Abstract
Constructing microgrids with renewable energy systems could be one feasible solution to increase the penetration of renewable energy. With proper control of the battery energy storage system (BESS) and thermostatically controlled loads (TCLs) in such microgrids, the variable and intermittent energy can be smoothed and utilized without the interference of the main power grid. In this paper, a decentralized control strategy for a microgrid consisting of a distributed generator (DG), a battery energy storage system, a solar photovoltaic (PV) system and thermostatically controlled loads is proposed. The control objective is to maintain the desired temperature in local buildings at a minimum cost. Decentralized control algorithm involving variable structure controller and dynamic programming is used to determine suitable control inputs of the distributed generator and the battery energy storage system. The model predictive control approach is utilized for long-term operation with predicted data on solar power and outdoor temperature updated at each control step.
Highlights
The inherent variability and intermittency of renewable power could be the major issue to hinder its penetration
With an initial battery energy state of 120 kWh, the control inputs for the battery energy storage system (BESS) and the distributed generator (DG) solved with the proposed strategy are summarized in BESS can be observed over this period
Once the energy stored in the BESS reaches a relatively lower state, the DG becomes the leading supplier to the thermostatically controlled loads (TCLs) afterward
Summary
The inherent variability and intermittency of renewable power could be the major issue to hinder its penetration. One feasible solution is to construct more microgrids integrated with battery energy storage systems (BESSs) and renewable energy systems (RESs), which allows the renewable energy to be smoothed and used locally without interfering with the utility power grid [1]. The paper [1] proposed an energy trading strategy for a microgrid They considered different electricity prices from six RESs at different dispatching intervals to determine the actions of a BESS to meet the power demand at a minimum cost. An energy scheduling model of microgrids with renewable generations and BESSs is proposed in [3], in which the storage system is considered as the spinning reserve to smooth the power fluctuations due to the intermittent renewable generators, and the authors utilized chance-constrained programming to solve the stochastic optimization problem efficiently. A bi-level energy scheduling strategy for microgrids with battery
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
