟ᯩ
⌅⴨㔃ਸⲴՈॆ㇇⌅ˈᒦሩ䝽⭥㌫㔏ਟ䶐ᙗⲴ䇴ՠ䘋㹼Ҷส⹰ᙗⲴ⹄ウˈ
Ѫਾ㔝⹄ウڊҶ䬪ෛDŽ
ޣ䭞䇽˖ 䝽⭥㌫㔏ˈਟ䶐ᙗˈਟ䶐ᙗ⚥᭿ᓖˈᴰሿ䐟㇇⌅ˈ䘚、ᯟᖫ㇇
⌅
I

10. к⎧⭥࣋ᆖ䲒⺅༛ᆖս䇪᮷
DISTRIBUTION SYSTEM RELIABILITY AND ITS
EVALUATION METHODS STUDY
ABSTRACT
Public Facilities Statistics show that about 80% of the customer average
interruption events were caused by the distribution system failures. Customer
load point reliability depends on the topology, planning and operation of the
local distribution system. Therefore, distribution network reliability assessment
is of great significance.
Based on the study of distribution system reliability development of both
domestic and abroad, the basic concept and structure of distribution system,
and distribution system reliability concepts are summarized and analyzed,
which include distribution system reliability indices and its calculation formula,
the reliability parameters of the system components and its model, distribution
systems modeling and sensitivity analysis methods.
Based on the above, various existing distribution system reliability
evaluation methods are analyzed and studied, and then an optimized minimal
path method is proposed, using Dijkstra’s algorithm to find the minimum path.
Based on the above, various existing distribution system reliability evaluation
methods are analyzed and studied, and then an optimized minimal path method
is proposed, using Dijkstra’s algorithm to find the minimum path in complex
grid. First, the basic concept of algorithm of diagram is described, and then
using Dijkstra’s algorithm to find the minimum path is discussed. Minimal path
algorithm uses the Dijkstra’s algorithm in finding the minimum paths between
load points and power point. Thus, the system components can be divided into
two kinds, components on the minimum path and components off the minimum
path. Components which are not on the minimum path can be converted to the
corresponding nodes according to its contribution to the load points’ failure.
Thus the reliability calculation process of complex gird can be simplified.
This algorithm is programmed based on MATLAB in order to achieve the
II

11. ᪈㾱
reliability assessment of complex distribution system. Then the distribution
system connected to IEEE RBTS BUS 6 is selected as an example to
demonstrate and validate the availability and effectiveness of this algorithm. In
addition, the calculation of reliability indices sensitivity is also performed in
this paper, the result of which can be used to analyze the weaknesses of
distribution system reliability.
KEY WORDS: Distribution System, Reliability, Reliability Sensitivity,
Minimal Path Algorithm, Dijkstra’s Algorithm
III

12. к⎧⭥࣋ᆖ䲒⺅༛ᆖս䇪᮷
ⴞᖅ
ㅜ 1 ㄐ 㔚䇪 ................................................................................................................1
1.1 ഭ޵ཆ䝽⭥㌫㔏ਟ䶐ᙗ⹄ウ㛼Ჟ...............................................................1
1.1.1 ഭཆ䝽⭥㌫㔏ਟ䶐ᙗਁኅ..................................................................1
1.1.2 ഭ޵䝽⭥㌫㔏ਟ䶐ᙗਁኅ...................................................................3
1.2 䝽⭥㌫㔏ਟ䶐ᙗⲴ⹄ウ᜿ѹ.........................................................................4
1.3 ᵜ᮷ᡰڊᐕ֌..............................................................................................5
1.3.1 ѫ㾱޵ᇩ.............................................................................................5
1.3.2 ᵜ᮷ᯠ仆ѻ༴ .....................................................................................5
ㅜ 2 ㄐ 䝽⭥㌫㔏৺ަਟ䶐ᙗ࠶᷀ .............................................................................6
2.1 ᕅ䀰 ...............................................................................................................6
2.2 䝽⭥㌫㔏 ........................................................................................................6
2.2.1 䝽⭥㌫㔏ᇊѹ ......................................................................................6
2.2.2 䝽⭥㖁㔃ᶴᖒᔿ .................................................................................7
2.3 䝽⭥㌫㔏ਟ䶐ᙗᾲ䘠 .....................................................................................8
2.3.1 䝽⭥㌫㔏ਟ䶐ᙗ䇴ՠ޵ᇩ...................................................................9
2.3.2 䝽⭥㌫㔏ਟ䶐ᙗ䇴ՠⲴᓄ⭘..............................................................9
2.4 䝽⭥㌫㔏Ⲵਟ䶐ᙗ䇴ՠᤷḷ.......................................................................11
2.4.1 䍏㦧⛩ਟ䶐ᙗᤷḷ ...........................................................................11
2.4.2 ㌫㔏ਟ䶐ᙗᤷḷ ...............................................................................12
2.5 䝽⭥㌫㔏ݳԦਟ䶐ᙗ৲ᮠ৺⁑ර...............................................................14
2.5.1 䝽⭥㌫㔏ݳԦਟ䶐ᙗ৲ᮠ................................................................15
2.5.2 䝽⭥㌫㔏ݳԦਟ䶐ᙗ⁑ර................................................................16
2.6 䝽⭥㌫㔏ਟ䶐ᙗᤷḷ⚥᭿ᓖ࠶᷀...............................................................17
2.6.1 䝽⭥㌫㔏ਟ䶐ᙗᖡ૽ഐ㍐Ⲵ࠶㊫৺࠶᷀ᯩ⌅ .................................18
2.6.2 䝽⭥㌫㔏ਟ䶐ᙗ⚥᭿ᓖᤷḷ............................................................18
2.6.3 䝽⭥㌫㔏ਟ䶐ᙗ⚥᭿ᓖ࠶᷀............................................................20
2.7 ᵜㄐሿ㔃 .....................................................................................................21
ㅜ 3 ㄐ 䝽⭥㌫㔏ਟ䶐ᙗ䇴ՠ㇇⌅ ...........................................................................23
3.1 ᕅ䀰 ..............................................................................................................23
IV

13. ⴞ ᖅ
3.2 䀓᷀㇇⌅ .....................................................................................................23
3.2.1 ᭵䳌⁑ᔿ৺ਾ᷌࠶᷀⌅˄Failure Mode and Effect Analysis Method,
FMEA˅ .............................................................................................................24
3.2.2 ᭵䳌ᢙᮓ⌅˄Fault Spreading Method˅..........................................24
3.2.3 㖁㔌ㅹ٬⌅˄Network-Equivalent Method˅...................................25
3.2.4 䍍ਦᯟ㖁㔌˄Bayesian Networks, BN˅㇇⌅ ..................................26
3.2.5 ᴰሿ䐟㇇⌅˄Minimal Path Method˅ .............................................26
3.3 㫉⢩঑⍋˄Monte Carlo˅⁑ᤏ⌅................................................................26
3.4 ӪᐕᲪ㜭˄Artificial Intelligence, AI˅㇇⌅ ...............................................27
3.4.1 Ӫᐕ⾎㓿㖁㔌˄Artificial Neural Network, ANN˅㇇⌅..................27
3.4.2 ⁑㋺㇇⌅˄Fuzzy Method˅.............................................................27
3.5 ᵜㄐሿ㔃 .....................................................................................................28
ㅜ 4 ㄐ สҾ䘚、ᯟᖫ㇇⌅Ⲵᴰሿ䐟㇇⌅................................................................29
4.1 മⲴ㇇⌅ .....................................................................................................29
4.1.1 മⲴสᵜᾲᘥ ...................................................................................29
4.1.2 മⲴ䙽শᯩ⌅ ...................................................................................30
4.2 䘚、ᯟᖫ㇇⌅(Dijkstra’s's Algorithm) ..........................................................31
4.2.1 䘚、ᯟᖫ㇇⌅สᵜᾲᘥ.....................................................................31
4.2.2 䘚、ᯟᖫ㇇⌅ᇎ⧠ᙍ䐟....................................................................31
4.2 ᴰሿ䐟㇇⌅..................................................................................................32
4.2.1 ᴰሿ䐟㇇⌅สᵜ৏⨶........................................................................32
4.2.2 ᭩䘋ᴰሿ䐟㇇⌅ ...............................................................................34
4.3 ᵜㄐሿ㔃 .....................................................................................................35
ㅜ 5 ㄐ ㇇ֻ৺㔃᷌࠶᷀...........................................................................................36
5.1 ㇇ֻ䘹ਆ .....................................................................................................36
5.2 ᮠᦞ߶༷ .....................................................................................................37
5.3 ਟ䶐ᙗ䇑㇇⍱〻..........................................................................................38
5.5 䇑㇇㔃᷌ .....................................................................................................40
5.6 ᵜㄐሿ㔃 .....................................................................................................42
ㅜ 6 ㄐ 㔃䇪 ..............................................................................................................43
৲㘳᮷⥞....................................................................................................................44
㠤䉒............................................................................................................................47
᭫䈫ᆖսᵏ䰤ਆᗇⲴ⹄ウᡀ᷌ .................................................................................48
V

15. ㅜ 1 ㄐ 㔚䇪
ㅜ 1 ㄐ 㔚䇪
1.1 ഭ޵ཆ䝽⭥㌫㔏ਟ䶐ᙗ⹄ウ㛼Ჟ
൘䗷৫Ⲵࠐॱᒤѝˈሩ⭥࣋㌫㔏ਟ䶐ᙗ䇴ՠⲴ⹄ウѫ㾱䳶ѝҾਁ⭥઼䗃⭥亶ฏˈ
ሩ䝽⭥㌫㔏ਟ䶐ᙗⲴޣ⌘ࡉ䲿䘀㹼⭥঻ㅹ㓗䙀↕䱽վˈቔަᱟվ঻䝽⭥㖁DŽ䙐ᡀ䘉⿽
нᒣ㺑Ⲵѫ㾱৏ഐᱟਁ⭥઼䗃⭥㌫㔏䍴ᵜ⴨ሩ䖳Ѫ䳶ѝˈഐ㘼ਁ䗃⭥Ⲵн䏣ሩ⽮Պ઼
⧟ຳ䜭Պᑖᶕ⚮䳮ᙗⲴਾ᷌DŽ❦㘼൘⭘ᡧቲ䶒ˈ䝽⭥㌫㔏ਟ䶐ᙗⲴ䟽㾱ᙗҏᱟнᇩሿ
䀁ⲴDŽޜޡ䇮ᯭ㔏䇑ᮠᦞ㺘᰾㓖 80%Ⲵ⭘ᡧᒣ൷ڌ⭥һԦᱟ⭡䝽⭥㌫㔏᭵䳌ሬ㠤Ⲵ[1]DŽ
⭘ᡧ䍏㦧⛩Ⲵਟ䶐ᙗѫ㾱׍䎆Ҿᖃൠ䝽⭥㌫㔏Ⲵᤃᢁ㔃ᶴǃ㿴ࡂ৺䘀㹼DŽ
ⴞࡽˈ䝽⭥㌫㔏ਟ䶐ᙗ䇴ՠⲴ⹄ウᯩ⌅ᐢ㓿ਁኅᗇ⴨ᖃᡀ⟏DŽՐ㔏Ⲵ䝽⭥㌫㔏ਟ
䶐ᙗ䇴ՠᯩ⌅а㡜ᱟสҾ᭵䳌⁑ර৺ਾ᷌࠶᷀ᯩ⌅˄Failure Mode and Effects Analysisˈ
FMEA˅DŽ
1.1.1 ഭཆ䝽⭥㌫㔏ਟ䶐ᙗਁኅ
൘ 20 ц㓚 40 ᒤԓˈㆰঅⲴᾲ⦷ᙗ㇇⌅俆ݸᓄ⭘Ҿਁ⭥༷⭘ᇩ䟿Ⲵ䇑㇇ѝDŽ❦㘼
аⴤࡠ 1965 ᒤ㓭㓖ᐲབྷڌ⭥һԦਾˈ⭥࣋㌫㔏ਟ䶐ᙗ䇴ՠ᡽ᔰ࿻੨ᕅӪԜⲴ⌘᜿DŽ䘁
ࠐᒤ䲿⵰㜭Ⓚডᵪ઼⧟ຳ䰞仈Ⲵᰕ⳺ケࠪˈޘ⨳㓿⍾Ⲵਟᤱ㔝ਁኅ䶒Ѥ⵰нਟ䚯ݽⲴ
᥁ᡈˈ֌ѪՐ㔏Ⲵ儈ᓖපᯝ㊫Ⲵ㹼ъˈ⭥࣋ᐕъ㠚❦俆ᖃަߢൠ䶒Ѥ⵰㇑⨶փࡦкⲴ
᭩䶙DŽ㠚кц㓚 90 ᒤԓ䎧ˈ㔍བྷཊᮠഭᇦᐢ㓿亱ᐳҶ䀓䲔පᯝ㇑⨶Ⲵ⌅Ԕˈᔪ・ㄎҹ
රⲴ⭥࣋ᐲ൪փࡦDŽ൘䘉ṧⲴㄎҹփࡦ⧟ຳлˈྲօ֯䝽⭥㌫㔏ᴤ㓿⍾ਟ䶐ൠੁ⭘ᡧ
ᨀ׋⭥㜭ᡀѪ⹄ウⲴ䟽⛩ˈ਼ᰦ׋⭥䍘䟿઼䝽㖁ਟ䶐ᙗᯩ䶒Ⲵ䰞仈ҏᕅ䎧Ҷ⴨ޣഭ䱵
ᵪᶴⲴ䟽㿶ˈྲц⭼䬦㹼˄World Bank, WB˅ᴮҾ 20 ц㓚 70 ᒤԓᵛоᐤ㾯ᑅ᣹ই׋
⭥ޜਨ˄Purina Power Company˅ਸ֌ˈሩ঑ᯟ঑㔤ቄ෾ᐲ⭥㖁䘋㹼Ҷਟ䶐ᙗ㓿⍾ᴰՈ
ॆ⁑ර઼㇇⌅Ⲵ䈳⹄ˈᰘ൘⹄ウਁኅѝഭᇦⲴ䝽㖁ਟ䶐ᙗ㿴ࡂ䘲⭘߶ࡉ˗ц⭼㓿⍾䇪
උ˄World Economic Forum, WEF˅ҏሩ਴ഭⲴ׋⭥䍘䟿䘋㹼Ҷ䈳ḕ[3]DŽ
ⴞࡽ਴ഭᒯ⌋ᓄ⭘ⲴᱟสҾᾲ⦷⨶䇪Ⲵ⭥㖁ਟ䶐ᙗ䇴ՠᯩ⌅ˈ䝽⭥㌫㔏ਟ䶐ᙗ䇴
ՠᴰᑨ⭘Ⲵสᵜᤷḷवᤜ⭘ᡧᒣ൷ᯝ⭥ᰦ䰤˄Customer Average Interruption Duration
Index, CAIDI˅઼⭘ᡧᒣ൷ᯝ⭥仁⦷˄Customer Average Interruption Frequency Index,
CAIFI˅ㅹDŽ䲔↔ѻཆˈṩᦞ਴њഭᇦн਼ⲴҐᜟ઼㾱≲䘈ᇊѹҶަԆаӋਟ䶐ᙗ䇴ՠ
1

16. к⎧⭥࣋ᆖ䲒⺅༛ᆖս䇪᮷
ᤷḷˈྲ㤡ഭ䲔Ҷ֯⭘⭘ᡧᒣ൷ᯝ⭥࠶䫏ᮠ˄Customer Minute Lost, CML˅઼⇿Ⲯᡧᒣ
൷ᯝ⭥⅑ᮠ˄Customer Interruption, CI˅ᶕ৽ᓄڌ⭥ᤱ㔝ᰦ䰤઼ڌ⭥仁⦷ԕཆˈ䘈ᇊѹ
Ҷ䇴ՠ᭵䳌ᰦ׋⭥䖜〫㜭࣋Ⲵᤷḷǃ㺑䟿㚄㔌〻ᓖᕪᕡⲴᤷḷㅹ˗࣐᤯བྷ䲔Ҷ֯⭘
SAIFIǃSAIDIǃCAIFIǃCAIDI ৺ ASAI ӄњ㓿ި䇴ՠᤷḷཆˈ䘈ᇊѹҶоᦏཡ䍏㦧৺
⭥䟿ᴹޣⲴᤷḷˈ৺ԕ䝽⭥ਈ঻ಘᇩ䟿Ѫส⹰ⲴᤷḷDŽ
䲿⵰⭥ᆀᢰᵟⲴ儈䙏ਁኅˈ䝽⭥㌫㔏㔬ਸ㠚ࣘॆᢰᵟᰕ⳺ਁኅᡀ⟏ˈӾ㘼Ѫ䝽⭥
㌫㔏ᴤ儈᭸ǃਟ䶐Ⲵ䘀㹼ᨀ׋Ҷ؍䳌DŽᯠ࣐එᱟⴞࡽц⭼к׋⭥ਟ䶐ᙗᴰ儈Ⲵ෾ᐲˈ
2009 ᒤᯠ࣐එ⭘ᡧᒤᒣ൷ڌ⭥ᰦ䰤Ѫ 0.69minˈᒤᒣ൷ڌ⭥⅑ᮠѪ 0.01ˈ㍟䇑䴦ڌ⭥ཙ
ᮠ 112 ཙ˗മ 1.1 ᡰ⽪Ѫ 2004-2009 ᒤ㖾ഭ⭘ᡧ䝽⭥ਟ䶐ᙗᤷḷⲴਈॆ䎻࣯˄н㘳㲁䟽
བྷһԦᖡ૽˅DŽབྷփкⴻˈ㖾ഭ䝽⭥ਟ䶐ᙗᤷḷ∄䖳ᒣっˈ㌫㔏ᒣ൷ᯝ⭥ᰦ䰤˄System
Average Interruption Duration Index, SAIDI˅ᴰྭ≤ᒣѪ 20minˈᙫփਟ䶐ᙗᤷḷ≤ᒣ䖳
儈DŽ
153
2
113
133
152
134
120
156
146
112 113 113 111
1.18
1.27
1.33 1.34 1.31
1.19
180
170
160
150
140
130
120
110
100
90
80
1.4
1.3
1.2
1.1
1.0
0.9
0.8
0.7
0.6
0.5
2004 2005 2006 2007 2008 2009 ᒤԭ
࠶䫏
0.4
⅑/ᒤ
CAIDI IEEE SAIDI IEEE SAIFI IEEE
മ 1.1 2004-2009 ᒤ㖾ഭѫ㾱ਟ䶐ᙗᤷḷਈॆᛵߥ[4]
൘㖾ഭˈ䝽⭥㌫㔏ਟ䶐ᙗ⭡਴њᐎⲴޜޡһъॿՊ˄State Public Utility Commission,
PUC˅䍏䍓ˈަѫ㾱㙼㜭ᱟ㔏䇑㇑⨶४ฏ޵Ⲵਟ䶐ᙗᮠᦞˈ਼ᰦࡦᇊՈॆਟ䶐ᙗ≤ᒣ
Ⲵ⴨ᓄ᧚ᯭDŽⴞࡽ㖾ഭ਴ᐎ PUC Პ䙽䟷⭘㖾ഭ⭥≄о⭥ᆀᐕ〻ᐸॿՊ˄Institute of
Electrical and Electronics Engineers, IEEE˅Ҿ 2003 ᒤਁᐳⲴ IEEE 1366 ḷ߶[5]˄ޘ〠Ѫ
IEEE Std 1366TM-2003˖IEEE Guide for Electric Power Distribution Reliability Indicesˈⴞ
ࡽᐢᴤᯠࡠ IEEE Std 1366TM-2012 ⡸ᵜ˅ሩަᡰ䗆४ฏ䝽⭥㌫㔏ਟ䶐ᙗ䘋㹼䇴ՠˈ⭡
IEEE 㓴㓷Ⲵḷᵶ㇑⨶˄Benchmarking˅ˈо਼㹼ъݸ䘋Աъ䘋㹼∄䖳ˈࡦᇊᴤ࣐ՈॆⲴ

17. ㅜ 1 ㄐ 㔚䇪
3
ਟ䶐ᙗ㇑⨶᧚ᯭDŽ
൘䝽⭥ਟ䶐ᙗ㇑⨶ᵪࡦᯩ䶒ˈਁ䗮ഭᇦҏᴹ䇨ཊ٬ᗇُ䢤Ⲵᯩ䶒DŽ∄ྲ൘㤡ഭˈ
⭥࣋ⴁ㇑ᐕ֌⭡ཙ❦≄઼⭥࣋ᐲ൪ⴁ㇑ᐕ֌ᇔ˄Office of Gas and Electricity Markets,
OFGEM˅ᢗ㹼ˈަѫ㾱㙼㜭ᱟ䙊䗷ࡦᇊਸ⨶Ⲵ⭥ԧ઼׳䘋ޜᒣㄎҹᶕ؍䳌⭘ᡧㄟⲴ⭥
࣋ᴽ࣑䍘䟿˗⌅ഭ⭥࣋䳶ഒ˄Electricite De France, EDF˅Ⲵ䝽⭥㖁⭡䝽⭥ተ઼䝽⭥ѝ
ᗳ䘋㹼㇑⨶ˈ䙊䗷ሩڌ⭥᭵䳌᤹➗ڌ⭥⅑ᮠ䘋㹼䱦ởᔿ⭘ᡧԈ䍩㺕گˈᶕ࣐ᕪሩ䝽⭥
ਟ䶐ᙗⲴⴁ㇑[6]DŽ
1.1.2 ഭ޵䝽⭥㌫㔏ਟ䶐ᙗਁኅ
књц㓚 70 ᒤԓˈሩҾ⭥࣋㌫㔏ਟ䶐ᙗⲴ⹄ウᔰ࿻⎹৺ࡠ䝽⭥亶ฏDŽ1985 ᒤഭᇦ
≤࡙⭥࣋䜘ࡦᇊҶljSD137-85 䝽⭥㌫㔏׋⭥ਟ䶐ᙗ㔏䇑࣎⌅NJˈሩ䝽⭥㌫㔏ਟ䶐ᙗ䇴
ՠᤷḷ৺㔏䇑ᯩ⌅䘋㹼Ҷ䈖㓶Ⲵᇊѹ઼㿴㤳DŽ䲿⵰ሩ䝽⭥㌫㔏ਟ䶐ᙗ䟽㾱ᙗⲴҶ䀓ˈ
䘁ࠐॱᒤᶕ䇨ཊᆖ㘵઼、⹄অս␡ޕሩ䝽⭥㌫㔏ਟ䶐ᙗⲴ⨶䇪࠶઼᷀ᓄ⭘⹄ウˈࡦᇊ
ᒦᔪ・Ҷᴹ᭸Ⲵ㔏䇑ᯩ⌅ǃ〻ᒿ઼ਟ䶐ᙗᮠᦞ㇑⨶㌫㔏DŽ
ⴞࡽᡁഭ䇴ՠ䝽⭥ਟ䶐ᙗⲴᤷḷоഭ䱵кᑨ⭘Ⲵᤷḷབྷփ⴨਼ˈवᤜ⭘ᡧᒣ൷ڌ
⭥ᰦ䰤˄Average Interruption Hours of Customer, AIHC-1˅ǃ׋⭥ਟ䶐⦷˄Reliability on
Service in Total, RS-1˅ǃ⭘ᡧᒣ൷ڌ⭥⅑ᮠ˄Average Interruption Times of Customer,
AITC-1˅ǃ⭘ᡧᒣ൷᭵䳌ڌ⭥⅑ᮠ˄Average Failure Interruption Times of Customer,
AFTC˅ǃ⭘ᡧᒣ൷亴ᆹᧂڌ⭥⅑ᮠ˄Average Scheduled Interruption Times of Customer,
ASTC˅ǃ㌫㔏ڌ⭥ㅹ᭸ሿᰦᮠ˄Equivalent Interruption Hours of System, SIEH˅ㅹDŽ
׋⭥ਟ䶐⦷
˄%˅
99.95
99.90
99.85
99.80
99.75
99.70
RS-3
RS-1
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 ᒤԭ
മ 1.2 2000-2009 ᒤޘഭ׋⭥ਟ䶐⦷ਈॆᛵߥ[7]
മ 1.2 ᡰ⽪Ѫഭᇦ㜭Ⓚተ⭥࣋ਟ䶐ᙗ㇑⨶ѝᗳޜᐳⲴӾ 2000 ᒤࡠ 2009 ᒤ 10kV ⭘

