基于改进PSO算法的动态环境经济调度研究

Dynamic emission economic dispatch based on improved PSO algorithm

为解决现代电力系统经济调度同一种调度方案不能应用在所有时段的问题,建立了动态环境经济调度(dynamic emission economic dispatch,DEED)模型,这种模型结合了环境经济调度(economic emission dispatch,EED)和动态经济调度(dynamic economic dispatch,DED)两种耦合模型。其中目标函数和约束条件分别考虑了阀点效应和机组的爬坡限制,因此更加接近实际经济调度。DEED通常采用的方案是将其转换为多个单目标问题进行求解,但无法保证获得全局最优解。为此,采用小世界PSO算法,通过结合小世界网络思想和粒子群算法(PSO)的寻优方式,将邻域思想转化到模型求解过程中,充分利用了算法在求解DEED问题上的优势。采用经典的10机组电力系统作为算例进行仿真,结果验证了模型的正确性和算法的实用性。

In order to solve the problem that the same one scheme in economic dispatch of modem power system can not be applied in all periods of time. , this paper established model of dynamic emission economic dispatch （DEED） consisting of two coupling models of economic emission dispatch （EED） and dynamic economic dispatch （DED）. This model where objective function and constraints respectively put valve point effect and unit climbing limit into consideration is more accessible to actual economic dispatch. The general scheme in use of DEED is to convert it into multiple single objective problems for solution, but the scheme is unable to ensure the global optimal solution. Therefore, small world PSO algorithm was applied, which was the optimization method of combining the idea of small world network and PSO. The neighborhood thought was transformed into the process of solving the model that fully utilized the advantages of algorithm when addressing the problem of DEED. The example of the algorithm adopted the classic 10 - unit power system to take the simulation and the results verified the correctness of the model and the practicability of the algorithm.