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省间电力现货交易优化设计与定价机制OA北大核心CSTPCD

Optimal Design and Pricing Method for Inter-provincial Electricity Spot Trading

中文摘要英文摘要

在"碳达峰·碳中和"的目标驱动下,受新能源地理分布与随机性影响,以跨区域交易为媒介的区域间电能与灵活性互济重要性凸显.目前,中国正处于构建全国统一电力市场体系的关键阶段,需要有效的市场机制来管理省间电力现货交易.基于上述背景,设计了一种不依赖于跨区域投标者的省间电力现货交易方法.首先,提出了基于报价区的市场出清模型,采用分区边际定价的方法计算每个报价区的结算价格;然后,基于等效双边配对方法,按潮流贡献计算得到各区域间交易所需承担的输电费用;最后,采用算例验证了所提方法的有效性.与已有方法相比,所提方法在不依赖于跨区域投标者的前提下完成了跨区跨省电力交易,充分利用了输电线路容量,且市场出清过程中保护了各区域内部网架信息隐私.

Driven by the goal of"carbon emission peak and carbon neutrality"and affected by the geographical distribution and randomness of renewable energy,the importance of mutual support between regional power and flexibility using cross-regional trading as a medium is highlighted.At present,China is in the critical stage of building a unified national electricity market system,and an effective market mechanism is needed to manage large-scale inter-provincial electricity spot trading.Based on the above background,an inter-provincial electricity spot trading approach which does not depend on cross-regional bidders is designed.First,a market clearing model based on bidding zones is proposed and the zonal marginal pricing method is used to calculate the settlement price for each zone.Then,transmission tariffs for each transaction between regions are calculated according to power flow contributions based on the equivalent bilateral matching method.Finally,numerical examples verify the effectiveness of the proposed method.Compared with existing methods,the proposed method accomplishes inter-provincial electricity trading without relying on cross-regional bidders.It utilizes the capacity of transmission lines efficiently and protects the privacy of internal network information in each area during the market clearing process.

刘昊;郭烨;孙宏斌

清华˗伯克利深圳学院,清华大学深圳国际研究生院,广东省深圳市 518000||电力规划设计总院,北京市 100120清华˗伯克利深圳学院,清华大学深圳国际研究生院,广东省深圳市 518000清华˗伯克利深圳学院,清华大学深圳国际研究生院,广东省深圳市 518000||电力系统及大型发电设备安全控制和仿真国家重点实验室(清华大学),北京市 100084||清华大学电机工程与应用电子技术系,北京市 100084

省间电力现货交易市场出清结算方法输电费用定价机制

inter-provincial electricity spot tradingmarket clearingsettlement approachtransmission tariffpricing method

《电力系统自动化》 2024 (004)

76-85 / 10

国家自然科学基金面上项目(51977115). This work is supported by National Natural Science Foundation of China(No.51977115).

10.7500/AEPS20230821006

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