Fuel cost minimisation in generator systems with valve-point effects using differential evolution algorithms

This research explores the effectiveness of the differential evolution (DE) optimisation algorithm in solving economic load dispatch (ELD) problems in electrical power systems. A population-based, stochastic optimisation method with a reputation for simplicity and resilience, differential evolution has shown encouraging results in a range of real-world restricted optimisation situations. The DE algorithm is used in this study to solve ELD scenarios, including both 5-and 13-generator systems. Systems with valve-point effects add complexity and nonlinearity to the cost function and are given special consideration. The exterior penalty method reframes the ELD problem as an unconstrained optimisation problem to address system restrictions. The outcomes show that DE can minimise fuel costs while handling the dispatch problem's intrinsic non-convexities skilfully.