18. к⎧⭥࣋ᆖ䲒⺅༛ᆖս䇪᮷
ᡧ׋⭥ਟ䶐⦷ਈॆᛵߥDŽ׋⭥ਟ䶐⦷ᱟ⭘ᡧਟ⭘⭥ᰦ䰤о㔏䇑ᰦ䰤Ⲵ∄٬ˈRS-1 ᱟ㘳
㲁ᡰᴹڌ⭥㊫රᗇࠪⲴᮠ٬ˈਟԕ৽ᓄᮤњ⭥࣋㌫㔏ሩ⭘ᡧⲴⵏᇎ׋⭥㜭࣋ˈ㘼 RS-3
ᱟ㘳㲁䲔⭡䲀⭥ሬ㠤ⲴަԆᡰᴹڌ⭥ᛵߥˈਟԕ৽ᓄ⭥㖁⣦ߥ৺䝽⭥㇑⨶≤ᒣDŽമ 1.3
Ѫ 2009 ᒤ਴㊫රڌ⭥ᡰঐ∄ֻⲴ侬⣦മˈ⭡മਟ㿱ˈ亴ᆹᧂڌ⭥˄䶎䲀⭥㊫˅ᡰঐ∄
䟽ᴰབྷˈ㓖Ѫ 65.62%ˈᕅ䎧亴ᆹᧂڌ⭥˄䶎䲀⭥㊫˅ѫ㾱৏ഐवᤜᐕ〻ڌ⭥ǃỰ؞ڌ
⭥ǃ⭘ᡧ⭣䈧৺䈳⭥৺վ঻֌ъ˗㘼⭥࣋䇮༷㘱ॆࡉᱟᕅ䎧᭵䳌ڌ⭥Ⲵѫ㾱ഐ㍐[7]DŽ
4
亴ᆹᧂڌ⭥˄䶎
䲀⭥㊫˅
65.62%
᭵䳌ڌ⭥
34.00%
亴ᆹᧂڌ⭥˄䲀
⭥㊫˅
0.38%
മ 1.3 2009 ᒤޘഭ਴㊫ڌ⭥ᛵߥ
⭡ԕкᮠᦞਟ㿱ˈᡁഭ䝽⭥㌫㔏׋⭥ਟ䶐ᙗ⿫ц⭼ਁ䗮ഭᇦⲴਟ䶐ᙗ≤ᒣ䘈ᴹа
ᇊ䐍⿫DŽ䙐ᡀ䈕ᐞ䐍Ⲵѫ㾱৏ഐᱟⴞࡽᡁഭ䝽⭥㖁Პ䙽ᆈ൘㖁ᷦ㔃ᶴ㮴ᕡǃ⭥࣋䇮༷
㘱ॆǃ䝽㖁ᦏ㙇儈ǃ㇑⨶≤ᒣнཏݸ䘋ㅹ䰞仈DŽ
1.2 䝽⭥㌫㔏ਟ䶐ᙗⲴ⹄ウ᜿ѹ
⭥࣋㌫㔏Ⲵสᵜ࣏㜭ᱟੁ⭘ᡧᨀ׋㓿⍾ǃਟ䶐Ⲵ⭥㜭DŽ䝽⭥㌫㔏֌Ѫབྷ⭥㖁ⴤ᧕
䶒ੁ⭘ᡧⲴ䜘࠶ˈᱟᮤњ⭥࣋㌫㔏㔃ᶴ઼䘀㹼⢩ᙗⲴ䳶ѝ৽᱐ˈҏᱟ⭥࣋㌫㔏ੁ⭘ᡧ
׋⭥㜭࣋Ⲵⴤ᧕փ⧠DŽ䝽⭥㌫㔏ਟ䶐ᙗ࠶᷀ѫ㾱ᱟᔪ・䇴ՠ䍏㦧઼㌫㔏ਟ䶐ᙗⲴᤷḷ
փ㌫ˈ᭦䳶ਟ䶐ᙗশਢᮠᦞˈՈॆਟ䶐ᙗᤷḷ㇇⌅ˈ䙊䗷ਟ䶐ᙗᤷḷ䇑㇇㔃᷌ሩ⧠ᴹ
䝽⭥㌫㔏䘋㹼䇴ՠˈᡆሩ䝽⭥㌫㔏Ⲵ㿴ࡂ䘋㹼ᤷሬDŽ
䘁ࠐᒤˈ䲿⵰⭥࣋Աъሩ׋⭥ਟ䶐ᙗ䟿⍻઼㇑⨶㜭࣋Ⲵнᯝᨀ儈ˈԕ৺⽮Պሩ׋
⭥ਟ䶐ᙗ䴰≲઼ԧ٬䇔䇶Ⲵᰕ⳺ᨀ儈ˈ䝽⭥㖁ਟ䶐ᙗ䶒Ѥ⵰ࡽᡰᵚᴹⲴ᥁ᡈ઼঻࣋DŽ
˄1˅⭘ᡧᯩ䶒˖ሩ׋⭥ਟ䶐ᙗⲴ㾱≲нᯝ໎࣐DŽ䲿⵰、ᆖᢰᵟⲴਁኅˈӪԜᰕ
ᑨⲴ⭏⍫⎸䍩૱ሩ⭥࣋Ⲵ׍䎆〻ᓖҏ䎺ᶕ䎺བྷˈḀӋ⚥᭿Ⲵ⭥ᆀ䇮༷ሩ׋⭥ਟ䶐ᙗⲴ
㾱≲⴨ሩᴤ儈DŽ
˄2˅ⴁ㇑ᵪᶴ˖ᴤޣ⌘׋⭥ਟ䶐ᙗᤷḷDŽ׋⭥ਟ䶐ᙗޣ㌫⵰⽮ՊⲴっᇊ઼Ӫ≁
Ⲵ⭏⍫DŽ׋⭥ਟ䶐ᙗᤷḷᱟањ㔬ਸᙗ㇑⨶ᤷḷˈᱟሩ⧠ᴹ䝽⭥㖁䘀㹼ᙗ㜭䘋㹼䇴ՠ
Ⲵޣ䭞DŽ
˄3˅⽮Պ㠶䇪˖⭥࣋㹼ъⲴපᯝᙗ֯ᗇ⭘ᡧሩ⭥㜭䍘䟿Ⲵޣ⌘ᓖнᯝ໎࣐DŽ

19. ㅜ 1 ㄐ 㔚䇪
䲔↔ѻཆˈ䲿⵰⭥࣋㌫㔏㓿㩕⨶ᘥⲴਈ䗱ˈ㔤ᤱ⭥࣋㌫㔏ᆹޘǃ㓿⍾䘀㹼ᡀѪ⭥
࣋䘀㩕୶ⲴṨᗳԫ࣑ˈԕ؍䳌⭘ᡧ׋⭥ѪṨᗳԧ٬Ⲵ㓿㩕⁑ᔿ䙀⑀ᖒᡀˈ׋⭥ਟ䶐ᙗ
ᡀѪ⭥࣋Աъ㇑⨶ѝ䶎ᑨ䟽㾱Ⲵа亩ᐕ֌DŽ㘼䲿⵰䝽⭥㖁ѝ䎺ᶕ䎺ཊ࠶ᐳᔿ⭥Ⓚ
˄Distributed Generation, DG˅Ⲵ᧕ޕˈԕ৺ᮤњ⭥㖁ੁᲪ㜭ॆᯩੁⲴਁኅ䎻࣯ˈ䜭ሩ
䝽⭥㌫㔏Ⲵ⚥⍫ǃਟ䶐ᙗᑖᶕҶᯠⲴ᥁ᡈDŽ
ቭ㇑ሩਟ䶐⭥㜭Ⲵ䴰≲䎺ᶕ䎺䘛࠷ˈն⭥࣋㌫㔏ѝᖰᖰՊࠪ⧠Ӫ࣋ᰐ⌅ᦼ᧗Ⲵ䲿
ᵪһ᭵ˈ਼ᰦ⭥㖁Ⲵਟ䶐ᙗ䘈ਇࡠ䈨ྲ⧟ຳ؍ᣔǃ㓿⍾ᣅ䍴ㅹᯩ䶒Ⲵᖡ૽ˈԕ৺䇨ཊ
ަԆഐ㍐Ⲵ䲀ࡦˈѪҶ൘⧠ᴹᣅ䍴≤ᒣ઼ᢰᵟ≤ᒣ޵ቭᴰབྷਟ㜭߿ቁڌ⭥᭵䳌ˈ؍䳌
׋⭥Ⲵਟ䶐ᙗˈቡ䴰㾱␡ޕሩ䝽⭥㌫㔏ਟ䶐ᙗ࠶᷀Ⲵ⹄ウDŽ
5
1.3 ᵜ᮷ᡰڊᐕ֌
1.3.1 ѫ㾱޵ᇩ
ᵜ᮷ㅜҼㄐ㢲ሩ䝽⭥㌫㔏Ⲵสᵜᾲᘥǃ㔃ᶴᖒᔿԕ৺䝽⭥㌫㔏ਟ䶐ᙗⲴ⴨ޣᾲᘥ
䘋㹼Ҷᖂ㓣࠶᷀ˈѫ㾱वᤜ˖䝽⭥㌫㔏ਟ䶐ᙗᤷḷ৺䇑㇇ޜᔿˈ㌫㔏ѝݳԦⲴਟ䶐ᙗ
৲ᮠ৺⁑රˈԕ৺䝽⭥㌫㔏⚥᭿ᓖ⁑ර઼࠶᷀ᯩ⌅DŽ
൘к䘠ส⹰кˈᵜ᮷ㅜйㄐሩ⧠ᴹⲴ਴⿽䝽⭥㌫㔏ਟ䶐ᙗ䇴ՠᯩ⌅䘋㹼Ҷ࠶᷀о
⹄ウˈ൘ㅜഋㄐ㢲䪸ሩᴰሿ䐟ᯩ⌅ᨀࠪҶՈॆ㇇⌅ˈሶ䘚、ᯟᖫ㇇⌅оᴰሿ䐟ᯩ⌅⴨
㔃ਸˈ⭘Ҿ༽ᵲ⭥㖁ѝᴰሿ䐟ᖴⲴ≲ਆDŽ俆ݸሩമⲴ㇇⌅Ⲵสᵜᾲᘥ䘋㹼Ҷ᧿䘠ˈ❦
ਾሩ䘚、ᯟᖫ㇇⌅≲ਆᴰሿ䐟ᖴᰦⲴᯩ⌅䘋㹼࠶᷀DŽ
к䘠㇇⌅Ⲵᙍ䐟ᱟ俆ݸ࡙⭘䘚、ᯟᖫ㇇⌅ሩ਴䍏㦧⛩≲ਆࡠ⭥Ⓚ⛩Ⲵᴰሿ䐟ᖴˈ
❦ਾሶݳԦ࠶Ѫᴰሿ䐟кݳԦ઼䶎ᴰሿ䐟кݳԦє㊫ˈ䙊䗷࠶᷀ݳԦཡ᭸ሩ䍏㦧⛩Ⲵ
ᖡ૽ˈሶ䶎ᴰሿ䐟кݳԦᣈ㇇ࡠ⴨ᓄ㢲⛩кˈ޽ሩ䍏㦧⛩ਟ䶐ᙗᤷḷ䘋㹼䇑㇇ˈ䘋㘼
ᗇࠪ㌫㔏ਟ䶐ᙗᤷḷDŽ
1.3.2 ᵜ᮷ᯠ仆ѻ༴
ᵜ᮷൘ሩ䝽⭥㌫㔏สᵜᾲᘥǃ䝽⭥㖁᧕㓯㔃ᶴǃ䝽⭥ਟ䶐ᙗ䘋㹼࠶᷀Ⲵส⹰кˈ
ᨀࠪҶ䝽⭥㌫㔏ਟ䶐ᙗᤷḷ⚥᭿ᓖⲴᮠ٬㇇⌅ˈᒦሶ䈕⚥᭿ᓖ㇇⌅፼ޕࡠਟ䶐ᙗᤷḷ
䇑㇇䗷〻ѝˈ֯䇑㇇ᴤ࣐儈᭸DŽ
ᵜ᮷สҾ MATLAB ሩࡽ䘠㇇⌅䘋㹼Ҷ㕆〻ˈԕᇎ⧠ሩ༽ᵲ䝽⭥㌫㔏Ⲵਟ䶐ᙗ䇴
ՠ˗᧕⵰ԕ IEEE ㌫㔏 RBTS Bus6 ᡰ䘎᧕䝽⭥㌫㔏Ѫֻˈሩࡽ䘠 ㇇⌅䘋㹼Ҷ╄⽪઼傼
䇱ˈᒦ䙊䗷ާփᮠᦞ傼䇱Ҷ䈕㇇⌅Ⲵਟ⭘ᙗǃᴹ᭸ᙗ˗਼ᰦᵜ᮷䘈ሩ㌫㔏ਟ䶐ᙗᤷḷ
⚥᭿ᓖ䘋㹼Ҷ䇑㇇ˈަ㔃᷌ਟԕ⭘Ҿ࠶᷀䝽⭥㌫㔏ਟ䶐ᙗⲴ㮴ᕡ⧟㢲DŽ

20. к⎧⭥࣋ᆖ䲒⺅༛ᆖս䇪᮷
ㅜ 2 ㄐ 䝽⭥㌫㔏৺ަਟ䶐ᙗ࠶᷀
6
2.1 ᕅ䀰
ᒯѹᶕ䈤ˈਟ䶐ᙗᱟᤷḀݳԦǃӗ૱ᡆ㌫㔏൘аᇊᰦ䰤޵ǃаᇊᶑԦлᰐ᭵䳌ᰐ
䰤ᯝൠᢗ㹼ަ㻛䇮䇑Ⲵ࣏㜭Ⲵ㜭࣋ᡆਟ㜭ᙗDŽሩҾᐕ〻㌫㔏ᶕ䈤ˈਟ䶐ᙗਟԕ䙊䗷ᤷ
ḷᇊѹǃ䇑㇇ǃ⍻䟿ᶕ䘋㹼䟿ॆˈӾ㘼ሩ䈕㌫㔏䘋㹼ᴤ䈖㓶Ⲵ䇴ՠDŽ
Ր㔏кˈ⭥࣋㌫㔏वਜ਼ਁ⭥ǃ䗃⭥ǃ䝽⭥йབྷ䜘࠶ˈ䘉йњ䜘࠶൘аᇊ〻ᓖкᱟ
⴨ӂ⤜・䘀㹼Ⲵ˖
˄1˅ਁ⭥㌫㔏˖ሶަԆᖒᔿⲴ㜭Ⓚቭਟ㜭㓿⍾ൠ䖜ॆѪ⭥㜭Ⲵ䇮ᯭDŽ
˄2˅䗃⭥㌫㔏˖ሶӾਁ⭥䇮ᯭਁࠪⲴ⭥㜭Ր䗃ࡠ⢩ᇊ४ฏⲴ⭥㜭䘀䗃㌫㔏DŽ
˄3˅䝽⭥㌫㔏˖ሶӾ䗃⭥㌫㔏䘀䖭䗷ᶕⲴ⭥㜭࠶䝽ࡠ㓸ㄟ⭘ᡧⲴ⭥࣋㖁㔌㌫㔏DŽ
ሶ⭥࣋ᐕ〻ѝⲴᇎ䱵䰞仈оਟ䶐ᙗ⴨ޣ৏⨶㔃ਸˈׯӗ⭏Ҷ⭥࣋㌫㔏ਟ䶐ᙗ䘉䰘
ᆖ、DŽሩ⭥࣋㌫㔏ਟ䶐ᙗⲴ⹄ウᔰ࿻Ҿкњц㓚 60 ᒤԓᐖਣˈ䲿⵰⭥࣋ᢰᵟⲴ䙀⑀ᡀ
⟏оᆼழˈ⭥࣋㌫㔏ਟ䶐ᙗ⹄ウҏ൘нᯝਁኅˈⴞࡽᐢ㓿ᡀѪ⭥࣋㌫㔏⹄ウѝॱ࠶䟽
㾱Ⲵа䰘ᆖ、DŽ⴨ሩਁ䗃⭥㌫㔏ਟ䶐ᙗ㘼䀰ˈ䝽⭥㌫㔏ਟ䶐ᙗ⹄ウ䎧↕䖳ᲊˈ䘈ᴹ䇨
ཊቊᖵᆼழⲴオ䰤DŽ
2.2 䝽⭥㌫㔏
䝽⭥㌫㔏֌Ѫ䘎᧕䗃⭥㖁ǃ࠶ᐳᔿ⭥Ⓚ઼਴㊫⭘ᡧⲴ䟽㾱⧟㢲ˈᐢ㓿ᡀѪ⧠ԓ⽮
Պ㓿⍾ਁኅⲴ㠣ޣ䟽㾱Ⲵส⹰䇮ᯭDŽ䘁ࠐᒤˈഭᇦ⭥㖁ޜਨ৺ইᯩ⭥㖁ޜਨ࣐བྷҶ䝽
⭥㖁ᔪ䇮઼᭩䙐Ⲵᣅޕ࣋ᓖˈ䝽⭥㖁Ⲵ㿴⁑઼䍘䟿䜭ᱮ㪇ᨀ儈ˈ2012 ᒤ෾㖁⭘ᡧᒤᒣ
൷ڌ⭥ᰦ䰤Ѫ 5.2h˄㓖 311min˅ˈ׋⭥ਟ䶐ᙗ䖳ࡽࠐᒤᴹҶᱮ㪇ⲴᨀॷDŽն⭡Ҿᡁഭ䝽
⭥㖁ਁኅส⹰㮴ᕡˈ10kV ѝ঻䝽⭥㖁ਁኅӽ❦┎ਾˈоц⭼ਁ䗮ഭᇦ⴨∄ˈ൘⭥㖁㔃
ᶴǃḷ߶ॆᔪ䇮઼䝽⭥㠚ࣘॆㅹᯩ䶒ӽᆈ൘䖳བྷᐞ䐍DŽ
2.2.1 䝽⭥㌫㔏ᇊѹ
䝽⭥㌫㔏Ⲵ࣏㜭ᱟӾ䗃⭥㖁᧕ਇ⭥㜭ᒦሶަ࠶䝽ࡠ䝽⭥ਈ⭥ᡰˈ❦ਾ䙊䗷䝽⭥㓯
䐟ੁ⭘ᡧ׋⭥DŽ䝽⭥㌫㔏ᱟ׋⭥४ฏ޵Ⲵ䝽⭥㓯䐟৺䇮ᯭⲴᙫ〠[8]˗䝽⭥㌫㔏Ⲵ㓴ᡀ䜘

21. ㅜ 2 ㄐ 䝽⭥㌫㔏৺ަਟ䶐ᙗ࠶᷀
࠶वਜ਼ਈ/䝽⭥ㄉǃ䝽⭥ਈ঻ಘǃ਴㓗㓯䐟ǃ؍ᣔ㻵㖞ǃ㔬ਸ㇑⨶㌫㔏ㅹ˗䝽⭥㖁ᱟᤷ
䲔Ҽ⅑䇮༷ѻཆⲴަԆ䝽⭥㌫㔏䇮ᯭˈ᤹➗䴰㾱ˈ䝽⭥㖁䙊ᑨᴹྲл࠶㊫˖
˄1˅᤹仍ᇊ⭥঻ㅹ㓗ࡂ࠶˖儈঻䝽⭥㖁˄110kVˈ35kV˅ˈѝ঻䝽⭥㖁˄20kVˈ
10kVˈ6kVˈ3kV˅ˈվ঻䝽⭥㖁˄220V ৺ 380V˅˗
˄2˅᤹׋⭥ൠฏᡆᴽ࣑ሩ䊑ࡂ࠶˖෾ᐲ䝽⭥㖁ˈߌᶁ䝽⭥㖁˗
˄3˅᤹㓯䐟㊫රࡂ࠶˖ᷦオ䝽⭥㖁ˈ⭥㔶䝽⭥㖁ˈᷦオ⭥㔶␧ਸ䝽⭥㖁˗
2.2.2 䝽⭥㖁㔃ᶴᖒᔿ
䝽⭥㖁Ⲵ㔃ᶴᤷⲴᱟ䝽⭥㖁ѝ਴ѫ㾱⭥≄ݳԦ˄ྲਈ঻ಘǃ⇽㓯ǃᯝ䐟ಘǃ侸㓯
ㅹ˅Ⲵ⭥≄䘎᧕ᯩᔿDŽⴞࡽᡁഭ 10kV ѝ঻䝽⭥㖁᧕㓯⁑ᔿѫ㾱वᤜঅ⭥Ⓚ䗀ሴǃĀ᡻
᣹᡻ā⧟ᖒǃཊ⭥Ⓚ⧟ᖒǃཊ࠶⇥ཊ㚄㔌ǃ“N ׋а༷āㅹˈᵜ᮷ѫ㾱ӻ㓽ࠐ⿽ިරⲴ
᧕㓯⁑ᔿDŽ
˄1˅অ⭥Ⓚ䗀ሴ᧕㓯㔃ᶴ
অ⭥Ⓚ䗀ሴ᧕㓯ᱟ䝽⭥㖁ѝᴰㆰঅⲴа⿽᧕㓯ᯩᔿˈঅ⭥Ⓚ䗀ሴ᧕㓯㖁㔌䇮༷⴨
ሩㆰঅˈ䘀㹼㔤ᣔᯩׯˈᔪ䇮ᣅ䍴ሿˈն׋⭥ਟ䶐ᙗ઼⭥঻䍘䟿н儈ˈഐ↔а㡜⭘Ҿ
䍏㦧ᇶᓖн儈ф⭘ᡧ࠶ᐳн䳶ѝⲴൠ४DŽമ 2.1 ᡰ⽪Ѫঅ⭥Ⓚ䗀ሴ᧕㓯㔃ᶴDŽ䍏㦧⭡а
њ⭥Ⓚ׋⭥ˈᖃ䝽⭥㓯䐟ᡆ䇮༷ਁ⭏᭵䳌ǃᆹᧂỰ؞ᰦˈ䍏㦧ণཡ৫׋⭥ˈਟ㿱䘉ᱟ
а⿽׋⭥ਟ䶐ᙗᶱվⲴ᧕㓯㔃ᶴDŽ
7
⭥Ⓚ
ᯝ䐟ಘ
䍏㦧
10kV
മ 2.1 অ䗀ሴ᧕㓯㔃ᶴ
˄2˅Ā᡻᣹᡻ā⧟ᖒ᧕㓯㔃ᶴ
Ā᡻᣹᡻ā⧟ᖒ᧕㓯㔃ᶴᱟ⭡਼а䝽⭥ਈ⭥ㄉⲴн਼⇽㓯ᡆн਼䝽⭥ਈ⭥ᡰⲴ⇽
㓯ᕅࠪєഎ䝽⭥㓯䐟ˈ䙊䗷㚄㔌ᯝ䐟ಘ䘎᧕ᡀ⧟⣦㖁㔌ˈੁ⋯㓯Ⲵ⭘ᡧ䘋㹼׋⭥DŽ↓
ᑨ⣦ᘱл䟷ਆᔰ⧟䘀㹼⁑ᔿˈᖃ㖁㔌ѝḀ४⇥ࠪ⧠᭵䳌ᰦˈ䙊䗷㚄㔌ᯝ䐟ಘਸ䰨䳄⿫
᭵䳌ˈሶ䍏㦧࠷ᦒࡠਖаᶑ侸㓯DŽ᧕㓯ᯩᔿྲമ 2.1 ᡰ⽪DŽĀ᡻᣹᡻ā⧟㖁ⴞࡽѫ㾱ᓄ
⭘Ҿ෾ᐲ䝽⭥㖁ѝˈާᴹᔪ䇮ઘᵏ⸝ǃᣅ䍴⴨ሩ㢲㓖ǃ䘀㔤ᯩׯㅹՈ⛩DŽ

22. к⎧⭥࣋ᆖ䲒⺅༛ᆖս䇪᮷
⭥ⓀA ⭥ⓀB
˄a˅
8
⭥ⓀA
⭥ⓀB
...
...
...
˄b˅
മ 2.2 Ā᡻᣹᡻ā⧟㖁᧕㓯㔃ᶴ
˄a˅ᷦオ㓯䐟Ā᡻᣹᡻ā⧟㖁 ˄b˅⭥㔶㓯䐟Ā᡻᣹᡻ā⧟㖁
⭡Ā᡻᣹᡻ā⧟ᖒ᧕㓯䘈ਟԕᕅ⭣ࠪཊ⭥Ⓚ⧟ᖒ᧕㓯⁑ᔿDŽਆ㠚н਼䝽⭥ਈ⭥ㄉ
Ⲵ⇽㓯䙊䗷㚄㔌ᯝ䐟ಘ䘎᧕ˈ↓ᑨ⣦ᘱл㚄㔌ᯝ䐟ಘ༴Ҿᢃᔰ⣦ᘱˈᖃ㖁㔌ѝḀ⇥㓯
䐟ᡆ䇮༷᭵䳌ǃỰ؞ᰦˈ䙊䗷㚄㔌ᯝ䐟ಘࣘ֌ˈሶ䍏㦧࠷ᦒࡠ⴨䛫侸㓯кDŽ
˄3˅ཊ࠶⇥ཊ㚄㔌᧕㓯㔃ᶴ
ཊ࠶⇥ཊ㚄㔌᧕㓯㔃ᶴᱟ൘ཊ⭥Ⓚ⧟ᖒ᧕㓯Ⲵส⹰кˈ൘ѫᒢ㓯кᆹ㻵࠶⇥ᯝ䐟
ಘˈ֯⇿а࠶⇥䜭䙊䗷㚄㔌ᯝ䐟ಘоަԆ⭥Ⓚ⴨䘎ˈྲമ 2.3 ᡰ⽪DŽᖃ㖁㔌ѝԫа४⇥
᭵䳌ᡆỰ؞ᰦˈ䜭нᖡ૽ަԆ४⇥Ⲵ↓ᑨ׋⭥ˈབྷབྷᨀ儈Ҷ׋⭥ਟ䶐ᙗDŽ
ᷦオ㓯䐟
⭥ⓀA ⭥ⓀB
⭥ⓀC
⭥ⓀD
࠶⇥ᯝ䐟ಘ
࠶⇥ᯝ䐟ಘ
㚄㔌ᯝ䐟ಘ
㚄㔌ᯝ䐟ಘ
㚄㔌ᯝ䐟ಘ
മ 2.3 ཊ࠶⇥ཊ㚄㔌᧕㓯㔃ᶴ
2.3 䝽⭥㌫㔏ਟ䶐ᙗᾲ䘠
䝽⭥㌫㔏ਟ䶐ᙗ࠶᷀ᔰ࿻Ҿкњц㓚 60 ᒤԓˈᖃӪԜ᜿䇶ࡠ䝽⭥㌫㔏׋⭥ਟ䶐ᙗ
о䝽⭥㌫㔏ᔪ䇮ᣅ䍴о䘀㹼᭦⳺ѻ䰤Ⲵ㍗ᇶ㚄㌫ˈ䝽⭥㌫㔏ਟ䶐ᙗⲴ⹄ウ᡽ᔰ࿻䗵䙏
ਁኅˈаӋ⭡儈ㅹ䲒ṑ઼⹄ਁᵪᶴᔰਁⲴਟ䶐ᙗ࠶᷀䖟Ԧᒯ⌋ᓄ⭘Ҿ䝽⭥ޜਨⲴ⭏ӗ
㇑⨶亩ⴞѝDŽնⴞࡽᡁഭ䝽⭥㌫㔏ਟ䶐ᙗ࠶᷀ਁኅ䘈нᡀ⟏ˈӽᆈ൘䇴ՠᯩ⌅нޘ䶒ǃ

