Robust Optimal Dispatching of Integrated Energy System Based on Confidence Gap Decision

In order to achieve the robust optimal dispatching of integrated energy system, a new confidence gap decision (CGD) theory based on robust driving was proposed in this paper by combining the confidence interval of Gaussian mixed probability model with the robust idea of information gap decision theory (IGDT). Considering the comprehensive optimization objectives of maximizing exergy efficiency and minimizing operating cost, a multi-objective robust optimization dispatching model of integrated energy system based on CGD was established. Moreover, the chance constraints in CGD model were transformed into equivalent deterministic constraints according to uncertainty theory, and a new adaptive harmonic aliasing multi-objective compound differential evolution algorithm was designed to solve the model efficiently. The proposed CGD model can not only reduce the conservativeness of conventional robust decision, but also overcomes the roughness of uncertain set and the subjectivity of objective deviation factor in IGDT model, so that a more reasonable and accurate uncertainty optimization dispatching could be achieved. Finally, the effectiveness and superiority of the proposed method are verified by example analysis. © 2021 Chin. Soc. for Elec. Eng.