基于细菌群体趋药性算法的二级电压控制

Secondary Voltage Control Based on Bacterial Colony Chemotaxis Algorithm

二级电压控制策略的求解是电压分级控制的关键环节。针对控制设备既有连续设备又有离散设备的特点,建立了改进型离散二级电压控制系统的数学模型。模型中增加了有载调压变压器等离散设备,同时考虑了二级电压控制区域间的影响以及无功控制设备端电压的偏离值,使该模型更加符合实际电力系统。将一种新型的群体智能优化算法——细菌群体趋药性(bacterial colony chemotaxis,BCC)算法应用于该模型的优化求解。在Matlab环境下用经典的新英格兰39节点系统进行仿真,结果表明:与传统的二级电压控制相比,在增加了有载调压变压器等离散控制设备后的二级电压控制的效果明显提高。此外BCC算法可以很好地处理离散变量问题,具有收敛速度快、精度高、占用资源低的特点。

It is the crucial procedure for hierarchical voltage control to solve the strategy for secondary voltage control. For the feature that control devices perform continuous regulation and discrete regulation, a mathematical model of improved discrete secondary voltage control system is built, in which the discrete regulation devices such as transformer fitted with on-load tap changer （OLTC） and so on are included, meanwhile to make the proposed model more confirm to the condition of actual power system both the impact among secondary voltage control regions and the terminal voltage deviations of reactive power compensation devices are taken into account. Besides, a new colony intelligent optimization algorithm, namely the bacterial colony chemotaxis （BCC）, is applied to solve the proposed model. In the environment of Matlab, the proposed model is simulated by New England 39-bus system and the results show that comparing with traditional secondary voltage control strategies, the secondary voltage control effect is evidently improved while the discrete control devices such as transformer fitted with OTLC and so on are added. The BCC algorithm can deal with the problems with discrete variables as well and possesses such advantages as fast converge speed, high accuracy and fewer resource occupation.