23. ㅜ 2 ㄐ 䝽⭥㌫㔏৺ަਟ䶐ᙗ࠶᷀
ਟ䶐ᙗ⁑රнᆼழㅹ䰞仈DŽഐ↔ˈ䝽⭥㌫㔏ਟ䶐ᙗⲴ࠶᷀⹄ウᐕ֌ӽ䴰㾱ᴤ␡ޕൠ䘋
㹼DŽ
2.3.1 䝽⭥㌫㔏ਟ䶐ᙗ䇴ՠ޵ᇩ
䝽⭥㌫㔏Ⲵਟ䶐ᙗ䇴ՠᐕ֌ѫ㾱वਜ਼ԕлࠐњᯩ䶒˖
˄1˅ᇊѹ䝽⭥㌫㔏ਟ䶐ᙗ䇴ՠᤷḷ˗
˄2˅䝽⭥㌫㔏ਟ䶐ᙗᤷḷⲴ䇑㇇˗
˄3˅䝽⭥㌫㔏ਟ䶐ᙗ亴⍻䇴ՠDŽ
䝽⭥㌫㔏ਟ䶐ᙗⲴ⹄ウ࠶᷀ᱟ䙊䗷ᔪ・׋⭥ਟ䶐ᙗᤷḷ亴⍻䇴ՠ⁑රˈ࡙⭘⭥㖁
㔃ᶴᮠᦞ৺䘀㹼㔏䇑ᮠᦞㅹˈ࣋≲䖳Ѫ߶⺞ൠᇊ䟿࠶᷀ࠪ਴⿽⭥㖁ᔪ䇮ǃ᭩䙐ԕ৺਴
⿽ᢰᵟǃ㇑⨶᧚ᯭሩਟ䶐ᙗ≤ᒣⲴᖡ૽ˈᶴᔪ⴨ޣᖡ૽ഐ㍐о׋⭥ਟ䶐ᙗᤷḷ䰤Ⲵ⁑
රփ㌫ˈ䇴ՠ亴⍻ࠪ䖳Ѫਸ⨶Ⲵ׋⭥ਟ䶐ᙗᤷḷDŽ਼ᰦˈ൘ࡦᇊਟ䶐ᙗᤷḷⴞḷ٬ส
⹰кˈਸ⨶࠶䝽㠣⴨ޣ㙼㜭㇑⨶䜘䰘ˈ࠶᷀ࠪн਼⭥㖁ᣅ䍴ㆆ⮕৺䘀㹼ᯩᔿᯩṸሩਟ
䶐ᙗⲴᖡ૽ˈѪᐕ〻亩ⴞߣㆆǃ⭥㖁䘀㹼ᯩᔿᆹᧂǃᢰᵟ㇑⨶᧚ᯭⲴᓄ⭘ᨀ׋、ᆖⲴ
ߣㆆ׍ᦞ઼⨶䇪ᤷሬDŽ
䙊䗷䝽⭥㌫㔏ਟ䶐ᙗ䇴ՠˈਟԕሩᮤњ䝽⭥㌫㔏Ⲵਟ䶐ᙗ࠶ᐳ≤ᒣ㧧ᗇањ∄䖳
ޘ䶒ⲴҶ䀓ˈ䙊䗷᢮ࡠ䝽⭥㖁ѝⲴ㮴ᕡ⧟㢲ˈѪ䝽⭥㖁Ⲵ䘀㹼䘋㹼ᤷሬˈ਼ᰦሩᵚᶕ
䝽⭥㖁Ⲵ㿴ࡂ䎧ࡠ䖵ࣙߣㆆ֌⭘DŽ䙊䗷ሩ䝽⭥㌫㔏ਟ䶐ᙗ䘋㹼䇴ՠˈ䘈ਟԕ㺑䟿᭩ழ
ਟ䶐ᙗⲴᣅ䍴о᭦⳺ˈӾ㘼֯Ѫ㔤ᣔ䝽⭥ਟ䶐ᙗ㘼㙇䍩Ⲵᔪ䇮઼䘀㩕ᡀᵜབྷབྷ߿ቁDŽ
ਟ䶐ᙗᤷḷ਼㖁㔌㔃ᶴǃݳԦ᭵䳌⦷ˈݳԦ᭵䳌ᰦ䰤ǃ䍏㦧≤ᒣㅹഐ㍐ᇶ࠷⴨ޣˈ
ሩк䘠ഐ㍐ᖡ૽лⲴਟ䶐ᙗᤷḷ⚥᭿ᓖ䘋㹼࠶᷀ˈਟԕѪਟ䶐ᙗ᧗ࡦᯩṸⲴࡦᇊᨀ׋
аᇊⲴ׍ᦞDŽਖཆˈањབྷⲴ෾ᐲ⭥㖁䙊ᑨਟ࠶䀓Ѫཊњ׋⭥४ˈ⇿њ࠶४৸ਟࡂ࠶
Ѫ㤕ᒢሿ४⭊㠣㓶ॆࡠਈ⭥ㄉˈ࠶᷀⇿њ׋⭥࠶४Ⲵਟ䶐ᙗሩᮤњ⭥㖁ਟ䶐ᙗⲴᖡ૽
ഐᆀˈ᢮ࡠ਴࠶४ሩᮤњ⭥㖁ਟ䶐ᙗᤷḷⲴ䍑⥞ᓖˈӾ㘼ሩ⇿њ࠶४䘋㹼᧗ࡦ઼㇑⨶
ާᴹ䟽㾱Ⲵᇎ䱵᜿ѹDŽ
2.3.2 䝽⭥㌫㔏ਟ䶐ᙗ䇴ՠⲴᓄ⭘
⹄ウ䝽⭥㌫㔏ਟ䶐ᙗⲴส⹰ᱟӾ⧠ᴹ䝽⭥㌫㔏ѝ᭦䳶⭘Ҿਟ䶐ᙗᤷḷ䇑㇇Ⲵสᵜ
ᮠᦞDŽⴞࡽे㖾єഭሩ䝽⭥㌫㔏ਟ䶐ᙗⲴ⹄ウᐢ㓿ਁኅᗇ∄䖳ޘ䶒ˈᒦሶަ⭘Ҿᤷሬ
ᇎ䱵Ⲵ⭏ӗ㇑⨶DŽ
മ 2.4 ᡰ⽪Ѫሩ㖾ഭ 57 ᇦ⭥࣋䘀㩕୶޵䜘䝽⭥㌫㔏ਟ䶐ᙗᙗ㜭ؑ᚟Ⲵ⭘䙄䘋㹼䈳
ḕਾᗇࠪⲴ㔃᷌DŽަѝ⁚඀ḷѝਟ䶐ᙗᙗ㜭ؑ᚟⭘䙄ԓ⸱ਜ਼ѹ࠶࡛Ѫ˖
1. ṩᦞਟ䶐ᙗ䇴ՠᤷḷᮠᦞˈᶕ؞↓䝽⭥㌫㔏Ⲵ㇑⨶᧚ᯭ˗
9

24. к⎧⭥࣋ᆖ䲒⺅༛ᆖս䇪᮷
2. ᢮ࠪ䝽⭥㌫㔏ѝⲴ㮴ᕡ⧟㢲ˈᤷࠪ䝽⭥㖁Ⲵ㿴ࡂ઼᭩䙐ᯩੁ˗
3. ṩᦞਟ䶐ᙗ䇴ՠᤷḷᮠᦞˈѪ⭥㖁䘀㹼ᯩᔿᆹᧂᨀ׋ߣㆆ׍ᦞ˗
4. ൘㘳㲁ᖃࡽ઼㿴ࡂѝ䝽⭥㌫㔏ਟ䶐ᙗᰦˈ⭘ᶕሩ਴׋⭥࠶४ሩ䝽⭥ਟ䶐ᙗ䍑⥞
䘋㹼ᓖ䟿ˈӾ㘼ሩ਴࠶४䘋㹼㓶ॆ㇑⨶઼᧗ࡦ˗
5. ⭘ᶕປࡦ਴㊫ᣕ㺘˗
6. ֌Ѫࡔᯝ׋⭥ਟ䶐ᙗՈ࣓Ⲵᮠᦞส⹰˗
7. ⭘ᶕሩ䝽⭥㖁㔌᤹➗⭥঻ㅹ㓗䘋㹼㇑⨶᧚ᯭ䈳㢲˗
8. Ѫ⭥࣋䘀㩕୶޵䜘䍴ӗ㇑⨶ᨀ׋ᮠᦞส⹰˗
9. ሶਟ䶐ᙗᙗ㜭ᮠᦞ֌Ѫᐕ〻䀓ߣᯩṸⲴᓖ䟿˗
10. ⭘ᶕ㺑䟿ਟ䶐ᙗᣅ䍴᭦⳺∄˗
11. Ѫ䝽⭥㌫㔏ਟ䶐ᙗ⹄ウᨀ׋⢩ᖱᮠᦞ˗
12. ަᆳDŽ
10
ޜਨᮠ%
100
80
60
40
20
0
1 2 3 4 5 6 7 8 9 10 11 12
ਟ䶐ᙗ⭘䙄ԓ⸱
മ 2.4 䝽⭥㌫㔏ਟ䶐ᙗᮠᦞᓄ⭘
൘ഭᇦ⭥㖁ޜਨˈ䝽⭥㌫㔏ਟ䶐ᙗᮠᦞؑ᚟Ⲵᓄ⭘ѫ㾱փ⧠൘ԕлᯩ䶒˖
˄1˅ഭᇦ⭥㖁ޜਨሶփ⧠⭘ᡧ׋⭥≤ᒣⲴਟ䶐ᙗᤷḷ֌Ѫ㘳䟿਴ⴱ㓗ᐲ㓗⭥࣋ޜ
ਨⲴа亩ъ㔙ᤷḷ˗
˄2˅ሶ׋⭥ਟ䶐ᙗᮠᦞ৽侸㔉⭥࣋䇮༷׋ᓄল୶ˈᴹ࡙Ҿ䇮༷ল୶᭩䘋⭏ӗˈᨀ
儈ⴁ㇑≤ᒣ˗
˄3˅⭘Ҿਁ⧠䝽⭥㌫㔏ѝᆈ൘Ⲵ䰞仈ˈѪࡦᇊ䝽⭥㌫㔏䘀㔤䇑ࡂᨀ׋䖵ࣙߣㆆ׍
ᦞ˗

25. ㅜ 2 ㄐ 䝽⭥㌫㔏৺ަਟ䶐ᙗ࠶᷀
˄4˅ሶ䝽⭥㌫㔏ਟ䶐ᙗᮠᦞؑ᚟⭘Ҿ൘䝽⭥㖁㿴ࡂ䗷〻ѝᵳ㺑ᣅ䍴ᔪ䇮оਟ䶐ᙗ
¦ ˄2.1˅
O O
¦ ˄2.2˅
u O r
11
ᙗ㜭Ⲵ∄䟽DŽ
2.4 䝽⭥㌫㔏Ⲵਟ䶐ᙗ䇴ՠᤷḷ
䝽⭥㌫㔏ਟ䶐ᙗ䇴ՠᤷḷᱟሩ䝽⭥㌫㔏ਟ䶐ᙗ䘋㹼ᇊ䟿࠶᷀Ⲵޣ䭞ˈᱟ䇴ՠ䝽⭥
ਟ䶐ᙗⲴቪᓖˈҏᱟሩ䝽⭥㌫㔏ਟ䶐ᙗ䘋㹼শਢ઼ᵚᶕ䇴ԧⲴส⹰઼สᵜࠪਁ⛩DŽ䝽
⭥㌫㔏ਟ䶐ᙗ䇴ՠवਜ਼є䜘࠶ˈаᱟ㾱ሩ䝽⭥㌫㔏ੁ⭘ᡧⲴ׋⭥㜭࣋䘋㹼䇴ՠˈҼᱟ
ሩ㌫㔏Ⲵᮤփ⣦ߥ䘋㹼ᓖ䟿DŽഐ↔䝽⭥㌫㔏ਟ䶐ᙗᤷḷփ㌫ᓄާᴹԕлࠐ亩สᵜ⢩ᖱ˖
˄1˅䝽⭥㌫㔏ਟ䶐ᙗᤷḷᓄ㜭৽ᓄ㌫㔏Ⲵ䘀㹼⣦ᘱˈሩ⭘ᡧⲴ׋⭥㜭࣋ˈ৺ަᡰ
㾶ⴆ४ฏ޵䇮༷Ⲵ䘀㹼ᙗ㜭˗
˄2˅䝽⭥㌫㔏ਟ䶐ᙗᤷḷᓄ㜭⭡㌫㔏⧠ᴹ䘀㹼㔏䇑ᮠᦞ઼ݳԦᮠᦞ䙊䗷䘲ᖃ㇇⌅
䇑㇇ࠪᶕ˗
˄3˅Ӿ䝽⭥ਟ䶐ᙗ䇴ՠⲴⴞⲴࠪਁˈ䝽⭥㌫㔏ਟ䶐ᙗ䇴ՠᤷḷਟԕ㻛࠶Ѫє㊫˖
䍏㦧⛩ਟ䶐ᙗᤷḷ઼㌫㔏ਟ䶐ᙗᤷḷDŽ䍏㦧⛩઼㌫㔏ਟ䶐ᙗᤷḷ䜭ᱟสҾশਢ㔏䇑ᮠ
ᦞ㓿䗷䙫䗁䇑㇇ᗇࡠⲴՠ䇑ᤷḷDŽ
2.4.1 䍏㦧⛩ਟ䶐ᙗᤷḷ
䝽⭥㌫㔏਴䍏㦧⛩Ⲵਟ䶐ᙗᤷḷ⭘ᶕ䇴ՠঅ⤜䍏㦧⛩Ⲵᤱ㔝׋⭥㜭࣋DŽ䍏㦧⛩ਟ
䶐ᙗᤷḷवᤜᒣ൷ڌ⭥⦷઼ᒣ൷ڌ⭥ᰦ䰤DŽ
˄1˅䍏㦧⛩ᒣ൷ڌ⭥⦷ᱟᤷ䍏㦧⛩൘аᒤѝ⭡Ҿ⭥㖁䇮༷᭵䳌ᡆỰ؞㘼䙐ᡀⲴ⭥
࣋ѝᯝⲴ⅑ᮠDŽަᮠᆖ㺘䗮ᔿྲл[9]˖
s i
i 
s
ަѝˈ s O
Ѫ䍏㦧⛩ᒣ൷ڌ⭥⦷(⅑/ᒤ)˗ i O
ѪݳԦڌ䘀⦷˄वਜ਼᭵䳌઼Ự؞˅˗
˄2˅䍏㦧⛩ᒤᒣ൷ڌ⭥ᰦ䰤ᱟᤷ䍏㦧⛩൘аᒤѝ⭡Ҿ⭥㖁䇮༷᭵䳌ᡆỰ؞㘼ሬ㠤
Ⲵ⭥࣋ѝᯝⲴᰦ䰤DŽަᮠᆖ㺘䗮ᔿྲл˖
s i i
i 
s
ަѝˈ s u Ѫ䍏㦧⛩ᒣ൷ڌ䘀ᰦ䰤(ሿᰦ/ᒤ)˗ i r ѪݳԦڌ䘀ᰦ䰤˄वਜ਼᭵䳌઼Ự؞˅˗
˄3˅䍏㦧⛩ᒣ൷ڌ䘀ᤱ㔝ᰦ䰤ᱟᤷ䍏㦧⛩൘аᒤѝᒣ൷⇿⅑⭡Ҿ⭥㖁䇮༷᭵䳌ᡆ
Ự؞㘼䙐ᡀⲴ⭥࣋ѝᯝⲴᰦ䰤DŽަᮠᆖ㺘䗮ᔿྲл˖

26. к⎧⭥࣋ᆖ䲒⺅༛ᆖս䇪᮷

12
i i
s i s
s
s i
i s
r
r u
O
O O

¦
¦ ˄2.3˅
2.4.2 ㌫㔏ਟ䶐ᙗᤷḷ
䝽⭥㌫㔏חਟ䶐ᙗᤷḷਟṩᦞ䇴ՠ޵ᇩ࠶Ѫє㊫ˈ㺑䟿⭘ᡧ׋⭥㜭࣋Ⲵ׋⭥ਟ䶐
ᙗᤷḷ઼㺑䟿䝽⭥㌫㔏䍏㦧䖜׋㜭࣋Ⲵਟ䶐ᙗᤷḷDŽ
˄1˅㺑䟿⭘ᡧ׋⭥㜭࣋Ⲵ׋⭥ਟ䶐ᙗᤷḷ
㘳㲁ࡠ IEEE 䝽⭥ਟ䶐ᙗᤷḷḷ߶൘ഭ䱵к䟷⭘ᓖ䖳儈ˈᵜ᮷䘹ਆ䈕ḷ߶ᇊѹⲴ׋
⭥ਟ䶐ᙗᤷḷ䘋㹼䱀䘠˖
1˅⭥࣋⭘ᡧᒣ൷ڌ⭥ᰦ䰤˄Customer Average Interruption Duration Index, CAIDI˅ˈ
ᤷ൘㔏䇑ᰦ䰤޵˄䙊ᑨѪаᒤ˅ਇڌ⭥һ᭵ᖡ૽Ⲵ⭘ᡧᒣ൷⇿⅑ڌ⭥ᤱ㔝ᰦ䮯ˈঅս
Ѫሿᰦ/ᒤ˗䇑㇇ޜᔿྲл˖
U N
= = i i
i i
CAIDI
O N
¦
¦
ᡰᴹ⭘ᡧڌ⭥ᤱ㔝ᰦ䰤
ᡰᴹ⭘ᡧڌ⭥⅑ᮠ
˄2.4˅
ᔿѝˈ i N ——䍏㦧⛩ i Ⲵ⭘ᡧᮠ˗
i U ——ᒤڌ⭥ᰦ䰤DŽ
2˅⭥࣋⭘ᡧᒣ൷ڌ⭥仁⦷˄Customer Average Interruption Frequency Index, CAIFI˅ˈ
ᤷ൘㔏䇑ᰦ䰤޵˄䙊ᑨѪаᒤ˅ਇڌ⭥һ᭵ᖡ૽Ⲵ⭘ᡧⲴᒣ൷ڌ⭥⅑ᮠˈঅսѪ⅑/ᒤ˗
䇑㇇ޜᔿྲл˖
¦O
¦
N
' = = i i
i
CAIFI
N
ᡰᴹ⭘ᡧڌ⭥⅑ᮠ
ਇڌ⭥һ᭵ᖡ૽Ⲵ⭘ᡧᮠ
˄2.5˅
ᔿѝˈ '
i N ——䍏㦧⛩ i ༴ਇ⭥࣋ѝᯝһ᭵ᖡ૽Ⲵ⭘ᡧᮠDŽ
3˅㌫㔏ᒣ൷ڌ⭥ᰦ䰤˄System Average Interruption Duration Index, SAIDI˅ˈᤷ൘
㔏䇑ᰦ䰤޵˄䙊ᑨѪаᒤ˅㌫㔏ѝ⭘ᡧᒣ൷⇿⅑ڌ⭥ᤱ㔝ᰦ䮯ˈঅսѪሿᰦ/ᒤ˗䇑㇇
ޜᔿྲл˖
U N
= = i i
i
SAIDI
N
¦
¦
⭘ᡧᙫڌ⭥ᤱ㔝ᰦ䰤
ᙫ⭘ᡧᮠ
˄2.6˅
4˅㌫㔏ᒣ൷ڌ⭥仁⦷˄System Average Interruption Frequency Index, SAIFI˅ˈᤷ൘
㔏䇑ᰦ䰤޵˄䙊ᑨѪаᒤ˅㌫㔏ѝ⭘ᡧⲴᒣ൷ڌ⭥⅑ᮠˈঅսѪ⅑/ᒤ˗䇑㇇ޜᔿྲл˖

27. ㅜ 2 ㄐ 䝽⭥㌫㔏৺ަਟ䶐ᙗ࠶᷀
¦O
¦
N
= = i i
! ڌ⭥⅑ᮠབྷҾQⲴ⭘ᡧᮠ
13
i
SAIFI
N
ᡰᴹ⭘ᡧڌ⭥⅑ᮠ
ᙫ⭘ᡧᮠ
˄2.7˅
5˅㌫㔏㕪׋⭥䟿˄Energy not Served Index, ENSI˅ˈᤷ㌫㔏൘㔏䇑ᰦ䰤޵˄䙊ᑨѪ
аᒤ˅⭡Ҿڌ⭥һ᭵ᑖᶕⲴ⭘ᡧ⭥䟿ᦏཡ˗䇑㇇ޜᔿྲл˖
= ai i ENS ¦L U ˄2.8˅
ᔿѝˈ
ai L ——䍏㦧⛩ i ༴ᡰ䘎᧕Ⲵᒣ൷䍏㦧࣏⦷˄অս kWh˅DŽ
6˅ᒣ൷׋⭥ᴽ࣑ਟ⭘⦷˄Average Service Availability Index, ASAI˅ˈᤷ൘㔏䇑ᰦ䰤
޵˄䙊ᑨѪаᒤ˅⭘ᡧ⭥࣋ਟ⭘ሿᰦᮠо⭥࣋亴ᵏਟ⭘ሿᰦᮠѻ∄˄%˅˗䇑㇇ޜᔿྲ
л˖
8760
= =
¦ ¦
N U N
i i i
8760
i
ASAI
N
¦
⭘ᡧ⭥࣋ਟ⭘ሿᰦᮠ
⭘ᡧ亴ᵏ⭥࣋ਟ⭘ሿᰦᮠ
˄2.9˅
7˅ᒣ൷׋⭥ᴽ࣑нਟ⭘⦷˄Average Service Unavailability Index, ASUI˅ˈᤷ൘㔏
䇑ᰦ䰤޵˄䙊ᑨѪаᒤ˅⭘ᡧ⭥࣋нਟ⭘ሿᰦᮠо⭥࣋亴ᵏਟ⭘ሿᰦᮠѻ∄˄%˅˗䇑
㇇ޜᔿྲл˖
= =
8760
i i
i
U N
ASUI
N
¦
¦
⭘ᡧ⭥࣋нਟ⭘ሿᰦᮠ
⭘ᡧ亴ᵏ⭥࣋ਟ⭘ሿᰦᮠ
˄2.10˅
8˅⭥࣋⭘ᡧ㓿ਇཊ⅑ڌ⭥⦷˄Customer Experiencing Multiple Interruption, CEMI˅ˈ
䈕ᤷḷ⭘Ҿ㔏䇑Ḁ⢩ᇊ⭘ᡧ൘а⇥ᰦ䰤޵Ⲵᤱ㔝ڌ⭥⅑ᮠˈ⭘Ҿ࠶᷀оᒣ൷٬⴨ᐞ䖳
བྷⲴ⢩↺ᛵߥ˗䇑㇇ޜᔿྲл˖
= = k n
i
CEMI CN
N
⭥࣋⭘ᡧᙫᮠ
˄2.11˅
ᔿѝˈ k n CN ! ——㔏䇑ઘᵏ޵ڌ⭥⅑ᮠབྷҾ n ⅑Ⲵ⭘ᡧᮠDŽ
9˅ᒣ൷ⷜᰦڌ⭥⅑ᮠ˄Momentary Average Interruption Frequency Index, MAIFI˅ˈ
䈕ᤷḷ⭘Ҿ㔏䇑аᇊᰦ䰤޵ࠪ⧠ⷜᰦڌ⭥һ᭵Ⲵ仁⦷˗䇑㇇ޜᔿྲл˖
'
IDN
= i i
i
MAIFI
N
ⷜᰦڌ⭥ᙫ⅑ᮠ ¦
⭥࣋⭘ᡧᙫᮠ
˄2.12˅
ᔿѝˈ i ID ——ڌ⭥䇮༷Ⲵ᫽ ֌⅑ᮠDŽ
10˅⭥࣋⭘ᡧ㓿ਇཊ⅑ᤱ 㔝ڌ⭥઼ⷜ ᰦڌ⭥⦷˄Customers Experiencing Multiple
Interruptions and Momentary Interruption Events, CEMSMI˅ˈ䈕ᤷḷ⭘Ҿ㔏䇑㓿ਇᤱ㔝ੜ

