| 引用本文: | 李驰宇,高红均,刘友波,刘俊勇,任文诗,刘向龙.多园区微网优化共享运行策略[J].电力自动化设备,2020,40(3): |
| LI Chiyu,GAO Hongjun,LIU Youbo,LIU Junyong,REN Wenshi,LIU Xianglong.Optimal sharing operation strategy for multi park-level microgrid[J].Electric Power Automation Equipment,2020,40(3): |
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| 摘要: |
| 在清洁能源大量接入的情况下，园区微网用户从单一的传统用能用户转变成生产消费型用户，与电网之间的关系从单向关系变成双向关系，用户行为会对电力系统以及电力市场产生一定影响，基于此构建了多园区微网优化共享运行策略。各园区微网在充分考虑其余园区微网用能特征的情况下，以清洁能源最大化消纳以及自身利益最大化为目标制定整体运行策略，并构建两阶段鲁棒模型优化内部清洁能源出力不确定性、燃气轮机以及柔性负荷调节能力和运行约束等问题，通过列约束算法对模型进行进一步处理后，最终得出最优运行策略。此外，考虑到各园区微网利益存在冲突，构建多园区微网间合作博弈决策平台，以实现多园区微网之间合作与博弈的平衡。 |
| 关键词: 多园区微网 合作博弈 优化共享 鲁棒优化 电力市场 |
| DOI：10.16081/j.epae.202002029 |
| 分类号:TM727;F123.9 |
| 基金项目:国家自然科学基金资助项目(51807125)；中央高校基本科研业务费专项基金资助项目(YJ201750) |
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| Optimal sharing operation strategy for multi park-level microgrid |
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LI Chiyu, GAO Hongjun, LIU Youbo, LIU Junyong, REN Wenshi, LIU Xianglong
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Provincial-level Key Laboratory of Smart Grid, College of Electrical Engineering, Sichuan University, Chengdu 610065, China
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| Abstract: |
| In the case of high penetration of renewable energy sources, the park-level microgrid users might change from traditional energy users to energy prosumers. The interaction between the microgrid users and the main grid will become bi-directional instead of traditional single-direction. Hence, the behavior of energy users can more or less impact the power system operations and the electricity market. Under this background, a multi park-level microgrid optimization and sharing operation strategy is proposed. Each park-level microgrid determines its own operation strategy with the consideration of characteristics of other park-level microgrid energy users, which maximizes the consumption of renewable energy sources and maximizes their own interests. At the same time, a two-stage robust operation model is developed to address the uncertainty of renewable energy production, in which the operation constraints of gas-fired units and flexible electricity demands are included. By using column constraint algorithm, the optimal operation strategy is obtained. Additionally, a multi park-level microgrid cooperative game decision-making platform is proposed, which considers the conflict of interests in each multi park-level microgrid, so that the balance between cooperation and game among multi park-level microgrids is achieved. |
| Key words: multi park-level microgrid cooperative game optimal sharing robust optimization electricity market |
