| To solve the complex dispatch problem due to the increasing penetration of distributed energy resources in distribution system, a frame of decentralized autonomous risk-based self-healing technique is proposed in electricity market environment. Risk-based dispatch theory is considered to improve the traditional self-healing method. The dispatch problem among interconnected multiple microgrids is difficult to optimize straightly for its non-cooperative features. We study an decentralized autonomous energy management pattern of interconnected microgrids (MGs) based on prosumer and spot trading mechanism. The decentralized synergetic decision-making greatly reduces the control difficulty and the flexibility and extendibility of active distribution network could be significantly guaranteed and enhanced attributed to the proposed decentralized dispatch strategy. This strategy, integrating a bi-lateral electricity market, takes full consideration of the market law, furnishing gist for economic dispatch of distribution network by exploring the essence of power transaction and active energy management as well. A new two-level optimization algorithm is presented to realize the proposed strategy: in the lower-level local marginal price and supply/demand curves of MGs are exchanged to seek the equilibrium point of interconnected MGs by synergy. In the upper-level primal-dual interior-point method is employed to optimize the injection powers of MGs and flows of tie-lines. The simulation results demonstrate the correctness of proposed strategy and the effectiveness of its application in real-time dispatch for global optimization of distribution network. Lastly, the multi-agent system is introduced and we analyzed the advantages and disadvantages of different organizational structures of MAS. A framework of decentralized energy management system based on hybrid MAS is researched with JADE. We design the specific function of each agent in the system for future work. |
PDF Full Text Request