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| Robust Optimal Scheduling for Active Distribution Network Based on Improved Uncertain Boundary |
| Ye Chang1,2, Miao Shihong1,2, Li Yaowang1,2, Li Chao1,2, Xu Bin3 |
1. State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan 430074 China;
2. Hubei Electric Power Security and High Efficiency Key Laboratory School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan 430074 China;
3. Electric Power Research Institute of State Grid Anhui Electric Power Company Hefei 230601 China |
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Abstract In view of the uncertainty of renewable energy generations (REGs) in active distribution network (ADN), an adjustable robust optimal scheduling strategy was proposed for ADN based on improved uncertain boundary. Firstly, adjustable robust optimization method was introduced and a robust optimization economic scheduling model was established for ADN which contains compressed air energy storage system and flexible loads. Through linear duality theory and Lagrange transformation, the robust optimization model with uncertain variables was turned into mixed integer optimization problems, which contains only certain variables and can be solved by conventional solutions. Meanwhile, a decision making method for the price of robustness was proposed based on an improved uncertain boundary. Then quantitative analysis was also done for the maximum confidence of constraints with uncertain variables. The proposed improved boundary improves the conservativeness of the existing robust boundary and has better solution characteristics. Finally, The results illustrate the availability and reasonability of the proposed strategy.
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Received: 06 July 2018
Published: 12 October 2019
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2019, Vol. 34 
