摘要：In restructured electricity markets, an effective transmission pricing method is required toaddress transmission issues and to generate correct economic signals. Transmission lineconstraints can result in variations in energy prices throughout the network. These pricesdepend on generator bids, load levels and transmission network limitations. A congestion chargeis incurred when the system is constrained by physical limits. Locational marginal pricing(LMP) has become popular method in restructured power markets to address the congestionprice. This paper presents, Genetic Algorithm (GA) based DCOPF model to calculate LMP’s atall buses considering concentrated loss model and a distributed loss model to remove the highmismatch at the slack bus. LMP decomposition is also given, which can be decomposed intoenergy price, congestion price and loss price. The developed models have been applied for IEEE14 bus, New England 39 bus system and 75 bus Indian Power System. Comparison is madebetween Linear Programming (LP) based DCOPF using Power World Simulator and thedeveloped GA based DCOPF for concentrated and distributed loss cases. Both fixed and linearbids are considered for generators. The load is assumed to be inelastic. Distributed loss modelconsidering linear bids shows reduced generation fuel cost compared to concentrated loss model.
