This scheme addresses the challenge of intermittent energy generation uncertainty affecting grid reliability by proposing a multi-objective robust optimization method: establishing a multi-energy joint optimization model including uncertainty costs; using large-system decomposition and coordination techniques to reduce computational complexity; and to solve flexible adjustable uncertainty sets for optimal Pareto solution sets. This method breaks the dependence of traditional stochastic optimization on probability density functions, achieving multi-energy optimization in uncertain environments.

Technology provider:Nanjing University of Posts and Telecommunications