Planning framework of the residential-scale microgrid with battery storage

摘要

This paper presents the planning framework for integration of renewable energy resources and battery storage device in a residential-scale microgrid. The proposed algorithm combines time-series meteorological data and dispatched information, conducting the demand response control strategies of an energy management system, into an optimization framework for system planning. The optimization technique achieves near-optimal capacity allocation of renewable energy resources and storages. Three typical scenarios with different feed-in tariff and electricity fee are investigated and discussed to demonstrate the economic effectiveness of the proposed framework applied to future residential microgrid planning.