A Biased Min-Consensus-Based Approach for Optimal Power Transaction in Multi-Energy-Router Systems

作     者：Shi, Xiaoying Xu, Yinliang Sun, Hongbin 

作者机构：Tsinghua Berkeley Shenzhen Inst Shenzhen Environm Sci & New Energy Technol Engn L Shenzhen 518055 Guangdong Peoples R China Tsinghua Berkeley Shenzhen Inst Shenzhen 518055 Guangdong Peoples R China Tsinghua Univ Dept Elect Engn State Key Lab Power Syst Beijing 100084 Peoples R China 

出 版 物：《IEEE TRANSACTIONS ON SUSTAINABLE ENERGY》 (IEEE Trans. Sustainable Energy)

年 卷 期：2020年第11卷第1期

页      面：217-228页

核心收录：

学科分类：0820[工学-石油与天然气工程] 0808[工学-电气工程] 08[工学] 

基　　金：National Natural Science Foundation of China Science, Technology and Innovation Commission of Shenzhen Municipality [JCYJ20170411152331932] 

主　　题：Microgrids Erbium Power markets Routing Propagation losses Topology Power transaction optimal routing algorithm DC microgrid discrete biased min-consensus energy router (ER) 

摘      要：The advent of distributed energy resources encourages the direct energy transaction among grid subscribers, who may play interchangeable roles as energy producers and consumers (prosumers). Since microgrids integrated with distributed energy resources (DERs) can offer diverse options, it is desirable to design a proper energy transaction protocol to minimize the cost of prosumers. This paper proposes a discrete biased min-consensus algorithm to discover the best supply candidate with minimum power loss. The proposed discrete approach is implemented based on the multi-energy-router system (MERS) by performing three types of consensus-based algorithms in a distributed manner. Major procedures include demand request broadcasting, transmission power loss calculation, and the optimal routing discovery. The convergence of the proposed discrete approach is proved by rigorous mathematical analysis. Simulations demonstrate the effectiveness of the proposed discrete approach for both small- and large-scale systems.