PSO-Based Optimal Dispatch Considering Demand Response as a Power Resource. | ||||
| MEJ- Mansoura Engineering Journal | ||||
| Article 1, Volume 41, Issue 1, March 2016, Page 1-6 PDF (744.6 K) | ||||
| Document Type: Research Studies | ||||
| DOI: 10.21608/bfemu.2020.99324 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Ibrahim Ibrahim Mansy1; Ahmed Youssef Hatata2; H. W. Elsayyad* 3 | ||||
| 1Electrical Engineering Department, Mansoura University, Egypt | ||||
| 2associated professor in Electric Engineering Dept., Faculty of engineering, Mansoura Univ., Egypt | ||||
| 3Electrical Engineering Department, Mansoura University, Mansoura 35516, Egypt | ||||
| Abstract | ||||
| Demand Response (DR) is the reduction in electric energy by the consumers from their normal consumption due to change in electricity price over time or responding to operator order when system reliability is jeopardized. This paper proposes the reduction in consumption as a virtual generation added to the system and it can be treated as a demand resource for optimal dispatch. DR cost function is proposed which looks like the cost function for conventional generation to make an optimal combination between both DR and conventional generators, to operate the power system. Particle swarm optimization (PSO) technique is used to get the optimal load dispatch considering DR as a demand resource. The optimal dispatch is obtained using MATLAB software by determining the operating cost of 6- bus distribution system with five generators and four DR. | ||||
| Keywords | ||||
| Demand Response (DR); Virtual generation; Marginal cost; Power system reliability & Particle Swarm Optimization (PSO) | ||||
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