论文部分内容阅读
经济负荷分配是提高电力系统经济运行、减少发电成本的关键问题,针对现行优化电力系统经济负荷分配方法存在的不足,在传统人工鱼群算法基础上,引入了动态变量(可变感知距离、变尺度移动步长和随机移动的概率)和t分布概率算子,提出了一种改进的人工鱼群算法对机组有功出力进行合理分配,并利用该方法对某地3机系统进行多时段仿真。结果表明,该算法不仅优化了多台机组负荷的最优分配,且能更快更准地获取全局最优解,具有较高的使用价值。
Economic load distribution is the key issue to improve the economic operation of power system and reduce the cost of power generation. Aiming at the shortcomings of the current method of optimizing power system load distribution, based on the traditional artificial fish school algorithm, dynamic variables (variable perceived distance, variable distance Scale moving step and random moving probability) and t distribution probability operator, an improved artificial fish swarm algorithm is proposed to rationally allocate the active power of the generating unit. The method is used to simulate the multi-period system of a 3-machine system. The results show that this algorithm not only optimizes the optimal load distribution among multiple units, but also obtains the global optimal solution faster and more accurately and has higher value.