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Energy-Reserve Co-Optimization for Energy Internet Considering Reserve Control Zone Determination

Considering complicated existing couplings between different networks, the operating and dispatching under Energy Internet meet more difficulties. This paper presents an energy-reserve co-optimization model for Energy Internet to balance various load demand while withstand N-1 outages with the least operational cost. To address the problem of computational complexity, a reserve control zone determination method based on kruskal's algorithm has been proposed to narrow responsive reserve zone and simplify N-1 outage constraints. The energy-reserve co-optimization model with simplified N-1 outage constraints has been performed on a test energy system including IEEE 39-bus power system and a 15-node natural gas network. According to the optimal results, though the simplified method increases 7% operational cost, it can also totally reduce 27% N-1 constraints, which demonstrates the effectiveness of proposed method in improving the computation efficiency.