Zonally Robust Decentralized Optimization for Global Energy Interconnection: Case Study on Northeast Asian Countries

Nowadays, the entire world faces challenges in energy and environment. To resolve these problems, the power systems are interconnected to promote the development of renewable energy sources (RESs). However, the economic dispatch problem for the global energy interconnection (GEI) should tackle two issues: 1) handle the uncertainty from RES and allocate the responsibility among the interconnected countries; 2) protect the information privacy through the dispatch. Motivated by the above, this paper proposes a zonally adjustable robust decentralized economic dispatch model for the GEI. In the model, each country is only responsible for its own uncertainty, and tie-line power flows remain unchanged under uncertainties. Moreover, an alternating direction method of multipliers (ADMM)-based fully distributed algorithm is utilized, in which only limited information should be exchanged between neighbor countries. Finally, a case study on the Northeast Asian countries verifies the effectiveness of the proposed method.