Long-term cross-border electricity trading model under the background of Global Energy Interconnection  

作　　者：Fu Chen Kun Huang Yunting Hou Tao Ding 

机构地区：[1]Global Energy Interconnection Development and Cooperation Organization [2]School of Electrical Engineering,Xi'an Jiaotong University

出　　处：《Global Energy Interconnection》2019年第2期122-129,共8页全球能源互联网（英文版）

基　　金：supported in part by National Natural Science Foundation of China(Grant 51607137);in part by China Postdoctoral Science Foundation(2017T100748);in part by the Global Energy Interconnection Group’s Science&Technology Project "The development path for electricity market and key mechanisms for grid interconnection in the context of global clean energy development"(52450018000J)

摘　　要：Environmental problems caused by traditional power production and the unbalanced distribution of energy resources and demand limit the development of sustainable societies. A feasible method to optimize the resource allocation has been proposed, and it involves cross-border and cross-regional electricity transactions. However, the uncertainty of renewable energy and the specific features of the cross-border electricity market are key issues which need to be considered in the trading mechanism design. Based on this, this paper sets up a long-term cross-border electricity trading model considering the uncertainty of renewable energy. First, annual transactions are matched according to the declared data of bidders with consideration of cross-border interconnection development benefits, potential benefit risks, and transmission costs. Second, for annual contract decomposition, the model uses the minimum generation cost function with a penalty item for power shortages to allocate electricity to each month. Additionally, the scenario reduction algorithm is combined with the unit commitment to construct a stochastic generation plan. Finally, a case study of the numerical results for the multinational electricity market in northeast Asia is used to show that the proposed trading model is feasible for cross-border electricity trading with high penetration of renewable energy.Environmental problems caused by traditional power production and the unbalanced distribution of energy resources and demand limit the development of sustainable societies. A feasible method to optimize the resource allocation has been proposed, and it involves cross-border and cross-regional electricity transactions. However, the uncertainty of renewable energy and the specific features of the cross-border electricity market are key issues which need to be considered in the trading mechanism design. Based on this, this paper sets up a long-term cross-border electricity trading model considering the uncertainty of renewable energy. First, annual transactions are matched according to the declared data of bidders with consideration of cross-border interconnection development benefits, potential benefit risks, and transmission costs. Second, for annual contract decomposition, the model uses the minimum generation cost function with a penalty item for power shortages to allocate electricity to each month. Additionally, the scenario reduction algorithm is combined with the unit commitment to construct a stochastic generation plan. Finally, a case study of the numerical results for the multinational electricity market in northeast Asia is used to show that the proposed trading model is feasible for cross-border electricity trading with high penetration of renewable energy.

关 键 词：GLOBAL ENERGY INTERCONNECTION PUMPED storage Uncertainty Scenario reduction Stochastic programming 

分 类 号：TK[动力工程及工程热物理]