Optimization of renewable energy consumption strategies in electricity trading market based on particle swarm optimization algorithm

doi:10.3969/j.issn.2097-0706.2025.05.009

Abstract

Abstract:

In the context of the electricity trading market， optimizing renewable energy consumption strategies is an important approach for improving the efficiency of renewable energy utilization. The integrated scheduling of photovoltaic （PV） and thermal power generation was taken as the research subject. An electricity trading system model was established， and the scheduling strategy was optimized using the particle swarm optimization（PSO）algorithm. Through simulation of PV power generation data and electrical load datasets， the objective functions and constraints were set， and the practical effects of the optimized strategy were analyzed. The results showed that reasonable coordinated scheduling of PV and thermal power generation not only significantly improved consumption efficiency of renewable energy generation but also enhanced the stability and economic efficiency of the power system. The effectiveness of the PSO algorithm in optimizing renewable energy consumption strategies was validated. It provides a theoretical basis and practical guidance for electricity market reform and renewable energy utilization.

Key words: particle swarm optimization algorithm, renewable energy consumption, electricity market, trading strategy, spot trading

CLC Number:

TK01：TM614

ZHANG Zhongming, YI Bingxing, ZHAO Hailing, ZHAO Xiaoye, LI Changfeng, SUN Jiang, ZHAO Qihe. Optimization of renewable energy consumption strategies in electricity trading market based on particle swarm optimization algorithm[J]. Integrated Intelligent Energy, 2025, 47(5): 84-90.

Figures/Tables 9

Fig.1

Fig.2

Fig.3

Fig.4

Fig.5

Table 1

Simulation parameter settings

参数	设置值
光伏阵列总容量/MW	200
光伏面板太阳追踪模式	单轴追踪
光伏面板倾角/（°）	44
$a t, h$	0.001
$a t, m$	0.000 4
$σ 1$ , $σ 2$	1 000,1 000
实际输出与预测之间的偏差	±20%

