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| Fuzzy Random Day-Ahead Optimal Dispatch of DC Distribution Network Considering the Uncertainty of Source-Load |
| Jin Guobin1, Pan Di1, Chen Qing2,3, Shi Chao1, Li Guoqing1 |
1. Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin 132012 China;
2. State Grid Jiangsu Electric Power Co. Ltd Nanjing 210000 China;
3. Jiangsu Electric Power Company Research Institute Nanjing 211100 China |
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Abstract Aiming at the uncertainty of distributed renewable energy and typical DC load in DC distribution network, the uncertainty load model considering load self elasticity coefficient and demand response of electricity price is proposed. Considering the randomness of renewable energy, the highly schedulable units such as electric vehicle is converted into deterministic load by signing a day-ahead charging contract; A fuzzy random day-ahead optimal dispatching model is established, for achieving the objective of smoothest power of line between the distribution network and upper power grid, and the objective of minimum daily dispatching cost. The entropy weight method is used to determine the weights of the two objectives. Taking a DC distribution network as an example, the effectiveness and superiority of the optimal dispatching model are verified according to different scenarios, different photovoltaic output, different confidence levels and different signing rate of electric vehicle contracts.
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Received: 25 September 2020
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2021, Vol. 36 
