考虑可削减负荷参与的含风光储微网经济优化调度
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(1.上海电力学院上海高校高效电能应用工程研究中心,上海 200090;2.国网上海市电力公司培训中心,上海 200438;3.国网安徽省电力公司检修公司,安徽 合肥 230000;4.国网阜阳供电公司,安徽 阜阳 236017)

作者简介:

李东东(1976-),男,通信作者,博士,教授,研究方向为智能用电、风力发电及电压稳定等方面;E-mail:upwgrp@163.com
徐连连(1990-),女,硕士,研究方向为智能用电、微网优化运行。E-mail:xulianlian567@126.com

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基金项目:

国家自然科学基金(51207088、51507100);上海市科学技术委员会资助项目(15YF1404600、14DZ1201602、13DZ2251900)


Optimal dispatching of microgrid considering the participation of reducible loads, distributed generators (DG) and energy storage units
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(1. Shanghai Higher Institution Engineering Research Center of High Efficiency Electricity Application, Shanghai University of Electric Power, Shanghai 200090, China;2. Training center of State Grid Shanghai Municipal Electric Power Company, Shanghai 200438, China;3. Maintenance Company, State Grid Anhui Electric Power Company, Hefei 230000, China;4. State Grid Fuyang Power Supply Company, Fuyang 236017, China)

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    摘要:

    现有的微网经济运行大都以分布式电源及储能单元为可控变量进行优化调度,对微网负荷资源的管理关注较少。首先提出了微网中可削减负荷补偿代价模型,其次以微网运行一天综合经济成本最低为目标建立了可削减负荷、分布式电源、燃料电池联合优化调度的四种模式。以一典型微网系统为例,在Matlab环境下编写了优化算法程序,针对四种模式建立了能量优化调度策略,分析了四种模式下微网优化运行结果。仿真结果表明,微网与主网间的能量双向交互能明显降低微网的运行成本,可削减负荷的参与能够有效提高微网运行的经济性。此外,优化模型为微网中联合优化调度进一步发展提供参考依据。

    Abstract:

    Most of the existed economic operations of microgrid are using distributed generator (DG) and energy storage unit as controllable devices for optimization scheduling, while there is little focus on load resources management. So that, a compensation model for reducible loads is presented, with four different optimal dispatching models consisting of reducible loads, distributed generators (DG) and energy storage units being built. Taking a typical microgrid system for example, four different optimal models are simulated and analyzed in Matlab environment. The results show that, the microgrid operation cost can be reduced when the two-way interaction between the microgrid and main network is available, and the economy of microgrid operation can be improved greatly with the participation of reducible loads. The optimal model can provide basis for further development of the microgrid. This work is supported by National Natural Science Foundation of China (No. 51207088 and No. 51507100) and Shanghai Committee of Science and Technology (No. 15YF1404600, No. 14DZ1201602, and No. 13DZ2251900).

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李东东,徐连连,刘翔,等.考虑可削减负荷参与的含风光储微网经济优化调度[J].电力系统保护与控制,2017,45(2):35-41.[LI Dongdong, XU Lianlian, LIU Xiang, et al. Optimal dispatching of microgrid considering the participation of reducible loads, distributed generators (DG) and energy storage units[J]. Power System Protection and Control,2017,V45(2):35-41]

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  • 收稿日期:2016-01-21
  • 最后修改日期:2016-05-17
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  • 在线发布日期: 2017-01-20
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