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).
