基于鲁棒优化的电-气互联型主动配电网故障恢复方法

电-气互联型主动配电网作为能源利用的重要形式,其故障恢复对于提升系统供电可靠性至关重要。针对电-气互联型主动配电网故障恢复问题,计及系统不确定性采用鲁棒优化理论建立故障恢复方法。模型以风光出力和故障恢复方案分别为自然决策者和系统决策者,令两者进行博弈。其中以最大化失电负荷量为目标函数,计及区间形式不确定性约束建立自然决策者模型。以最小化失电负荷量,计及电气互联约束、电能网络辐射状约束,功率平衡约束、电能网络运行约束建立系统决策者模型。基于两阶段松弛法设计故障恢复鲁棒优化模型的求解步骤。最后通过一个算例验证了所建立模型的有效性。

Fault recovery method of an integrated electricity and natural-gas active distribution network based on robust optimization

Fault recovery in an integrated electricity and natural-gas Active Distribution Network (ADN) is very important for improving the reliability of the system. To solve the problem of fault recovery in an integrated electricity and natural-gas ADN, a robust optimization theory is used considering system uncertainty. In the model, the wind photovoltaic output and the fault recovery scheme are considered as natural decision-makers and system decision-makers respectively to make them game. The natural decision-maker model is established with maximizing the power loss load as the objective function, taking into account the uncertainty constraints of the interval form; the system decision-maker model is established with minimizing the power loss load, taking into account the constraints of electricity and natural-gas integration, and radiation, power balance and operation constraints of the electrical energy network. Based on a two-stage relaxation method, the solution steps for the robust optimization model are designed. Finally, an example is given to verify the validity of the model. This work is supported by the National Natural Science Foundation of China (No. 61873225) and the Beijing- Tianjin-Hebei Cooperation Special Program of Natural Science Foundation of Hebei Province (No. F2016203507).