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<p>In order to promote the distribution network high-quality development under current situation, and to build a flexible and intelligent power system including supply-demand coordination, the novel reconfiguration method on distribution network is proposed in this paper, which is based on the collaborative optimization strategy considering the uncertainty on both source and load along with demand response, meanwhile energy storage equipment is accessed into this advanced distribution network system. Firstly, the probability model of the power output on both source and load of the distribution network system is established. For the uncertainty of distributed power access and the random characteristics of load fluctuation, Latin hypercube sampling method is used to analyze the multiple uncertainty. Secondly, the improved K-means clustering algorithm is applied to reduce the classical power output scenario of source and load, so as to generate the typical source-load joint output timing scenario. Then, considering the multi-period demand response in the model and the accessed energy storage equipment, the distribution network model is reconstructed by utilizing the collaborative optimization strategy with the goal to optimize system operation cost. Meanwhile the model is transformed by the second-order cone convex relaxation and linear programming method, and the model is solved by CPLEX and YALMIP. Finally, the simulation results based on the IEEE 33 node system show that the proposed distribution network reconfiguration strategy can effectively improve the supply and demand coordination ability of the power system, with promotion of the consumption on renewable energy, to enhance the stability and flexibility of the distribution network and reduce the economic loss of power system operation.</p>

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Distribution Network Reconfiguration Based on Collaborative Optimization Including Source-Load Uncertainty and Demand Response with Energy Storage Access

  • 期刊论文

  • 发表日期：

    2025年8月5日

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  • Ling Lu,
  • Hongwei Xu,
  • Hui Ma,
  • Yang Lu,
  • Deli Bu,
  • Yi Li

摘要

In order to promote the distribution network high-quality development under current situation, and to build a flexible and intelligent power system including supply-demand coordination, the novel reconfiguration method on distribution network is proposed in this paper, which is based on the collaborative optimization strategy considering the uncertainty on both source and load along with demand response, meanwhile energy storage equipment is accessed into this advanced distribution network system. Firstly, the probability model of the power output on both source and load of the distribution network system is established. For the uncertainty of distributed power access and the random characteristics of load fluctuation, Latin hypercube sampling method is used to analyze the multiple uncertainty. Secondly, the improved K-means clustering algorithm is applied to reduce the classical power output scenario of source and load, so as to generate the typical source-load joint output timing scenario. Then, considering the multi-period demand response in the model and the accessed energy storage equipment, the distribution network model is reconstructed by utilizing the collaborative optimization strategy with the goal to optimize system operation cost. Meanwhile the model is transformed by the second-order cone convex relaxation and linear programming method, and the model is solved by CPLEX and YALMIP. Finally, the simulation results based on the IEEE 33 node system show that the proposed distribution network reconfiguration strategy can effectively improve the supply and demand coordination ability of the power system, with promotion of the consumption on renewable energy, to enhance the stability and flexibility of the distribution network and reduce the economic loss of power system operation.