Coordinated Optimal Planning of Generation and Storage in Hybrid AC/DC Micro-grid

Abstract

The hybrid AC/DC micro-grid that integrates AC and DC micro-grid, including a variety of distributed generation, energy storage devices, load, lead the trend of micro-grid. To improve the operation economic efficiency and acceptance of renewable energy source of the hybrid AC/DC micro-grid, it is necessary to configure battery energy storage system for distributed generation. In this paper, a mix integer optimization model of generation and storage is proposed for the hybrid AC/DC micro-grid to determine the optimal configuration of generation and storage. Taking the minimum cost of generation and storage investment as well as the minimum operation cost of power generation and purchase and sale of electricity, the dynamic characteristics of generators and storage devices are taken into consideration, and the power loss through AC/DC converter is taken into account. The model is solved as a mixed integer optimization based on Benders Decomposition algorithm. The numerical study shows that the optimal configuration of coordinated generation and storage can effectively save the investment cost of AC/DC hybrid micro-grid, which verifies the validity of the proposed model.