考虑供电设备差异化报价的虚拟电厂电能量-调峰联合市场优化策略

doi:10.11930/j.issn.1004-9649.202412113

摘要/Abstract

摘要：

作为新能源参与电力市场的有效载体，虚拟电厂先进的市场机制和管控灵活性资源的策略成为亟须解决的关键问题。基于此，提出了考虑供电设备差异化报价机制的虚拟电厂电能量-调峰联合市场优化策略，针对含新能源虚拟电厂参与市场行为开展研究。首先，基于碳交易、绿证交易以及需求响应等因素，提出一种针对虚拟电厂内不同供电设备的差异化报价机制，合理引导虚拟电厂参与市场优化；其次，引入报价加密模型，实现各设备报价信息的隐私性；最后，结合联合优化公式和CPLEX求解器迭代求解双层模型，验证所提方法及模型在不同环境下的有效性和实用性。仿真结果表明：所提差异化报价机制降低了联合最优成本，最大降低幅度为50.34%，有效协调了虚拟电厂与联合市场之间的利益关系。

关键词: 虚拟电厂, 加密模型, 差异化报价机制

Abstract:

As an effective carrier for new energy to participate in the electric energy market, the advanced market mechanism and the strategy of controlling flexible resources have become the key problems that need to be solved. Based on this, this paper proposes the joint market optimization strategy of virtual power plant energy and peak regulation considering the differentiated quotation mechanism of power supply equipment, and carries out the participation market behavior of virtual power plants including new energy. Firstly, based on carbon trading, green certificate trading and demand response, a differentiated quotation mechanism for different power supply equipment in virtual power plant is proposed to reasonably guide virtual power plant to participate in the market optimization; secondly, to realize the privacy of the quotation information of each equipment; finally, double-layer model with joint optimization formula and CPLEX solver to verify the effectiveness and practicability of the proposed method and model in different environments. The simulation results show that the proposed differentiated quotation mechanism reduces the joint operation cost, with a maximum reduction of 50.34%, and effectively coordinates the interest relationship between the virtual power plant and the joint market.

Key words: virtual power plant, encryption model, differentiated quotation mechanism

中图分类号:

TM734

沈运帷, 岑闻雨, 周波. 考虑供电设备差异化报价的虚拟电厂电能量-调峰联合市场优化策略[J]. 中国电力, 2025, 58(7): 115-127.

SHEN Yunwei, CEN Wenyu, ZHOU Bo. Optimization Strategy for Virtual Power Plant Combined Electric Energy and Peak Regulation Market Considering Differentiated Quotation of Power Supply Equipment[J]. Electric Power, 2025, 58(7): 115-127.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202412113

https://www.electricpower.com.cn/CN/Y2025/V58/I7/115

图/表 22

图 1 VPP交易双层架构

Fig.1 Dual-layer frame work of VPP transaction

图 2 VPP参与电能量-调峰市场报价流程

Fig.2 The quotation process for VPP participating in electric energy-peak regulating joint market

