卫凯, 张海波, 龚贤夫, 卢洵. 提升多馈入受端电网安全性的储能电站规划方法[J]. 现代电力. DOI: 10.19725/j.cnki.1007-2322.2022.0451
引用本文: 卫凯, 张海波, 龚贤夫, 卢洵. 提升多馈入受端电网安全性的储能电站规划方法[J]. 现代电力. DOI: 10.19725/j.cnki.1007-2322.2022.0451
WEI Kai, ZHANG Haibo, GONG Xianfu, LU Xun. Energy Storage Plants Planning Method for Improving Security of Multi-infeed Receiving-end System[J]. Modern Electric Power. DOI: 10.19725/j.cnki.1007-2322.2022.0451
Citation: WEI Kai, ZHANG Haibo, GONG Xianfu, LU Xun. Energy Storage Plants Planning Method for Improving Security of Multi-infeed Receiving-end System[J]. Modern Electric Power. DOI: 10.19725/j.cnki.1007-2322.2022.0451

提升多馈入受端电网安全性的储能电站规划方法

Energy Storage Plants Planning Method for Improving Security of Multi-infeed Receiving-end System

  • 摘要: 多馈入受端电网中交直流相互影响严重,存在多重换相失败的风险,同时受端电网具有低惯量特性,直流闭锁后频率快速下降可能诱发低频减载事故。储能能够实现有功、无功四象限运行,并且响应迅速,在频率、电压两方面均可提高系统的安全稳定性,因此提出一种提升受端电网安全性的双层多目标储能电站规划模型。外层以降低各高压直流间交互作用为目标同时兼顾经济性,进行多目标储能电站选址定容规划;内层利用储能、直流以及抽蓄切泵的紧急有功支撑能力,构建考虑频率安全约束的优化调度模型。采用多目标遗传算法NSGA-II与求解器相结合的方法对模型进行求解,最终通过改进的IEEE-39系统验证了所提规划模型的有效性。

     

    Abstract: The AC/DC interaction in multi-infeed receiving-end system is a significant concern, as it poses the risk of simultaneous commutation failure. At the same time, the receiving-end system, characterized by low-inertia, may experience rapid frequency decline after HVDC blocking fault and may induce low frequency load shedding accident. Energy storage system enables four-quadrant operation of active active and reactive power, ensuring rapid response that promotes the safe and stable operation of the power grid. Therefore, a bi-level multi-objective planning model of energy storage plants was proposed to improve the security of the receiving-end system. For the outer layer, both location and capacity planning for the energy storage plants were carried out with the goal of reducing the interaction between HVDC while considering the economy. The optimal scheduling model was constructed in the inner layer by using the emergency power support capability of energy storage system, DC, as well as the pumped storage control, taking the frequency security constraint into account. The non-dominated sorting genetic algorithm II (NSGA-Ⅱ) combined with solver was employed to solve the model. Finally, the effectiveness of the proposed programming model was verified by an improved IEEE-39 system.

     

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