Case studies on a MG system demonstrate the effectiveness of the proposed approach. This paper proposes a new data-driven approach for two-stage operation of a microgrid (MG) towards optimized
Unlike existing research that only considers electro-heat coupling, our model integrates shared energy storage services into an integrated energy system, reflecting a more realistic future
It proposes a robust two-stage multi-integrated energy microgrid–SES coordinated operation optimization strategy.
This paper presents a novel multi-objective stochastic optimization model for the optimal operation of a coalition of interconnected smart microgrids, integrating renewable energy resources...
In response to the growing integration of renewable energy and the associated challenges of grid stability, this paper introduces an model predictive control (MPC) strategy for energy storage
Resilience, efficiency, sustainability, flexibility, security, and reliability are key drivers for microgrid developments. These factors motivate the need for integrated models and tools for microgrid
e control (MPC) approach is innovatively proposed in accommodating the real-time energy management of microgrids with battery ESS. Firstly. a real-time operation model of battery, including the
In response to the adverse impact of uncertainty in wind and photovoltaic energy output on microgrid operations, this paper introduces an Enhanced Whale Optimization Algorithm (EWOA)
In order to solve the dilemma of achieving local high energy efficiency in multi-energy microgrids, which require large-capacity ESS and involve high investment costs, Ref. [13] proposed
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