A Non-convex Economic Dispatch Problem with Valve Loading Effect Using a New Modified β-Hill Climbing Local Search Algorithm

摘要

In this paper, the problem of economic load dispatch ( ELD) is tackled using a recently introduced local search- based method called ss- hill climbing optimizer. In a power system, the ELD problem is tackled by arranging a set of generation units' outputs in a specific order to minimize the cost of the operating fuel and to match the power system load demand. This goal is achieved by satisfying all the power balance equality constraints and power output inequality constraints. ss- hill climbing algorithm is a new local search algorithm which uses an intelligent stochastic operator called ss- operator to escape the trap of local optima. The proposed method is evaluated using five real- world ELD benchmarks which vary in terms of complexity and size. The sensitivity analysis to study the effect of the proposed method parameters is conducted based on eight different convergence cases. The evaluation results of the proposed method are compared with 45 state- of- the- art methods using the same tested ELD benchmarks. Interestingly, the proposed method is able to produce a very closed- to- optimum result for almost all the tested ELD systems and the best result for one of them.