基于最优路径的多微网能源调度研究
摘要:为提高清洁能源的利用率和减少能源损耗，提出了基于路径最优的多微电网系统的能源调度策略。单微电网由光伏、风电、蓄电池以及燃气轮机等设备组成。在多微电网并网运行的条件下，建立多微网系统双层优化调度模型。第1层调度以维护费用、燃料费用、蓄电池损耗费用、污染物治理费用及功率交互费用最低为目标，采用群集蜘蛛优化算法求解第1层1个周期内各分布式发电单元的最优出力及总运行成本。第2层调度在第1层调度的优化结果之上考虑各微电网之间以及与大电网之间能量调度的损耗，以各电网之间交互成本最低为目标函数，采用蚁群算法选择损耗最小的最优路径，实现多微网间的能量互济。最后采用基于IEEE 9节点的并网型多微电网系统进行能源调度验证，结果表明：该方法能有效减小各微电网功率互济过程中的能量损耗，节约成本，网损由1 379 kW降低为905 kW，成本由17 578元降低为13 443元。
Abstract：To improve the utilization rate of clean energy and reduce energy losses, an energy dispatch strategy based on path optimality for multi-microgrid system is proposed. The single microgrid is composed of photovoltaic, wind power, storage battery, gas turbine and other equipment. Under the condition that multi-microgrid is connected to the grid, a two-layer optimal scheduling model of multi-microgrid system is established. The objective function of the first-layer scheduling is to minimize the maintenance cost, fuel cost, battery loss cost, pollutant treatment cost and power interaction cost, and the swarming spider optimization algorithm is adoted to solve the optimal output and total operation cost of each distributed generation unit in one cycle of the first layer. Based on the optimization results of the first layer scheduling, the second layer scheduling takes into account the energy scheduling losses between each microgrid and the large grid, and takes the minimum interaction cost between each grid as the objective function, adopts the ant colony algorithm to select the optimal path with the minimum loss, so as to realize the energy exchange among the multi-microgrids. Finally, a grid-connected multi-microgrid system based on IEEE 9-node is used for energy scheduling verification. The results show that the proposed method can effectively reduce the energy loss in the process of power mutual supply of each microgrid, and save the cost. The network loss is reduced from 1 379 kW to 905 kW, and the cost is reduced from 17 578 yuan to 13 443 yuan.
标题：基于最优路径的多微网能源调度研究
title:Research on Energy Scheduling of Multi-Microgrid Based on Optimal Path
作者：张羽,李春华,马浩东,付林瑶
authors:ZHANG Yu,LI Chunhua,MA Haodong,FU Linyao
关键词：多微网,群集蜘蛛优化算法,双层调度,最优路径,能量互济,
keywords:multi-microgrid,swarming spider optimization algorithm,hierarchical scheduling,optimal path,mutual energy exchange,
发表日期：2022-12-19
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