 Successful implementation of DR program is possible if the users participates into it willingly without compromising with their comfortable life style  DR program does not ensure same amount of benefit for all the participating players i.e, some may be incentivized whwre as some can receive penality.  The employment of DR relies on the reliable,robust and secure communication system.  Choice of efficient energy price structure is the main key factor to attract the users towards DR programs.

1. DEMAND SIDE ENERGY MANAGEMENT
By
SIRIPURAM.SAIKRISHNA -15JJ1A0250
DEPARTMENT OF ELECTRICAL AND ELECTRONICS
ENGINEERING
Jawaharlal Nehru Technological University Hyderabad
College Of Engineering Jagtial
Nachupally (Kondagattu), Jagtial Dist - 505 501,T.S.

2. Overview of INDIAN POWER SECTOR

3. Growth of installed capacity

4. DEMAND SIDE MANAGEMENT
• Alteration of customer’s electricity consumption patterns to produce
the desired changes in the load shapes of power distribution systems
• Focuses on utilising power saving technologies,electricity
tariffs,monetary incentives,and government policies to mitigate the
peak load demand instead of enlarging the generation capacity or
reinforcing the transmission and distribution and distribution network
• Objetive of demand side management could be maximising the use of
renewable energy resources,maximizing the economic
benefit,minimizing the power imported from the main distribution
grid,or reducing the peak load demand

5. Necessity of DSM
• Ever increasing peak demand and peak energy deficit
• Scarcity of fossil fuel
• Global warming concern
• Penetration of highly stochastic renewable energy resources

6. Different DSM strategies

7. Archetecture of DSM driven Power system

8. Demand side management Analysys with load shifting
Single objective
• Flexible devices are shifted to ring
the actual load curve as close as
to the utility or customer designed
objective load consumption curve
to provide benefit either utility or
user,
i.e,
Minimise
(actual load demand-utility/user
specified desired load demand)
Multi objective
• Objective load consumption
curve is set to provide benefit to
both the parties,i.e,
Minimize
(actual load demnd -0.5*(utility
specified desired load desired load
demand)-0.5*(user specified
desired load demand)

9. Demand side management Analysys with load shifting
DSM Constraints
• The number of devices shifted cannot be a negative value
• The number of devices shifted away from a time step cannot be more
than the number of devices available for control at that time step.
• Connection times of devices can only be delayed,and not brought
forward.
• The devices cannot be delayed more than a predefined maximum
limit.

10. Typical Simulation results
• Objective is set by the utility

11. Typical Simulation results
• Objective is set by the consumer

12. Typical Simulation results
• Multi objective demand side management

13. Comparison between single and multi objective
DSM strategies

14. Utility driven demand side management using DC
microgrid
• This method investigates the opportunities associated for utilities to
optimize industrial demand for smart AC and DC microgrid environment
thus facilitating distribution utility to reduce peak energy on the existing
AC distribution system.
• DC loads are catered from the DC microgrid, consists of solar renewable
generation and battery storages.
• Load shifting DSM strategy is implemented to minimize the gap between
actual load curve and objective load curve, utility desired ,as mentioned
in single objective DSM.

15. System with out DC micro grid System with DC microgrid

16. Conclusion
• Demand side management has potential to provide many benefits to
the entire smartgrid, particularly at distribution network level.
• Load shifting DSM strategy is more reliable
• Multi objective DSM strategy provides more peak load reduction
compared to single objective DSM
• DSM using DC microgrid with battery storage is promising solution to
feed the loads at peak hours of the present distribution system in
order to get more load reduction.

17. Demand response analysis of Smart Grid
• What is Demand Response?
The US department of energy defined DR as “a tariff or program
established to motivate charges in electric use by end-use
customers,in response to changes in the price of electricity over
time,or to give incentive payments designes to induce lower
electricity use at times of high market prices or when grid reliability
is jeoparadized.”
• Main difference between DSM and DR-DSM is performed only at
utility level where as DR is performed at both utility and consumer
level separately and/or together to achieve a low peak load curve
and reduced electricity cost

18. Main Aims of Demand Response Analysis
Minimization of the total electricity consumption
Reduction of the total required power generation
Promote the idea of green and clean energy
 Elimination of line overloading

19. Demand Response process

20. Demand response process

21. DR Applicability on Different Consumer
 Industrial Consumers
• High energy consumers with peak load of few
MW
• Load have critical temporal dependencies,and
must be scheduled with high time precision.
• Thus DR program should capable of monitor and
control the loads in millisecond time scale.
• Furthermore, security issues are particularly
important as the load profiles or load shapes is
highly confidential and competion-sensitive

22. DR Applicability on Different Consumer
Commercial Consumers
Main power consuming equipment are
heating,ventilation and Air-
Conditioning(HVAC), lighting systems and
electronic devices.
The reduction of the power consumption can
be achieved byy either the adoption of energy
efficient building technologies,and/or by the
control of the building’s energy consumption
behaviour through price elasticity of power
demand

23. DR Applicability on Different Consumer
 Residential Consumers
• DR program applied on residential customers are specially named as
HOME ENERGY MANAGEMENT SYSTEM
• Residential DR programs are most complicated
because residential load is mixture of different kinds
of appliances,viz.
Critical (Refrigerator)
Thermostatically controllable (A heater)
Deferrable but non-interruptible(Washing machine)
Deferrable and interruptible (dryer,electric vehicle)
• The DR program should provide plenty amount of
incentives.

24. DR communication Requirements
Quality of service (QoS)
Interoperability
Scalability and Flexibility
Security

25. DR Optimisation Objectives
Minimization of electricity cost.
Maximization of Social Welfare.
Minimization of Aggregator’s Power Consumption.
Minimization of both Electricity Cost and Aggregator’s Power
consumption.
Both the maximization of social welfare and minimization of
aggregated power consumption.

26. Classification of DR programs

27. DR Based on Control Strategies

28. DR Based on Control Strategies

29. DR Based on Price

30. DR Based on Load

31. Conclusion
Successful implementation of DR program is possible if the users
participates into it willingly without compromising with their
comfortable life style
DR program does not ensure same amount of benefit for all the
participating players i.e, some may be incentivized whwre as some
can receive penality.
The employment of DR relies on the reliable,robust and secure
communication system.
Choice of efficient energy price structure is the main key factor to
attract the users towards DR programs.