Economic dispatch of multimicrogrid interconnected system based on bilevel robust optimization

Le résumé fourni par la source

Driven by the accelerated advancement of microgrid technologies and the surging demand for regional power supply assurance, multi-microgrid (MMG) systems confront significant operational challenges pertaining to economic efficiency and power supply reliability. Based on the assumption that the microgrid adopts the grid-connected mode, this study proposes a bi-level robust optimization framework for interconnected system coordination to address the inherent stochasticity of renewable energy generation in MMG collaborative operations. Primarily, a microgrid-level robust optimization model is formulated to identify adverse boundary conditions through operating cost maximization under internal uncertainty scenarios, thereby yielding a day-ahead scheduling strategy that achieves optimal balance between conservativeness and economic viability. Subsequently, a cooperative optimization paradigm for MMG systems is developed, which enables spatio-temporal optimization of cross-microgrid resource allocation through rigorous analysis of energy exchange constraints and distribution network interconnection dynamics. The solution methodology employs a column-and-constraint generation (C&CG) algorithm integrated with strong duality theory, implementing a master-subproblem alternating iteration mechanism for model decomposition. The simulation results demonstrate that the established multi-microgrid interconnected system can reduce the overall operational cost of the microgrid cluster by up to 28.9%, validating its significant economic and robustness advantages under conditions of electricity price fluctuations.

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