考虑电源灵活性和互补性的多能源电力系统日前优化调度

doi:10.3969/j.issn.1008-0198.2023.04.003

湖南电力 ›› 2023, Vol. 43 ›› Issue (4): 16-23.doi: 10.3969/j.issn.1008-0198.2023.04.003

考虑电源灵活性和互补性的多能源电力系统日前优化调度

肖白, 张博

东北电力大学电气工程学院,吉林吉林132012

收稿日期:2023-06-06 修回日期:2023-07-03 出版日期:2023-08-25 发布日期:2023-09-07
通信作者: 肖白(1973),男,博士,教授,通信作者,主要研究方向为电力系统规划、空间电力负荷预测、多种能源互补协调发电、电价套餐设计、电能质量综合治理等。
作者简介:张博(1998),男,硕士研究生,研究方向为多种能源互补协调发电。
基金资助:
国家重点研发计划项目(2017YFB0902205);吉林省产业创新专项基金项目(2019C058-7)

Ahead Optimal Dispatch of Multi Energy Power System Considering Power Flexibility and Complementarity

XIAO Bai, ZHANG Bo

School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China

Received:2023-06-06 Revised:2023-07-03 Online:2023-08-25 Published:2023-09-07

摘要/Abstract

摘要： 针对风电、光伏发电的波动性和间歇性,以及多能源电力系统的协调优化运行问题,提出一种考虑电源灵活性和互补性的多能源电力系统日前优化调度方法。首先,建立电源灵活性和互补性供需模型;然后,以火电运行的经济性和平稳性最优、污染物排放总量最小为优化目标构建风、光、水、气、火、储多目标协调分层优化调度模型,定义可再生能源互补电源和电源互补需求指标,通过确定可再生能源互补电源的聚合比使电源互补需求指标最小;最后,通过引入动态概率和制定蜂群最优引导策略对人工蜂群算法进行改进,并使用该改进人工蜂群算法对所建立的优化调度模型进行求解。算例结果表明,所提出的模型和算法对多能源互补协调调度问题具有可行性。

关键词: 多能源电力系统, 灵活性, 多能互补, 优化调度, 人工蜂群算法

Abstract: A multi energy power system day ahead optimization scheduling method considering power flexibility and complementarity is proposed to address the volatility and intermittency of wind and photovoltaic power generation, as well as the coordinated and optimized operation of multi energy power systems. Firstly, a supply and demand model for power flexibility and complementarity is established. Then, a multi-objective coordinated hierarchical optimization scheduling model for wind power, solar power, hydroenergy, gas energy, and thermal power,energy storage storage is constructed with the optimization objectives of optimizing the economy and stability of thermal power operation, and minimizing the total pollutant emissions. Renewable energy complementary power sources and complementary power demand indicators are defined, and the aggregation ratio of renewable energy complementary power sources is determined to minimize the complementary power demand indicators. Finally, the artificial bee colony algorithm is improved by introducing dynamic probability and developing the optimal guidance strategy for the bee colony, and the improved artificial bee colony algorithm is used to solve the established optimization scheduling model. The numerical results show that the proposed model and algorithm are feasible for the multi energy complementary coordinated scheduling problem.

Key words: multi-energy power system, flexibility, multi-energy complementary, optimal scheduling, improved artificial bee colony algorithm

中图分类号:

TM731

肖白, 张博. 考虑电源灵活性和互补性的多能源电力系统日前优化调度[J]. 湖南电力, 2023, 43(4): 16-23.

XIAO Bai, ZHANG Bo. Ahead Optimal Dispatch of Multi Energy Power System Considering Power Flexibility and Complementarity[J]. Hunan Electric Power, 2023, 43(4): 16-23.

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考虑电源灵活性和互补性的多能源电力系统日前优化调度

Ahead Optimal Dispatch of Multi Energy Power System Considering Power Flexibility and Complementarity

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