摘要
随着分布式发电研究与应用的迅速发展,分布式交易市场作为一种新型的电力交易模式,能够有效提升可再生能源消纳率,是推动实现“碳达峰、碳中和”目标的重要手段.将市场评价机制引入用户的竞拍交易机制中,将促使用户考虑市场评价机制对其交易策略的影响,推动分布式交易市场的良性发展.针对微网用户间的分布式电能交易市场展开研究,首先,以市场参与主体及交易支撑软硬件为研究对象,分别从电能供应能力、用户满意度、平台安全性等方面建立多维度绩效评价指标体系.然后,对分布式电能交易市场评价方法研究现状进行总结与梳理,并从指标体系建立、指标计算方法及综合评价方法三方面分析了分布式电能交易绩效评价的关键技术.最后,结合当前发展现状,对未来分布式电能交易绩效评价的研究方向进行了展望.
With the rapid development of distributed power generation research and application,the distributed trading market,as a new type of power trading mode,can effectively increase the consumption rate of renewable energy and is an important means to promote the realization of the goal of“carbon peaking and carbon neutrality”.Introducing the market evaluation mechanism into distributed transactions will prompt users to consider the impact of the market evaluation mechanism on their trading strategies and promote the sound development of the distributed transaction market.The distributed power trading market among micro-grid users is studied in this paper.First,taking the market participants and transaction supporting software and hardware as the research object,a multi-dimensional performance evaluation index system is established from the aspects of power supply capacity,user satisfaction,and platform security.Next,the research status of distributed power trading market evaluation methods is summarized.The key technologies of distributed power trading performance evaluation are analyzed from the establishment of index system,the index calculation method,and the comprehensive evaluation method.Finally,in combination with the current development status,the research direction of the distributed power trading performance evaluation in the future is prospected.
作者
王文彬
郑蜀江
范瑞祥
陈文
周世阳
WANG Wenbin;ZHENG Shujiang;FAN Ruixiang;CHEN Wen;ZHOU Shiyang(Electric Power Research Institute,State Grid Jiangxi Electric Power Co.,Ltd.,Nanchang 330096,China)
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2022年第3期312-324,共13页
Journal of Shanghai Jiaotong University
关键词
分布式交易
分布式电能
绩效评价指标
组合赋权法
distributed transaction
distributed generation
performance evaluation index
combination weighting method