Optimal Operation of Cascade Hydropower Stations Based on Chaos Cultural Sine Cosine Algorithm
Qiang Zou, Anqiang Li, Xiaocong He, Xuemin Wang · IOP Conference Series Materials Science and Engineering · 2018
Due to the fact that Sine Cosine Algorithm(SCA) may easily premature convergence, by taking cultural algorithm as the framework of population space and using chaotic search to lead the evolvement of belief space, a new Chaos Cultural Sine Cosine Algorithm (CCSCA) was present in this paper. And the results of typical benchmark functions show that CCSCA has better global searching ability than SCA to avoid the premature phenomenon. Finally, CCSCA was employed for optimal operation of cascade hydropower stations (OOCHS), and case study showed that CCSCA could get satisfying results with high accuracy and fast efficient, thus providing a new efficient method to solve OOCHS.