丁筱, 郭创新. 考虑市场环境的多微网分散协同调度方法[J]. 现代电力, 2020, 37(3): 221-229. DOI: 10.19725/j.cnki.1007-2322.2019.0284
引用本文: 丁筱, 郭创新. 考虑市场环境的多微网分散协同调度方法[J]. 现代电力, 2020, 37(3): 221-229. DOI: 10.19725/j.cnki.1007-2322.2019.0284
DING Xiao, GUO Chuangxin. Decentralized Synergetic Dispatching Method for Multi-microgrid under Market Environment[J]. Modern Electric Power, 2020, 37(3): 221-229. DOI: 10.19725/j.cnki.1007-2322.2019.0284
Citation: DING Xiao, GUO Chuangxin. Decentralized Synergetic Dispatching Method for Multi-microgrid under Market Environment[J]. Modern Electric Power, 2020, 37(3): 221-229. DOI: 10.19725/j.cnki.1007-2322.2019.0284

考虑市场环境的多微网分散协同调度方法

Decentralized Synergetic Dispatching Method for Multi-microgrid under Market Environment

  • 摘要: 多微网系统接入配电网后,会对配网运行造成较大影响,该文结合市场环境下双边交易模式,提出含多微网主动配电系统的双层优化模型。下层优化模型为多微网分散协同调度,采用原对偶内点法求解微网公共连接点的节点电价,同时设计了一种分散式的协同调度策略以确定微网间的交换功率,从而实现多微网系统的经济运行;上层优化模型为配网运行优化,针对多微网接入后带来的配电网运行问题,建立了一种以配电网网损最低为目标函数的配电网重构模型,并采用二进制粒子群算法求解该模型,得到了配网运行的最优方案。通过两层优化实现了含互联微网配电系统的安全经济运行。最后,以3个互联微网系统接入IEEE 33节点配电系统为例,验证了所提调度方法的有效性和合理性。

     

    Abstract: The multi-microgrid system will have a great impact on the distribution network operation when connected with that. Aiming at this problem, based on the bilateral transaction mode under the market environment, this paper proposed a two-layer dispatching optimization model of active distribution system integrated with multi-microgrid. The lower layer of the optimization model was a decentralized synergetic scheduling for multi-microgrid and the primal-dual interior point method was used to solve locational margin price (LMP) of the multi-microgrid at common connection point (PCC). Meanwhile a decentralized cooperative scheduling strategy was designed to determine the exchange power between microgrids to realize the economic operation of multi-microgrid. The upper distribution system reconfiguration model was to optimize the grid loss to alleviate the operational risk brought by the multi-microgrid integration. The optimal operation scheme was obtained by binary particle swarm optimization (BPSO) algorithm. The safe and economic operation of distribution system integrated with multi-microgrid was realized through two layers of optimization. Finally, three interconnected micro-grids were embedded to the IEEE 33-node distribution system as an example to verify the effectiveness and rationality of the proposed scheduling method.

     

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