分布式灵活资源接入的配电网有功-无功协调优化运行方法

Coordinated Acitve-reactive Power Optimization Operation Method of Distribution Network with Distributed Flexible Resource Access

  • 摘要: 光伏(Photovoltaic,PV)与储能(Energy storage system,ESS)作为重要的分布式灵活资源,能够为配电网提供有功与无功支撑,结合传统无功优化提出一种配电网有功-无功协调优化运行方法,实现配电网经济性与稳定性提升。首先,充分考虑光伏与储能的有功与无功调节能力,建立有功-无功分布式灵活资源模型。然后,以系统总运行成本最小为优化目标,构建配电网有功-无功协调优化模型。其中,针对离散无功优化装置的非线性项,采用精确线性松弛法线性化,同时为提升模型求解效率,对二阶锥约束进行“ε-松弛”,实现模型从混合整数二阶锥规划(Mixed integer second-order cone programming,MISOCP)到混合整数线性规划(Mixed integer linear programming,MILP)的转化。最后,在改进的IEEE 33节点系统上开展算例分析,算例结果表明,所提方法能够充分挖掘光伏与储能的有功-无功调节能力,有效降低系统运行成本、提升无功调节裕度,同时验证MILP能够在保障求解精度的前提下有效提升模型求解效率。

     

    Abstract: Photovoltaic(PV) and energy storage system(ESS) are important distributed flexible resources, can provide active and reactive power support for the distribution network, and a coordinated active-reactive power optimization operation method is proposed for the distribution network in combination with traditional reactive power optimization, which achieve the improvement of distribution network economy and stability. Firstly, the active and reactive power regulation capabilities of PV and ESS are fully considered, and an active-reactive distributed flexible resource model is established. Then, the active and reactive power coordinated optimization model of the distribution network is constructed with the optimization objective of minimising the total operating cost of the system. Among them, for the nonlinear term of the discrete reactive power optimisation device, the exact linear relaxation method is used to linearise it, and at the same time, in order to improve the model solution efficiency, the second-order cone constraints are “ε-relaxed” to realise the model from the mixed integer second-order cone programming(MISOCP) to mixed integer linear programming(MILP). Finally, a case analysis is carried out on the improved IEEE 33 nodes system, and the results show that the proposed method can fully exploit the active and reactive power regulation capabilities of PV and ESS, effectively reduce the system operating cost and improve the reactive power regulation margin, and at the same time, it is verified that the MILP can effectively improve the model solving efficiency under the premise of guaranteeing the solving accuracy.

     

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