| 区块链支持下的微网电力市场设计及调度优化 |
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| 引用本文： | 杨明通,周步祥,董申,林楠,李祖钢,何飞宇.区块链支持下的微网电力市场设计及调度优化[J].电力自动化设备,2019,39(12). |
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| 作者姓名： | 杨明通 周步祥 董申 林楠 李祖钢 何飞宇 |
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| 作者单位： | 四川大学电气信息学院,四川成都,610065;国网四川省电力公司,四川成都,610041 |
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| 摘 要： | 为了发挥微网电力市场的活力,实现清洁能源的优化配置,在区块链支持下,针对微网电力市场的调度优化进行了研究。基于微网市场和区块链相似的网络拓扑结构,构建了基于区块链的微网市场总体框架。通过区块链管理平台获取数据信息,结合模型预测控制(MPC)方法,对微网市场调度运行进行优化。以IEEE 33节点系统为算例进行分析,结果验证了区块链支持下的微网交易模型的有效性,表明通过区块链管理平台结合MPC进行优化调度,增强了微网市场的鲁棒性,提高了电力交易过程中负荷功率预测的准确性以及能源利用率。
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| 关 键 词： | 区块链 微网 电力市场 MPC 智能合约 电力交易 调度优化 |
| 收稿时间： | 2019/5/21 0:00:00 |
| 修稿时间： | 2019/9/25 0:00:00 |
Design and dispatch optimization of microgrid electricity market supported by blockchain |
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| YANG Mingtong,ZHOU Buxiang,DONG Shen,LIN Nan,LI Zugang and HE Feiyu.Design and dispatch optimization of microgrid electricity market supported by blockchain[J].Electric Power Automation Equipment,2019,39(12). |
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| Authors: | YANG Mingtong ZHOU Buxiang DONG Shen LIN Nan LI Zugang and HE Feiyu |
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| Affiliation: | School of Electrical Engineering and Information Technology, Sichuan University, Chengdu 610065, China,School of Electrical Engineering and Information Technology, Sichuan University, Chengdu 610065, China,School of Electrical Engineering and Information Technology, Sichuan University, Chengdu 610065, China,State Grid Sichuan Electric Power Company, Chengdu 610041, China,School of Electrical Engineering and Information Technology, Sichuan University, Chengdu 610065, China and School of Electrical Engineering and Information Technology, Sichuan University, Chengdu 610065, China |
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| Abstract: | In order to give full play to the vitality of microgrid electricity market and realize the optimal allocation of clean energy, the dispatch optimization of microgrid electricity market is studied with the support of blockchain. Based on the similar network topology structure between microgrid market and blockchain, the overall framework of microgrid market based on blockchain is constructed. Data information is obtained through the blockchain management platform, combined with MPC(Model Predictive Control) method, the dispatch operation of the microgrid market is optimized. Taking the IEEE 33-bus system as an example, the results verify the validity of the proposed microgrid trading model supported by blockchain. It shows that the optimal dispatch based on the blockchain management platform and MPC enhances the robustness of the microgrid market, and improves the accuracy of load power prediction and energy efficiency in the power trading process. |
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| Keywords: | blockchain microgrid electricity market MPC smart contract electricity transaction dispatch optimization |
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