Day-Ahead Optimal Scheduling for a Full-Scale PV–Energy Storage Microgrid: From Simulation to Experimental Validation

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Dades bibliogràfiques
Publicat a:	Electronics vol. 14, no. 8 (2025), p. 1509
Autor principal:	Wang, Zixuan
Altres autors:	Shi Libao
Publicat:	MDPI AG
Matèries:	Linear programming Electrical loads Distributed generation Energy sources Integer programming Optimization Solar power generation Batteries Energy storage Energy resources Energy consumption Photovoltaic cells Optimization models Mathematical programming Scheduling Simulation Dynamic programming Solar energy Neural networks Electricity Renewable resources Effectiveness Resource scheduling Algorithms Mixed integer Alternative energy sources Operating costs
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Descripció
Resum:	Microgrids facilitate the complementary and collaborative operation of various distributed energy resources. Implementing effective day-ahead scheduling strategies can significantly enhance the economic efficiency and operational stability of microgrid systems. In this study, the long short-term memory (LSTM) neural network is first employed to forecast photovoltaic (PV) power generation and load demand, using operational data from a full-scale microgrid system. Subsequently, an optimization model for a full-scale PV–energy storage microgrid is developed, integrating a PV power generation system, a battery energy storage system, and a specific industrial load. The model aims to minimize the total daily operating cost of the system while satisfying a set of system operational constraints, with particular emphasis on the safety requirements for grid exchange power. The formulated optimization problem is then transformed into a mixed-integer linear programming (MILP) model, which is solved using a computational solver to derive the day-ahead economic scheduling scheme. Finally, the proposed scheduling scheme is validated through field experiments conducted on the full-scale PV–energy storage microgrid system across various operational scenarios. By comparing the simulation results with the experimental outcomes, the effectiveness and practicality of the proposed day-ahead economic scheduling scheme for the microgrid are demonstrated.
ISSN:	2079-9292
DOI:	10.3390/electronics14081509
Font:	Advanced Technologies & Aerospace Database