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作 者:杨雨熹 YANG Yu-xi(Department of Electrical Engineering,North China Electric Power University,Baoding 071003,China)
出 处:《价值工程》2018年第20期229-231,共3页Value Engineering
摘 要:电力系统潮流计算是研究电力系统稳态运行情况的一种基本电气计算,它的任务是根据给定的运行条件和网络结构确定整个系统的运行状态,其在电力系统运行中占据举足轻重的作用。而过去的计算方式不仅计算方式较为固定,其便捷性和准确性也亟待完善。基于此,本文提出了一种新的潮流稳定的计算方法,即混沌粒子群优化算法。通过将混沌粒子群优化算法运用到电力系统中进行测试,发现该算法不仅收敛性相对较好,该算法所得结果还具有较高的有效性和准确性。Power flow calculation is a basic electrical calculation to study the steady state operation of power system. Its task is to determine the operating status of the entire system according to given operating conditions and network structure, which occupies a pivotal role in the operation of the power system. In the past, the calculation method was not only a relatively fixed calculation method, but also its convenience and accuracy need to be improved. Based on this, this paper presents a new stable power flow calculation method, namely chaotic particle swarm optimization algorithm. The chaotic particle swarm optimization algorithm is applied to the power system and tested.It is found that the algorithm not only has relatively good convergence, but also has high validity and accuracy.
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