Distributed Generation and Demand Response Coordination for Optimal Operation of Microgrid Using Modified Elephant Herd Optimization

Abstract

The optimal operation and coordination of distributed generation (DG) sources and demand response (DR) programs help to minimize the operating cost of microgrids along with other mutual benefits. The model is developed, and the multiobjective problem subjected to the set of constraints is solved by using the modified elephant herd optimization (MEHO) technique in this work. The expected output of the model is the optimal generation scheduling plan of both the dispatchable and non-dispatchable DG and optimized cost for the isolated microgrid operation. The other objectives related to the environmental aspects and reliability are also considered for optimization. DG operation is coordinated with the day ahead DR programs to minimize the costs while satisfying the operation limits of the DG sources and consumer demand. The novelty of the work lies in finding the optimal solution considering the multiobjective for optimal DG operation and analyzing the impact of different types of DR programs on microgrid operation by the MEHO technique. The effectiveness of the proposed model and validity of the algorithm is further tested on a 14 bus microgrid benchmark system. Through simulation and optimization results it is observed that the proposed algorithm has less computational time and better accuracy.

Keywords:

• demand response
• distributed generation sources
• elephant herd optimization
• microgrid
• scheduling

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Jayesh Priolkar

Jayesh Priolkar received his B.E. degree in electrical engineering from Goa College of Engineering, Ponda, India in 2000 and the M.Tech. degree in Energy Systems Engineering from the Indian Institute of Technology Bombay, Mumbai, India in 2012. He is currently pursuing a Ph.D. at the Department of Electrical and Electronics Engineering, National Institute of Technology Goa, Ponda, India. His areas of interest are renewable energy system, smart grids, and energy management.

Sreeraj E. S.

Sreeraj E. S. received his B.Tech. degree in electrical and electronics engineering from Regional Engineering College, Calicut, India, in 2001, and the M.Tech. degree in energy systems engineering and Ph.D. degree in electrical engineering from the Indian Institute of Technology Bombay, Mumbai India, in 2006 and 2013. He is working as an Associate Professor with the Department of Electrical and Electronics Engineering, National Institute of Technology Goa, Ponda, India. His research interests include renewable energy system modeling and power electronic converters.