28. к⎧⭥࣋ᆖ䲒⺅༛ᆖս䇪᮷
CEMSMI CNT
! ᤱ㔝ڌ⭥઼ⷜᰦڌ⭥⅑ᮠབྷҾQⲴ⭘ᡧᮠ
14
㿱઼ⷜᰦڌ⭥Ⲵ⅑ᮠ˗䇑㇇ޜᔿྲл˖
= =k n
i
N
⭥࣋⭘ᡧᙫᮠ
˄2.13˅
ᔿѝˈ k n CNT ! ——㔏䇑ઘᵏ޵ᤱ㔝ڌ⭥઼ⷜᰦڌ⭥⅑ᮠབྷҾ n Ⲵ⭘ᡧᮠDŽ
˄2˅㺑䟿䝽⭥㌫㔏䍏㦧䖜׋㜭࣋Ⲵਟ䶐ᙗᤷḷ
㚄㔌⦷ਟ䶐ᙗᤷḷѫ㾱⭘Ҿ䇴ԧ䝽⭥㌫㔏ਁ⭏᭵䳌ᰦ䍏㦧׋⭥Ⲵ䖜〫㜭࣋ˈ⭘Ҿ
䝽⭥㌫㔏ਟ䶐ᙗ亴⍻࠶᷀ѝˈѫ㾱वᤜԕлࠐњᤷḷ[10]˖
1˅㚄㔌⦷ᤷḷˈ⭘ᶕ䇴ՠ䝽⭥㌫㔏᧕㓯㔃ᶴⲴ㚄㔌ᕪᕡˈ᧿䘠Ҷ᭵䳌ᰦ㓯䐟Ⲵق
䘱㜭࣋˗䇑㇇ޜᔿྲл˖
w= u100% ᭵䳌ਁ⭏ᰦਟ࠷ᦒⲴ䍏㦧ח४⇥ᮠ
᭵䳌ਁ⭏ᰦ࠶⇥ᔰޣࣘ֌ਾ⭥Ⓚח४⇥ᮠ
˄2.14˅
w=1㺘⽪䈕侸⭥㓯ਟԕ࠷ᦒ˗
2˅ᴹ᭸䘀㹼⦷ᤷḷˈ⭘Ҿ䇴ՠਁ⭏᭵䳌ᰦ࠶ᣵަԆ४⇥䍏㦧Ⲵ㜭࣋ˈᱟ侸㓯ਁ⭏
᭵䳌ᰦᡰᴹ਴४⇥ᱟ੖䜭ਟԕ࠷ᦒⲴࡔᦞ˗䇑㇇ޜᔿྲл˖
K = + u100% ↓ᑨᐕ֌ᰦ侸㓯䍏䖭⭥⍱ ᡰ㚄㔌४⇥ᴰབྷ䍏䖭⭥⍱
⸝ᰦݱ䇨⭥⍱
˄2.15˅
K =100%ѪѤ⭼٬ˈK 100%㺘⽪ᴹ㼅ᓖ˗
3˅䘲࠷侸㓯⦷ᤷḷˈ⭘Ҿ䇴ԧ䝽⭥㌫㔏᧕㓯⁑ᔿлⲴ侸㓯㼅ᓖ˗䇑㇇ޜᔿྲл˖
q= ᴹ᭸䘀㹼⦷ K
н䏣 100% Ⲵ侸㓯ᮠ
u 100%
侸㓯ᙫᮠ
˄2.16˅
2.5 䝽⭥㌫㔏ݳԦਟ䶐ᙗ৲ᮠ৺⁑ර
൘⭥࣋㌫㔏ਟ䶐ᙗ䇴ՠѝˈݳԦਟԕ࠶Ѫਟ؞༽ݳԦ઼нਟ؞༽ݳԦ˖㤕ݳԦᣅ
ޕ֯⭘ਾаᰖਁ⭏᭵䳌ׯᰐ⌅؞༽ˈᡆ㲭❦؞༽ն䙐ԧᰲ䍥ˈࡉ〠䘉⿽䇮༷Ѫнਟ؞
༽ݳԦˈ㤕ݳԦ֯⭘а⇥ᰦ䰤޵ਾਁ⭏᭵䳌㓿؞༽ਟԕᚒ༽ࡠ↓ᑨᐕ֌⣦ᘱˈ䘉⿽䇮
༷ণѪਟ؞༽ݳԦ[11]ˈਟ؞༽ݳԦঐ⭥࣋㌫㔏ѝݳԦⲴ㔍བྷ䜘࠶˗䝽⭥㌫㔏ѝⲴݳԦ
ѫ㾱वਜ਼⇽㓯ǃᷦオ㓯䐟ǃ⭥㔶ǃ䳄⿫ᔰޣǃᯝ䐟ಘǃ䍏㦧ᔰޣ৺䝽⭥ਈ঻ಘㅹˈ䘉
Ӌѫ㾱ݳԦ൷Ѫਟ؞༽ݳԦˈഐ↔ˈ൘䝽⭥㌫㔏ਟ䶐ᙗ࠶᷀ѝˈሶ⎹৺ࡠⲴݳԦ൷㿶
Ѫਟ؞༽ݳԦDŽ

29. ㅜ 2 ㄐ 䝽⭥㌫㔏৺ަਟ䶐ᙗ࠶᷀
2.5.1 䝽⭥㌫㔏ݳԦਟ䶐ᙗ৲ᮠ
ݳԦਟ䶐ᙗ৲ᮠ኎Ҿ㔏䇑㊫ᤷḷˈ৸〠ݳԦ᭵䳌㔏䇑ˈ⺞ᇊݳԦਟ䶐ᙗ৲ᮠˈᱟ
䘋㹼䝽⭥㌫㔏ਟ䶐ᙗ࠶᷀Ⲵㅜа↕DŽݳԦਟ䶐ᙗ৲ᮠѫ㾱वᤜਟ⭘ᓖǃ᭵䳌⦷ǃ؞༽
⦷ǃᒣ൷᭵䳌؞༽ᰦ䰤ǃᒣ൷᭵䳌䰤䳄ǃ䇑ࡂỰ؞⦷ǃ䇑ࡂỰ؞ᰦ䰤ㅹ[10]˖
˄1˅ਟ⭘ᓖ
ݳԦⲴਟ⭘ᓖᱟᤷањݳԦ൘㿴ᇊⲴᶑԦ઼亴ᇊⲴᰦ䰤޵ˈ㜭ᢗ㹼㿴ᇊ࣏㜭Ⲵᾲ
⦷DŽݳԦⲴਟ䶐ᓖᱟԕᰦ䰤Ѫ㠚ਈ䟿Ⲵ࠭ᮠ R(t).а㡜ᛵߥлˈݳԦⲴਟ䶐ᓖᱟᤷަሯ
ભ T 䎵䗷Ḁ亴ᵏ٬ t Ⲵᾲ⦷ˈণ˖
R(t) P[T ! t] ˄2.17˅
нਟ䶐ᓖ˄৸〠᭵䳌࠭ᮠ˅ᱟᤷݳԦӾᣅޕ֯⭘ࡠᰦ࡫ t ਁ⭏᭵䳌Ⲵᾲ⦷ˈҏᱟᰦ
䰤Ⲵ࠭ᮠˈ䇠֌ F(t).ݳԦⲴнਟ䶐ᓖਟԕ⭘ݳԦⲴሯભ T ሿҾ઼ㅹҾᰦ䮯 t Ⲵᾲ⦷ᶕ
㺘⽪ˈণ˖
F(t) P[T d t] ˄2.18˅
˄2˅᭵䳌⦷ ( ) R O t ᱟݳԦӾᣅޕ֯⭘ᔰ࿻ࡠᰦ࡫t ӽ↓ᑨᐕ֌ⲴᶑԦлˈ൘䈕ᰦ࡫
ѻਾ[t, t+Ƹt]ᰦ䰤䰤䳄޵ਁ⭏᭵䳌ⲴᶑԦᾲ⦷ᇶᓖˈণ˖
(t)= lim 1 [ | |] R t
(t)= lim 1 [ | |] R t D D
= Rt 1
D
³f ˄2.21˅
15
0
Pt T t t T t
t
O
' o
' !
'
˄2.19˅
᭵䳌⦷ ( ) R O t ᱟᱟԕᰦ䰤 t Ѫ㠚ਈ䟿Ⲵ࠭ᮠˈնݳԦⲴ൘Ḁа䱦⇥Ⲵっᘱ᭵䳌⦷ R O
ਟԕӾݳԦⲴ䈅傼ᡆ䘀㹼䇠ᖅᮠᦞѝ㧧ᗇ˗
˄3˅؞༽⦷ ( ) R P t ᱟᤷݳԦ⭡ڌ䘀⣦ᘱᚒ༽↓ᑨ䘀㹼⣦ᘱⲴᾲ⦷ˈ㺘᰾ݳԦ᭵䳌ਾ
؞༽Ⲵ䳮ԕ〻ᓖ৺᭸᷌DŽ؞༽⦷ⲴᇊѹᱟݳԦ൘ t ᰦ࡫ѻࡽ༴Ҿ᭵䳌⣦ᘱⲴᶑԦлˈ൘
䈕ᰦ࡫ѻਾ[t, t+Ƹt]ᰦ䰤䰤䳄޵㻛؞༽ⲴᶑԦᾲ⦷ᇶᓖˈণ˖
0
Pt T t t T t
t
P
' o
' !
'
˄2.20˅
ᔿѝˈTD——ݳԦⲴ᭵䳌؞༽ᰦ䰤˗
˄4˅ᒣ൷᭵䳌؞༽ᰦ䰤˄Mean Time to Repair, MTTR˅ᤷⲴᱟݳԦᒣ൷⇿⅑᭵䳌
؞༽ᡰ⭘Ⲵᰦ䰤DŽ⭡ҾݳԦ䘎㔝ڌ䘀ᰦ䰤ᱟањ䲿ᵪਈ䟿ˈᡰԕ䙊ᑨ⭘ަᵏᵋ٬ᶕ㺘
⽪ˈ䙊ᑨ䇠Ѫ TD.ᖃ؞༽⦷Ѫᑨᮠˈণ ( )= R R P t P ᰦˈᒣ൷᭵䳌؞༽ᰦ䰤Ⲵᵏᵋ٬Ѫ˖
0
R
T e P dt
P

30. к⎧⭥࣋ᆖ䲒⺅༛ᆖս䇪᮷
⭡ᔿ 2.20 ਟ㿱ˈ൘؞༽⦷Ѫᑨ䟿Ⲵᛵߥлˈᒣ൷᭵䳌؞༽ᰦ䰤 TD о؞༽⦷PR ӂ
= Rt 1
U
³f ˄2.22˅
16
Ѫقᮠ˗
˄5˅ᒣ൷ᰐ᭵䳌ᐕ֌ᰦ䰤˄Mean Time to Failure, MTTF˅ᱟݳԦ䘎㔝ᐕ֌ᰦ䰤䲿
ᵪਈ䟿Ⲵᵏᵋ٬ˈ䙊ᑨ䇠ѪTU.ᖃ᭵䳌⦷ѪᑨᮠˈণOR (t)=ORᰦˈᒣ൷ᰐ᭵䳌ᐕ֌ᰦ䰤
Ⲵᵏᵋ٬Ѫ˖
0
R
T e O dt
O
⭡ᔿ 2.21 ਟ㿱ˈ൘᭵䳌⦷ѪᑨᮠⲴᛵߥлˈᒣ൷᭵䳌؞༽ᰦ䰤 TU о؞༽⦷ ȜR
ӂѪقᮠDŽ
2.5.2 䝽⭥㌫㔏ݳԦਟ䶐ᙗ⁑ර
മ 2.5 ᡰ⽪Ѫ䝽⭥㌫㔏ѝⲴݳԦᡰᴹਟ㜭ࠪ⧠Ⲵ⣦ᘱDŽ
ㅜ1㊫
ㅜ2㊫
ㅜ3㊫
ㅜ4㊫
൘䘀㹼
༷⭘
䇑ࡂỰ؞
ᕪ䘛ڌ䘀
ਟ⭘
нਟ⭘
ᣅޕ֯⭘
ڌ→֯⭘
䝽
⭥
㌫
㔏
ݳ
Ԧ
⣦
ᘱ
മ 2.5 䝽⭥㌫㔏ѝݳԦ⣦ᘱ㊫ර[12]
а㡜ᛵߥлˈн㘳㲁㓶࠶Ⲵ਴㊫䶎䇑ࡂڌ䘀⣦ᘱˈਚ㘳㲁ݳԦⲴ䘀㹼ǃỰ؞ǃڌ
䘀й⿽⣦ᘱˈᗇࡠݳԦⲴй⣦ᘱ⁑රˈྲമ 2.6 ᡰ⽪DŽ

31. ㅜ 2 ㄐ 䝽⭥㌫㔏৺ަਟ䶐ᙗ࠶᷀
മ 2.6 ݳԦй⣦ᘱ⁑ර
ަѝ N 㺘⽪ݳԦ↓ᑨ䘀㹼Ⲵ⣦ᘱˈM 㺘⽪ݳԦ䇑ࡂỰ؞Ⲵ⣦ᘱˈR 㺘⽪ݳԦⲴ᭵
䳌⣦ᘱDŽȜR ѪݳԦӾ↓ᑨ䘀㹼⣦ᘱੁ᭵䳌⣦ᘱ䖜ᦒⲴᾲ⦷ˈণ᭵䳌⦷˗PR ѪݳԦӾ᭵
䳌⣦ᘱੁ↓ᑨ䘀㹼⣦ᘱ䖜ᦒⲴᾲ⦷ˈণ᭵䳌؞༽⦷˗ȜM ѪݳԦӾ↓ᑨ䘀㹼⣦ᘱੁỰ؞
⣦ᘱ䖜ᦒⲴᾲ⦷ˈণỰ؞⦷˗PR ѪݳԦӾỰ؞⣦ᘱੁ↓ᑨ䘀㹼⣦ᘱ䖜ᦒⲴᾲ⦷ˈণỰ
؞؞༽⦷ˈоỰ؞ᰦ䰤 TM ӂѪقᮠDŽ
㤕ਚ㘳㲁ݳԦⲴڌ䘀઼↓ᑨᐕ֌є⿽⣦ᘱˈሶй⣦ᘱ⁑රѝݳԦⲴ᭵䳌⣦ᘱоỰ
؞⣦ᘱਸᒦˈਟԕᗇࡠݳԦⲴє⣦ᘱ⁑රDŽྲമ 2.7 ᡰ⽪DŽ
മ 2.7 ݳԦє⣦ᘱ⁑ර
ަѝ N ѪݳԦ↓ᑨ䘀㹼⣦ᘱˈF Ѫڌ䘀⣦ᘱˈȜ ѪݳԦӾ↓ᑨ䘀㹼⣦ᘱੁڌ䘀⣦ᘱ
䖜ᦒⲴᾲ⦷ˈণڌ䘀⦷˗PѪݳԦӾڌ䘀⣦ᘱੁ↓ᑨ䘀㹼⣦ᘱ䖜ᦒⲴᾲ⦷ˈণ؞༽⦷DŽ
㓿䗷傜ቄ、ཛ˄Markov˅⣦ᘱ䗷〻࠶᷀ˈݳԦй⣦ᘱ⁑රоє⣦ᘱ⁑රлݳԦⲴ
O O O
R M
P P
R M
17
ਟ䶐ᙗ৲ᮠᴹྲлޣ㌫˖
= +
= +
+
M R R M
P
O P O P
­°®°¯
˄2.22˅
2.6 䝽⭥㌫㔏ਟ䶐ᙗᤷḷ⚥᭿ᓖ࠶᷀
䝽⭥㖁ਟ䶐ᙗᤷḷˈަᮠ٬བྷሿо䝽⭥㖁᧕㓯㔃ᶴǃݳԦڌ䘀⦷ˈݳԦڌ䘀ᰦ䰤ǃ
䍏㦧⣦ߥㅹഐ㍐ᇶ࠷⴨ޣˈሩк䘠ഐ㍐ᖡ૽лⲴਟ䶐ᙗᤷḷ⚥᭿ᓖ䘋㹼࠶᷀ˈਟԕѪ
ਟ䶐ᙗ᧗ࡦᯩṸⲴࡦᇊᨀ׋аᇊⲴ׍ᦞˈ䘈ਟԕሩн਼᧕㓯⁑ᔿⲴਟ䶐ᙗᴰՈ᧗ࡦㆆ
⮕䘋㹼࠶᷀DŽ

32. к⎧⭥࣋ᆖ䲒⺅༛ᆖս䇪᮷
2.6.1 䝽⭥㌫㔏ਟ䶐ᙗᖡ૽ഐ㍐Ⲵ࠶㊫৺࠶᷀ᯩ⌅
ṩᦞ䝽⭥㌫㔏ਟ䶐ᙗᖡ૽ഐ㍐Ⲵ⢩⛩ˈਟԕ࠶Ѫє㊫ˈа㊫ᱟਟ䟿ॆⲴഐ㍐ˈྲ
䝽⭥㖁ѝ਴ݳԦⲴڌ䘀⦷৺ڌ䘀ᰦ䰤ˈа㊫ᱟнਟ䟿ॆഐ㍐ˈྲ㖁ᷦ㔃ᶴǃ⭥㔶㾶ⴆ
⦷ǃ䝽⭥㠚ࣘॆ≤ᒣㅹㅹˈާփྲമ 2.6 ᡰ⽪DŽ
ਟ䟿ॆഐ㍐ᖡ૽лਟ䶐ᙗᤷḷ⚥᭿ᓖⲴᵜ䍘ᱟਟ䶐ᙗᤷḷሩ਴ᖡ૽ഐ㍐Ⲵٿᗞ
࠶ˈ❦㘼൘ᇎ䱵ᓄ⭘䈕ᯩ⌅ѝᖰᖰ䇑㇇༽ᵲˈ㘼фн᱃䙊䗷䇑㇇ᵪ㕆〻ᇎ⧠DŽ䢤Ҿᇎ
䱵ᓄ⭘ѝሩ⚥᭿ᓖᮠ٬Ⲵ㋮⺞ᓖ㾱≲н儈ˈഐ↔ਟԕ䟷⭘ᮠ٬⌅ሩਟ䶐ᙗᤷḷ⚥᭿ᓖ
䘋㹼࠶᷀ˈྲ䇑㇇ਟ䶐ᙗᤷḷሩݳԦڌ䘀⦷Ⲵ⚥᭿ᓖˈਟݸሩḀаݳԦڌ䘀⦷≤ᒣл
Ⲵਟ䶐ᙗᤷḷ䘋㹼䇑㇇ˈ޽Ѫ䈕ݳԦڌ䘀⦷䇮㖞ањঅս໎䟿ˈ޽䟽༽ਟ䶐ᙗᤷḷ䇑
㇇䗷〻ˈᴰਾ⭘ᯠⲴᤷḷ਼৏ᶕⲴᤷḷ⴨߿ˈণਟ㧧ᗇਟ䶐ᙗᤷḷሩݳԦڌ䘀⦷Ⲵ⚥
᭿ᓖᮠ٬DŽਟ䟿ॆഐ㍐Ⲵ⚥᭿ᓖਟ࠶Ѫє㊫˖ሩ䍏㦧⛩ਟ䶐ᙗᤷḷⲴ⚥᭿ᓖ઼ሩ㌫㔏
ਟ䶐ᙗᤷḷⲴ⚥᭿ᓖDŽ࠶᷀ਟ䶐ᙗᤷḷሩнਟ䟿ॆഐ㍐Ⲵ⚥᭿ᓖˈਟԕ൘ݳԦڌ䘀⦷ǃ
ڌ䘀ᰦ䰤ˈ䍏㦧⣦ߥㅹᶑԦപᇊⲴᛵߥлˈ൘ࠐ⿽ިරⲴ᧕㓯⁑ᔿлሩਟ䶐ᙗᤷḷ䘋
㹼䇑㇇ˈ䙊䗷ሩࠐ⿽᧕㓯ᯩᔿлਟ䶐ᙗᤷḷ䘋㹼∄䖳ˈׯਟᗇࠪਟ䶐ᙗᤷḷ൘н਼᧕
㓯⁑ᔿᖡ૽лⲴ⚥᭿ᓖ[14]DŽ
ਟ䟿ॆഐ㍐ нਟ䟿ॆഐ㍐
㓯䐟৲ᮠ ਈ঻ಘ৲ᮠ ᯝ䐟ಘ৲ᮠ ⇽㓯৲ᮠ 㖁㔌᧕㓯⁑ᔿ
18
㓯䐟ڌ䘀⦷
㓯䐟ڌ䘀ᰦ䰤
ਈ঻ಘڌ䘀⦷
ਈ঻ಘڌ䘀ᰦ䰤
ᯝ䐟ಘڌ䘀⦷
ᯝ䐟ಘڌ䘀ᰦ䰤
⇽㓯ڌ䘀⦷
⇽㓯ڌ䘀ᰦ䰤
侸㓯ᒣ൷⭘ᡧᮠ ᒣ൷ѫᒢ㓯䮯ᓖ
⭥㔶ॆ⦷ ᒢ㓯ᒣ൷࠶⇥ᮠ
䝽⭥ਈ঻ಘᱟ੖
ᴹ༷⭘
ᱟ੖ᱟᇎ侸㓯㠚ࣘॆ
ਟ䶐ᙗᖡ૽ഐ㍐࠶㊫
മ 2.6 䝽⭥㌫㔏ਟ䶐ᙗᖡ૽ഐ㍐Ⲵ࠶㊫
2.6.2 䝽⭥㌫㔏ਟ䶐ᙗ⚥᭿ᓖᤷḷ
䝽⭥㌫㔏ਟ䶐ᙗᤷḷ⚥᭿ᓖ৽ᓄⲴᱟݳԦਟ䶐ᙗ৲ᮠⲴਈॆሩ㌫㔏ਟ䶐ᙗᑖᶕⲴ
᭩ਈ〻ᓖ৺ਈॆ䎻࣯ˈഐ↔䝽⭥㌫㔏ਟ䶐ᙗᤷḷ⚥᭿ᓖⲴᇎ䍘ᱟਟ䶐ᙗᤷḷሩ㌫㔏਴
ݳԦਟ䶐ᙗ৲ᮠⲴٿᗞ࠶DŽ
а㡜ᶕ䈤ˈ൘䝽⭥㖁ਟ䶐ᙗ⚥᭿ᓖ࠶᷀ѝݳԦਟ䶐ᙗ৲ᮠѫ㾱ᤷݳԦⲴڌ䘀⦷ i O
ԕ৺ڌ䘀ᰦ䰤 i u DŽ䙊䗷ਟ䶐ᙗ⚥᭿ᓖ࠶᷀ਟԕ⺞ᇊሩ䝽⭥㖁ਟ䶐ᙗᖡ૽䖳བྷⲴ䇮༷ˈ

