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文章摘要
基于用户侧需求响应的互联微电网研究
On microgrid interconnection research based on demand side response
Received:March 02, 2018  Revised:March 02, 2018
DOI:10.19753/j.issn1001-1390.2019.010.006
中文关键词: 动态电价,微电网互联,需求侧响应,互联优化
英文关键词: Dynamic  pricing, micro-grid  interconnection, demand  response, management  optimization
基金项目:国家自然科学基金青年项目(51607087)
Author NameAffiliationE-mail
Zhang Qiaolai* Nanjing University of Aeronautics and Astronautics,College of Automation Engineering,Jiangsu Nanjing zhangqiaolai@outlook.com 
Ma Yundong Nanjing University of Aeronautics and Astronautics,College of Automation Engineering,Jiangsu Nanjing kyleo@nuaa.edu.cn 
Wang Yu Nanjing University of Aeronautics and Astronautics,College of Automation Engineering,Jiangsu Nanjing yuwang15@nuaa.edu.cn 
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中文摘要:
      微电网是利用分布式能源尤其是可再生能源的有效途径之一。但是风能和太阳能较高波动性使微电网难以保持发电和需求侧的功率平衡,这也直接导致了运行成本高和用户体验差等结果。针对这个问题,本文提出了结合微电网互联和动态电价的解决策略。首先,微电网互联可以使临近微电网电能相互补充。其次,动态电价可以引导用户从负载侧进行优化,同时二者相互关联、互相促进。通过动态电价使微电网电能状态达到一个新平衡点,微电网运营商根据这个平衡状态决定购电电能的方向与大小,以最大化自身利益。仿真结果表明,基于微电网互联和动态电价的策略可以有效的缓解供需侧不平衡的问题,同时用户的参与度越大,优化效果越好。
英文摘要:
      Microgrids are one of the most effective ways in which renewable resources are utilized. The fluctuations of wind power and solar power make it hard to maintain the balance between generation and demand, which raises operating cost and bad experiences of users. To solve this problem, we propose a strategy which combines the micro-grid interconnections and dynamic pricing. First, the interconnected micro-grids are spare to each other. Second, spot price can make people who are sensitive to the energy price change their power use. And the interconnection and dynamic pricing correlates to each other towards a better result. This strategy will change the micro-grids to a new equilibrium point, and operators of microgrids will decide which direction to buy or sell to maximize its own benefits based on new equilibriums. Simulation results show that the combination of interconnection and spot pricing can relieve the stress of matching problem and the more positive users are in demand response, the better optimization results will be.
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