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基于多主体合作运营的微电网日前优化调度

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分布式电源优化调度可以有效减少传统发电带来的环境污染,在一定程度上降低电网负荷供电成本.将风光可再生能源及电池储能共同纳入到微电网日前优化调度中,在深入研究不同主体协调运行特性的基础上,构建微电网多主体合作运营框架,并针对代表外部大电网的配电网运营商、代表负荷用电的负荷聚合商、代表可再生能源与储能装置的分布式电源运营商 3 个合作运营主体分别建立相应的效用函数.选择某地区的负荷及微电网运行数据为实际算例,通过对比 3 种不同模式下可再生能源利用限制、微电网与主网功率交换约束的调度模型,分析不同模式下风光可再生能源、蓄电池的利用情况及负荷供电成本.通过CPLEX仿真平台搭建仿真模型验证,结果表明,所建多主体合作运营框架对微电网日前调度具有良好的优化效果.
Day-Ahead Optimal Scheduling of Microgrid Based on Multi-Agent Cooperative Operation
The optimal scheduling of distributed generation can effectively reduce the environmental pollution caused by traditional generation,and also reduce the load power supply cost of the whole power grid to a certain extent.Wind and solar renewable energy and battery energy storage are jointly included in the day-ahead optimal scheduling of microgrid.Based on the in-depth study of the co-ordinated operation characteristics of different agents,the multi-agent cooperative operation of microgrid is constructed.Corresponding utility functions are established for three cooperative operators,namely distribution network operators representing external large power grids,load aggregators representing load power consumption,and distributed power operators representing renewable energy and ener-gy storage devices.It selectes the load and microgrid operation data in a certain area an actual example.By comparing the use limits of renewable energy under three different modes,scheduling models of power exchange constraint between microgrid and main network,it analyzes the utilization of wind and solar renewable energy,battery and load power supply cost under different modes.The simula-tion model built on the CPLEX simulation platform verifies that the multi-agent cooperative operation model has a good optimization effect on the daily scheduling of microgrid.

microgriddistributed energyday-ahead optimal schedulingenergy storage technologymulti-agent cooperative opera-tion

刘炬、刘云飞、刘燕燕、夏克勤、徐达

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国网荆门供电公司,湖北 荆门 448001

中国地质大学(武汉)自动化学院,湖北 武汉 430074

微电网 分布式能源 日前优化调度 储能技术 多主体合作运营

2025

东北电力技术
东北电网有限公司,辽宁省电力有限公司

东北电力技术

影响因子:0.744
ISSN:1004-7913
年,卷(期):2025.46(1)