风光储一体化的煤矿井下电网优化调度策略

Optimization and Scheduling Strategy for Coal Mine Underground Power Grid with Wind,Solar and Energy Storage Integration

深入探讨了煤矿井下电网中风光储一体化系统的优化调度策略,通过高效整合风能、太阳能等可再生能源与储能技术,提升煤矿井下生产的能源自给率、运行经济性和环境友好性。为了构建一个能够灵活应对资源波动、降低对化石燃料依赖的煤矿井下电网系统,提出了一种风光储一体化的煤矿井下电网优化调度模型。首先,对风光储一体化煤矿井下电网进行了构建,分析了风光储一体化建模;随后,对风光储一体化的煤矿井下电网优化调度模型进行求解。该模型综合考虑了经济成本最小化、能源利用效率最大化、煤矿井下电网稳定性及可靠性等多个维度。通过改进的粒子群算法,实现了对风光储资源的精确预测与最优调度。

Explored in depth the optimization scheduling strategy of integrating wind,solar and energy storage systems in coal mine underground power grid.By efficiently integrating renewable energy sources such as wind and solar energy,and energy storage technologies,it improves the energy self-sufficiency,operational economy and environmental friendliness of coal mine underground production.In order to construct a coal mine underground power grid system that can flexibly respond to resource fluctuations and reduce dependence on fossil fuels,a coal mine underground power grid optimization and scheduling model with the integration of wind,solar and energy storage has been proposed.Firstly,constructed an integrated underground power grid for wind,solar and energy storage in coal mine and analyzed the modeling of wind,solar and energy storage integration.Subsequently,the optimization and scheduling model of the coal mine underground power grid with the integration of wind,solar and energy storage was solved.This model comprehensively considers multiple dimensions such as minimizing economic costs,maximizing energy utilization efficiency,and ensuring the stability and reliability of the coal mine underground power grid.Through an improved particle swarm algorithm,accurate prediction and optimal scheduling of wind,solar and energy storage resources were achieved.