李鹏, 周益斌, 李明哲, 茆美琴, 王子轩, 付林. 基于谈判博弈的含储能站利益主体的多能源站协同优化运行方法[J]. 高电压技术, 2021, 47(5): 1666-1677. DOI: 10.13336/j.1003-6520.hve.20201369
引用本文: 李鹏, 周益斌, 李明哲, 茆美琴, 王子轩, 付林. 基于谈判博弈的含储能站利益主体的多能源站协同优化运行方法[J]. 高电压技术, 2021, 47(5): 1666-1677. DOI: 10.13336/j.1003-6520.hve.20201369
LI Peng, ZHOU Yibin, LI Mingzhe, MAO Meiqin, WANG Zixuan, FU Lin. Cooperative Optimal Operation Method of Multiple Energy Stations with Stakeholder of Energy Storage Station Based on Negotiation Game[J]. High Voltage Engineering, 2021, 47(5): 1666-1677. DOI: 10.13336/j.1003-6520.hve.20201369
Citation: LI Peng, ZHOU Yibin, LI Mingzhe, MAO Meiqin, WANG Zixuan, FU Lin. Cooperative Optimal Operation Method of Multiple Energy Stations with Stakeholder of Energy Storage Station Based on Negotiation Game[J]. High Voltage Engineering, 2021, 47(5): 1666-1677. DOI: 10.13336/j.1003-6520.hve.20201369

基于谈判博弈的含储能站利益主体的多能源站协同优化运行方法

Cooperative Optimal Operation Method of Multiple Energy Stations with Stakeholder of Energy Storage Station Based on Negotiation Game

  • 摘要: 针对多能源站系统经济运行问题,提出一种基于谈判博弈的含储能站利益主体的多能源站协同优化运行方法。首先,将储能站引入多能源站系统的优化调度,研究能源站内设备的能流和能量转化关系,以多能源站和储能站为不同利益主体,建立各自经济性最优的多目标优化模型;其次,充分计及不同利益主体间的能量交互,基于谈判博弈理论协调多能源站和储能站之间的功率交互值和双方利益诉求,建立储能站参与调度决策的多能源站协调优化运行模型。最后以典型日场景为例,对多能源站系统在3种运行模式下的调度结果以及现有建模方法调度结果进行分析。结果表明,所提方法相比多能源站单独运行和互联运行,成本分别降低了17.70%和4.41%,在实现多能源站系统经济性最优的同时兼顾储能站的利益,并保证了可再生能源的全额消纳,验证了所提方法的有效性和可行性。

     

    Abstract: Aiming at the economic operation of the multiple energy stations system, a method for cooperative optimized operation of multiple energy stations with energy storage station stakeholder based on negotiation game is proposed. Firstly, the energy storage station is introduced into the multiple energy stations system for optimal scheduling decision, and the energy flow relationship and energy conversion relationship of the equipment in the energy station are studied. Meanwhile, a multi-objective optimization model with the best economic performance is established by taking multiple energy stations and energy storage stations as different interest bodies. Secondly, after fully taking into account the energy interaction between different stakeholders, based on the negotiation game theory to coordinate the power interaction value between multiple energy stations and energy storage station and the interests of both parties, a coordinated and optimized operation of multiple energy stations that participate in the scheduling decision model is established. Finally, by taking a typical daily scenario as an example, the scheduling results of the multiple energy stations system in three operating modes and the scheduling results of the existing modeling methods are analyzed. The results show that, compared with the independent operation and interconnected operation of multiple energy stations, adopting the method proposed in this paper can decrease the expense by 17.70% and 4.41%, respectively. Therefore, the optimal economics of the multiple energy station system can be achieved while taking into account the benefits of energy storage stations and ensuring the full consumption of renewable energy, which verify the effectiveness and feasibility of the method.

     

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