Short-Term Scheduling Optimization of Hydro-thermal Power Systems Based on Adaptive Hybrid Differential Evolution Algorithm

• 1、College of Hydroelectric and Digitalization Engineering, Huazhong University of Science and Technology

Abstract：To solve short-term scheduling optimization of hydro-thermal power systems with differential evolution algorithm (DE), an adaptive hybrid differential evolution algorithm (AHDE) is proposed. The algorithm proposed adjusts the cross operator according to the computation process to preserve the diversity of the population and enhance the globe convergence ability of the algorithm. Simulated annealing (SA) is adopted for its strong search ability to overcome the premature convergence of DE. In view of the critical shortcoming such as lack of precision when applied to solve actual nonlinear engineering problem with complicated constraints of AHDE, a constraints handle method fit for AHDE is presented. The proposed algorithm is applied to a practical calculation example, experimental results verify the successful application of AHDE，compared with other algorithms, AHDE can find the global optimum solution quickly with high precision, therefore a new method is proposed for short-term scheduling optimization of hydro-thermal power systems.

Keywords： differential evolution algorithm adaptive simulated annealing；Constraints handle hydro-thermal power systems short-term scheduling