Harmony Search Algorithm for Solving Economic Dispatch Optimization Problems in Power Systems

Economic dispatch represents a critical optimization challenge in power systems. To minimize operational costs, power generation units require optimal economic scheduling. Researchers have developed various algorithms to address this problem, among which the Harmony Search Algorithm has emerged as an effective metaheuristic approach. This algorithm performs comprehensive analysis and computation of power system parameters such as generator output limits, fuel cost functions, and transmission losses to determine optimal dispatch solutions. The implementation typically involves key components including harmony memory initialization, pitch adjustment operations, and random selection mechanisms. Through iterative improvisation of solution vectors representing generator power outputs, the algorithm converges toward cost-minimizing configurations while satisfying system constraints. Therefore, the Harmony Search Algorithm serves as a vital computational tool for solving economic dispatch optimization problems in modern power systems.