基于差分和声搜索算法的短期电力系统优化调度

摘要

In this paper,the nonlinear optimal control problem is formulated as a multi-objective mathematical optimization problem. Harmony search(HS)algorithm is one of the new heuristic algorithms. The differential harmony search(DHS)optimization algorithm is introduced for the first time in solving the optimal short-term hydrothermal scheduling in power systems. A case on consisting of 9 buses,11 transmission lines,four thermal plants and three hydro plants in Indian utility system is presented to show the methodology’s feasibility and efficiency. Compared with the optimal short-term hydrothermal scheduling of power systems,the search time of the DHS optimization algorithm is shorter and the result is close to the ideal solution.%本文提出用多目标优化算法来解决非线性优化控制问题。和声搜索算法是一种新兴的启发式算法。本文将差分和声搜索算法首次应用到解决印度公用电力系统的短期优化当中，以包含9条母线，11条传输线，4个热电厂及3个水电站的局部电力系统为例验证了差分和声搜索算法的可行性和有效性。较之于其它优化算法，差分和声搜索算法的应用能直逼优化问题的期望值。