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Facts Devices Placement using Sensitivity Indices Analysis Method
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CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
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Introduction to Machine Learning Unit-3 for II MECH
Introduction to Machine Learning Unit-3 for II MECH
Facts Devices Placement using Sensitivity Indices Analysis Method
1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 2398 FACTS Devices Placement Using Sensitivity Indices Analysis Method Prof. Chetan W. Jadhao1, Prof. Ankit A. Zade2 1Assistant Professor, Electrical Engineering Department of Datta Meghe Institute of Engineering, Technology & Research, Wardha, Maharashtra, India 2Assistant Professor, Electrical Engineering Department of Jagadambha College of Engineering & Technology, Yavatmal, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract – The transmission of power has been severely limited due to limited resources andenvironmentalrestriction because in recent years, power demand has increased substantially. From the security point of view Power system stability has been recognized as an important problem. To improve operating margins necessary for system stability several conventional methods used. Many of these suffer with excessive response time and considerable amount of power loss. To overcome this difficulty, a rapid developmentofpower electronic devices such as Flexible AC Transmission System (FACTS) devices are used, their primary application is to enhance power transfer capabilities, power system stability and allow more flexible control of power flows. By installing FACTS equipment at optimal sites, the overall system benefits are sought. But the location of these FACTS devices has been big challenge. This challenge is overcome by using Sensitivity Indices analysis method. The ‘MATLAB’ software is used here to write a programming code for finding out the sensitivity indices. IEEE-5 bus system is used here for the study purpose. Key Words: FACTS; PI; sensitivity analysis; sensitivity indices; power system security 1. INTRODUCTION The power system needs to be operationally secure, i.e. with minimal probability of blackout and equipmentdamage [2][3]. The power systemoperationissaidtobenormalwhen the power flows and the bus voltages are within acceptable limits despite changes in load or available generation. From this perspective, security is the probability of a power system’s operating point remaining in a viable state of operation [4]. Fig. 1 shows the system operating state [5]. NORMAL STATE ALERT STATE EMERGENCY STATEIN-EXTREMIS STATE RESTORATIVE STATE SYSTEM INTACTSYSTEM NOT INTACT Fig-1: Power System Operating State FACTS devices are effective and capable ofincreasingthe power transfer capability of a line and support the power system to work with comfortable margins of stability and used to overcome the insecure problem of power system [6] [7]. In this paper, the optimal location of FACTS devices is find out using sensitivity indices analysis method. The ‘MATLAB’ software is used here to write a programming code for finding out the sensitivity indices. For the study purpose electrical IEEE-5 bus system is used here. 2. BENEFITS OF UTILIZING FACTS DEVICES The advantages of utilizing FACTS devices in power system can be given as below; Existing transmission systemcanbeutilizeinbetter way with the help of FACTS devices. Reliability and availability of transmission system increases. Environmental friendly. In many countries, increasing the energy transfer capacity and controlling the load flow of transmission lines are of vital importance. Frequently, adding new transmissionlines to meet increasing electricity demand is limited by economical and environmental constraints. FACTS devices help to meet increasing electricity demand with the existing transmission systems [9]. 3. PROPOSED SENSITIVITY ANALYSIS METHOD Following sensitivity analysis method used for finding the optimal location of FACTS devices [10][11]. Real Power Flow Performance Index Sensitivity Indices. 3.1 Real Power Flow Performance Index (PI)Sensitivity Indices The severity of the system loading under normal and contingency cases can be described by a real powerlineflow performance index, as given below [13] [14];
