基于多智能体竞价均衡的微电网优化运行方法
发布时间：2019-08-05 10:30
【摘要】：随着电力市场化改革及微电网商业化的发展,传统微电网运行控制方式及电价机制难适应新的环境。该文提出一种基于多智能体竞价均衡的微电网优化方法,该方法采用多智能体模拟微电网内的竞价,并支持微电网与传统大电网之间的互动。微电网运行过程中采用电价差异化运行方式,基于本地供电资源的竞价及大电网购售电价格信息确定内部清算电价,并指导微电网的优化运行,以解决输配分离后微电网内直供电价决策及市场环境下微电网内不同分布式电源投资主体的利益分配问题。最后通过算例分析,验证了所提算法的正确性和成本优化效果。
[Abstract]:With the development of power marketization reform and microgrid commercialization, the traditional microgrid operation control mode and electricity price mechanism are difficult to adapt to the new environment. In this paper, a microgrid optimization method based on multi-agent bidding equilibrium is proposed. In this method, the multi-agent is used to simulate the bidding in the microgrid, and the interaction between the microgrid and the traditional large power grid is supported. In the process of microgrid operation, the differential operation mode of electricity price is adopted, the internal clearing price is determined based on the bidding of local power supply resources and the purchase and sale price information of large power grid, and the optimal operation of microgrid is guided in order to solve the problem of direct supply electricity price decision in microgrid after transmission and distribution separation and the benefit distribution of different distributed power investment subjects in microgrid under the market environment. Finally, the correctness and cost optimization effect of the proposed algorithm are verified by an example.
【作者单位】： 天津大学智能电网教育部重点实验室;北卡罗来纳州立大学电气与计算机工程系;
【基金】：国家自然科学基金项目(51377119) 国家重点研发计划项目课题资助(2016YFB0901102)~~
【分类号】：TM727
[Abstract]:With the development of power marketization reform and microgrid commercialization, the traditional microgrid operation control mode and electricity price mechanism are difficult to adapt to the new environment. In this paper, a microgrid optimization method based on multi-agent bidding equilibrium is proposed. In this method, the multi-agent is used to simulate the bidding in the microgrid, and the interaction between the microgrid and the traditional large power grid is supported. In the process of microgrid operation, the differential operation mode of electricity price is adopted, the internal clearing price is determined based on the bidding of local power supply resources and the purchase and sale price information of large power grid, and the optimal operation of microgrid is guided in order to solve the problem of direct supply electricity price decision in microgrid after transmission and distribution separation and the benefit distribution of different distributed power investment subjects in microgrid under the market environment. Finally, the correctness and cost optimization effect of the proposed algorithm are verified by an example.
【作者单位】： 天津大学智能电网教育部重点实验室;北卡罗来纳州立大学电气与计算机工程系;
【基金】：国家自然科学基金项目(51377119) 国家重点研发计划项目课题资助(2016YFB0901102)~~
【分类号】：TM727
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