基于议价能力的风-光-CHP多主体优化运行策略

doi:10.12204/j.issn.1000-7229.2023.01.014

电力建设 ›› 2023, Vol. 44 ›› Issue (1): 118-128.doi: 10.12204/j.issn.1000-7229.2023.01.014

• 新能源发电 • 上一篇

基于议价能力的风-光-CHP多主体优化运行策略

解瑞硕(), 于泽旭(), 窦震海(), 乔萌萌(), 赵晔(), 王媛媛()

山东理工大学电气与电子工程学院,山东省淄博市 255000

收稿日期:2022-03-28 出版日期:2023-01-01 发布日期:2022-12-26
通讯作者: 窦震海 E-mail:1400543750@qq.com;yuzexu2013@163.com;douzhenhai@sdut.edu.cn;CRQM980621@163.com;zzyy3125c@163.com;937647664@qq.com
作者简介:解瑞硕(1997),男,硕士研究生,主要研究方向为综合能源系统调度,E-mail:1400543750@qq.com。
于泽旭(1998),男,硕士研究生,主要研究方向为优化算法、电动汽车有序充电、电力系统自动化,E-mail:yuzexu2013@163.com。
乔萌萌(1998),男,硕士研究生,主要研究方向为分布式电源并网技术及应用,E-mail:CRQM980621@163.com。
赵晔(1996),男,硕士研究生,主要研究方向为微网优化调度及智能算法,E-mail:zzyy3125c@163.com。
王媛媛(1998),女,硕士研究生,主要研究方向为微电网调度优化及智能算法,E-mail:937647664@qq.com。
基金资助:
山东省自然科学基金青年项目(ZR2020QE215)

Wind-Solar-CHP Multi-agent Optimal Operation Strategy Based on Bargaining Power

XIE Ruishuo(), YU Zexu(), DOU Zhenhai(), QIAO Mengmeng(), ZHAO Ye(), WANG Yuanyuan()

School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, Shandong Province, China

Received:2022-03-28 Online:2023-01-01 Published:2022-12-26
Contact: DOU Zhenhai E-mail:1400543750@qq.com;yuzexu2013@163.com;douzhenhai@sdut.edu.cn;CRQM980621@163.com;zzyy3125c@163.com;937647664@qq.com

摘要/Abstract

摘要：

针对综合能源系统中主体的个体理性未被充分考虑,以及电力系统越来越重视可再生能源消纳和降低碳排放量的问题,提出了一种考虑议价能力的风-光-热电联产(combined heat and power,CHP)多主体能源系统优化运行策略。首先将综合能源系统划分为风电主体、光伏主体和热电联产(combined heat and power,CHP)主体,构建其合作运行模型,并在CHP主体中增加电制氢技术和阶梯型碳交易机制;然后,基于纳什谈判理论建立了风-光-CHP多主体合作运行模型,并由于所提合作运行模型的非凸性,将其分解为系统运行成本最小化问题(P1)和交易支付问题(P2);在P2中,提出考虑经济和环境增幅的议价能力模型,各主体根据自身议价能力来实现收益的公平分配;最后,为了保护各主体合作时的隐私,采用交替方向乘子法(alternating direction method of multipliers,ADMM),对P1和P2进行分布式求解。结果表明:考虑议价能力的风-光-CHP优化运行策略不仅可以实现合作收益的公平分配,而且能有效缓解弃风、弃光和碳排放问题。此外,验证了电制氢技术相比电转气技术更能促进系统的低碳经济运行。

关键词: 综合能源系统, 纳什谈判, 议价能力, 电制氢技术, 可再生能源消纳

Abstract:

Aiming at the problem that the individual rationality of the agent in the integrated energy system is not fully considered, and the power system pays more and more attention to the consumption of renewable energy and the reduction of carbon emissions, this paper proposes an optimal operation strategy of wind-solar-CHP multi-agent energy system considering the bargaining power. In this paper, the integrated energy system is divided into wind, photovoltaic and CHP agents, and their cooperative operation model is constructed, and hydrogen production technology and ladder-type carbon trading mechanism are added to the CHP agent. Then, according to Nash bargaining theory, a wind-solar-CHP multi-agent cooperative operation model is established. Due to the nonconvexity of the proposed cooperative operation model, it is decomposed into the system operation cost minimization problem (P1) and the transaction payment problem (P2). In P2, a bargaining power model considering economic and environmental gains is proposed. Each agent realizes the fair distribution of income according to its own bargaining power. Finally, in order to protect the privacy of cooperation, the alternating direction method of multiplier (ADMM) is used to solve P1 and P2. The results show that the optimal operation strategy of wind-solar-CHP considering bargaining power can not only realize the fair distribution of cooperative benefits, but also effectively alleviate the problems of wind curtailment, solar power curtailment and carbon emissions. In addition, the power-to-hydrogen technology can better promote the low-carbon economic operation of the system than the power-to-gas technology.

This work is supported by Natural Science Foundation of Shandong Province (No. ZR2020QE215).

Key words: integrated energy system, Nash negotiation, bargaining power, power to hydrogen, renewable energy consumption

中图分类号:

TM73

解瑞硕, 于泽旭, 窦震海, 乔萌萌, 赵晔, 王媛媛. 基于议价能力的风-光-CHP多主体优化运行策略[J]. 电力建设, 2023, 44(1): 118-128.

XIE Ruishuo, YU Zexu, DOU Zhenhai, QIAO Mengmeng, ZHAO Ye, WANG Yuanyuan. Wind-Solar-CHP Multi-agent Optimal Operation Strategy Based on Bargaining Power[J]. ELECTRIC POWER CONSTRUCTION, 2023, 44(1): 118-128.

图/表 9

图1 风-光-CHP多主体运行框架

Fig.1 Wind-solar-CHP multi-agent operation frame

图2 CHP主体能量流动框架

Fig.2 Energy flow frame of a CHP agent

图3 P1分布式迭代收敛曲线

Fig.3 The distributed iterative convergence curve of P1

图4 P2分布式迭代收敛曲线

Fig.4 The distributed iterative convergence curve of P2

表1 合作前后各主体的环境增幅

Table 1 Environmental gain before and after cooperation

图5 CHP主体的电能交易结果

Fig.5 Electricity trading results of the CHP agent

表2 基于议价能力的利益分配

Table 2 Benefit distribution based on bargaining power

表3 标准纳什谈判模型合作前后成本与收益分析

Table 3 Cost and benefit analysis of standard Nash negotiation model before and after cooperation

表4 不同场景下CHP主体的效益对比

Table 4 Benefit comparison of CHP agent in different scenarios

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基于议价能力的风-光-CHP多主体优化运行策略

Wind-Solar-CHP Multi-agent Optimal Operation Strategy Based on Bargaining Power

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