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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。
The solution of the secondary voltage control strategy is the key step of voltage grading control. Aiming at the characteristics of both continuous equipment and discrete equipment of control equipment, a mathematical model of improved discrete secondary voltage control system is established. In the model, discrete devices such as on-load voltage regulating transformers are added, taking into account the influence of the secondary voltage control area and the deviation of the terminal voltage of the reactive power control device, the model is more in line with the actual power system. A new kind of population intelligent optimization algorithm named bacterial colony chemotaxis (BCC) was applied to the optimization of this model. Simulation results show that, compared with the traditional two-stage voltage control, the effect of the secondary voltage control after the addition of discrete control equipment such as an on-load voltage regulating transformer is obviously improved in the Matlab environment using the classical New England 39-node system. . In addition, BCC algorithm can well deal with the problem of discrete variables, which has the characteristics of fast convergence, high precision and low resource consumption.