Discovering solutions of economic load dispatch problem by war strategy optimization algorithm

Abstrak

This paper suggested two methods, called war strategy optimization algorithm (WSO) and tunicate swarm algorithm (TSA), to find solutions for economic load dispatch problem (ELD). Various test systems with complex restrictions and discontinuous objective functions are used to assess the efficacy and resilience of the applied methods. The test cases are ranked from the simplest to the most complicated ones, in which the last with load demands are changed from the minimum power to the maximum power of total power of all units. The result comparison indicated that WSO can always reach the best cost for all test systems, but TSA cannot achieve similar values. Namely, WSO can reduced smaller cost than TSA by $ 0.565 and $ 121,325 for the first and second test systems, respectively. In comparison to other previous methods, the results found by WSO are equal to or better than those from others; however, the searchability of WSO is faster. Consequently, WSO is highly effective for handling ELD problem and can be considered for applying different problems in the engineering domain.