| 清洁能源利用最大化的电力系统优化调度 |
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| 引用本文： | 清洁能源利用最大化的电力系统优化调度.清洁能源利用最大化的电力系统优化调度[J].山东科学,2021,34(6):83-90. |
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| 作者姓名： | 清洁能源利用最大化的电力系统优化调度 |
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| 作者单位： | 1.南京理工大学 自动化学院,江苏 南京 2100942.国网山东省电力公司滨州市沾化区供电公司,山东 滨州 256800 |
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| 基金项目： | 国家自然科学基金(51977111) |
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| 摘 要： | 考虑到不同类型电源的出力特性及其之间的互补性和矛盾性,以系统成本最低、污染排放最少和清洁能源利用率最大为目标,建立了风电接入的水火风储联合发电系统的多目标优化调度模型,并将蒙特卡洛模拟与遗传算法结合,采用改进的39节点系统验证了所建立模型的有效性,水电和储能系统在不同情况下都能充分发挥其调节作用,平抑风电波动,并且减少了污染排放和弃风现象,较好地实现了各类资源的优化配置。
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| 关 键 词： | 风力发电 新能源电力 电力系统优化调度 |
| 收稿时间： | 2021-03-23 |
Optimal power system dispatch to maximize clean energy utilization |
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| ZHANG Xin-yu,BU Jing.Optimal power system dispatch to maximize clean energy utilization[J].Shandong Science,2021,34(6):83-90. |
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| Authors: | ZHANG Xin-yu BU Jing |
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| Institution: | 1. School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China2. State Grid Shandong Electric Power Company Binzhou Zhanhua Power Supply Company, Binzhou 256800, China |
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| Abstract: | Considering different types of power output characteristics and the complementarity and contradiction between them, a multiobjective optimal dispatching model is built for a power generation system that includes hydropower, thermal power, wind power, and an energy storage system. The proposed model is characterized by minimal system cost, minimal air pollution emission, and maximal clean energy utilization. A Monte Carlo simulation and a genetic algorithm are combined to validate the effectiveness of the proposed model using an improved 39-node system. Both the hydropower and energy storage system can fulfill their regulatory functions to the greatest extent in different situations, thus stabilizing the fluctuation of wind power, reducing air pollution emission and wind abandonment, and implementing the allocation of various types of energy sources. |
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| Keywords: | wind power new energy power optimal dispatch of power system |
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