33. ㅜ 2 ㄐ 䝽⭥㌫㔏৺ަਟ䶐ᙗ࠶᷀
Ӿ㘼൘ࡦᇊᣅ䍴ᯩṸᰦˈਟԕՈݸ㘳㲁᭩ழ䈕䇮༷ਟ䶐ᙗˈԕᨀ儈ᮤњ䝽⭥㖁Ⲵਟ䶐
ᙗDŽ
ѪҶᇊ䟿䇴ՠਟ䶐ᙗᤷḷሩ䇮༷৲ᮠⲴ⚥᭿ᓖˈ䴰㾱ᔪ・а㌫ࡇⲴ⚥᭿ᓖᤷḷ[16]˖
1˅SAIDI ሩݳԦਟ䶐ᙗ৲ᮠⲴ⚥᭿ᓖ
䈕⚥᭿ᓖ৽᱐ݳԦਟ䶐ᙗ৲ᮠⲴᗞሿਈॆሩ㌫㔏ᒣ൷ڌ⭥ᰦ䰤䙐ᡀᖡ૽Ⲵ〻ᓖDŽ
ྲ᷌ SAIDI ሩḀаݳԦਟ䶐ᙗ৲ᮠⲴ⚥᭿ᓖᮠ٬䖳བྷˈࡉሩ䈕ݳԦⲴਟ䶐ᙗ৲ᮠ䘋㹼
᭩ழᴹࣙҾ߿ቁ㌫㔏ᒣ൷ڌ⭥ᰦ䰤ˈSAIDI ሩ਴ݳԦਟ䶐ᙗ৲ᮠⲴ⚥᭿ᓖ࠶࡛Ѫ
wSAIDI / wOi৺ / i wSAIDI wu ˗
2˅SAIFI ሩݳԦਟ䶐ᙗ৲ᮠⲴ⚥᭿ᓖ
䈕⚥᭿ᓖ৽᱐ݳԦਟ䶐ᙗ৲ᮠⲴᗞሿਈॆሩ㌫㔏ᒣ൷ڌ⭥仁⦷䙐ᡀᖡ૽Ⲵ〻ᓖDŽ
ྲ᷌ SAIFI ሩḀаݳԦਟ䶐ᙗ৲ᮠⲴ⚥᭿ᓖᮠ٬䖳བྷˈࡉሩ䈕ݳԦⲴਟ䶐ᙗ৲ᮠ䘋㹼
᭩ழᴹࣙҾ䱽վ㌫㔏ᒣ൷ڌ⭥仁⦷ˈSAIFI ሩ਴ݳԦਟ䶐ᙗ৲ᮠⲴ⚥᭿ᓖ࠶࡛Ѫ
19
/ i wSAIFI wO ৺ / i wSAIFI wu ˗
3˅CAIDI ሩݳԦਟ䶐ᙗ৲ᮠⲴ⚥᭿ᓖ
䈕⚥᭿ᓖ৽᱐ҶݳԦਟ䶐ᙗ৲ᮠⲴᗞሿਈॆሩ⭘ᡧᒣ൷ڌ⭥ᰦ䰤䙐ᡀᖡ૽Ⲵ〻
ᓖDŽྲ᷌ CAIDI ሩḀаݳԦਟ䶐ᙗ৲ᮠⲴ⚥᭿ᓖᮠ٬䖳བྷˈࡉ᭩ழ䈕৲ᮠᴹࣙҾ߿ቁ
⭘ᡧᒣ൷ڌ⭥ᰦ䰤ˈCAIDI ሩݳԦਟ䶐ᙗ৲ᮠⲴ⚥᭿ᓖ࠶࡛Ѫ / i wCAIDI wO ৺
/ i wCAIDI wu ˗
4˅ENSI ሩݳԦਟ䶐ᙗ৲ᮠⲴ⚥᭿ᓖ
䈕⚥᭿ᓖ৽᱐ҶݳԦਟ䶐ᙗ৲ᮠⲴᗞሿਈॆሩ㌫㔏㕪׋⭥䟿䙐ᡀᖡ૽Ⲵ〻ᓖDŽྲ
᷌ ENSI ሩḀаݳԦਟ䶐ᙗ৲ᮠⲴ⚥᭿ᓖᮠ٬䖳བྷˈࡉ᭩ழ䈕৲ᮠᴹࣙҾ߿ቁ㌫㔏⭥䟿
н䏣ˈENSI ሩݳԦਟ䶐ᙗ৲ᮠⲴ⚥᭿ᓖ࠶࡛Ѫ / i wENSI wO ৺ / i wENSI wu ˗
5˅LOSS ሩݳԦਟ䶐ᙗ৲ᮠⲴ⚥᭿ᓖ
䈕⚥᭿ᓖ৽᱐ҶݳԦਟ䶐ᙗ৲ᮠⲴᗞሿਈॆሩ㌫㔏ᙫڌ⭥ᦏཡ䙐ᡀᖡ૽Ⲵ〻ᓖDŽ
ྲ᷌ LOSS ሩḀаݳԦਟ䶐ᙗ৲ᮠⲴ⚥᭿ᓖᮠ٬䖳བྷˈࡉ᭩ழ䈕৲ᮠᴹࣙҾ߿ቁ㌫㔏
ᙫڌ⭥ᦏཡˈLOSS ሩݳԦਟ䶐ᙗ৲ᮠⲴ⚥᭿ᓖ࠶࡛Ѫ / i wLOSS wO ৺ / i wLOSS wu ˗
6˅AENS ሩݳԦਟ䶐ᙗ৲ᮠⲴ⚥᭿ᓖ
䈕⚥᭿ᓖ৽᱐ҶݳԦਟ䶐ᙗ৲ᮠⲴᗞሿਈॆሩ⭘ᡧᒣ൷ڌ⭥⭥䟿䙐ᡀᖡ૽Ⲵ〻
ᓖDŽྲ᷌ AENS ሩḀаݳԦਟ䶐ᙗ৲ᮠⲴ⚥᭿ᓖᮠ٬䖳བྷˈࡉ᭩ழ䈕৲ᮠᴹࣙҾ߿ቁ

34. к⎧⭥࣋ᆖ䲒⺅༛ᆖս䇪᮷
⭘ᡧᒣ൷ڌ⭥⭥䟿ˈAENS ሩݳԦਟ䶐ᙗ৲ᮠⲴ⚥᭿ᓖ࠶࡛Ѫ wAENS / wOi ৺
20
/ i wAENS wu .
2.6.3 䝽⭥㌫㔏ਟ䶐ᙗ⚥᭿ᓖ࠶᷀
ਟ䶐ᙗ⚥᭿ᓖ࠶᷀ᖃࡽ䟷⭘Ⲵᯩ⌅สᵜк䜭ᱟ䀓᷀⌅ˈণሩਈ䟿≲ਆٿሬᮠˈՈ
⛩ᱟᾲᘥ␵Რˈ㕪⛩ᱟ≲䀓ࠪⲴ䀓᷀ޜᔿӽ❦ᱟ㾱สҾ㖁㔌᧕㓯ᛵߥ䘋㹼ᶑԦ≲઼ǃ
≲〟ˈо䟽ᯠ㇇а䙽ਟ䶐ᙗᡰ㙇䍩Ⲵᰦ䰤⴨ᐞᰐࠐˈᖃ࠶᷀Ⲵഐ㍐䖳ཊᰦ䴰࠶࡛ሩ⇿
њਈ䟿≲ሬˈ᧘ሬ䗷〻䖳Ѫ哫✖ˈф਼ṧ䴰㾱䟽ᯠสҾ㖁㔌᧕㓯ᛵߥ䘋㹼ᶑԦ≲઼ǃ
≲〟DŽ䘉ṧሶሬ㠤䇑㇇ᰦ䰤੸ࠐօؽᮠ໎࣐ˈᖃ⭘Ҿ࠶᷀བྷර⭥㖁ᰦሶՊ䶎ᑨ㙇ᰦDŽ
ᵜ᮷⹄ウҶа⿽ᯠⲴ⚥᭿ᓖ࠶᷀ᯩ⌅——ᮠᦞ䀓⌅ˈ䘉⿽ᯩ⌅สҾᴰสᵜⲴ⚥᭿ᓖᾲ
ᘥˈਟ޵፼ࡠਟ䶐ᙗ䇴ՠⲴ䇑㇇⍱〻ѝˈབྷབྷ㕙⸝⚥᭿ᓖ䇑㇇Ⲵᰦ䰤ˈ㘼фᰐ䴰㾱᧘
ሬ≲ሬ䀓᷀ᔿˈׯҾ⨶䀓DŽ
ሩਟ䶐ᙗᤷḷ⚥᭿ᓖ䘋㹼䇴ՠ䟷⭘ᮠ٬⌅䘋㹼䟿ॆ䇑㇇ˈণᖃ࠶᷀ਟ䶐ᙗᤷḷሩ
ḀݳԦڌ䘀⦷Ⲵ⚥᭿ᓖᰦˈݸ䇑㇇൘ḀаݳԦڌ䘀⦷≤ᒣлⲴਟ䶐ᙗᤷḷˈ޽㔉䈕ݳ
Ԧڌ䘀⦷аᇊ໎䟿ˈਟԕਆѪ 1 њঅս໎䟿ˈ޽൘䈕ڌ䘀⦷≤ᒣл䇑㇇ਟ䶐ᙗᤷḷˈ
⭘ᯠⲴᤷḷ߿৫৏ᶕⲴᤷḷቡਟԕᗇࡠਟ䶐ᙗᤷḷሩ䈕ݳԦڌ䘀⦷Ⲵ⚥᭿ᓖDŽ䇑㇇⍱
〻ྲമ 3-1 ᡰ⽪DŽ⭡↔ਟ⸕ˈ䇑㇇ n њഐ㍐ሩਟ䶐ᙗᤷḷⲴ⚥᭿ᓖ䴰㾱䘋㹼(n+1)⅑䇑
㇇ˈ㤕䟷⭘㋮⺞ᔪ⁑ᯩ⌅䴰൘⇿⅑䇑㇇ѻࡽ䜭ሩ᭟䐟ᮠᦞ䘋㹼ᩌ㍒ˈࡉਟ䶐ᙗ䇴ՠ઼
⚥᭿ᓖⲴ䇑㇇䗷〻ሶ㣡䍩䖳䮯Ⲵᰦ䰤ˈቔަሩབྷර༽ᵲ⭥㖁ᶕ䈤ˈ䇑㇇ᰦ䰤Պ⴨ᖃ╛
䮯DŽѪҶᨀ儈䇑㇇䙏ᓖˈṩᦞਟ䶐ᙗ䇑㇇䗷〻Ⲵ⢩⛩ˈᵜ᮷ᨀࠪа⿽޵፼ᔿ⚥᭿ᓖ䇑
㇇ᯩ⌅DŽ
޵፼ᔿ⚥᭿ᓖ࠶᷀ᯩ⌅Ⲵᙍᜣᱟ˖㤕а⅑䇑㇇⍱〻਼ᰦ䇑㇇ 9 㓴ਟ䶐ᙗᤷḷˈ䘉 9
㓴ਟ䶐ᙗᤷḷ࠶࡛Ѫ䇮༷᭵䳌⦷઼᭵䳌ᰦ䰤Ѫส⹰٬ᰦⲴᤷḷ٬ˈ㓯䐟ڌ䘀⦷໎࣐а
њঅսᰦⲴᤷḷ٬ˈ㓯䐟ڌ䘀ᰦ䰤໎࣐ањঅսᰦⲴᤷḷ٬ˈਈ঻ಘڌ䘀⦷໎࣐ањ
অսᰦⲴᤷḷ٬ˈਈ঻ಘڌ䘀ᰦ䰤໎࣐ањঅսᰦⲴᤷḷ٬ˈᯝ䐟ಘڌ䘀⦷໎࣐ањ
অսᰦⲴᤷḷ٬ˈᯝ䐟ಘڌ䘀ᰦ䰤໎࣐ањঅսᰦⲴᤷḷ٬ˈ⇽㓯ڌ䘀⦷໎࣐ањঅ
սᰦⲴᤷḷ٬ˈ⇽㓯ڌ䘀ᰦ䰤໎࣐ањঅսᰦⲴᤷḷ٬ˈࡉа⅑⍱〻䇑㇇(8+1)㓴ᤷḷ
٬ˈ߿ቁҶሩ᭟䐟ᮠᦞⲴᗚ⧟ᩌ㍒઼ࡔᯝ⅑ᮠDŽབྷབྷᨀ儈Ҷ䇑㇇䙏ᓖDŽ޵፼ᔿ⚥᭿ᓖ
࠶᷀ᯩ⌅Ⲵ䇑㇇⍱〻˖ᢺ 9 㓴ਟ䶐ᙗᤷḷⲴ䇑㇇ⴤ᧕޵፼ࡠਟ䶐ᙗ䇑㇇⍱〻ѝDŽ䙊䗷
䘉⿽޵፼ᔿⲴᮠ٬㇇⌅䘋㹼ਟ䶐ᙗ䇴ՠ઼⚥᭿ᓖ䇑㇇ˈਟབྷབྷ߿ቁ䇑㇇ᰦ䰤DŽ

35. ㅜ 2 ㄐ 䝽⭥㌫㔏৺ަਟ䶐ᙗ࠶᷀
䈫ਆ㖁㔌ᤃᢁᮠᦞ઼䇮༷᭵䳌ǃ䇑ࡂڌ䘀ᮠᦞ
࡙⭘ਟ䶐ᙗ䇴ՠ㇇⌅ᗇࠪਟ䶐ᙗᤷḷ1
ሩݳԦਟ䶐ᙗ৲ᮠi໎࣐1њঅս
࡙⭘ਟ䶐ᙗ䇴ՠ㇇⌅ᗇࠪਟ䶐ᙗᤷḷ2
ਟ䶐ᙗᤷḷ⚥᭿ᓖ=ਟ䶐ᙗᤷḷ2-ਟ䶐ᙗᤷḷ1
ਟ䶐ᙗᤷḷ⚥᭿ᓖᐢ≲䀓ᆼᡀ
21
㔃ᶏ
ᱟ
੖
മ 2.7 ਟ䶐ᙗ⚥᭿ᓖ࠶᷀ᮠ٬⌅สᵜ৏⨶
2.7 ᵜㄐሿ㔃
ᵜㄐӻ㓽Ҷ䝽⭥㌫㔏Ⲵᇊѹˈ৺й⿽н਼Ⲵ᧕㓯ᯩᔿDŽᒦሩ䝽⭥㌫㔏ਟ䶐ᙗ䇴ՠ
Ⲵᐕ֌޵ᇩ৺൘ഭ޵ཆ⭥㖁䘀㩕୶޵䜘Ⲵᓄ⭘ڊҶㆰ㾱Ⲵ᧿䘠DŽ਼ᰦ࠶㊫ӻ㓽Ҷ䝽⭥
㌫㔏Ⲵਟ䶐ᙗᤷḷˈ৺䝽⭥㌫㔏ݳԦਟ䶐ᙗ৲ᮠ৺⁑රDŽ൘ᵜㄐᴰਾˈሩ䝽⭥㌫㔏ਟ
䶐ᙗᤷḷሩݳԦਟ䶐ᙗ৲ᮠⲴ⚥᭿ᓖ৺ަ⹄ウᯩ⌅䘋㹼Ҷ䈖㓶Ⲵ࠶᷀ˈ਼ᰦᨀࠪҶа
⿽ՈॆⲴ⚥᭿ᓖᮠ٬࠶᷀ᯩ⌅DŽ

37. ㅜ 3 ㄐ 䝽⭥㌫㔏ਟ䶐ᙗ䇴ՠ㇇⌅
ㅜ 3 ㄐ 䝽⭥㌫㔏ਟ䶐ᙗ䇴ՠ㇇⌅
23
3.1 ᕅ䀰
䝽⭥㌫㔏Ⲵਟ䶐ᙗ䇴ՠᱟԕ⭥࣋㌫㔏ਟ䶐ᙗ䇴ՠᯩ⌅Ѫส⹰ˈ㔃ਸ䝽⭥㌫㔏㠚䓛
⢩⛩䘋㹼᭩ਈ㘼ᔪ・䎧ᶕⲴDŽ䝽⭥㌫㔏ਟ䶐ᙗ䇴ՠⲴสᵜᙍ䐟ᱟṩᦞ䝽⭥㌫㔏ѝݳԦ
䘀㹼Ⲵਟ䶐ᙗ৲ᮠˈ৺䝽⭥㖁ᐳ㓯㔃ᶴǃ؍ᣔॿ䈳ޣ㌫ˈᶕሩ਴䍏㦧⛩ਟ䶐ᙗᤷḷ䘋
㹼ᇊ䟿䇑㇇ˈᴰਾ㇇ࠪᮤњ䝽⭥㌫㔏Ⲵਟ䶐ᙗᤷḷDŽ
ᴰᰙⲴਟ䶐ᙗ䇴ՠᯩ⌅ᱟԕѢǃᒦ㚄㌫㔏ਟ䶐ᙗ䇑㇇Ѫส⹰˗ࡠ 1964 ᒤˈ䲿⵰ᯠ
Ⲵ䇴ՠᤷḷᨀࠪˈ䇴ՠᯩ⌅Ⲵ⹄ウҏੁࡽ䗸䘋Ҷа↕˗1970 ᒤˈRoy Billionton ਁ㺘Ҷ
ㅜа䜘ޣҾ⭥࣋㌫㔏ਟ䶐ᙗⲴу㪇lj⭥࣋㌫㔏ਟ䶐ᙗ䇴ՠNJ˄Reliability Evaluation of
Power Systems˅ˈަѝሩ⭥࣋㌫㔏ਟ䶐ᙗ䇴ՠᯩ⌅䘋㹼Ҷॱ࠶䈖㓶ǃ㌫㔏Ⲵ⹄ウ઼ᾲ䘠DŽ
䘁ࠐᒤˈ䝽⭥㌫㔏Ⲵਟ䶐ᙗ䇴ՠਁኅॱ࠶䗵䙏ˈྲօሩ⧠ᴹਟ䶐ᙗ䇴ՠᯩ⌅䘋㹼᭩䘋
઼Ոॆˈ֯ѻᴤᘛ䙏ǃᴹ᭸ൠᆼᡀਟ䶐ᙗ䇴ՠᐕ֌䙀⑀ᡀѪ⹄ウⲴ❖⛩DŽⴞࡽѫ㾱Ⲵ
䝽⭥㌫㔏ਟ䶐ᙗ⹄ウ㇇⌅वᤜ䀓᷀⌅઼⁑ᤏ⌅DŽ
⎧к仾⭥൪Ⲵ仾࣋ਁ⭥ᵪ㓴ᧂᐳа㡜⭡⎧䶒⧟ຳǃ仾㜭⢩ᙗǃ⎧ᓅൠ䍘⢩⛩ㅹ⺞
ᇊˈ㘼䘎᧕仾࣋ਁ⭥ᵪ㓴Ⲵѝ঻⭥㔶Ⲵᧂᐳᯩᔿཊ⿽ཊṧˈ仾⭥൪䟷⭘н਼Ⲵ䘎᧕ᯩ
Ṹˈަਁ⭥ᡀᵜǃ
3.2 䀓᷀㇇⌅
䀓᷀⌅[18,19]˄Analysis Method˅Ⲵสᵜᙍᜣᱟ࡙⭘㌫㔏Ⲵ࣏㜭઼㔃ᶴ৺ݳԦⲴ䲿ᵪ
৲ᮠˈ࣐кє㘵ѻ䰤Ⲵ䙫䗁ޣ㌫ˈᔪ・䎧䝽⭥㌫㔏Ⲵਟ䶐ᙗᮠᆖᾲ⦷⁑රˈ޽䙊䗷ᮠ
٬䇑㇇ᯩ⌅㧧ᗇ⭘ᡧ઼㌫㔏Ⲵ਴亩ਟ䶐ᙗᤷḷˈ䀓᷀⌅Ⲵส⹰ᱟሩ㌫㔏઼ݳԦ䘋㹼㋮
⺞Ⲵᮠᆖᔪ⁑ˈ⭡Ҿབྷ䜘࠶㌫㔏䜭ਟԕ䖜ᦒѪᮠᆖ⁑රˈഐ↔䀓᷀⌅൘⭥࣋㌫㔏ਟ䶐
ᙗ䇴ՠ䖟Ԧѝᓄ⭘ᒯ⌋ˈᐢ㓿ᡀѪਁኅ⴨ᖃᡀ⟏Ⲵа⿽ਟ䶐ᙗ䇴ՠ㇇⌅DŽ䀓᷀⌅а㡜
⭘Ҿ䇑㇇䍏㦧ח઼㌫㔏חਟ䶐ᙗᤷḷⲴᵏᵋ٬ˈնᰐ⌅ሩᤷḷⲴਈॆ〻ᓖ䘋㹼᧿䘠DŽ
⭡Ҿ䀓᷀⌅䟷⭘ⲴᱟѕṬⲴᮠᆖ᡻⇥ˈަ䇑㇇㔃᷌㋮⺞ᓖ઼ਟؑᓖ䜭ᖸ儈ˈն儈ਟؑ
ᓖⲴᡀᵜᱟ䇑㇇䟿Ⲵ໎བྷˈ䲿⵰㌫㔏㿴⁑໎བྷ઼ݳԦᮠ䟿Ⲵ໎ཊˈ䀓᷀⌅Ⲵ䇑㇇䟿ᡀ
ᤷᮠර໎䮯DŽഐ↔Ր㔏Ⲵ䀓᷀⌅ਚᴹ൘㌫㔏㿴⁑ᴹ䲀ǃ᭵䳌㊫ර䖳ቁⲴᛵߥлˈ᡽㜭

38. к⎧⭥࣋ᆖ䲒⺅༛ᆖս䇪᮷
ਁᥕަ⁑ර㋮⺞ǃ䇑㇇㔃᷌ਟؑᓖ儈ⲴՈ࣯DŽն൘ਟ䶐ᙗ࠶᷀ᢰᵟᰕ⳺ᡀ⟏ⲴӺཙˈ
ᐢ㓿ᴹ䇨ཊᆖ㘵ᨀࠪҶаӋ᭩䘋Ⲵ䀓᷀㇇⌅ˈᰘ൘؍⮉䇑㇇㋮ᓖⲴส⹰кˈ߿ቁ䇑㇇
䟿ˈᨀ儈䇑㇇䙏ᓖDŽⴞࡽᑨ⭘Ⲵࠐ⿽䀓᷀㇇⌅ᴹ᭵䳌⁑ᔿ৺ਾ᷌࠶᷀⌅ǃ㖁㔌ㅹ٬⌅ǃ
ᴰሿ䐟㇇⌅ㅹ[20]DŽ
3.2.1 ᭵䳌⁑ᔿ৺ਾ᷌࠶᷀⌅˄Failure Mode and Effect Analysis Method,
24
FMEA˅
᭵䳌⁑ᔿ৺ਾ᷌࠶᷀⌅ⲴสᵜᙍᜣᱟṩᦞݳԦਟ䶐ᙗᮠᦞˈݸሩ㌫㔏ѝݳԦ⣦ᘱ
䘋㹼ᩌ㍒ˈ᢮ࠪᡰᴹਟ㜭᭵䳌⁑ᔿˈवᤜ᭵䳌ݳԦᡆ᭵䳌ݳԦ㓴ਸˈ⺞ᇊ䍏㦧ڌ⭥һ
Ԧˈ⭏ᡀवਜ਼᭵䳌⁑ᔿ৺ަᖡ૽ᮠᦞⲴ᭵䳌࠶᷀ᣕ㺘ˈṩᦞ䍏㦧⛩Ⲵ᭵䳌䳶ਸӾѝᨀ
ਆ⴨ᓄ᭵䳌ਾ᷌ˈӾ㘼ሩ䍏㦧⛩ਟ䶐ᙗᤷḷ䘋㹼䇑㇇ˈ䘋㘼ᗇࡠ㌫㔏ਟ䶐ᙗᤷḷDŽ䈕
㇇⌅৏⨶ㆰঅǃ⁑ර㋮⺞ˈ䘲⭘Ҿሩ䗀ሴᖒ䝽⭥㌫㔏䘋㹼ਟ䶐ᙗ䇴ՠ࠶᷀DŽ❦㘼аᰖ
㖁㔌㔃ᶴ༽ᵲǃݳԦᮠ䟿໎ཊˈަ䇑㇇䟿ҏՊབྷᑵ໎࣐ˈഐ↔н䘲⭘Ҿབྷර䝽⭥㌫㔏
Ⲵਟ䶐ᙗ䇴ՠ࠶᷀DŽ
᭵䳌⁑ᔿ৺ਾ᷌࠶᷀⌅ᱟ䇨ཊަԆਟ䶐ᙗ㇇⌅Ⲵส⹰ˈԕ FMEA Ѫส⹰Ⲵ䝽⭥㌫
㔏ਟ䶐ᙗ䇴ՠⲴสᵜ↕僔ᱟݸሩ㌫㔏Ⲵ亴ᜣһ᭵䘋㹼䘹ᤙˈণ䍏㦧⛩ڌ⭥һԦˈ❦ਾ
ሩ਴亴ᜣ᭵䳌ᰦ䰤䘋㹼▞⍱䇑㇇ˈᔪ・೺ᤜ亴ᜣһ᭵৺ަᖡ૽Ⲵ᭵䳌࠶᷀ᣕ㺘ˈᒦӾ
ѝᨀਆ䍏㦧᭵䳌䳶ሩᓄⲴਾ᷌ˈӾ㘼䇑㇇䍏㦧⛩ਟ䶐ᙗᤷḷᮠ٬ˈᒦ⭡↔䇑㇇ࠪ㌫㔏
Ⲵਟ䶐ᙗᤷḷDŽަѝ䍏㦧⛩᭵䳌һԦѫ㾱वᤜ[22]˖
1˅ޘ䜘ཡ৫䘎㔝ᙗһԦ˄Total Loss of Continuity, TLOC˅ˈ৸〠㔃ᶴᙗཡ᭸ˈᤷⲴ
ᱟᖃᡰᴹ⭥Ⓚ⛩ࡠ䈕䍏㦧⛩ѻ䰤Ⲵ䙊䐟ޘ䜘ᯝᔰᰦˈ䈕䍏㦧⛩ޘ䜘ڌ⭥ˈ㾱⺞ᇊሬ㠤
㔃ᶴᙗཡ᭸һԦⲴڌ䘀㓴ਸ䴰㾱᢮ࠪ䝽⭥㖁Ⲵᴰሿࢢ䳶˗
2˅䜘࠶ཡ৫䘎㔝ᙗһԦ˄Partial Loss of Continuity, PLOC˅ˈ৸〠࣏㜭ᙗཡ᭸ˈᤷ
ⲴᱟᖃḀڌ䘀һԦᕅ䎧㌫㔏ݳԦ䗷䍏㦧ᡆ㌫㔏⭥঻䎺㓯ˈ䴰㾱䙊䗷⭙䍏㦧ᶕ⎸䲔᭵䳌DŽ
3.2.2 ᭵䳌ᢙᮓ⌅˄Fault Spreading Method˅
᭵䳌ᢙᮓ⌅ᱟԕ᭵䳌ਾ᷌࠶᷀⌅Ѫส⹰䘋㹼᭩䘋ᗇࡠⲴа⿽Ոॆ㇇⌅ˈṩᦞ䝽⭥
㌫㔏᧕㓯ᯩᔿˈሶݳԦ᭵䳌ᢙᮓ㠣㓯䐟ᵛㄟᡆ䳄⿫ᔰޣ༴ˈᖒᡀ࠶ඇᆀ㌫㔏ˈ޽ࡔᯝ
㢲⛩ᱟ੖о࠷ᦒᔰޣᡆ⭥Ⓚ⴨䘎ˈሶ㢲⛩࠶ᡀ 4 ㊫ˈᴰਾ࠶㊫䇑㇇਴㢲⛩ѝ䍏㦧⛩ਟ
䶐ᙗᤷḷᮠ٬DŽՐ㔏Ⲵ᭵䳌ᢙᮓ㇇⌅⍱〻മྲമ 3.1 ᡰ⽪DŽ᭵䳌ᢙᮓ⌅ⲴՈ⛩ᱟਟԕሩ
䍏㦧⛩઼㌫㔏ਟ䶐ᙗᤷḷ䘋㹼㔏а䇑㇇ˈሩᑖᆀ侸㓯Ⲵ䝽⭥㌫㔏༴⨶㜭࣋䖳ᕪ˗❦㘼
᭵䳌ᢙᮓ⌅о᭵䳌ਾ᷌࠶᷀⌅⴨਼ˈ༴⨶བྷ㿴⁑䝽⭥㌫㔏䙏ᓖ䖳ធDŽ
᮷⥞[23]ᨀࠪҶа⿽ԕᴰሿ䐟㇇⌅Ѫส⹰Ⲵ᭵䳌ᢙᮓ⌅ˈབྷབྷᨀ儈Ҷ䝽⭥㖁㢲⛩࠶

