Scheduling

Microgrid Optimization Scheduling Model

A multi-strategy Improved Multi-Objective Particle Swarm Algorithm (IMOPSO) method for microgrid operation optimization is proposed for the coordinated optimization problem of microgrid economy and environmental protection. A grid-connected microgrid model containing. . Under the dual pressures of energy shortages and environmental challenges, the microgrid, as a distributed energy system integrating multiple energy resources, has become one of the key technologies for the efficient use of new energy and intelligent dispatching. With the aim of reducing operating costs and carbon emissions. . To optimize the objective function, an Improved Dung Beetle Optimization algorithm (IDBO) is proposed. Whenever the algorithm experiences a new state–action pair, this experience is recorded as part of the training data.

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