Optimization of Wind-Solar-Energy Storage Scheduling in Smart Grids

Abstract

The theme of this paper is the optimization scheduling of wind-solar-energy storage systems in relation to smart grids. It is a systematic study of the intermittency and uncertainty of wind and solar power generation, the bottlenecks in the functioning of the energy storage system, and the problem of multi-time-scale coordination. A multi-stage system of dispatch, incorporating forecasting, real-time rolling, and efficient optimization, is suggested, along with a multi-objective optimization model that balances economy, reliability, and environmental friendliness. The paper also discusses how the practice of dispatching is affected by various restraints, such as power equilibrium, equipment maintenance, the duration of energy storage, and the safety of power lines. It notes that in the future, there is a need to have recourse to such technologies as deep reinforcement learning and digital twins and to operate with flexible market mechanisms and carbon trading policies, to facilitate the efficient, safe and low-carbon functioning of wind-solar-energy storage systems, which gives the provisions of theories and applicable paths towards the creation of new power systems. Essentially, the optimum dispatch of wind-solar-energy storage systems requires additional enhancements in the study of wind-solar-energy storage forecasting technologies, the development of better mechanisms for multi-time-scale coordination, market exploration, interdisciplinary improvement, and the consistent innovation and perfection of wind-solar-energy storage optimization scheduling mechanisms.