Distributed Energy Storage Scheduling Optimization Based on Improved Multi-agent Deep Deterministic Policy Gradient Algorithm
The core of current energy storage scheduling optimization is to achieve multi-timescale collaborative decision-making through intelligent algorithms to improve system economy and reliability, and accelerate its evolution towards market-oriented and large-scale applications. This study is designed to develop a scenario...