| 引用本文: | 李 飞,李咸善,李振兴,张彬桥.基于梯级水电调节的多能联合发电系统短期优化调度[J].电力系统保护与控制,2022,50(15):12-20.[点击复制] |
| LI Fei,LI Xianshan,LI Zhenxing,ZHANG Binqiao.Short-term optimal scheduling of multi-energy combined generation systemsbased on the regulation of cascade hydropower stations[J].Power System Protection and Control,2022,50(15):12-20[点击复制] |
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| 摘要: |
| “碳中和”背景下，以新能源为主体的新型电力系统正在大力建设，而化石型调节电源占比的降低给大规模新能源消纳带来了严峻挑战。为此，提出了基于梯级水电调节的多能联合发电系统优化调度模型，以减小因新能源的接入而给电网带来的功率波动冲击，并缓解电网调节资源配备压力。该日前调度模型以梯级水电平抑新能源接入后的负荷波动最小和系统综合成本最低为双重目标。针对模型中高维复杂约束问题，提出了一种改进的NSGA-II算法。该算法对选择策略中设定的比例因子进行了改进，并将正态分布算子引入交叉过程，以保证种群的多样性并提升算法在空间上的搜索能力。仿真结果表明所提模型能利用梯级水电有效平抑新能源入网波动，并兼顾多能发电系统综合经济效益。通过比较各种算法的结果，改进NSGA-II算法帕累托解的质量更优，且分布更均匀。 |
| 关键词: 梯级水电调节 新能源消纳 多能联合系统 负荷波动 快速非支配排序遗传算法 |
| DOI：DOI: 10.19783/j.cnki.pspc.211389 |
| 投稿时间：2021-10-14修订日期：2021-11-16 |
| 基金项目:国家自然科学基金项目资助(52077120) |
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| Short-term optimal scheduling of multi-energy combined generation systemsbased on the regulation of cascade hydropower stations |
| LI Fei,LI Xianshan,LI Zhenxing,ZHANG Binqiao |
| (1. Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station, China Three
Gorges University, Yichang 443002, China; 2. College of Electrical Engineering & New Energy,
China Three Gorges University, Yichang 443002, China) |
| Abstract: |
| With the background of ‘carbon neutrality’, the developing of novel power systems based on new energy and the decrease of fossil energy proportion have brought severe challenges to the consumption of large-scale new energy. Therefore, an optimal scheduling model of multi-energy combined generation system based on cascade hydropower regulation is built to reduce the power fluctuation caused by new energy resources and alleviate the regulated pressure related to the upper grid. The proposed model is established with the dual objectives of minimizing the load fluctuations and the overall costs of the system. An improved NSGA-II is proposed to analyze the proposed model at high dimension and complexity. The proportional factor in the selection strategy is improved, and a normal distribution operator is introduced into the crossover process to ensure the diversity of the population and improve the search ability. The simulation results show that the proposed model with cascade hydropower can effectively suppress the fluctuations caused by the new energy accessing to the grid, and improve the overall economic benefits of multi-energy generation systems. By comparing the results of various algorithms, the improved NSGA-II has obtained superior quality and better distribution of the Pareto solutions.
This work is supported by the National Natural Science Foundation of China (No. 52077120). |
| Key words: cascade hydropower regulation new energy consumption multi-energy combined system load fluctuation NSGA-II |
