An improved differential evolution approach for short-term hydrothermal scheduling

作者：Zhang Jingrui; Lin Shuang; Fan Xianguang^*; Guo Yiran

来源：Journal of Information and Computational Science, 2015, 12(5): 1817-1829.

DOI：10.12733/jics20105595

• Differential Evolution
• Regeneration
• Repair strategy
• Selection
• Short-term hydrothermal scheduling

Short-term Hydrothermal Scheduling (STHS) plays one of the most important roles in power system operations. It is a complicated optimization problem that is difficult to solve due to the consideration of various constraints. This paper proposes an improved differential evolution approach for the solution of STHS problem. A regeneration operation is integrated into the proposed approach to avoid local optimums. Moreover, a novel constraints handling mechanism is introduced in order to avoid the use of penalty factors and improve the constraints handling efficiency. The mechanism employs a repair strategy to preserve population feasibility as much as possible. Besides, a novel selection which makes a not clear distinction between the feasible and infeasible solutions is introduced to handle oversights of the repair strategy. The proposed approach is applied on a well-known hydrothermal test system to verify its feasibility and efficiency. Numerical results are compared with those obtained by other population-based heuristic approaches reported in literature. It is observed from the comparisons that the proposed approach performs effectively and can yield quite competitive solutions.

• 出版日期2015
• 单位厦门大学