【摘要】 采用一种新的待补偿点确定算法以优化待补偿点的位置和个数。通过减小无效的解空间,结合自适应遗传算法,可进一步提高无功优化的效率和质量。文中以配电网年电能损失、无功补偿设备投资和补偿点固定安装费用之和最小为目标,建立了无功优化的数学模型,并用IEEE 33节点算例验证了该方法的有效性。更多还原

【Abstract】 A new algorithm to locate the nodes to be compensated is used to optimize the position and number of the nodes to be compensated by capacitors. Through reducing the invalid solution space and combining with the adaptive genetic algorithm the efficiency and quality of reactive power optimization can be further improved. Taking the sum of annual loss of electrical engineering, investment of reactive power compensation devices and fixed installation cost at the compensating nodes for objective function, the mathematical model of reactive power optimization is established. The effectiveness of the presented algorithm is verified by the results of calculation examples.更多还原