摘要
采用基于逆流编号法的前推回代法和改进的遗传无功精确矩混合算法来计算电力系统网络潮流,为此,提出一个10kV配电网无功优化的数学模型。优化计算分两步进行:先以无功二次精确矩确定无功补偿点,然后用改进遗传算法来确定补偿点的补偿容量,避免了遗传算法可能产生的随意性和盲目性,寻优方向明晰,收敛速度加快。这样的无功优化计算,能更有效地提高配电网的电压合格率,降低网损,得到最佳的投资回报效益。
In this paper a mixture algorithm of forward/backward sweeping for network load-flow calculation and an improved genetic algorithm is introduced as a mathematical model of reactive power optimization for a 10 kV distribution network. The method comprises two steps: The compensation points in the network are firstly located by means of quadratic accurate moment of the reactive power, and then their compensation capacities are determined with improved genetic algorithm, avoiding the randomness and blindness that the latter might arouse. Thus the searching direction for optimal solution becomes explicit, and convergence speeds up, hence better qualification of voltage, lower line-loss of the network, and the best payback of investment results.
出处
《广东电力》
2007年第5期6-9,共4页
Guangdong Electric Power
关键词
配电网
无功优化
无功精确矩法
遗传算法
distribution network
reactive power optimization
reactive power accurate moment
genetic algorithm