A Survey on Demand Side Management In Electrical Power Systems

Ahmed M. Ibrahim*, Mahmoud Abdallah Attia**, Mahmoud M. Othman***, Almoataz Y. Abdelaziz****
* Electrical Design Engineer, Engineering Consultants Group, Cairo, Egypt.
** Department of Electrical Power and Machines, Faculty of Engineering, Ain Shams University, Cairo, Egypt.
*** Assistant Professor, Department of Electrical Power Engineering, Ain Shams University, Cairo, Egypt.
**** Professor, Department of Electrical Power Engineering, Ain Shams University, Cairo, Egypt.
Periodicity:February - April'2017
DOI : https://doi.org/10.26634/jps.5.1.13536

Abstract

This paper presents a survey on Demand Side Management techniques used to reduce the energy waste, postpone the construction of new plants, reduce costs or electricity bill, and reduce total power demand during peak demand periods. One of the major goals of DSM is reducing consumption during peak hours and shifting load to off-peak hours. Several algorithms and techniques for load shifting have been reported in researches. Different approaches have been suggested to solve the demand response problem using linear and dynamic programming techniques. There are different types of optimization techniques as Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Evolutionary Algorithm (EA), Game theoretic techniques and others. Researches are performed on different optimization techniques to reduce peak load demand, reduce operational cost, reduce PAR (Peak to Average Ratio), and reduce the discrepancy between power supply and demand.

Keywords

DSM, Optimization, PAR, Operational Cost

How to Cite this Article?

Ibrahim, M. A., Attia, A. M., Othman, M. M., and Abdelaziz, Y. A. (2017). A Survey on Demand Side Management In Electrical Power Systems. i-manager’s Journal on Power Systems Engineering, 5(1), 40-50. https://doi.org/10.26634/jps.5.1.13536

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