Table 1

Table 2

Fig.6

Fig.7

References 27

[1]	冯逸超, 种高雅. 各国新能源产业补贴政策和力度比较研究[J]. 西部金融, 2024(3): 28-33.
	FENG Yichao, ZHONG Gaoya. Comparative study on subsidy policies and efforts for new energy industries in various countries[J]. West China Finance, 2024(3): 28-33.
[2]	TIAN W, HUANG J P, YAN C H, et al. Role and inspiration of legal and policy in the development of U.S. electricity market[C]// Proceedings of 2018 China International Conference on Electricity Distribution (CICED). IEEE, 2018: 2846-2851.
[3]	龚一平, 王晨晖, 修晓青, 等. 大规模储能技术及多功能应用研究综述[J]. 供用电, 2023, 40(2): 68-77.
	GONG Yiping, WANG Chenhui, XIU Xiaoqing, et al. Overview of large-scale energy storage technology and multi-function application[J]. Distribution and Utilization, 2023, 40(2): 68-77.
[4]	张继阳, 郑秀, 赵斌, 等. 电网级大规模储能的电池技术进展[J]. 电池, 2024, 54(5): 745-750.
	ZHANG Jiyang, ZHENG Xiu, ZHAO Bin, et al. Progress in battery technology for large-scale grid-level energy storage[J]. Battery Bimonthly, 2024, 54(5): 745-750.
[5]	费思源, 罗阳. 电动汽车大规模接入对上海电网影响及应对策略[J]. 供用电, 2018, 35(9): 9-15.
	FEI Siyuan, LUO Yang. Impacts and coping strategies of large scale electric vehicle integration into Shanghai power grid[J]. Distribution and Utilization, 2018, 35(9): 9-15.
[6]	袁泉, 汤奕. 考虑路电耦合的电动汽车集群多时间尺度低碳协同调控策略[J]. 电网技术, 2024, 48(12): 4969-4979.
	YUAN Quan, TANG Yi. Multi-time scale decarbonization coordination strategy of electric vehicle fleets considering transportation and electricity coupling[J]. Power System Technology, 2024, 48(12): 4969-4979.
[7]	侯鹏飞, 吴杰. 电动汽车充电网络发展的问题和对策[J]. 大数据时代, 2024(6): 51-55.
	HOU Pengfei, WU Jie. Problems and strategies in the development of electric vehicle charging network[J]. Big Data Time, 2024(6): 51-55.
[8]	魏景东, 郭雁珩, 冯泽深. 我国可再生能源绿色电力证书发展现状与展望[J]. 水力发电, 2025, 51(2): 1-5, 107.
	WEI Jingdong, GUO Yanheng, FENG Zeshen. Status and prospect of China's green electricity certificate[J]. Water Power, 2025, 51(2): 1-5, 107.
[9]	张跃龙, 辛力, 赵建平, 等. 绿色电力交易体系及其在蒙西地区的建设实践[J]. 内蒙古电力技术, 2024, 42(5): 3-12.
	ZHANG Yuelong, XIN Li, ZHAO Jianping, et al. Green power trading system and its construction practice in western area of Inner Mongolia[J]. Inner Mongolia Electric Power, 2024, 42(5): 3-12.
[10]	叶幸, 邱辰, 艾琳, 等. “双碳”目标下可再生能源绿色电力证书与碳交易衔接机制的思考[J/OL]. 综合智慧能源,1-9 (2024-09-05) [2025-04-02]. http://kns.cnki.net/kcms/detail/41.1461.TK.20240904.1056.006.html.
	YE Xing, QIU Chen, AI Lin, et al. The research of the the connection mechanism between the green electricity certificate and carbon trading under the "double carbon" goal[J]. Integrated Intelligent Energy,1-9 (2024-09-05) [2025-04-02]. http://kns.cnki.net/kcms/detail/41.1461.TK.20240904.1056.006.html.
[11]	黄国日, 冷媛, 尚楠, 等. 绿证交易、可再生能源投资及其消纳[J]. 生态经济, 2024, 40(10): 181-189.
	HUANG Guori, LENG Yuan, SHANG Nan, et al. Green certificate trading, renewable energy investment and its consumption[J]. Ecological Economy, 2024, 40(10): 181-189.
[12]	李强. 中国售电侧市场化改革的绿色经济效应研究: 基于省级面板数据的实证检验[D]. 太原: 山西财经大学, 2023.
	LI Qiang. Study on the green economy effect of the market-oriented reform of power sales side in China: An empirical test based on provincial panel data[D]. Taiyuan: Shanxi University of Finance and Economics, 2023.
[13]	邹诚悦. “双碳”背景下绿色电力交易监管制度研究[D]. 上海: 华东政法大学, 2023.
	ZOU Chengyue. Research on the supervision system of green power trading under the background of "double carbon"[D]. Shanghai: East China University of Political Science and Law, 2023.
[14]	丛野, 张靖宇, 张粒子, 等. 与新型电力系统建设协同的输电定价机制量化评价方法[J/OL]. 中国电机工程学报, 1-14(2024-10-12) [2025-04-02]. http://kns.cnki.net/KCMS/detail/detail.aspx? filename=ZGDC20241009001&dbname=CJFD&dbcode=CJFQ.
	CONG Ye, ZHANG Jingyu, ZHANG Lizi, et al. Quantitative evaluation method of transmission pricing mechanism in coordination with new power system construction[J/OL]. Proceedings of the CSEE, 1-14(2024-10-12) [2025-04-02]. http://kns.cnki.net/KCMS/detail/detail.aspx? filename=ZGDC20241009001&dbname=CJFD&dbcode=CJFQ.