39. ㅜ 3 ㄐ 䝽⭥㌫㔏ਟ䶐ᙗ䇴ՠ㇇⌅
㊫᭸⦷ˈӾ㘼ᨀ儈Ҷ䘀㇇䙏ᓖDŽ᮷⥞[24]ሶՐ㔏᭵䳌䙽শ㇇⌅оᴰሿ䳄⿫ඇⲴᾲᘥ㔃ਸˈ
䙊䗷䱽վݳԦ᷊Ѯᮠ䟿ˈᨀ儈Ҷਟ䶐ᙗᤷḷⲴ䘀㇇䙏ᓖDŽ
᭵䳌һԦ᷊Ѯ
ᩌ㍒ᯝ䐟ಘ
ࡔᯝ䳄⿫ᔰޣࣘ֌
⺞ᇊ࠶ඇᆀ㌫㔏
ᆀ㌫㔏ᱟ੖о⭥Ⓚ⴨䘎
Y N
25
B㊫㢲⛩
ᆀ㌫㔏ᱟ੖о࠷ᦒᔰޣ⴨䘎
Y
C㊫㢲⛩
N
D㊫㢲⛩
മ 3.1 ᭵䳌ᢙᮓṨᗳ㇇⌅⍱〻മ
3.2.3 㖁㔌ㅹ٬⌅˄Network-Equivalent Method˅
㖁㔌ㅹ٬⌅[25,26]Ⲵสᵜᙍᜣᱟ䙊䗷㖁㔌ㅹ٬䗷〻ˈݸሶ༽ᵲⲴ䝽⭥㖁㔃ᶴ䖜ॆѪ
ㅹ᭸ⲴㆰঅⲴнᑖᆀ侸㓯Ⲵ䗀ሴ⣦䝽⭥㖁ˈ޽࡙⭘᭵䳌⁑ᔿ৺ਾ᷌࠶᷀⌅ሩㆰॆਾⲴ
䗀ሴ㖁㔌䘋㹼ਟ䶐ᙗᤷḷ䇑㇇˗㖁㔌ㅹ٬Ⲵ䗷〻ቡᱟሶѫ㓯䐟кⲴᆀ侸㓯䖜ॆѪㅹ᭸
Ⲵ㓯䐟઼䍏㦧ˈ䙀㓗ੁкˈⴤࡠ㓯䐟нᑖ侸㓯Ѫ→DŽ㖁㔌ㅹ٬⌅ᕕ㺕ҶՐ㔏᭵䳌⁑ᔿ
৺ਾ᷌࠶᷀⌅ሩ༽ᵲ䝽⭥㖁䇑㇇䟿བྷǃ䇑㇇䙏ᓖ㕃ធⲴ䰞仈ˈᑨ⭘Ҿ䀓ߣབྷ㿴⁑䝽⭥
㌫㔏Ⲵਟ䶐ᙗ䇑㇇䰞仈˗ն㖁㔌ㅹ٬⌅ਚ㜭ᗇࡠㅹ᭸ਾ㌫㔏Ⲵ䍏㦧⛩ਟ䶐ᙗᤷḷˈ㤕
㾱䇑㇇৏㌫㔏਴䍏㦧⛩ਟ䶐ᙗᤷḷ䘈䴰㾱䘋㹼㠚к㘼лⲴㅹ᭸ˈ䇑㇇䟿䰞仈ӽ⋑ᴹṩ
ᵜ䀓ߣDŽ

40. к⎧⭥࣋ᆖ䲒⺅༛ᆖս䇪᮷
3.2.4 䍍ਦᯟ㖁㔌˄Bayesian Networks, BN˅㇇⌅
䍍ਦᯟ㖁㔌[27]ᱟањᴹੁᰐ⧟മ˄Directed Acyclic Graph, DAG˅ˈ൘䈕ᴹੁᰐ⧟മ
ѝˈ㢲⛩㺘⽪Ⲵᱟ䲿ᵪਈ䟿ˈ㢲⛩䰤Ⲵᕗ㺘⽪Ⲵᱟᖡ૽ᾲ⦷ˈ㘼䲿ᵪਈ䟿ѻ䰤Ⲵഐ᷌
ޣ㌫ࡉ⭡є㢲⛩ѻ䰤ᕗⲴᯩੁ㺘⽪˗䍍ਦᯟ㖁㔌ᔪ・൘䲿ᵪਈ䟿⴨ӂѻ䰤ᾲ⦷㓖ᶏⲴ
ส⹰кˈ㢲⛩ѻ䰤ާᴹᶑԦ⤜・ᙗDŽ൘ᐢ⸕䍍ਦᯟ㖁㔌Ⲵањ㢲⛩ᆀ䳶Ⲵᛵߥлˈ䇑
㇇ਖа㢲⛩ᆀ䳶ⲴᶑԦᾲ⦷࠶ᐳⲴ䗷〻〠Ѫ䍍ਦᯟ㖁㔌Ⲵ᧘⨶DŽ䍍ਦᯟ㖁㔌᧘⨶ᖒᔿ
वᤜഐ᷌᧘⨶ǃ䇺ᯝ᧘⨶ǃ䗙䀓᧘⨶৺वਜ਼ࡽй⿽᧘⨶ᖒᔿⲴ␧ਸ᧘⨶˖
˄1˅ഐ᷌᧘⨶ˈ৸〠ࡽੁ᧘⨶ˈ亮਽ᙍѹᱟ⋯⵰ᕗⲴᯩੁ䘋㹼᧘⨶ˈᱟ൘ᐢ⸕Ḁ
а⿽ᡆࠐ⿽৏ഐਁ⭏Ⲵᛵߥлˈ≲ަ㔃᷌ࠪ⧠Ⲵᾲ⦷˗
˄2˅䇺ᯝ᧘⨶ˈ৸〠ਾੁ᧘⨶ˈ亮਽ᙍѹᱟ⋯⵰ᕗⲴᯩੁ䘋㹼৽ੁ᧘⨶ˈᱟ൘ᐢ
⸕㔃᷌ᐢਁ⭏Ⲵᛵߥлˈ᧘ሬ䈡ਁ䈕ਾ᷌ࠪ⧠ⲴḀ⿽৏ഐਁ⭏Ⲵᾲ⦷˗
˄3˅䗙䀓᧘⨶ˈᤷ൘ᐢ⸕Ḁ㔃᷌ਁ⭏਼ᰦਟᧂ䲔䜘࠶䈡ਁ৏ഐⲴᛵߥ⣲лˈ᧘ሬ
26
ަ։৏ഐਁ⭏Ⲵᾲ⦷˗
䍍ਦᯟ㖁㔌⨶䇪㻛ᒯ⌋ᓄ⭘൘ྲ㓿⍾ᆖǃ㇑⨶ᆖǃ५ᆖㅹᆖ、ѝˈ⭡Ҿ䍍ਦᯟ㖁
㔌ᱟањᆼᮤⲴ㌫㔏ᾲ⦷⁑රˈഐ↔ਟԕ⭘ᶕ䇑㇇ᾲ⦷ᤷḷˈ䘋㘼ሩ⭥࣋㌫㔏ਟ䶐ᙗ
ᤷḷ䘋㹼䇑㇇DŽ࡙⭘䍍ਦᯟ㖁㔌Ⲵഐ᷌᧘⨶䘈ਟԕሩ㌫㔏ѝݳԦሩ䝽⭥㌫㔏ਟ䶐ᙗᤷ
ḷⲴᖡ૽བྷሿ䘋㹼䇑㇇ˈਟԕሩ䝽⭥㌫㔏Ⲵ䟽ᔪ઼᭩䙐䎧ࡠᤷሬᙗⲴ֌⭘DŽ
3.2.5 ᴰሿ䐟㇇⌅˄Minimal Path Method˅
ᴰሿ䐟㇇⌅ѝⲴᴰሿ䐟ᤷⲴᱟ⇿ањ䍏㦧⛩ࡠሩᓄ⭥Ⓚ⛩Ⲵᴰሿ䐟ᖴˈ䙊䗷ሩᴰ
ሿ䐟ᖴⲴ≲ਆˈሶᮤњ㌫㔏ݳԦ࠶Ѫᴰሿ䐟кݳԦ઼䶎ᴰሿ䐟кݳԦє㊫ˈṩᦞ⭥㖁
㔃ᶴ৺㌫㔏ݳԦᇎ䱵ᛵߥˈሶ䶎ᴰሿ䐟кⲴݳԦਟ䶐ᙗ৲ᮠሩ䍏㦧⛩ਟ䶐ᙗᤷḷⲴᖡ
૽ᣈ㇇ࡠ⴨ሩᓄⲴᴰሿ䐟㢲⛩кˈᴰਾሩᴰሿ䐟кݳԦ઼ㅹ᭸㢲⛩䘋㹼䇑㇇ণਟᗇࡠ
䈕䍏㦧⛩ਟ䶐ᙗᤷḷDŽᴰሿ䐟㇇⌅䴰㾱ާփ㘳㲁䝽⭥㌫㔏Ⲵᇎ䱵ᛵߥˈवᤜ䳄⿫ᔰޣǃ
䍏㦧ᔰޣǃ࠶᭟㓯؍ᣔǃ䇑ࡂỰ؞৺༷⭘⭥Ⓚㅹ[28-30]˗ᴰሿ䐟㇇⌅о᭵䳌⁑ᔿ৺ਾ᷌
࠶᷀⌅⴨∄䇑㇇᭸⦷ᴹᖸབྷⲴ᭩ழˈᒦфਟԕ㔃ਸ㌫㔏Ⲵᇎ䱵ᛵߥˈ᢮ࠪ䝽⭥㌫㔏Ⲵ
㮴ᕡ⧟㢲DŽնᖃᓄ⭘Ҿ༽ᵲⲴ䝽⭥㌫㔏Ⲵਟ䶐ᙗᤷḷ䇑㇇ᰦˈ≲ਆ਴䍏㦧⛩ࡠ⭥ⓀⲴ
ᴰሿ䐟ᐕ֌䟿ᖸབྷˈᖸ䳮ሩ䝽⭥㌫㔏ਟ䶐ᙗ䘋㹼ᘛ䙏Ⲵ䇴ՠDŽ
3.3 㫉⢩঑⍋˄Monte Carlo˅⁑ᤏ⌅
⁑ᤏ⌅ᱟ䙊䗷ሩ㌫㔏ѝ⇿њݳԦⲴ൘ަሯભઘᵏ޵Ⲵᇎ䱵ᛵߥ䘋㹼⁑ᤏˈᒦሩ䈕
䗷〻䘋㹼㿲ሏˈᶕ≲ਆ䈕㌫㔏Ⲵਟ䶐ᙗ䇴ՠᤷḷDŽ⁑ᤏ⌅䙊ᑨ⭘Ҿሩ༽ᵲ䝽⭥㌫㔏ਟ

41. ㅜ 3 ㄐ 䝽⭥㌫㔏ਟ䶐ᙗ䇴ՠ㇇⌅
䶐ᙗ䘋㹼䇑㇇ˈն䈕ᯩ⌅䙊ᑨ䇑㇇䙏ᓖធˈ㘼ф䇑㇇㔃᷌нཏ㋮⺞DŽ
㫉⢩঑⍋⁑ᤏ⌅[32]Ⲵสᵜᙍᜣᱟሶ㌫㔏ѝ਴ݳԦⲴਟ䶐ᙗᾲ⦷৲ᮠ൘䇑㇇ᵪк⭘
аӋ䲿ᵪᮠ㺘⽪ˈ䙊䗷൘䇑㇇ᵪк⁑ᤏ㌫㔏Ⲵᇎ䱵ᐕ֌ᛵߥˈᒦ䘋㹼㤕ᒢᰦ䰤Ⲵ㿲ሏˈ
ᶕሩᡰ㾱≲Ⲵᤷḷ䘋㹼ՠ㇇ˈ൘࡙⭘㫉⢩঑⍋⌅ሩ䝽⭥㌫㔏ਟ䶐ᙗ䘋㹼䇑㇇ᰦˈ俆ݸ
䴰㾱᢮ࡠ᭵䳌ݳԦ৺ਇަᖡ૽Ⲵᡰᴹ䍏㦧⛩ˈᖒᡀ䍏㦧⛩Ⲵ䘀㹼/ᚒ༽Ⲵᮠᦞ㺘ˈ䙊䗷
ሩশਢᮠᦞⲴ䟷ṧǃ࠶᷀ˈׯਟ䇑㇇ࠪਟ䶐ᙗᤷḷDŽ㫉⢩঑⍋⌅኎Ҿ㔏䇑䈅傼ᯩ⌅ˈ
⴨ሩ䀓᷀⌅ᶕ䈤ᴤ࣐ⴤ㿲˗㘼ф㫉⢩঑⍋⌅Ⲵ䟷ṧ⅑ᮠн䲿㌫㔏㿴⁑Ⲵ໎࣐㘼໎ཊˈ
ᡰԕа㡜൘བྷර䝽⭥㌫㔏Ⲵਟ䶐ᙗ䇴ՠкᓄ⭘䖳ཊ˗ն㫉⢩঑⍋⌅Ⲵ䇑㇇㋮ᓖо䇑㇇
ᰦ䰤ᡀ↓∄ˈ㤕䴰㧧ᗇ㋮ᓖ䖳儈Ⲵਟ䶐ᙗᤷḷᖰᖰ䴰㣡䍩ᖸ䮯Ⲵ䘀㇇ᰦ䰤DŽ
3.4 ӪᐕᲪ㜭˄Artificial Intelligence, AI˅㇇⌅
1956 ᒤˈJohn McCarthy ㅹӪ൘ Dartmouth Պ䇞кᨀࠪҶӪᐕᲪ㜭㇇⌅Ⲵᾲᘥˈ㓿
䗷ཊᒤⲴ⹄ウˈӪᐕᲪ㜭㇇⌅ᐢ㓿ᓄ⭘Ҿཊ⿽亶ฏDŽӪᐕᲪ㜭㇇⌅䙊䗷⁑ᤏ⭏⢙༴⨶
⁑ᔿˈᲪ㜭ൠሩؑ᚟䘋㹼༴⨶ˈׯҾㆰॆаӋ༽ᵲ䰞仈ˈᴤ࣐ᴹ᭸ൠ䀓ߣ਴⿽䳮仈DŽ
3.4.1 Ӫᐕ⾎㓿㖁㔌˄Artificial Neural Network, ANN˅㇇⌅
Ӫᐕ⾎㓿㖁㔌ᱟ䙊䗷䇑㇇ᵪ⁑ᤏӪ㝁㔃ᶴ઼Ӫ㊫Ⲵ䇔⸕䗷〻ᶕ䘋㹼ؑ᚟༴⨶Ⲵа
⿽㇇⌅ˈवᤜйቲՐ䙂㖁㔌ˈ࠶࡛Ѫ˖䗃ޕቲǃ 䳀㯿ቲ઼䗃ࠪቲ[33]ˈ䗃ޕቲ⭘Ҿ৏࿻
ᮠᦞⲴሬޕ˗䗃ࠪቲ⭘Ҿᇎ䱵٬Ⲵ䗃ࠪ˗䳀㯿ቲ⭘Ҿ䘎᧕䗃ޕቲ઼䗃ࠪቲˈ֯ѻᔪ・
䎧ཊ⿽࠭ᮠޣ㌫ˈ⭘Ӫᐕ⾎㓿㖁㔌ሩ䝽⭥㌫㔏ਟ䶐ᙗ䘋㹼䇴ՠⲴ䗷〻वᤜ˖
˄1˅ੁ㢲⛩䰸٬৺ᵳ䟽䍻ањ䲿ᵪ٬ˈ䙊ᑨਆањᖸሿⲴᮠ٬˗
˄2˅⺞ᇊ䗃ޕᮠᦞˈ৺亴ᵏⲴ䗃ࠪᮠ٬˗
˄3˅㇇⌅䙊䗷৽ੁՐ᫝ˈሶ䗃ࠪቲ䗃ࠪⲴᇎ䱵٬֌⭘Ҿ䳀㯿ቲˈ਼ᰦሩ㢲⛩䰤Ⲵ
27
ޘѝ䘋㹼䈳ᮤˈⴤ㠣᭦ᮋ˗
˄4˅㇇ࠪਟ䶐ᙗᤷḷᮠ٬ˈ㇇⌅㔃ᶏDŽ
Ӫᐕ⾎㓿㖁㔌㇇⌅ⲴՈ⛩ᱟ䇑㇇㔃᷌㋮⺞ᓖᖸ儈ˈ਼ᰦ䘈ਟԕሩ⭥㖁ѝаӋ༽ᵲ
᭵䳌䰞仈䘋㹼༴⨶˗ն䈕㇇⌅ሩ⭥㖁䘀㹼শਢᮠᦞ㾱≲ᖸ儈ˈ㘼ф㇇⌅䇮䇑ഠ䳮ˈӽ
䴰֌䘋а↕Ⲵᆼழ઼⹄ウDŽ
3.4.2 ⁑㋺㇇⌅˄Fuzzy Method˅
᮷⥞[28]ᨀࠪҶሶ⁑㋺⨶䇪ᕅޕࡠ䝽⭥㌫㔏ਟ䶐ᙗ䇴ՠѝⲴа⿽ᯩ⌅ˈ⭡Ҿ⭥㖁䘀
㹼৺䍏㦧⣦ᘱާᴹᖸᕪⲴ䲿ᵪᙗˈ䈕ᯩ⌅࡙⭘ᾲ⦷㔏䇑⨶䇪ᶕ䘋㹼༴⨶ˈ⭘⁑㋺䳶ਸ

42. к⎧⭥࣋ᆖ䲒⺅༛ᆖս䇪᮷
ᶕሩ⭥㖁ѝаӋн⺞ᇊᮠ٬䘋㹼᧿䘠ˈ਼ᰦ䇑㇇ࠪ⭥㖁Ⲵ⁑㋺ਟ䶐ᙗᤷḷDŽ⁑㋺㇇⌅
ᖸྭⲴൠ༴⨶Ҷ൘⭥㖁䘀㹼䗷〻ѝݳԦਟ⭘ᙗㅹഐ㍐Ⲵн⺞ᇊᙗˈྲ᮷⥞[29]ሩݳԦⲴ
᭵䳌⦷৺᭵䳌؞༽ᰦ䰤׍ᦞަ⢩⛩䘋㹼Ҷ⁑㋺ਟ䶐ᙗᔪ⁑ˈ㘼фᕅޕҶ৫⁑㋺ᢰᵟ˗
᮷⥞[36]䪸ሩ䗃ޕᮠᦞн⺞ᇊⲴᛵߥᨀࠪҶа⿽н⺞ᇊᮠᦞ४䰤࠶᷀ᯩ⌅DŽ
28
3.5 ᵜㄐሿ㔃
ᵜㄐѫ㾱ሩ䝽⭥㌫㔏ਟ䶐ᙗ䇴ՠⲴ਴⿽ᯩ⌅䘋㹼Ҷ䈖㓶Ⲵ࠶᷀ˈᒦሩަ਴㠚Ⲵ⢩
⛩ǃ䘀㇇䗷〻䘋㹼Ҷ᧿䘠ˈⴞࡽᐕ〻кᑨ⭘Ⲵ䝽⭥㌫㔏䇴ՠᯩ⌅ਟԕ࠶Ѫєབྷ㊫ˈ⁑
ᤏ⌅઼䀓᷀⌅DŽ㫉⢩঑⍋⁑ᤏ⌅ᱟа⿽ިරⲴ⁑ᤏ㇇⌅ˈ䝽⭥㌫㔏㿴⁑ሩ䈕㇇⌅䘀㇇
䟿ᖡ૽䖳ሿˈഐ↔∄䖳䘲⭘ҾሩབྷරⲴ䝽⭥㌫㔏䘋㹼࠶᷀˗䀓᷀⌅वᤜ᭵䳌⁑ᔿ৺ਾ
᷌࠶᷀⌅ǃ㖁㔌ㅹ٬⌅ǃ᭵䳌ᢙᮓ⌅ǃᴰሿ䐟⌅৺䍍ਦᯟ㖁㔌⌅ㅹˈа㡜Ⲵ䀓᷀㇇⌅
䜭ᱟԕݳԦਟ䶐ᙗ⁑රѪส⹰ˈഐ↔ަ䇑㇇䟿Պ䲿⵰㌫㔏Ⲵ༽ᵲ〻ᓖ㘼བྷᑵ໎࣐ˈն
⭡Ҿަ䇑㇇㔃᷌㋮ᓖᖸ儈ˈᡰԕ൘ㆰঅⲴ䝽⭥㌫㔏ਟ䶐ᙗ䇴ՠѝᓄ⭘ᒯ⌋DŽ

43. ㅜ 4 ㄐ สҾ䘚、ᯟᖫ㇇⌅Ⲵᴰሿ䐟㇇⌅
ㅜ 4 ㄐ สҾ䘚、ᯟᖫ㇇⌅Ⲵᴰሿ䐟㇇⌅
29
4.1 മⲴ㇇⌅
4.1.1 മⲴสᵜᾲᘥ
മ˄Graph, G˅⭡㢲⛩Ⲵ䳶ਸ V ઼䗩Ⲵ䳶ਸ E ᶴᡀˈণ[31]
G=(V, E) (4.1)
ަѝ䗩Ⲵ䳶ਸ E Ⲵݳ㍐ᱟањҼݳ㓴ᮠሩˈ⭘˄vi, vj˅㺘⽪ˈަѝ vi, vjVˈѪമ
ѝⲴ㢲⛩ˈ˄vi, vj˅ࡉ㺘⽪䘉єњ㢲⛩ѻ䰤Ⲵ䘎㓯DŽ
㤕㔉മⲴ⇿ᶑ䗩㿴ᇊањᯩੁˈᗇࡠⲴമѪᴹੁമˈަ䗩ࡉ〠Ѫᴹੁ䗩˄ᡆᕗ˅ˈ
ѪҶоᰐੁമѝⲴ䗩४࠶ᔰᶕˈᴹੁമѝⲴ䗩䙊ᑨ䇠Ѫvi, vjˈަѝᕗⲴ࿻⛩ vi Ѫᕗ
ཤˈ㓸⛩ vj ѪᕗቮDŽ
л䶒ሩമ䇪ѝⲴаӋสᵜᵟ䈝䘋㹼ㆰঅⲴӻ㓽[38]˖
˄1˅ᵳ˄Weight, W˅˖മѝ⇿аᶑ䗩кḷᴹⲴާᴹḀ⿽ਜ਼ѹⲴᮠ٬ˈᡀѪ䈕ᶑ䗩
Ⲵᵳˈw(u, v)ѪӾ㢲⛩ u ࡠ㢲⛩ v Ⲵ䶎䍏ᵳ䟽˄weight˅DŽ
˄2˅䐟ᖴ˄Path, P˅˖⭘ᒿࡇ P(u, v)={v0ˈe1ˈv1ˈe2ˈv2ˈ…ekˈvk}㺘⽪Ӿ㢲⛩ u
ࡠ㢲⛩ v Ⲵаᶑ䐟ᖴˈᒿࡇѝ䗩 ei Ⲵ䎧⛩઼㓸⛩࠶࡛Ѫ vi-1 ઼ vi˗k Ѫ䐟ᖴⲴ䮯ᓖ˗v0=uˈ
〠Ѫ䐟ᖴⲴ䎧⛩˗vk=vˈѪ䐟ᖴⲴ㓸⛩DŽྲ᷌ v1ˈ…ˈvk єєнㅹˈࡉ䈕䐟ᖴ〠Ѫㆰ
অ䐟ᖴ˄Simple Path˅DŽ
˄3˅㹼䘩˄Track, T˅˖ྲ᷌Ӿ㢲⛩ u ࡠ㢲⛩ v Ⲵ䐟ᖴ P(u, v)ѝⲴ䗩ӂн䟽༽ˈࡉ
〠䈕䐟ᖴ P Ѫ u ࡠ v Ⲵаᶑ㹼䘩DŽ
䛫᧕⸙䱥ᱟ㺘⽪ањമⲴᑨ⭘ᆈۘᯩᔿˈᆳሶᮠᦞݳ㍐˄㢲⛩˅Ⲵؑ᚟઼ᮠᦞݳ
㍐ѻ䰤ޣ㌫˄䗩ᡆᕗ˅Ⲵؑ᚟࠶࡛ᆈۘ൘єњᮠ㓴ѻѝ[39]DŽ