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 2399 PI = The FACTS devices should be placed on the most sensitive line. Following criteria can be used for deciding optimal placement [12]. In real power flow performance index method, the FACTS devices should be placed in a line having most negative sensitive index. 4. SYSTEM DESRCIRPTION Study of power systemstabilityusingsensitivityindices is done here. In this paper, idea about, which line is most sensitive in network is explain here. The analysis is done on IEEE-5 bus system. The single line diagramoftheIEEE-5bus standard test system is shown in Fig. 3, This typical system consist of three generators and five buses as shown in Fig. 3. Three generators are connected on bus 1, bus 2, bus 3 whereas the loads are connected on bus 2, bus 3, bus 4 and bus 5. The generating capacity of each generator, value of load and value of resistance and reactance arealsoshown in it. G G G V1 = 1.06 V2 = 1.045 V3 = 1.03 40 MW 30 MW 0.02+j0.06 0.08+j0.24 0.06+j0.18 0.06+j0.18 20 MW 15 MVAr 0.01+j0.03 0.04+j0.12 20 MW 10 MVAr 70 MW 40 MVAr 0.08+j0.24 60 MW 30 MVAr 1 2 3 4 5 Fig-3: IEEE-5 bus system 5. RESULT AND DISCUSSION The result obtained from the MATLAB programming are shown in TABLE I real power flow performance index sensitivity indices analysis method. Column 3rd gives sensitivity indices by using real power flow performance index sensitivity analysis method and it is denoted by bij. According to real power flow performance index method (column 3rd), line no. 1 (bij = -4.11798e08 ) is most sensitive and line no. 1 is suitable for optimal placement of FACTS device. In this way to overcome the security problem of power system, optimal placement of FACTS devices can done with the help of sensitivity analysis indices method. Table -1: Calculated Sensitivity Indices Line i-j bij 1 1-2 -4.11798e08 2 1-3 -29579.4 3 2-3 -26.9698 4 2-4 0 5 2-5 1.45617e07 6 3-4 6.99824e08 7 4-5 0 3. CONCLUSIONS For the power system state bettermentfromthesecurity point of view, optimal placing of FACTS devicesisimportant. By introducing sensitivity analysis method, optimal place of FACTS devices is find out here. In this way by introducing Real Power flow Performance index Sensitivity Indices method, FACTS device placement is done to overcome the security problem of power system. REFERENCES [1] Narain G. Hingorani, Life Fellow, IEEE, “FACTS Technology State Of The Art, Current Challenges And The Future Prospects”. [2] John J. Paserba, Fellow, IEEE, “How FACTS controllers Benefit AC Transmission System”. [3] Nikhlesh Kumar Sharma, Arindam Ghosh, Rajiv Kumar Varma,“A novel placement strategy for FACTS controllers,” IEEE Transactions on Power Delivery, vol. 18, July 2003. [4] D. Marali, Dr. M. Rajaram, N. Reka, “Comparisonof FACTS devices for power system stability enhancement” , International Journal of Computer Applications, vol. 8, Oct. 2010. [5] “Operating under stress and strain”, IEEE Spectrum, March, 1978. [6] Ranjit Kumar Bindal, “A Review of Benefits of FACTS devices in Power System,” International Journals of Engineering and Advanced Technology, vol. 3, April 2014. [7] M. A. Abido, “Power system stability enhancement using FACTS controllers: A Review”.
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 2400 [8] A. Edris, et.al, “Proposed terms and Definitions for Flexible AC Transmission System (FACTS)”, IEEE Trans. Power delivery, vol. 12, pp. 1848-1853, Oct. 1997. [9] Sajid Ali, Sanjiv Kumar, Vipin Jain, “Installation and Benefits of FACTS Controllers and Voltage Satability in Electrical Power Systems”. [10] Hassan W. Qazi, Jai Govind Singh, “Development of sensitivity based indices for optimal placementof UPFCto minimize load curtailment requirement”. [11] Prakash Burde, Jagdish Helonde, “Optimal location of FACTS devices on enhancing system security,” International Journals of Electrical and Computer Engineering, vol. 2, June 2012, pp. 309-316. [12] S. Manikandan, P. Arul, “Optimal location of multiple FACTS devices using sensitivity methods”, International Journals Of Engineering Trends And Technology, vol. 4, 10 Oct. 2013 [13] K. S. Verma, S. N. Singh, H. O. Gupta, “FACTS devices location for enhancement of total transfer capability” Power Engineering Society Winter Meeting, IEEE, vol.2, pp. 522-527. [14] S. V. Jethan, V. P. Rajderkar, “Sensitivity based optimal location of power system security,”International Journals Of Research In Engineering And Technology. BIOGRAPHIES Chetan W. Jadhao received his degree in Electrical (Electronics & Power) Engineering (B.E.) from Shri Sant Gajanan Maharaj College of Engineering, Shegaon, India in 2013. He received his M.Tech. in Electrical Power System from Dr. Babasaheb Ambedkar Technological University, Lonere, India. Currently he is working as a Assistant Professor in Electrical Engineering Department at Datta Meghe Institute of Engineering, Technology & Research, Sawangi(Meghe), Wardha, India. His area of interest includespower system, control system, signal system and FACTS, Fuzzy Logic, ANN. Ankit A. Zade received his degree in Electrical Engineering (B.E.) from Jagadambha College of Engineering & Technology, Yavatmal, India in 2014. He received his M.Tech. in Integrated Power System from Rashtrasant Tukdoji Maharaj Nagpur University, Nagpur, India. Currently he is working as a Assistant Professor in Electrical Engineering Department at Jagadambha CollegeofEngineering & Technology, Yavatmal, India. His area of interest includes power system, High Voltage Engineering, control system, Digital Signal Processing, Fuzzy Logic. 1’st Author Photo
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