| 引用本文: | 白 浩,袁智勇,周长城,等.计及新能源波动与相关性的配电网最大供电能力调度方法[J].电力系统保护与控制,2021,49(8):66-73.[点击复制] |
| BAI Hao,YUAN Zhiyong,ZHOU Changcheng,et al.Dispatching method of maximum power supply capacity of a power distributed network considering fluctuation and correlation of renewable energy[J].Power System Protection and Control,2021,49(8):66-73[点击复制] |
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| 摘要: |
| 配电网中分布式电源的出力由于波动具有不确定性与相关性，会对配电网的调度方案产生深远影响。为了研究新能源出力的波动对配电网在最大供电能力下调度方案的影响，采用数据驱动技术构建了新能源出力不确定集。随后构建了考虑新能源出力最差情况下的配电网双层鲁棒优化调度模型。下层模型以发电成本最低为目标，使得调度结果具有较好的经济性。上层模型考虑新能源出力不确定性最差情况，使得调度结果具有较强的鲁棒性。通过KKT条件将双层模型简化为单层，并以重复潮流法进行迭代，最终得到计及新能源波动的配电网最大供电能力调度方法。通过仿真验证了该算法的有效性与经济性，并得到了提高配电网最大供电能力的运行策略。 |
| 关键词: 新能源 鲁棒分析 不确定性 数据驱动 双层优化调度 |
| DOI：DOI: 10.19783/j.cnki.pspc.200761 |
| 修订日期：2020-08-21 |
| 基金项目:南方电网科技项目资助(ZBKJXM20180068) |
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| Dispatching method of maximum power supply capacity of a power distributed network considering fluctuation and correlation of renewable energy |
| BAI Hao1,YUAN Zhiyong1,ZHOU Changcheng1,PAN Shuhui1,YE Linhao2,CAI Jianyi1 |
| (1. Electric Power Research Institute of CSG, Guangzhou 510663, China;
2. China Southern Power Grid Co., Ltd., Guangzhou 510663, China) |
| Abstract: |
| The uncertainty and correlation of distributed renewable energy generators caused by fluctuation has a large impact on power distribution system dispatch. To study the impact on the dispatch strategy of the distribution system considering maximum power supply capacity, this paper builds an uncertainty set of renewable energy output using a data-driven technique. A bi-level robust optimization dispatch model is established considering the worst scenario of renewable energy output. The lower model aims to minimize the generating cost and thus improves the economy of the dispatch strategy. The upper model takes the worst scenario of the renewable energy output into account and improves the robustness of the dispatch strategy. The proposed bi-level model is simplified into a single model by KKT conditions. Then, the single model considers the uncertainties of renewable energy and the maximum power supply capacity and uses a repeat power flow algorithm. The simulation results demonstrate that the proposed method is effective and economical, and helps to improve the maximum power supply capacity of the distribution system.
This work is supported by the Science and Technology of China Southern Power Grid (No. ZBKJXM20180068). |
| Key words: new energy robust analysis uncertainty data-driven bi-level optimization |