图 3 联合最优解求解流程

Fig.3 The Joint optimal solution process

图 4 双层模型求解流程

Fig.4 Flowchart of double-layer model

图 5 电力市场需求和调峰需求

Fig.5 Electricity market and peak shaving demand

图 6 VPP1基础数据

Fig.6 Basic data of VPP1

图 7 VPP2和VPP3基础数据

Fig.7 Basic data of VPP2 and VPP3

图 8 双层模型迭代结果

Fig.8 Iteration results of double-layer model

图 9 VPP1各供电设备最优报价

Fig.9 Optimal quotation for each equipment in VPP1

图 10 VPP1最优运行计划

Fig.10 The optimal operation plan for VPP1

图 11 VPP2各供电设备最优报价

Fig.11 Optimal quotation for each equipment in VPP2

图 12 VPP2供电设备最优运行计划

Fig.12 Optimal operation plan for VPP2

图 13 VPP3各供电设备最优报价

Fig.13 The optimal quotation for each equipment in VPP3

图 14 VPP3供电设备最优运行计划

Fig.14 The optimal operation plan for VPP3

图 15 火电机组最优运行计划

Fig.15 The optimal operation plan for thermal power unit

图 16 最优出清计划

Fig.16 The optimal clearing plan

图 17 最优调峰报价

Fig.17 The optimal peak shaving quotation

图 18 调峰功率最优分配计划

Fig.18 The optimal peak shaving power allocation plan

图 19 VPP出清功率的正确性

Fig.19 The correctness of the VPP clearing power

图 20 不同场景下各设备报价均值

Fig.20 Average quotation value of each equipment in different scenarios

图 21 不同场景下各设备出清收益

Fig.21 Clear revenue of each equipment under different scenarios

表 1 双层模型的可行性分析

Table 1 Feasibility analysis of the bi-level model

VPP数量/台	参与报价设备数量	最优报价生成时间/s	模型求解时间/s	报价成功率/%
3	11	0.1201	1.67	100.00
9	33	0.1274	2.81	100.00
27	99	0.1349	6.03	98.99
81	297	0.2087	10.35	97.95
243	891	0.2763	20.96	97.47