44. к⎧⭥࣋ᆖ䲒⺅༛ᆖս䇪᮷
3 4
30
2
5
1
6
മ 4.1 മⲴ⽪᜿
ྲമ 4.2 ᡰ⽪Ⲵമˈਟԕ⭘лࡇޣ㚄⸙䱥 A ᶕ䘋㹼㺘⽪˖
1 1 0 0 1 0
1 0 1 0 1 0
0 1 0 1 0 0
=
0 0 1 0 1 1
1 1 0 1 0 0
0 0 0 1 0 0
A
§ ·
¨ ¸
¨ ¸
¨ ¸
¨ ¸
¨ ¸
¨ ¸
¨¨ ¸¸
© ¹
⸙䱥ѝݳ㍐ aij=0 㺘⽪㢲⛩ i о j ѻ䰤⋑ᴹ䘎᧕ˈ৽ѻሩᓄݳ㍐ࡉѪ 1.
4.1.2 മⲴ䙽শᯩ⌅
മⲴ䙽শ⌅वᤜ␡ᓖՈݸᩌ㍒⌅˄Depth-First Search, DFS˅઼ᒯᓖ˄ᇭᓖ˅Ոݸ
ᩌ㍒⌅˄Bredth-First Search, BFS˅DŽ
˄1˅␡ᓖՈݸᩌ㍒⌅Ⲵสᵜᙍᜣᱟݸሩമ G ѝⲴḀњ㢲⛩ vi 䘋㹼䇯䰞ˈ❦ਾሩо
vi ⴨䛫㘼фᵚ㻛䇯䰞䗷ⲴḀа㢲⛩ vj 䘋㹼䇯䰞ˈ޽Ӿ vj оѻ⴨䛫㘼фᵚ㻛䇯䰞䗷Ⲵ㢲
⛩ vk 䘋㹼䇯䰞ˈ׍⅑䘋㹼DŽᖃᖃࡽ㻛䇯䰞䗷Ⲵ㢲⛩Ⲵᡰᴹ⴨䛫㢲⛩䜭ᐢ㓿㻛䇯䰞䗷ᰦˈ
䘰എࡠᐢ㻛䇯䰞䗷Ⲵ㢲⛩ᒿࡇѝⲴᴰਾањѝᴹᵚ㻛䇯䰞Ⲵ⴨䛫㢲⛩Ⲵ㢲⛩ wˈӾ w
ࠪਁ਼᤹ṧⲴᯩ⌅ੁࡽ䙽শˈⴤࡠമѝᡰᴹ㢲⛩䜭㻛䇯䰞[40]DŽ
˄2˅ᒯᓖՈݸᩌ㍒⌅Ⲵสᵜᙍᜣᱟݸ䇯䰞ࡍ࿻⛩ viˈᒦሶަḷ䇠Ѫᐢ䇯䰞ˈ㔗㔝
䇯䰞 vi Ⲵᡰᴹᵚ㻛䇯䰞䗷Ⲵ⴨䛫㢲⛩ vi1ˈvi2,ˈ…ˈvitˈᒦሶ䘉Ӌ㢲⛩൷ḷ䇠Ѫᐢ䇯䰞ˈ
޽᤹➗ vi1ˈvi2,ˈ…ˈvit Ⲵ亪ᒿ׍⅑䇯䰞⇿ањ㢲⛩Ⲵᡰᴹᵚ㻛䇯䰞䗷Ⲵ⴨䛫㢲⛩ˈሶ
ަޘ䜘ḷ䇠Ѫᐢ䇯䰞䗷ˈ׍⅑㊫᧘ˈ⸕䚃മѝᡰᴹоࡍ࿻⛩ vi ᴹ䐟ᖴ⴨਼Ⲵ㢲⛩൷㻛
䇯䰞䗷Ѫ→DŽ
␡ᓖՈݸᩌ㍒⌅Ⲵ䘀㇇䗷〻ᱟ䙂ᖂ䗷〻ˈ᭸⦷䖳վˈ⎚䍩ᰦ䰤઼ᆈۘオ䰤DŽሩ㌫
㔏മ䘋㹼ᩌ㍒ˈᒯᓖՈݸᩌ㍒⌅⴨∄␡ᓖՈݸᩌ㍒⌅ᶕ䈤ˈᗚ⧟⅑ᮠ䖳ቁˈᩌ㍒䙏ᓖ

45. ㅜ 4 ㄐ สҾ䘚、ᯟᖫ㇇⌅Ⲵᴰሿ䐟㇇⌅
31
䖳ᘛˈ㘼ф㢲ⴱ䇑㇇ᵪ䍴ⓀDŽ
4.2 䘚、ᯟᖫ㇇⌅(Dijkstra’s's Algorithm)
4.2.1 䘚、ᯟᖫ㇇⌅สᵜᾲᘥ
䘚、ᯟᖫ㇇⌅ᱟ⭡㦧ޠ䇑㇇ᵪ、ᆖᇦ㢮ީṬ·Wg䘚、ᯟᖫ˄Edsger Wybe Dijkstra’s˅
Ҿ 1959 ᒤᨀࠪⲴDŽ䘚、ᯟᖫ㇇⌅䟷⭘ᒯᓖՈݸᩌ㍒⌅≲䀓䶎䍏ᵳᴹੁമѝⲴঅⓀᴰ⸝
䐟ᖴ䰞仈ˈ㇇⌅ᴰ㓸ਟԕ㧧ᗇањӾⓀ⛩ࡠ਴㢲⛩Ⲵᴰ⸝䐟ᖴṁˈ䘚、ᯟᖫ㇇⌅Ⲵ䗃
ޕᱟањ䶎䍏ᵳᴹੁമ Gˈԕ৺ G ѝⲴањᶕⓀ㢲⛩ sˈ䘚、ᯟᖫ㇇⌅Ѫ⇿ањ㢲⛩ v
ᆈۘⴞࡽѪ→ᡰ᢮ࡠⲴӾ s ࡠ v Ⲵᴰ⸝䐟ᖴ[41-43]ˈࡍ࿻ॆᰦˈሶⓀ⛩ s Ⲵ䐟ᖴ䮯ᓖ d[s]
䍻٬Ѫ 0ˈྲ᷌ᆈ൘㜭ⴤ᧕ࡠ䗮 s Ⲵ䗩˄s, m˅ˈࡉ䇮 d[m]= w˄s, m˅ˈަѝ w˄s, m˅
ᤷⲴᱟ䗩˄s, m˅ⲴᵳˈᒦሶᡰᴹަԆ㢲⛩Ⲵ䐟ᖴ䮯ᓖ䇮Ѫᰐェབྷˈণሩ㢲⛩䳶ਸ V
ѝᡰᴹ㢲⛩ v 䲔 s ઼ m ཆަ։㢲⛩ d[v] = fDŽᖃ㇇⌅㔃ᶏᰦˈӾ s ࡠ v Ⲵᴰ⸝䐟ᖴׯᆈ
ۘ൘Ҷ d[v]ѝDŽ
䘚、ᯟᖫ㇇⌅䙊䗷䗩Ⲵᤃኅ䘋㹼สᵜ᫽֌˖ྲ᷌ᆈ൘аᶑӾ u ࡠ v Ⲵ䗩ˈ䛓Ѹ䗩˄u,
v˅ਟԕ㻛␫࣐ࡠӾ s ࡠ v Ⲵᴰ⸝䐟ᖴѝⲴቮ䜘ᶕᤃኅӾ s ࡠ v Ⲵ䐟ᖴˈ䘉ᶑ䐟ᖴⲴ䮯
ቡਈѪ d[u] + w(u, v)ˈ㤕䈕٬∄ⴞࡽⲴ d[v]㾱ሿˈࡉ⭘䈕٬ᴯᦒᖃࡽ d[v]Ⲵ٬ˈⴤࡠᡰ
ᴹ d[v]㺘⽪Ӿ s Ⓚ⛩ࡠ㢲⛩ v Ⲵᴰ⸝䐟ᖴ䮯ᓖᰦˈᤃኅ䗩Ⲵ᫽֌㔃ᶏDŽ㇇⌅㔤ᣔєњ㢲
⛩䳶 S ઼ Qˈᐢ⸕Ⲵᡰᴹ d[v]٬ᐢ㓿ᱟᴰ⸝䐟ᖴⲴ٬Ⲵ㢲⛩ᆈۘ൘㢲⛩䳶 S ѝˈ䳶ਸ
Q ࡉ؍⮉ަԆ㢲⛩DŽ㇇⌅ࡍ࿻ॆᰦ䳶ਸ S Ⲵ⣦ᘱѪオ䳶ˈ䲿⵰㇇⌅Ⲵ䘀㹼ˈ⇿а↕ᤃ
ኅ䗩᫽֌ᆼᡀਾ䜭ᴹањ㢲⛩Ӿ Q 〫ࣘࡠ S ѝDŽ
4.2.2 䘚、ᯟᖫ㇇⌅ᇎ⧠ᙍ䐟
࡙⭘䘚、ᯟᖫ㇇⌅≲ਆӾⓀ⛩ s ࡠ⛩ v Ⲵᴰ⸝䐟ᖴⲴ䇑㇇䗷〻ྲл˖
˄1˅ࡍ࿻ॆDŽⓀ⛩䇮㖞Ѫ˖d[s] = 0ˈS= ‡˗ަԆᡰᴹ⛩˖d[i] = f˗ሩⓀ⛩䘋㹼
ḷ䇠 k=sˈ਼ᰦሶަԆᡰᴹ⛩൷䇮Ѫᵚḷ䇠ⲴDŽ
˄2˅ḕ傼Ӿᡰᴹᐢḷ䇠Ⲵ⛩ k ࡠަ⴨䛫Ⲵᵚḷ䇠Ⲵ⛩ v Ⲵ䐍⿫ˈᒦ䇮㖞˖
d[v]=min{ d[v], d[k]+w(k, v)}ˈަѝ w(k, v)㺘⽪⛩ k ࡠ v Ⲵⴤ᧕䘎᧕䐍⿫DŽ
˄3˅䘹ਆлањ⛩DŽӾᡰᴹᵚḷ䇠Ⲵ㢲⛩ѝˈ䘹ਆ d[v]ᴰሿⲴањ i. d[i]= min{d[v],
v Ѫᡰᴹᵚḷ䇠Ⲵ⛩}.
˄4˅᢮ࡠ⛩ i Ⲵࡽањ⛩DŽӾᐢḷ䇠Ⲵ⛩ѝ᢮ࡠо⛩ i ⴨䛫Ⲵ⛩ j*ˈ֌Ѫࡽа⛩ˈ
ᒦḷ䇠 i= j*.
˄5˅ḷ䇠⛩ iDŽྲ᷌ᡰᴹ⛩䜭ᐢ㻛ḷ䇠ˈࡉ㇇⌅㔃ᶏ˗੖ࡉ䇠 k= iˈᒦഎࡠ↕僔˄2˅

46. к⎧⭥࣋ᆖ䲒⺅༛ᆖս䇪᮷
㔗㔝׍⅑ᢗ㹼к䘠↕僔ˈⴤࡠᡰᴹ⛩䜭㻛ḷ䇠ᆼᡀDŽ
䘚、ᯟᖫ㇇⌅Ⲵ՚ԓ⸱ྲлᡰ⽪˖
1 function Dijkstra’s(G, w, s)
2 for each vertex v in V[G] // ㇇⌅ࡍ࿻ॆ
3 d[v] := f
4 previous[v] := undefined
5 d[s] := 0
6 S := empty set
7 Q := set of all vertices
8 while Q is not an empty set // Dijstra ㇇⌅ѫփ
9 u := Extract_Min(Q)
10 S := S union {u}
11 for each edge (u,v) outgoing from u
12 if d[v] d[u] + w(u,v) // ᤃኅ䗩(u,v)
13 d[v] := d[u] + w(u,v)
14 previous[v] := u
32
4.2 ᴰሿ䐟㇇⌅
4.2.1 ᴰሿ䐟㇇⌅สᵜ৏⨶
ᴰሿ䐟㇇⌅ѝⲴᴰሿ䐟ᤷⲴᱟ⇿ањ䍏㦧⛩ࡠሩᓄ⭥Ⓚ⛩Ⲵᴰሿ䐟ᖴˈ䙊䗷ሩᴰ
ሿ䐟ᖴⲴ≲ਆˈሶᮤњ㌫㔏ݳԦ࠶Ѫᴰሿ䐟кݳԦ઼䶎ᴰሿ䐟кݳԦє㊫ˈṩᦞ⭥㖁
㔃ᶴ৺㌫㔏ݳԦᇎ䱵ᛵߥˈሶ䶎ᴰሿ䐟кⲴݳԦਟ䶐ᙗ৲ᮠሩ䍏㦧⛩ਟ䶐ᙗᤷḷⲴᖡ
૽ᣈ㇇ࡠ⴨ሩᓄⲴᴰሿ䐟㢲⛩кˈᴰਾሩᴰሿ䐟кݳԦ઼ㅹ᭸㢲⛩䘋㹼䇑㇇ণਟᗇࡠ
䈕䍏㦧⛩ਟ䶐ᙗᤷḷDŽᴰሿ䐟㇇⌅䴰㾱ާփ㘳㲁䝽⭥㌫㔏Ⲵᇎ䱵ᛵߥˈवᤜ䳄⿫ᔰޣǃ
䍏㦧ᔰޣǃ࠶᭟㓯؍ᣔǃ䇑ࡂỰ؞৺༷⭘⭥ⓀㅹDŽ
л䶒ԕањㆰঅⲴ䗀ሴ㖁㔌Ѫֻᶕ䱀䘠ᴰሿ䐟㇇⌅Ⲵสᵜ৏⨶DŽ
俆ݸˈሩ⇿њ䍏㦧⛩≲ਆަࡠ⭥Ⓚ⛩Ⲵᴰሿ䐟ˈᒦሶ㌫㔏ݳԦ࠶Ѫᴰሿ䐟кݳԦ
৺䶎ᴰሿ䐟кݳԦDŽྲമ 4.1 ѝˈѫ侸㓯 AǃB ৺࠶᭟㓯䐟 b ᶴᡀ䍏㦧⛩ 2 ࡠ⭥Ⓚ⛩Ⲵ
ᴰሿ䐟ˈսҾ䈕䐟ᖴкⲴݳԦᡀѪᴰሿ䐟кݳԦˈަԆݳԦণѪ䶎ᴰሿ䐟кݳԦDŽ

47. ㅜ 4 ㄐ สҾ䘚、ᯟᖫ㇇⌅Ⲵᴰሿ䐟㇇⌅
A B C D
DL1 DL2
a b c d
LP1 LP2 LP3 LP4
മ 4.2 ㆰঅⲴ䗀ሴ䝽⭥㖁㔌
༴⨶ᴰሿ䐟кݳԦⲴ৏ࡉྲл˖
˄1˅ᖃ㌫㔏ᰐ༷⭘⭥Ⓚᰦˈԫ᜿ањᴰሿ䐟кݳԦⲴ᭵䳌ᡆỰ؞ˈ䜭Պሬ㠤䍏㦧
⛩ڌ䘀DŽഐ↔ˈሩ䍏㦧⛩ਟ䶐ᙗᤷḷՊӗ⭏ᖡ૽ⲴݳԦਟ䶐ᙗ৲ᮠ࠶࡛ᱟݳԦⲴڌ䘀
33
⦷ i O
˄Oi=ORi +OMi˅৺ڌ䘀ᰦ䰤ti˄ti ORirRi OMirMi˅DŽ൘മ 4.1 ᡰ⽪Ⲵֻᆀѝˈѫ侸
㓯 AǃB ઼࠶᭟㓯䐟 b кⲴݳԦਁ⭏᭵䳌ᡆỰ؞൷Պሬ㠤䍏㦧⛩ 2 ڌ䘀DŽ
˄2˅ᖃ㌫㔏ᴹ༷⭘⭥Ⓚˈ㘼фѫ侸㓯кᆹ㻵ᴹ࠶⇥㻵㖞˄ྲ䳄⿫ᔰޣǃ䍏㦧ᔰޣǃ
࠶⇥ᯝ䐟ಘ˅ᰦˈࡉսҾ࠶⇥㻵㖞ࡽⲴݳԦ᭵䳌ᰦᕅ䎧ਾ⇥䍏㦧⛩Ⲵڌ䘀ᰦ䰤Ѫ max{tb,
tf}ˈަѝ tb Ѫ࠷ᦒ༷⭘⭥Ⓚᡰ⭘ᰦ䰤ˈtf Ѫ࠶⇥㻵㖞᫽֌ᰦ䰤DŽ࠶⇥㻵㖞ࡽⲴݳԦỰ؞
ࡉнՊ䙐ᡀਾ⇥䍏㦧⛩Ⲵڌ䘀DŽ൘മ 4.1 ѝˈѫ侸㓯 A ᭵䳌ˈ䍏㦧⛩ 2 Ⲵڌ䘀ᰦ䰤Ѫ
max{tb, tf}˗㤕ሩѫ侸㓯 A 䘋㹼Ự؞ˈ䍏㦧⛩ 2 н䙐ᡀڌ䘀˗㘼фѫ侸㓯 Bǃ࠶᭟㓯䐟
b кⲴݳԦ᭵䳌൷Պᕅ䎧䍏㦧⛩ 2 ڌ䘀DŽ
㘼ሩҾ䶎ᴰሿ䐟кݳԦˈ䴰㾱ṩᦞ䝽⭥㖁ᇎ䱵㔃ᶴˈሶݳԦሩᡰ࠶᷀Ⲵ䍏㦧⛩ਟ
䶐ᙗᤷḷⲴᖡ૽ᣈ㇇ࡠ⴨ᓄⲴᴰሿ䐟㢲⛩кˈӾ㘼⭘ᴰሿ䐟ѝ⴨ᓄ㢲⛩Ⲵㅹ᭸ਟ䶐ᙗ
ᤷḷ㺘⽪䶎ᴰሿ䐟кݳԦⲴਟ䶐ᙗ৲ᮠDŽ䶎ᴰሿ䐟кݳԦਟԕ᤹ԕл৏ࡉ䘋㹼䇑㇇˖
˄1˅ሩҾ俆ㄟ㻵ᴹ⟄ᯝಘㅹ࠶⇥؍ᣔⲴ࠶᭟㓯ˈྲമ 4.1 ѝⲴ࠶᭟㓯䐟 b ઼ dˈ
ᖃ࠶᭟㓯кݳԦਁ⭏᭵䳌ᰦˈ⟄ᯝಘՊ㠚㹼⟄ᯝˈഐ㘼᭵䳌нՊᖡ૽ަԆ᭟㓯˗
˄2˅㤕࠶᭟㓯俆ㄟ⋑ᴹᆹ㻵࠶᭟㓯؍ᣔˈ䴰㾱ሩ਴䶎ᴰሿ䐟ݳԦ≲ਆަࡠ⭥ⓀⲴ
ᴰ⸝䐟ᖴˈᒦӾݳԦࠪਁ᢮ࡠ䈕䐟ᖴкⲴㅜањ䳄⿫ᔰޣᡆ࠶⇥ᯝ䐟ಘˈᒦࡔ࡛䈕࠶
⇥㻵㖞ᱟ੖սҾ䍏㦧⛩ࡠ⭥Ⓚ⛩Ⲵᴰሿ䐟к˗
ᖃ࠶⇥㻵㖞սҾ䍏㦧⛩Ⲵᴰሿ䐟кᰦˈ䶎ᴰሿ䐟кݳԦ᭵䳌Պሬ㠤䍏㦧⛩ڌ䘀ˈ
䈕ݳԦ᭵䳌ᕅ䎧Ⲵ䍏㦧⛩ڌ䘀ᰦ䰤ㅹҾݳԦⲴڌ䘀ᰦ䰤DŽԕമ 4.1 Ѫֻˈ࠶᭟㓯䐟 a
᭵䳌ᰦˈa ࡠ⭥ⓀⲴᴰ⸝䐟ᖴкⲴㅜањ࠶⇥㻵㖞Ѫ QL1ˈսҾ䍏㦧⛩ 2 ࡠ⭥ⓀⲴᴰሿ
䐟кˈ⭡侸㓯 a ᭵䳌ᡆỰ؞䙐ᡀ䍏㦧⛩ 2 Ⲵڌ䘀ᰦ䰤ㅹҾ a Ⲵڌ䘀ᰦ䰤DŽ
ᖃ࠶⇥㻵㖞нսҾ䍏㦧⛩Ⲵᴰሿ䐟кᰦˈ䶎ᴰሿ䐟кݳԦ᭵䳌ᰦਟԕ⭡䈕࠶⇥㻵

48. к⎧⭥࣋ᆖ䲒⺅༛ᆖս䇪᮷
㖞ࣘ֌ሶ᭵䳌䳄⿫ˈӾ㘼нሩ䍏㦧⛩䙐ᡀᖡ૽ˈഐ↔䈕ݳԦ᭵䳌ᡰᕅ䎧Ⲵ䍏㦧⛩ڌ䘀
ᰦ䰤Ѫ࠶⇥㻵㖞Ⲵ᫽֌ᰦ䰤 tfDŽྲമ 4.1 ѝˈᖃѫ侸㓯 C ᡆ D кⲴݳԦਁ⭏᭵䳌ᰦˈ
⭡䈕ݳԦᕅ䎧Ⲵ䍏㦧⛩ 2 Ⲵڌ䘀ᰦ䰤Ѫ QL2 Ⲵ᫽֌ᰦ䰤DŽ਼ṧൠˈㅖਸ䈕ᶑԦⲴ䶎ᴰ
ሿ䐟кݳԦⲴỰ؞нՊ䙐ᡀ䍏㦧⛩ڌ䘀DŽ
4.2.2 ᭩䘋ᴰሿ䐟㇇⌅
ᇎ䱵Ⲵ䝽⭥㌫㔏ᖰᖰॱ࠶༽ᵲˈ㢲⛩ᮠ䟿䖳ཊˈᡰᖒᡀⲴ㚄㔌⸙䱥ഐ↔ҏॱ࠶ᓎ
བྷˈഐ↔䴰㾱ᘛ䙏ᴹ᭸ራ᢮㖁㔌ᴰሿ䐟Ⲵᯩ⌅ˈሶ䘚、ᯟᖫ㇇⌅ᓄ⭘ࡠ䍏㦧⛩ࡠ⭥Ⓚ
⛩Ⲵᴰሿ䐟ᖴⲴ≲ਆ䗷〻ѝˈᗇࡠⲴᴰሿ䐟䇑㇇ᵪ㇇⌅〻ᒿ⍱〻മྲമ 4.3 ᡰ⽪DŽ
34
ᔰ࿻
䗃ޕ㌫㔏Ⲵ
৏࿻ᮠᦞ
䈳⭘䘚、ᯟᖫ㇇⌅〻ᒿ≲ਆ
⭥Ⓚࡠ਴䍏㦧⛩Ⲵᴰሿ䐟ᖴ
ࡔᯝ㢲⛩ᱟ੖൘ᴰሿ䐟к
ሩ਴䍏㦧⛩ਟ䶐ᙗᤷḷ䘋㹼
䇑㇇
ሩ㌫㔏ਟ䶐ᙗᤷḷ䘋㹼䇑㇇
ᱟ੖䟽ᯠ䇑㇇ަԆ᭟䐟
㔃ᶏ
ሶਟ䶐ᙗㅹ᭸ࡠᴰሿ䐟
㢲⛩к
ᱟ
੖
੖
ᱟ
മ 4.3 สҾ䘚、ᯟᖫ㇇⌅Ⲵᴰሿ䐟ਟ䶐ᙗ㇇⌅⍱〻മ