[15]	李金铠, 刘守临, 董战峰, 等. 面向新型电力系统的电力市场改革目标体系与政策仿真研究[J]. 煤炭经济研究, 2025, 45(2): 104-115.
	LI Jinkai, LIU Shoulin, DONG Zhanfeng, et al. Research on the objective system and policy simulation of electricity market reform for new electricity system[J]. Coal Economic Research, 2025, 45(2): 104-115.
[16]	段晓磊, 王宇飞, 魏云峰, 等. 考虑新能源消纳的配电网中分布式光伏及储能联合优化配置[J/OL]. 现代电力,1-14(2024-12-03) [2025-04-02].https://doi.org/10.19725/j.cnki.1007-2322.2023.0441.
	DUAN Xiaolei, WANG Yufei, WEI Yunfeng, et al. DPV and HESS joint optimal configuration in distribution network considering renewable energy consumption[J]. Modern Electric Power,1-14(2024-12-03) [2025-04-02].https://doi.org/10.19725/j.cnki.1007-2322.2023.0441.
[17]	吉斌, 李永刚, 昌力, 等. 我国“控碳”趋势下的碳-电市场机制衔接分析[J/OL]. 综合智慧能源,1-11(2024-11-01) [2025-04-02]. http://kns.cnki.net/kcms/detail/41.1461.TK.20241101.1022.004.html.
	JI Bin, LI Yonggang, CHANG Li, et al. Analysis on the connection of carbon-electricity market mechanism under the trend of "carbon control" in China[J/OL]. Integrated Intelligent Energy,1-11(2024-11-01) [2025-04-02]. http://kns.cnki.net/kcms/detail/41.1461.TK.20241101.1022.004.html.
[18]	赵琮皓, 周俊, 李健, 等. 计及源-网-荷-储灵活调节资源的新能源合理利用率评估方法[J/OL]. 电网技术,1-12(2024-11-07) [2025-04-02].https://doi.org/10.13335/j.1000-3673.pst.2024.1360.
	ZHAO Conghao, ZHOU Jun, LI Jian, et al. Evaluation method for reasonable utilization rate of new energy considering flexible regulation resources of source-grid-load-storage[J/OL]. Power System Technology,1-12(2024-11-07) [2025-04-02].https://doi.org/10.13335/j.1000-3673.pst.2024.1360.
[19]	NELSON T, MCCRACKEN-HEWSON E, WHISH-WILSON P, et al. Price dispersion in Australian retail electricity markets[J]. Energy Economics, 2018, 70: 158-169.
[20]	曹安国, 邓征, 王涛. 发电企业电力市场营销管理体制的相关思考[J]. 上海节能, 2024(1): 8-14.
	CAO Anguo, DENG Zheng, WANG Tao. Relevant thoughts on the marketing management system of power generation enterprises in the electricity market[J]. Shanghai Energy Saving, 2024(1): 8-14.
[21]	王尧, 王彬彬, 梁燕, 等. 创新电力零售市场价格机制研究[J]. 太原理工大学学报, 2024, 55(1): 84-92.
	WANG Yao, WANG Binbin, LIANG Yan, et al. Research on the price mechanism of innovative electricity retail market[J]. Journal of Taiyuan University of Technology, 2024, 55(1): 84-92.
[22]	袁浩, 董晓亮, 刘强, 等. 全国统一电力市场体系下电力零售侧市场框架设计[J]. 电网技术, 2022, 46(12): 4852-4862.
	YUAN Hao, DONG Xiaoliang, LIU Qiang, et al. Electricity retail side market framework design in national unified electricity market system[J]. Power System Technology, 2022, 46(12): 4852-4862.
[23]	黄晓凡, 李佳瑞, 刘晖, 等. 梯次利用动力电池储能系统综合效益分析[J]. 综合智慧能源, 2024, 46(7): 63-73. doi: 10.3969/j.issn.2097-0706.2024.07.008
	HUANG Xiaofan, LI Jiarui, LIU Hui, et al. Comprehensive benefit analysis on the cascade utilization of a power battery system[J]. Integrated Intelligent Energy, 2024, 46(7): 63-73. doi: 10.3969/j.issn.2097-0706.2024.07.008
[24]	WANG D S, TAN D P, LIU L. Particle swarm optimization algorithm: An overview[J]. Soft Computing, 2018, 22(2): 387-408.
[25]	杨维, 李歧强. 粒子群优化算法综述[J]. 中国工程科学, 2004, 6(5): 87-94.
	YANG Wei, LI Qiqiang. Survey on particle swarm optimization algorithm[J]. Engineering Science, 2004, 6(5): 87-94.
[26]	谢龙绛, 叶子恒, 徐龙艳. 基于改进粒子群算法的两区域互联电力系统负荷频率控制[J]. 电工材料, 2025(1): 62-69, 73.
	XIE Longjiang, YE Ziheng, XU Longyan. Load frequency control of two area interconnected power system based on improved particle swarm optimization algorithm[J]. Electrical Engineering Materials, 2025(1): 62-69, 73.
[27]	王晓燕, 吴书泉. 基于改进粒子群优化算法的源网荷储系统容量配置研究[J]. 综合智慧能源, 2024, 46(9): 28-36. doi: 10.3969/j.issn.2097-0706.2024.09.004
	WANG Xiaoyan, WU Shuquan. Research on capacity allocation for source-grid-load-storage systems based on improved PSO[J]. Integrated Intelligent Energy, 2024, 46(9): 28-36. doi: 10.3969/j.issn.2097-0706.2024.09.004

参数	值
x_m	10^-9
y_m	0.31
x_h	10^-9
y_h	0.29
w	0.83
p^t/[元·（MW·h）^-1]	1