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A Novel Approach for Optimal Automatic Voltage Control of Hydropower Station Based on Improved Genetic Algorithm

机译:基于改进遗传算法的水电站最优自动电压控制新方法。

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This paper presents recent work on the control strategy and algorithm for automatic voltage control (AVC) of hydropower station with multiple units and large capacities. Under the conditions that no dynamic voltage problems are considered, a method intended primarily to control steady state voltage of HV bus by economically regulating the reactive power generation of hydropower station is proposed. An improved Genetic Algorithm (GA) is used for optimal reactive power dispatching in automatic voltage control of hydropower station. Compared with the classic GA, three basic operators in GA which are the sorting selection operator, the pattern crossover operator and the quasi-gradient mutation operator are amended in this paper. Furthermore, the result of GA is modified by mountain-climbing method. The simulating results show that the compatibility of the improved GA is better than normal optimal algorithms and classic GA, and the algorithm can also obtain global optimization and reduce the net-loss to the most extent. The numerical simulations in off-line environment on practical system with 5 units and 13 units demonstrate that the processing speed and the accuracy are completely acceptable in practical project.
机译:本文介绍了多单元大容量水电站自动电压控制(AVC)的控制策略和算法的最新工作。提出了在不考虑动态电压问题的条件下,主要通过经济地调节水电站无功功率来控制高压母线稳态电压的方法。改进的遗传算法用于水电站自动电压控制中的最优无功调度。与经典遗传算法相比,本文对遗传算法中的三个基本算子分别进行了排序选择算子,模式交叉算子和准梯度变异算子的修正。此外,GA的结果通过爬山方法进行了修改。仿真结果表明,改进后的遗传算法的兼容性优于常规最优算法和经典遗传算法,并且该算法也可以获得全局优化,最大程度地减少了净损失。在5台和13台实际系统的离线环境中的数值模拟表明,在实际项目中处理速度和精度是完全可以接受的。

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