With the development of electrical Industry in china, the load of distribution system is increasing and the need of reactive power is also increasing. When reactive power is unbalance, it will cause some problems, such as lower voltage, worsen voltage quality, lower power factor and increase line loss. To solve the problems above and ensure secure and economic operation of system, the work about reactive power planning, construction and management must be done well. So by reasonable reactive power compensation and dispatch, it can supplement reactive power to make it keep balance, decrease power loss and voltage loss, improve voltage quality, increase transmission ability of power network and utilization ratio of equipment, raise power factor and save electricity expense.For reducing the power loss farthest, raising the utilization ratio of equipment, increasing the economic benefit of reactive power compensation devices, the installation of reactive power compensation devices should obey principles of on-site compensation, difference grade and area compensation. There are three reactive power compensation methods for distribution network: Concentrated compensation by installing group switched capacitor on substation or 1 OkV bus of switching station; Distributed compensation by installing shunt capacitor on distribution feeder; On-site compensation by installing automatic switched low-voltage compensation devices on the low-voltage side of transformer.Based on the situation of reactive power compensation and distribution network's structure, this paper studies the reactive power compensation methods of installing shunt capacitor on distribution feeder, and develops new graphical software of reactive power compensation optimization on distribution feeder by using Visio2003 as development platform. Main works as following.1. It presents a mathematic model of reactive power compensation optimization on distribution feeder and effective algorithm, which can be used to any distribution feeder. This mathematic model takes the minimum of power loss as objective function, the location and capacity of shunt capacitor as optimizing variable, the sum, the minimum and the maximum of capacity as constraints. To solve the optimization, this... |