考虑可再生能源不确定性的热-电耦合微能源系统多目标鲁棒规划方法

doi:10.11930/j.issn.1004-9649.202010037

中国电力 ›› 2021, Vol. 54 ›› Issue (4): 119-129,140.DOI: 10.11930/j.issn.1004-9649.202010037

• 区域综合能源系统规划与运行技术专栏 • 上一篇下一篇

考虑可再生能源不确定性的热-电耦合微能源系统多目标鲁棒规划方法

张敏¹, 王金浩¹, 常潇¹, 杨超颖², 李冉¹, 孙昌雯¹, 樊瑞¹

1. 国网山西省电力公司电力科学研究院, 山西太原 030001;
2. 国网山西省电力公司, 山西太原 030021

收稿日期:2020-10-14 修回日期:2021-02-25 发布日期:2021-04-23
作者简介:张敏(1988-),女,通信作者,硕士,高级工程师,从事新能源及储能并网技术、电能质量技术研究,E-mail:zhangmin_19@126.com;王金浩(1975-),男,硕士,高级工程师(教授级),从事新能源发电及智能电网技术研究,E-mail:1623884364@qq.com;常潇(1987-),男,博士,工程师,从事新能源发电及储能技术研究,E-mail:334690242@qq.com
基金资助:
国家社会科学基金重大项目(19ZDA081)；国网山西省电力公司科技项目(52053018000P)

A Multi-objective Robust Planning Method for Thermal-Electrical Coupling Micro-energy System Considering the Uncertainty of Renewable Energy

ZHANG Min¹, WANG Jinhao¹, CHANG Xiao¹, YANG Chaoying², LI Ran¹, SUN Changwen¹, FAN Rui¹

1. State Grid Shanxi Electric Power Research Institute, Taiyuan 030001, China;
2. State Grid Shanxi Electric Power Company, Taiyuan 030021, China

Received:2020-10-14 Revised:2021-02-25 Published:2021-04-23
Supported by:
This work is supported by National Social Science Fund of China (No.19ZDA081) and Science and Technology Project of State Grid Shanxi Electric Power Company (No.52053018000P)

摘要/Abstract

摘要： 由于可再生能源出力具有高度随机性和间歇性，其大规模并网会严重影响电力系统的安全稳定运行。为促进可再生能源消纳，可通过大力发展热-电耦合微能源系统解决此问题。为此，提出一种考虑风电不确定性的热-电耦合微能源系统多目标鲁棒规划方法。以投资运行成本最小及系统峰谷波动最小为目标，构建热-电耦合微型综合能源系统多目标鲁棒规划模型。采用NSGA-II和TOPSIS相结合的求解算法实现多目标问题求解。仿真结果表明，该方法可以提高风电利用率和系统经济性，对于工程应用有一定的参考价值。

关键词: 热-电耦合微能源系统, 不确定性, 多目标优化, 鲁棒规划

Abstract: Due to the high randomness and intermittency of renewable energy, the large-scale connection of renewable energy to the power grid will seriously affect the security and stability of the power system. This problem can be solved by developing thermo-electrical coupling micro-energy systems. A multi-objective robust planning method is therefore proposed for thermo-electrical coupling micro-energy system with consideration of wind power uncertainty. With the minimum investment & operation cost and minimum system peak-valley fluctuation as the goal, a multi-objective robust planning model is established for thermo-electrical coupling micro integrated energy system. The multi-objective problem is solved using the combined NSGA-II and TOPSIS algorithm. The simulation results show that the proposed method can improve the utilization rate of wind power and increase the system economy, and has a certain value for engineering applications.

Key words: thermal-electrical coupling micro-energy system, uncertainty, multi-objective optimization, robust planning

张敏, 王金浩, 常潇, 杨超颖, 李冉, 孙昌雯, 樊瑞. 考虑可再生能源不确定性的热-电耦合微能源系统多目标鲁棒规划方法[J]. 中国电力, 2021, 54(4): 119-129,140.

ZHANG Min, WANG Jinhao, CHANG Xiao, YANG Chaoying, LI Ran, SUN Changwen, FAN Rui. A Multi-objective Robust Planning Method for Thermal-Electrical Coupling Micro-energy System Considering the Uncertainty of Renewable Energy[J]. Electric Power, 2021, 54(4): 119-129,140.

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https://www.electricpower.com.cn/CN/Y2021/V54/I4/119

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考虑可再生能源不确定性的热-电耦合微能源系统多目标鲁棒规划方法

A Multi-objective Robust Planning Method for Thermal-Electrical Coupling Micro-energy System Considering the Uncertainty of Renewable Energy

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考虑可再生能源不确定性的热-电耦合微能源系统多目标鲁棒规划方法

A Multi-objective Robust Planning Method for Thermal-Electrical Coupling Micro-energy System Considering the Uncertainty of Renewable Energy

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