Abstract
In this article, Krill Herd algorithm (KHA) is implemented for optimal bidding strategy. The bidding coefficients of suppliers and buyers are selected strategically. The code of proposed KHA has been developed in MATLAB. It has been tested on IEEE 30 bus power system. The simulation results are correlated with the existing algorithms. The results proved flexibility of KHA correlated with Particle Swarm Optimization (PSO), Genetic Algorithm (GA) and Monte Carlo simulation in terms of Market Clearing Price (MCP).
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