Coordinated scheduling of renewable energy micro-grids through coupled energy flow and battery delivery logistics

With the rapid penetration of new energy sources into urban distribution networks (DNs), the load curve of DNs is exhibiting a “valley” characteristic, placing higher grid connection requirements on market participants. This paper focuses on micro-grids (MGs) and, driven by the objectives of peak shaving and carbon reduction, proposes a joint scheduling model for multi-MGs based on battery distribution and circulation. The model aims to address the challenges of energy exchange and collaboration, which are caused by long distances between some MGs and the immature peer-to-peer trading mechanisms. Firstly, a dynamic electricity purchase and sale price mechanism is designed according to the next day’s peak shaving demand of the distribution grid, guiding the MG to enhance grid-friendly power integration. Secondly, we propose a joint optimization strategy for multiple MGs, achieving cross-regional energy exchange through the flow of batteries of MGs. To address the shortcomings in existing research regarding the coupling of energy scheduling and logistics scheduling, this paper considers the coupling relationship between the two in terms of energy and dispatch periods, optimizing both the day-ahead energy scheduling of each MG and the logistics strategy for battery delivery. Through case analysis, the proposed model is validated for its excellence in grid friendliness and carbon reduction.