Optimal Dispatch for Microgrid with Demand Response using PSO
Ch. Leela Sowjanya1, P. Kantarao2
1Ch. Leela Sowjanya, Department of Electrical & Electronics Engineering, SRKR Engineering College, (Andhra Pradesh), India.
2P. Kantarao, Department of Electrical & Electronics Engineering, SRKR Engineering College, (Andhra Pradesh), India.
Manuscript received on 11 May 2019 | Revised Manuscript received on 05 June 2019 | Manuscript Published on 15 June 2019 | PP: 93-99 | Volume-8 Issue-1S3 June 2019 | Retrieval Number: A10180681S319/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper, we perform economic load dispatch for microgrid. The Microgrid consists of three conventional generators and a solar power source and a wind power source and three rural consumers. Along with the economic load dispatch we have performed demand response for the given microgrid. we have used incentive based demand response for the microgrid. The objective function is to minimize the conventional diesel generators fuel cost, minimize the transaction cost of transferable power between microgrid and power grid and to increase the benefit of utility. The Optimization strategy used in this paper is particle swarm optimization (PSO) in which the problem moves to best by eliminating all the worst solutions. Results show that consumers curtail certain amount of power and relieving that power from the microgrid will bring optimality at both supply and demand side and optimal power for the three conventional generators and transferable power so that the optimal cost is obtained.
Keywords: Demand Response, Economic Load Dispatch, Microgrid, Particle Swarm Optimization(PSO).
Scope of the Article: Swarm Intelligence