Multi-Objective Optimal Dsipatching Model of Electricity Retailers with Distributed Generator under Energy Deviation Penalty
Zhang Tao1, Wang Cheng1, 2, Wang Lingyun1, Wang Yalei3, Lei Shuiping4
1. College of Electrical Engineering and New Energy Three Gorges University Yichang 443002 China; 2. Jinzhou Power Supply Company of State Grid Hubei Jinzhou 434000 China; 3. State Grid Hubei Economic Research Institute Wuhan 430077 China; 4.Yichang Power Supply Company of State Grid Hubei Yichang 443000 China
Abstract：Energy deviation penalty is a key factor that affecting the profit of electricity retailers, electricity retailers with DG can balance the energy deviation by schedulable resources, but this may cause an impact on the stability of the power grid operation. How to reduce the energy deviation as much as possible and increase the profits of the electricity retailers while improving the operation stability of system are demanding prompt solve. Taking the maximum operation profits of electricity retailers and the minimum voltage excursion as optimization objectives, a multi-objective optimization scheduling model for electricity retailers is established. In order to obtain a more reasonable strategy of day-ahead purchase and output pareto optimal solution set, an iterative solution of the model can be achieved by NSGA-II under the convergence criterion of minimum energy deviation. Finally, the simulation test is carried out on the modified IEEE 33-node distribution system under various scenarios. The results shows that the method proposed in this paper can reduce the energy deviation penalty expenditure of electricity retailers effectively, and realize the maximization of operation profits of electricity retailers while improving the operation stability of system.
张涛, 王成, 王凌云, 王娅镭, 雷水平. 偏差电量考核机制下含DG的售电公司多目标优化调度模型[J]. 电工技术学报, 2019, 34(15): 3265-3274.
Zhang Tao, Wang Cheng, Wang Lingyun, Wang Yalei, Lei Shuiping. Multi-Objective Optimal Dsipatching Model of Electricity Retailers with Distributed Generator under Energy Deviation Penalty. Transactions of China Electrotechnical Society, 2019, 34(15): 3265-3274.
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2019, Vol. 34 