参考文献 28

1	魏春晖, 单林森, 胡大栋, 等. 面向需求响应的园区虚拟电厂优化调度策略[J]. 中国电力, 2025, 58 (6): 112- 121.
	WEI Chunhui, SHAN Linsen, HU Dadong, et al. Optimal scheduling strategy of park-level virtual power plant for demand response[J]. Electric Power, 2025, 58 (6): 112- 121.
2	汪进锋, 李金鹏, 许银亮, 等. 考虑不确定性和绿证交易的虚拟电厂与配电网分布式优化[J]. 中国电力, 2025, 58 (4): 21- 30. DOI
	WANG Jinfeng, LI Jinpeng, XU Yinliang, et al. Distributed optimization for VPP and distribution network operation considering uncertainty and green certificate market[J]. Electric Power, 2025, 58 (4): 21- 30. DOI
3	谢开, 刘敦楠, 李竹, 等. 适应新型电力系统的多维协同电力市场体系[J]. 电力系统自动化, 2024, 48 (4): 2- 12. DOI
	XIE Kai, LIU Dunnan, LI Zhu, et al. Multi-dimensional collaborative electricity market system for new power system[J]. Automation of Electric Power Systems, 2024, 48 (4): 2- 12. DOI
4	孙冬川, 孙亮, 孔令乾, 等. 基于深度强化学习的多能虚拟电厂优化调度[J]. 东北电力大学学报, 2024, 44 (3): 102- 111.
	SUN Dongchuan, SUN Liang, KONG Lingqian, et al. Deep reinforcement learning-based optimal scheduling for multi-energy virtual power plant[J]. Journal of Northeast Electric Power University, 2024, 44 (3): 102- 111.
5	周洋, 黄德志, 李培栋, 等. 考虑平衡端点相位不对称及光伏接入的低压配电网三相潮流模型[J]. 中国电力, 2024, 57 (10): 190- 198. DOI
	ZHOU Yang, HUANG Dezhi, LI Peidong, et al. A three-phase power flow model for low-voltage distribution networks considering balanced bus phase asymmetry and photovoltaic access[J]. Electric Power, 2024, 57 (10): 190- 198. DOI
6	王辉, 周珂锐, 吴作辉, 等. 含电转气和碳捕集耦合的综合能源系统多时间尺度优化调度[J]. 中国电力, 2024, 57 (8): 214- 226. DOI
	WANG Hui, ZHOU Kerui, WU Zuohui, et al. Multi-time scale optimal scheduling of integrated energy system coupling power-to-gas and carbon capture system[J]. Electric Power, 2024, 57 (8): 214- 226. DOI
7	何知纯, 谢敏, 黄莹, 等. 基于连续隐马尔可夫模型的风水火联合低碳检修优化[J]. 南方能源建设, 2023, 10 (4): 43- 56.
	HE Zhichun, XIE Min, HUANG Ying, et al. Wind power, hydropower and thermal power combined low-carbon maintenance optimization based on continuous hidden Markov model[J]. Southern Energy Construction, 2023, 10 (4): 43- 56.
8	卢志刚, 师锛博, 何良策, 等. 基于碳捕集与封存-电转气-电解熔融盐协同的虚拟电厂优化调度[J]. 电网技术, 2023, 47 (8): 3088- 3103.
	LU Zhigang, SHI Benbo, HE Liangce, et al. Optimal scheduling of virtual power plant based on CCS-P2G-EMC collaboration[J]. Power System Technology, 2023, 47 (8): 3088- 3103.
9	李翼成, 赵钰婷, 崔杨, 等. 考虑充放电策略的换电站与风电-碳捕集虚拟电厂的低碳经济调度[J]. 电力自动化设备, 2023, 43 (6): 27- 36.
	LI Yicheng, ZHAO Yuting, CUI Yang, et al. Low-carbon economic dispatching of battery swapping station and wind power-carbon capture virtual power plant considering charging and discharging strategy[J]. Electric Power Automation Equipment, 2023, 43 (6): 27- 36.
10	周亦洲, 吴俊钊, 孙国强, 等. 面向多级电-碳耦合市场的虚拟电厂两阶段鲁棒交易策略[J]. 电力系统自动化, 2024, 48 (18): 38- 46.
	ZHOU Yizhou, WU Junzhao, SUN Guoqiang, et al. Two-stage robust trading strategy for virtual power plant in multi-level electricity-carbon coupling market[J]. Automation of Electric Power Systems, 2024, 48 (18): 38- 46.
11	王瑞东, 吴杰康, 蔡志宏, 等. 多协同市场下含电动汽车虚拟电厂的优化调度[J]. 南方电网技术, 2021, 15 (12): 45- 55.
	WANG Ruidong, WU Jiekang, CAI Zhihong, et al. Optimal dispatching of virtual power plant containing electric vehicles in multi-cooperative market[J]. Southern Power System Technology, 2021, 15 (12): 45- 55.
12	孙辉, 范轩轩, 胡姝博, 等. 虚拟电厂参与日前电力市场的内外协调竞标策略[J]. 电网技术, 2022, 46 (4): 1248- 1262.
	SUN Hui, FAN Xuanxuan, HU Shubo, et al. Internal and external coordination bidding strategy of virtual power plant participating in day-ahead power market[J]. Power System Technology, 2022, 46 (4): 1248- 1262.
13	ZHANG M Y, XU Y L, SUN H B. Optimal coordinated operation for a distribution network with virtual power plants considering load shaping[J]. IEEE Transactions on Sustainable Energy, 2023, 14 (1): 550- 562. DOI
14	宋梦, 经昕怡, 蔡昀峰, 等. 基于产消者能量-备用联合共享的虚拟电厂优化运营方法[J]. 电力系统自动化, 2024, 48 (18): 3- 13.
	SONG Meng, JING Xinyi, CAI Yunfeng, et al. Optimal operation method for virtual power plant based on joint sharing of energy and reserve of prosumers[J]. Automation of Electric Power Systems, 2024, 48 (18): 3- 13.
15	张钧钊, 姜欣, 段世杰, 等. 虚拟电厂参与电-碳联合市场运行的竞价策略研究[J]. 电力系统保护与控制, 2023, 51 (11): 108- 118.
