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一种市场环境下的电网友好型多微网优化调度方法
引用本文:米师农,张建成,郭伟. 一种市场环境下的电网友好型多微网优化调度方法[J]. 电力建设, 2018, 39(6): 117. DOI: 10.3969/j.issn.1000-7229.2018.06.015
作者姓名:米师农  张建成  郭伟
作者单位:(华北电力大学电气与电子工程学院, 河北省保定市 071003)
摘    要:摘 要:针对配电网中的多微网系统,提出了一种市场环境下的电网友好型优化调度方法,并建立了日前双层优化调度模型。首先构建了配电网层优化调度模型,通过优化各微网的出力,在保证可再生能源发电比例的同时,减小输电网与微电网向配电网注入功率的波动性,提高配电网运行的经济性,从而提高电力系统接纳微电网的积极性,有助于市场环境下微电网的运行与发展。其次,在微网层,采用多场景技术描述光伏与风电出力的随机性,并将微电网与配电网视为不同的利益主体,设计动态电价激励机制,引导微电网按照配电网需求优化出力,从而建立微网层的经济与环保优化调度模型,协调分布式电源出力。采用模拟退火算法求解模型,仿真算例验证了模型的合理性与有效性。

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Grid-friendly Optimal Scheduling Method for Multi-microgrid System in Electricity Marketing Environment
MI Shinong,ZHANG Jiancheng,GUO Wei. Grid-friendly Optimal Scheduling Method for Multi-microgrid System in Electricity Marketing Environment[J]. Electric Power Construction, 2018, 39(6): 117. DOI: 10.3969/j.issn.1000-7229.2018.06.015
Authors:MI Shinong  ZHANG Jiancheng  GUO Wei
Abstract:In this paper, a grid-friendly optimal scheduling method in electricity market environment is proposed formulti-microgrid system in distribution network, and a day-ahead double-layer scheduling model is established. The paper first constructs the optimization model of distribution network, which reduces the fluctuation of the injection power from transmission network and microgrids to distribution network and improves the economy of distribution network operation by optimizing the output of the microgrids as well as ensuring the proportion of renewable energy generation, so as to increase the enthusiasm of power system to accept microgrids, which is helpful to market operation and development of microgrids in electricity marketing environment. Secondly, in the microgrid layer, the randomness of solar and wind power is described with the multiple scenario technique. The microgrids and distribution network are regarded as different interest subjects and the incentive mechanism for dynamic electricity price is designed to guide the microgrid in accordance with the optimization of distribution network, so as to establish the economic and environmental optimization model of microgrids to coordinate the output of distributed generation. The simulated annealing algorithm is used to solve the model, and the simulation example verifies the rationality and validity of the model.
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