文章基本信息

标题：Agent Based Locational Marginal Pricing and its Impact on Market Clearing Price in a Deregulated Electricity Market
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作者：Kiran P ; K R M Vijaya Chandrakala ; T N P Nambiar 等
期刊名称：Journal of Electrical Systems
印刷版ISSN：1112-5209
出版年度：2019
卷号：15
期号：3
页码：405-416
出版社：ESRGroups
摘要：This paper focuses towards agent based Locational Marginal Pricing (LMP) which will minimize the overall system cost and relieves congestion on transmission lines in a deregulated electricity market. For the analysis, agents are classified in terms of market traders, Independent System Operator (ISO) linking to the IEEE 5-Bus system which would suggest the LMP to take care of the congestion cost happening in the system. The market operates on a day-ahead basis. The ISO allocates the bids and the offers from the traders by performing DCOPF (DC-Optimal Power Flow), calculates the LMP based on congestion, dispatch the units based on optimal system cost. The market model considered in this work is Pool-Co type. The analysis is carried out on the platform of Agent Based Modeling of Electricity Systems (AMES) software. The AMES is a tool developed under Java platform for modeling deregulated electricity market operating over an AC transmission grid which outperforms other tools. Later the impact of market clearing price in a deregulated power market was also discussed. A case study on IEEE 30 bus system based on congestion management is also further analyzed. The results show great potential of agent based computational model in a restructured electric power industry.
关键词：Deregulated Electricity Market; Locational Marginal Pricing (LMP); Independent System; Operator (ISO); Agent Based Modeling of Electricity Systems (AMES); DC Optimal Power Flow; (DCOPF); Market Clearing Price (MCP).