基于改进PSO算法的光伏发电系统控制室的选址

为解决我国西部无电村落供电问题,在这些地区引入了光伏发电.为了减少光伏发电建设投资和保证可靠供电,对控制室进行优化选址是非常重要的.针对控制室的选址问题,用传统的数学算法解决比较复杂,且不易实现最优,为此提出了改进粒子群算法进行控制室的选址.通过负荷分布情况及用电量情况建立目标函数和约束条件,利用惩罚函数法对约束条件进行处理,最后得到一个带有惩罚项但没有约束条件的目标函数,用MATLAB平台编程求解其最小值,完成所要搜寻优化问题的最佳结果.

The Photovoltaic Power Generation System Control Room's Location Based on Improved Particle Swarm Optimization Algorithm

The photovoltaic power generation is introduced in these villages without electricity in western China for solving the power supply problem. In order to reduce the construction investment of photovoltaic power generation and ensure reliable power supply,it is crucial to optimizing the control room location. Because traditional mathematical algorithms are complex to solve the control room＇s location and not easy to achieve optimization,the improved particle swarm algorithm is put forward. The load distribution and power consumption is used to build the objective function and constraint conditions,then the penalty function method is used to deal with constraint condition,finally an objective function is obtained with a penalty term but without the constraints. The minimum value of the objective function is solved by MATLAB for achieving the best results of optimization problems.