中文摘要：

现有的日前无功优化模型较少考虑次日电压稳定问题,且算法无法准确处理离散变量及时段间耦合约束。针对此现状,提出了一种计及分区动态无功储备的日前无功优化模型,并采用分支定界—原对偶内点法对其进行求解。在求解过程中,利用分支定界树使离散变量逐步逼近离散值,通过合理的分支剪支策略满足离散变量的时段间耦合约束,将日前无功优化问题转换为一系列仅含连续变量的单时段无功优化问题进行求解。IEEE 30和IEEE 118节点系统的仿真结果表明了所提模型与方法的有效性。

英文摘要：

The current day-ahead reactive power optimization does not take voltage stability into account.And it cannot deal with discrete variables and time-coupled constraints accurately.In order to remedy this situation,a day-ahead reactive power optimization model is presented with dynamic reactive power reserves as one of the multiple objective functions and constraints, and a branch and bound-interior point method is used to solve the problem.The discrete variables achieve discrete values through a branch and bound tree and the time-coupled constraints are met by rational branching and pruning principles.As a result,the day-ahead reactive power optimization problem is decomposed into a series of static reactive power optimization problems with only continuous variables.Numerical tests with IEEE 30-bus system and IEEE 1 18-bus system have verified the effectiveness of the proposed model and method.