49. ㅜ 4 ㄐ สҾ䘚、ᯟᖫ㇇⌅Ⲵᴰሿ䐟㇇⌅
35
4.3 ᵜㄐሿ㔃
ᵜㄐӻ㓽ҶമⲴสᵜᾲᘥǃสᵜᵟ䈝৺㺘䗮ᯩᔿˈሩമⲴᒯᓖՈݸᩌ㍒⌅઼␡ᓖ
Ոݸᩌ㍒⌅䘋㹼Ҷ∄䖳࠶᷀ˈᒦሩ䘚、ᯟᖫ㇇⌅Ⲵสᵜᾲᘥ䘋㹼Ҷ䱀䘠ˈ࠶᷀Ҷ䘚、
ᯟᖫ㇇⌅Ⲵᇎ⧠ᯩᔿ઼৏⨶DŽᵜㄐ䘈ሩᴰሿ䐟㇇⌅䘋㹼Ҷ࠶᷀ˈᴰሿ䐟㇇⌅ѝⲴᴰሿ
䐟ᤷⲴᱟ⇿ањ䍏㦧⛩ࡠሩᓄ⭥Ⓚ⛩Ⲵᴰሿ䐟ᖴˈ䙊䗷ሩᴰሿ䐟ᖴⲴ≲ਆˈሶᮤњ㌫
㔏ݳԦ࠶Ѫᴰሿ䐟кݳԦ઼䶎ᴰሿ䐟кݳԦє㊫ˈṩᦞ⭥㖁㔃ᶴ৺㌫㔏ݳԦᇎ䱵ᛵߥˈ
ሶ䶎ᴰሿ䐟кⲴݳԦਟ䶐ᙗ৲ᮠሩ䍏㦧⛩ਟ䶐ᙗᤷḷⲴᖡ૽ᣈ㇇ࡠ⴨ሩᓄⲴᴰሿ䐟㢲
⛩кˈᴰਾሩᴰሿ䐟кݳԦ઼ㅹ᭸㢲⛩䘋㹼䇑㇇ণਟᗇࡠ䈕䍏㦧⛩ਟ䶐ᙗᤷḷDŽ㘳㲁
ࡠᇎ䱵⭥㖁ᛵߥ䙊ᑨ∄䖳༽ᵲˈ㢲⛩ᮠཊˈᴰሿ䐟Ⲵ≲ਆ䗷〻Պॱ࠶༽ᵲˈഐ↔ᵜ᮷
ᨀࠪа⿽สҾ䘚、ᯟᖫ㇇⌅Ⲵᴰሿ䐟⌅ˈሶ䘚、ᯟᖫ㇇⌅ᓄ⭘Ҿሩ䍏㦧⛩ࡠ⭥Ⓚ⛩ᴰ
ሿ䐟ᖴⲴ≲ਆ䗷〻ѝˈӾ㘼┑䏣༽ᵲ䝽⭥㖁ਟ䶐ᙗ࠶᷀Ⲵ䴰㾱DŽ

50. к⎧⭥࣋ᆖ䲒⺅༛ᆖս䇪᮷
ㅜ 5 ㄐ ㇇ֻ৺㔃᷌࠶᷀
36
5.1 ㇇ֻ䘹ਆ
ᵜ᮷䘹ਆ IEEE RBTS BUS 6 ᡰᑖⲴ䝽⭥㌫㔏֌Ѫ㇇ֻˈަ㌫㔏᧕㓯മྲമ 5.1 ᡰ
⽪[55,56]DŽ䈕㌫㔏ѝवਜ਼ 4 ᶑѫ侸㓯ˈ3 ᶑᆀ侸㓯ˈ40 њ⟄ᯝಘˈ38 њ䝽⭥ਈ঻ಘˈ৺
40 њ䍏㦧⛩DŽ
F4
35
36
37
38
39
40
41
43 42
44
45
46
47
48
49
50
51
52
53
F5
54
56
57
58
55
LP19
LP21
LP23
LP25
LP27
59 60 61 63 64
62
F2 F1 F3
28 27
29
30
32 31
34 33
1 2
3 4
5 6
7 8
9 10
11 12
33kV
11kV
13
14
15 16
17 18
19 20
21 22
23 24
25 26
LP1
LP2
LP3
LP4
LP5
LP6
LP7
LP8
LP9
LP10
LP11
LP12
LP13
NO
LP38 LP39 LP40
LP37
LP36
LP26
LP18
LP20
LP22
LP24
LP31
LP32
LP33
LP34
LP35
LP28
LP29
LP30
F6
F7
മ 5.1 IEEE RBTS BUS 6 ㌫㔏᧕㓯മ

51. ㅜ 5 ㄐ ㇇ֻ৺㔃᷌࠶᷀
37
5.2 ᮠᦞ߶༷
䘀⭘สҾ䘚、ᯟᖫ㇇⌅Ⲵᴰሿ䐟⌅ሩ䝽⭥㖁䘋㹼ਟ䶐ᙗ࠶᷀ˈ䴰㾱俆ݸሶ䝽⭥㖁
䖜ᦒѪമ䇪ѝⲴᴹੁമˈᒦ⭘䛫᧕⸙䱥ሩ䝽⭥㖁㔃ᶴ䘋㹼᧿䘠DŽ䇮䛫᧕⸙䱥Ѫ Aˈࡉ A
ާᴹԕл⢩⛩˖
˄1˅ሶ㖁㔌ѝᡰᴹ䍏㦧᭟䐟ˈवᤜᷦオ㓯䐟ǃᯝ䐟ಘǃਈ঻ಘǃ⟄ᯝಘǃ࠶⇥ᔰ
ޣ৺㚄㔌ᔰޣㅹˈ൷ⴻᡀањ㢲⛩ˈ䇮㖁㔌ѝޡᴹ n њ㢲⛩ˈࡉ A Ѫ nun 䱦⸙䱥˗
˄2˅A ѝⲴݳ㍐ aij ԓ㺘㖁㔌ѝݳԦⲴ⭥≄䘎᧕ޣ㌫ˈaij=0 㺘⽪ݳԦ i оݳԦ j ѻ
䰤ᴹ㚄㌫ˈ৽ѻ aij=1.
㺘 5.1ǃ5.2ǃ5.3 ࠶࡛㔉ࠪҶ䈕㌫㔏Ⲵ৏࿻ᮠᦞ৺਴ݳԦⲴਟ䶐ᙗ৲ᮠDŽ
㺘 5.1 䍏㦧ᮠᦞ[55]
䍏㦧⛩㕆ਧ ⭘ᡧ㊫ර 䍏㦧⛩⭘ᡧᮠ
1 3 9 ት≁⭘ᡧ 138
2 4 1 19 ት≁⭘ᡧ 126
5 6 ት≁⭘ᡧ 118
7 8 10 18 23 ት≁⭘ᡧ 147
12 13 22 ት≁⭘ᡧ 132
25 28 31 36 ት≁⭘ᡧ 79
27 29 33 39 ት≁⭘ᡧ 76
14 17 ୶ъ⭘ᡧ 10
15 ሿ⭘ᡧ 1
16 ሿ⭘ᡧ 1
32 37 ߌъ⭘ᡧ 1
20 30 34 ߌъ⭘ᡧ 1
21 35 ߌъ⭘ᡧ 1
24 40 ߌъ⭘ᡧ 1
26 38 ߌъ⭘ᡧ 1
ޡ䇑 2938

52. к⎧⭥࣋ᆖ䲒⺅༛ᆖս䇪᮷
㺘 5.2 㓯䐟ᮠᦞ[55]
38
㓯䐟䮯ᓖ
˄km˅
㓯䐟㕆ਧ
0.6 2 3 8 9 12 13 17 19 20 24 25 28 31 34 41 47
0.75 1 5 6 7 10 14 15 22 23 26 27 30 33 43 61
0.8 4 11 16 18 21 29 32 35 55
0.9 38 44
1.6 37 39 42 49 54 62
2.5 36 40 52 57 60
2.8 35 48 50 56 59 64
3.2 45 51 53 58 63
3.5 48
㺘 5.3 ݳԦਟ䶐ᙗ৲ᮠ[55]
ݳԦ㊫ර ᭵䳌⦷ Ȝ˄⅑/ᒤ˅ ᭵䳌ᰦ䰤 r˄h˅
ᷦオ㓯䐟˄/km˅ 0.05 4
ਈ঻ಘ 0.015 200
ᯝ䐟ಘ 0.002 4
䳄⿫ᔰޣ 0.005 8
⟄ᯝಘ 0.005 5
5.3 ਟ䶐ᙗ䇑㇇⍱〻
ᓄ⭘สҾ䘚、ᯟᖫ㇇⌅Ⲵᴰሿ䐟⌅䇑㇇䝽⭥㌫㔏ਟ䶐ᙗᤷḷⲴ⍱〻ྲമ 5.2

53. ㅜ 5 ㄐ ㇇ֻ৺㔃᷌࠶᷀
39
ᔰ࿻
䈳⭘䘚、ᯟᖫ㇇⌅〻ᒿ≲ਆ
⭥Ⓚࡠ਴䍏㦧⛩Ⲵᴰሿ䐟ᖴ
ࡔᯝ㢲⛩ᱟ੖൘ᴰሿ䐟к
ሩ਴䍏㦧⛩ਟ䶐ᙗᤷḷ䘋㹼
䇑㇇
ሩ㌫㔏ਟ䶐ᙗᤷḷ䘋㹼䇑㇇
ᱟ੖䟽ᯠ䇑㇇ަԆ᭟䐟
㔃ᶏ
ሶਟ䶐ᙗㅹ᭸ࡠᴰሿ䐟
㢲⛩к
ᱟ
੖
੖
ᱟ
䈫ਆ㖁㔌ᤃᢁᮠᦞ઼䇮༷
ਟ䶐ᙗᮠᦞ
മ 5.2 สҾ䘚、ᯟᖫ㇇⌅Ⲵᴰሿ䐟⌅䇑㇇⍱〻
ྲㅜ 2 ㄐᡰᨀࡠⲴˈ᤹➗ਟ䶐ᙗ⚥᭿ᓖⲴᮠ٬䇑㇇ᙍᜣˈਟԕሶਟ䶐ᙗ⚥᭿ᓖᤷ
ḷⲴ䇑㇇፼ޕࡠਟ䶐ᙗᤷḷ䇑㇇Ⲵ䗷〻ѝˈྲമ 5.3 ᡰ⽪DŽ

54. к⎧⭥࣋ᆖ䲒⺅༛ᆖս䇪᮷
䈫ਆ㖁㔌ᤃᢁᮠᦞ઼䇮༷ਟ䶐ᙗᮠᦞ
࡙⭘ᴰሿ䐟㇇⌅ᗇࠪਟ䶐ᙗᤷḷ1
ሩݳԦਟ䶐ᙗ৲ᮠi໎࣐1њঅս
࡙⭘ᴰሿ䐟㇇⌅ᗇࠪਟ䶐ᙗᤷḷ2
ਟ䶐ᙗᤷḷ⚥᭿ᓖ=ਟ䶐ᙗᤷḷ2-ਟ䶐ᙗᤷḷ1
ਟ䶐ᙗᤷḷ⚥᭿ᓖᐢ≲䀓ᆼᡀ
40
㔃ᶏ
ᱟ
੖
മ 5.3 ፼ޕਟ䶐ᙗ⚥᭿ᓖ䇑㇇Ⲵ㇇⌅⍱〻
5.5 䇑㇇㔃᷌
ᓄ⭘к䘠㇇⌅ሩ IEEE RBTS BUS 6 ਴ިර䍏㦧⛩઼㌫㔏ਟ䶐ᙗᤷḷ䘋㹼䇑㇇ᗇࡠ
Ⲵ㔃᷌ྲ㺘 5. 3ǃ5.4 ᡰ⽪ˈሩ਴䍏㦧⛩઼㌫㔏ਟ䶐ᙗᤷḷ䘋㹼᡻㇇ᗇࡠⲴ㔃᷌ྲ㺘 5.5ǃ
5.6 ᡰ⽪DŽ
㺘 5.3 ިර䍏㦧⛩ਟ䶐ᙗᤷḷ䇑㇇㔃᷌
䍏㦧⛩
ᒤᒣ൷ڌ⭥⦷ Ȝ
˄⅑/ᒤ˅
ᒣ൷ڌ⭥ᰦ䰤 r
˄h˅
ᒤڌ⭥ᰦ䰤 U
˄h/ᒤ˅
1 0.3300 2.4716 0.8160
6 0.3300 2.5110 0.8300
7 0.3698 2.3159 0.8552
12 0.3594 2.3518 0.8452
14 0.2425 3.0040 0.7250
16 0.2402 4.1891 1.0074
18 1.6804 5.0205 8.4025
26 1.7107 6.7069 11.4702

55. ㅜ 5 ㄐ ㇇ֻ৺㔃᷌࠶᷀
29 2.2163 6.3125 13.8772
32 2.5620 5.0152 12.7096
40 2.5002 6.1723 15.3846
㺘 5.4 ㌫㔏ਟ䶐ᙗᤷḷ䇑㇇㔃᷌
41
SAIFI
(⅑/ᡧgᒤ)
SAIDI
˄h/ᡧgᒤ˅
CAIDI
˄h/ڌ⭥ᡧgᒤ˅
ASAI
0.9902 6.5704 6.6205 0.9994
㺘 5.5 ިර䍏㦧⛩ਟ䶐ᙗᤷḷ᡻㇇㔃᷌
䍏㦧⛩
ᒤᒣ൷ڌ⭥⦷ Ȝ
˄⅑/ᒤ˅
ᒣ൷ڌ⭥ᰦ䰤 r
˄h˅
ᒤڌ⭥ᰦ䰤 U
˄h/ᒤ˅
1 0.3225 2.4715 0.8161
6 0.3225 2.51107 0.8310
7 0.3683 2.3153 0.8560
12 0.3546 2.3516 0.8450
14 0.2427 3.0044 0.7248
16 0.2384 4.1884 1.0074
18 1.6775 5.0203 8.4026
26 1.7275 6.7076 11.4701
29 2.3574 6.3123 13.8768
32 2.2783 5.0148 12.7202
40 2.5540 6.1733 15.3782
㺘 5.6 ㌫㔏ਟ䶐ᙗᤷḷ᡻㇇㔃᷌
SAIFI
(⅑/ᡧgᒤ)
SAIDI
˄h/ᡧgᒤ˅
CAIDI
˄h/ڌ⭥ᡧgᒤ˅
ASAI
0.9902 6.5699 6.6195 0.9995
㓿䗷к䘠є⿽䇑㇇ᯩ⌅Ⲵሩ∄ਁ⧠䇑㇇㔃᷌∄䖳⴨䘁ˈ䈤᰾䈕㇇⌅ਟ㹼фᴹ᭸DŽ
ሩ㌫㔏ਟ䶐ᙗᤷḷ⚥᭿ᓖ䘋㹼䇑㇇ᗇࡠⲴ㔃᷌ྲ㺘 5.5 ᡰ⽪DŽ

56. к⎧⭥࣋ᆖ䲒⺅༛ᆖս䇪᮷
㺘 5.7 ㌫㔏ਟ䶐ᙗᤷḷ⚥᭿ᓖ䇑㇇㔃᷌
42
ᤷḷ
SAIFI
(⅑/ᡧgᒤ)
SAIDI
˄h/ᡧgᒤ˅
CAIDI
˄h/ڌ⭥ᡧgᒤ˅
ASAI
ሩ㓯䐟ڌ䘀⦷⚥
᭿ᓖ
0.02084 0.06850 -0.08535 -0.00076
ሩ㓯䐟ڌ䘀ᰦ䰤
⚥᭿ᓖ
0 0.03545 0.14450 -0.00038
ሩਈ঻ಘڌ䘀⦷
⚥᭿ᓖ
0.01369 0.33652 1.01385 -0.00325
ሩਈ঻ಘڌ䘀ᰦ
䰤⚥᭿ᓖ
0 0.01168 0.05025 -0.00010
ሩᯝ䐟ಘڌ䘀⦷
⚥᭿ᓖ
0.05165 0.06485 -0.57524 -0.00078
ሩᯝ䐟ಘڌ䘀ᰦ
䰤⚥᭿ᓖ
0 0.00759 0.03683 -0.00010
⭡㺘 5.7 ਟԕⴻࠪˈASAI ሩ਴ݳԦਟ䶐ᙗ৲ᮠⲴ⚥᭿ᓖѪ䍏ˈᱟഐѪᖃݳԦਟ䶐
ᙗ䱽վᰦˈਟ䶐ᙗ⴨ޣ৲ᮠ໎བྷˈՊᕅ䎧ᒣ൷׋⭥ਟ䶐⦷ᤷḷ߿ሿDŽᮤփᶕ䈤ˈ㌫㔏
਴ਟ䶐ᙗᤷḷሩਈ঻ಘڌ䘀⦷Ⲵ⚥᭿ᓖᴰ儈ˈ䈤᰾䙊䗷䟷ਆ᧚ᯭ䱽վਈ঻ಘⲴ᭵䳌⦷
ᡆỰ؞⦷ˈਟԕᴰᴹ᭸ൠ᭩ழ㌫㔏ਟ䶐ᙗᤷḷ˗㘼㌫㔏਴ਟ䶐ᙗᤷḷሩਈ঻ಘڌ䘀ᰦ
䰤⚥᭿ᓖ∄䖳վˈ䈤᰾䱽վਈ঻ಘڌ䘀ᰦ䰤ሩ㌫㔏ਟ䶐ᙗᤷḷ᭩ழн᰾ᱮDŽ
5.6 ᵜㄐሿ㔃
ᵜㄐ䘹ਆҶ IEEE RBTS BUS 6 ᡰ䘎᧕Ⲵ䝽⭥㌫㔏֌Ѫ㇇ֻˈሩสҾ䘚、ᯟᖫ㇇⌅
Ⲵᴰሿ䐟⌅䘋㹼 MATLAB 㕆〻ˈᓄ⭘䈕〻ᒿሩᡰ䘹㇇ֻѝ਴ިර䍏㦧⛩৺㌫㔏ਟ䶐ᙗ
ᤷḷ䘋㹼Ҷ䇑㇇ˈ㓿䗷䇑㇇㔃᷌о᡻㇇㔃᷌ሩ∄䇱᰾䈕ᯩ⌅ਟ㹼фᴹ᭸DŽ਼ᰦ䈕〻ᒿ
䘈፼ޕҶਟ䶐ᙗᤷḷ⚥᭿ᓖⲴ䇑㇇䗷〻ˈ䙊䗷ሩ䇑㇇㔃᷌Ⲵ࠶᷀ਁ⧠ᨀ儈ਈ঻ಘⲴ᭵
䳌⦷ਟᴰᴹ᭸ൠ᭩ழ㌫㔏ਟ䶐ᙗᤷḷDŽ

57. ㅜ 6 ㄐ ᙫ㔃
ㅜ 6 ㄐ 㔃䇪
ᵜ᮷൘䝽⭥㌫㔏ਟ䶐ᙗ⧠ᴹ⹄ウⲴส⹰кˈሩ䝽⭥㌫㔏สᵜᾲᘥǃ䝽⭥㖁᧕㓯㔃
ᶴǃ䝽⭥ਟ䶐ᙗ࠶᷀䗷〻䘋㹼Ҷᴤ࣐␡ޕⲴ࠶᷀о⹄ウˈ਼ᰦᨀࠪҶ䝽⭥㌫㔏ਟ䶐ᙗ
ᤷḷ⚥᭿ᓖⲴᮠ٬㇇⌅DŽ
൘ԕк⹄ウⲴส⹰кˈᵜ᮷ሩ⧠ᴹⲴ਴⿽䝽⭥㌫㔏ਟ䶐ᙗ䇴ՠᯩ⌅䘋㹼Ҷ࠶᷀DŽ
䪸ሩ༽ᵲ䝽⭥㌫㔏ᨀࠪҶสҾ䘚、ᯟᖫ㇇⌅Ⲵᴰሿ䐟⌅DŽ
䈕㇇⌅俆ݸ࡙⭘䘚、ᯟᖫ㇇⌅ሩ਴䍏㦧⛩≲ਆࡠ⭥Ⓚ⛩Ⲵᴰሿ䐟ᖴˈ❦ਾሶݳԦ
࠶Ѫᴰሿ䐟кݳԦ઼䶎ᴰሿ䐟кݳԦˈ䙊䗷࠶᷀ݳԦ᭵䳌ሩ䍏㦧⛩Ⲵᖡ૽ˈሶ䶎ᴰሿ
䐟кݳԦᣈ㇇ࡠ⴨ᓄ㢲⛩кˈ޽ሩ䍏㦧⛩ਟ䶐ᙗᤷḷ䘋㹼䇑㇇ˈ䘋㘼ᗇࠪ㌫㔏ਟ䶐ᙗ
ᤷḷDŽ
ᵜ᮷สҾ MATLAB ሩ䈕㇇⌅䘋㹼Ҷ㕆〻ˈᒦ䘹ਆ IEEE RBTS BUS 6 ᡰ䘎䝽⭥㌫
㔏֌Ѫ㇇ֻˈሶ〻ᒿ䇑㇇㔃᷌о᡻㇇㔃᷌䘋㹼∄䖳ˈ䇱᰾ᯩ⌅Ⲵਟ㹼ᙗ৺ᴹ᭸ᙗDŽ਼
ᰦˈᵜ᮷䘈ሩ䝽⭥㌫㔏ਟ䶐ᙗᤷḷ⚥᭿ᓖ䘋㹼Ҷ䇑㇇ˈ䙊䗷䇑㇇᢮ࡠҶ㌫㔏ѝⲴ㮴ᕡ
⧟㢲ˈਟԕѪ䝽⭥㌫㔏ਟ䶐ᙗⲴ᭩ழᨀ׋ᤷሬ׍ᦞDŽ
43

58. к⎧⭥࣋ᆖ䲒⺅༛ᆖս䇪᮷
৲㘳᮷⥞
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46

61. 㠤䉒
㠤䉒
ᰦݹྲờˈйᒤⲴ⹄ウ⭏⭏⍫䖜⵬ቡ䗷৫Ҷˈ㜭ཏ൘к⎧⭥࣋ᆖ䲒ᆼᡀᡁⲴ⹄ウ
⭏⭏⏟ᡁᝏࡠॱ࠶Ⲵ㦓ᒨˈ䘉䟼Ⲵᆖᵟ≋തǃ、⹄⧟ຳˈ䜭䇙ᡁਇ⳺ग़⍵ˈᒦѪᡁӺ
ਾⲴᐕ֌ᢃлҶඊᇎⲴส⹰DŽаᜣࡠণሶ⿫ᔰ䘉䟼ᡁᝏࡠॱ࠶н㠽DŽ
ᡁ൘↔⭡㺧ൠᝏ䉒ᡁⲴሬᐸୀᘐᮉᦸ䇙ᡁᶕࡠԆⲴ䈮仈㓴ˈୀᘐ㘱ᐸᒣ᱃䘁ӪⲴ
ᐕ֌֌仾ǃ儈ቻᔪ⬤Ⲵᆖᵟ⵬ݹǃޒޒъъⲴᐕ֌㋮⾎ˈѪᡁṁ・Ҷῌṧˈ≨䘌٬ᗇ
ᡁᆖҐ઼᭸ԯDŽ
਼ᰦ䘉ㇷ䇪᮷Ⲵᆼᡀҏ⿫нᔰ䠁ѹ䳴㘱ᐸሩᡁⲴᤷሬˈ൘⹄аⲴᰦىቡੁᡁᨀࠪ
䇪᮷Ⲵᤷሬ᜿㿱ˈᒦᑞࣙᡁ⺞ᇊ䇪᮷Ⲵѫ仈ˈӾ䇪᮷Ⲵѫ仈ǃ޵ᇩǃࡠᮤփⲴ㔃ᶴ䜭
㔉ҸҶ㓶㠤ǃᴹ᭸ⲴᤷሬDŽ
൘䘉䟼ᡁ䘈㾱ᝏ䉒ᡁⲴᇔ৻੤䶆ǃ⦻⡡ᲘˈྩԜ൘ᡁⲴ⭏⍫ǃᆖҐк㔉ҸҶᖸཊ
47
Ⲵᑞ઼ࣙޣᗳDŽ
ᝏ䉒㾯䰘ᆀޜਨ IC SG Ⲵᴩ෾⾴㓿⨶ǃằᲃ呿ᐕ〻ᐸ઼ညᵋᐕ〻ᐸˈѪᵜ᮷ޣҾ
ഭཆ䝽⭥㌫㔏ਟ䶐ᙗⲴㄐ㢲ᨀ׋Ҷ䇨ཊ⴨ޣ䍴ᯉDŽ
ᴰਾᡁ㾱ᝏ䉒аⴤ᭟ᤱᡁⲴ⡦⇽ˈᝏ䉒֐ԜаⴤԕᶕሩᡁⲴޣᘰDŽ

62. к⎧⭥࣋ᆖ䲒⺅༛ᆖս䇪᮷
᭫䈫ᆖսᵏ䰤ਆᗇⲴ⹄ウᡀ᷌
[1] ㅜа֌㘵. 䝽㖁ਟ䶐ᙗᤷḷ⚥᭿ᓖ㇇⌅⹄ウ [J]. ॾѝ⭥࣋, 2014, (1): 151-152.
48