	ZHANG Junzhao, JIANG Xin, DUAN Shijie, et al. Bidding strategy for a virtual power plant to participate in the power-carbon joint market[J]. Power System Protection and Control, 2023, 51 (11): 108- 118.
16	张继行, 张一, 王旭, 等. 基于多代理强化学习的多新型市场主体虚拟电厂博弈竞价及效益分配策略[J]. 电网技术, 2024, 48 (5): 1980- 1991.
	ZHANG Jihang, ZHANG Yi, WANG Xu, et al. Game bidding and benefit allocation strategies for virtual power plants with multiple new market entities based on multi-agent reinforcement learning[J]. Power System Technology, 2024, 48 (5): 1980- 1991.
17	刘蓉晖, 赵增凯, 孙改平, 等. 考虑不同风险偏好的虚拟电厂优化策略及利润分配[J]. 电力自动化设备, 2021, 41 (4): 154- 161.
	LIU Ronghui, ZHAO Zengkai, SUN Gaiping, et al. Optimization strategy and profit allocation of virtual power plant considering different risk preference[J]. Electric Power Automation Equipment, 2021, 41 (4): 154- 161.
18	李新聪, 黄滢, 李振坤, 等. 基于条件风险价值的虚拟电厂优化运行与收益分配[J/OL]. 现代电力, 2024: 1–12. (2024-08-26). https://link.cnki.net/doi/10.19725/j.cnki.1007-2322.2023.0263
	LI Xincong, HUANG Ying, LI Zhenkun, et al. Optimal operation and profit allocation of virtual power plants based on conditional value-at-risk[J/OL]. Modern Electric Power, 2024: 1–12. (2024-08-26). https://link.cnki.net/doi/10.19725/j.cnki.1007-2322.2023.0263.
19	任涵钰, 王昀, 谢海鹏, 等. 计及综合需求响应与动态收益分配的园区运营商电-热联合竞标策略[J]. 电网技术, 2024, 48 (7): 2734- 2744.
	REN Hanyu, WANG Yun, XIE Haipeng, et al. Joint electricity-heat decision-making strategy for park operator considering integrated demand response and dynamic revenue registration[J]. Power System Technology, 2024, 48 (7): 2734- 2744.
20	LI Y, HAN M, YANG Z, et al. Coordinating flexible demand response and renewable uncertainties for scheduling of community integrated energy systems with an electric vehicle charging station: a bi-level approach[J]. IEEE Transactions on Sustainable Energy, 2021, 12 (4): 2321- 2331. DOI
21	QI X J, JIANG Z Q, ZHANG J J. Low-carbon joint dispatch of integrated energy systems based on differentiated dynamic pricing mechanisms[J]. International Journal of Electrical Power & Energy Systems, 2024, 156, 109774.
22	尚楠, 陈政, 冷媛. 电碳市场背景下典型环境权益产品衔接互认机制及关键技术[J]. 中国电机工程学报, 2024, 44 (7): 2558- 2578.
	SHANG Nan, CHEN Zheng, LENG Yuan. Mutual recognition mechanism and key technologies of typical environmental interest products in power and carbon markets[J]. Proceedings of the CSEE, 2024, 44 (7): 2558- 2578.
23	于浩, 沈运帷, 林顺富, 等. 考虑用户心理的商业楼宇集群能量共享优化策略[J]. 电网技术, 2022, 46 (11): 4423- 4434.
	YU Hao, SHEN Yunwei, LIN Shunfu, et al. Optimization strategies for energy sharing in commercial building clusters considering user psychology[J]. Power System Technology, 2022, 46 (11): 4423- 4434.
24	李达, 杨珂, 郭庆雷. 面向虚拟电厂电力交易的隐私保护结算模型[J]. 电网技术, 2024, 48 (9): 3713- 3723.
	LI Da, YANG Ke, GUO Qinglei. A privacy-preserving settlement model for power transactions in virtual power plants[J]. Power System Technology, 2024, 48 (9): 3713- 3723.
25	李逸超, 胥栋, 徐刚, 等. 计及碳捕集和多能流的虚拟电厂多目标优化调度[J]. 浙江电力, 2023, 42 (10): 34- 44.
	LI Yichao, XU Dong, XU Gang, et al. Multi-objective optimal scheduling of virtual power plant considering carbon capture and multi-energy flow[J]. Zhejiang Electric Power, 2023, 42 (10): 34- 44.
26	顾洁, 白凯峰, 时亚军. 基于多主体主从博弈优化交互机制的区域综合能源系统优化运行[J]. 电网技术, 2019, 43 (9): 3119- 3134.
	GU Jie, BAI Kaifeng, SHI Yajun. Optimized operation of regional integrated energy system based on multi-agent master-slave game optimization interaction mechanism[J]. Power System Technology, 2019, 43 (9): 3119- 3134.
27	张叶青, 陈文彬, 徐律军, 等. 面向多虚拟电厂的分层分区多层互补动态聚合调控策略[J]. 发电技术, 2024, 45 (1): 162- 169.
	ZHANG Yeqing, CHEN Wenbin, XU Lüjun, et al. Multi-virtual power plant-oriented dynamic aggregation control strategy based on hierarchical partition and multi-layer complementation[J]. Power Generation Technology, 2024, 45 (1): 162- 169.
28	傅铮, 王峰, 王若宇, 等. 基于时序生产模拟的需求侧响应促进新能源消纳量化分析[J]. 浙江电力, 2024, 43 (9): 39- 48.
	FU Zheng, WANG Feng, WANG Ruoyu, et al. Quantitative analysis of renewable energy consumption promoted by demand-side response based on time-series production simulation[J]. Zhejiang Electric Power, 2024, 43 (9): 39- 48.

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