Abstract
This paper presents the improvements of the hosting capacity of photovoltaics (PVs) and electric vehicles (EVs) in a stand-alone microgrid (MG) with an energy storage system (ESS) by consider-ing a model predictive control (MPC) based energy management system. The system is configured as an MG, including PVs, an ESS, a diesel generator (DG), and several loads with EVs. The DG is controlled to operate at rated power and the MPC algorithm is used in a stand-alone MG, which supplies the energy demanded for several loads with EVs. The hosting capacity of the load in-cluding the EV and PVs can be expanded through the ESS to the terminal node of the microgrid. In this case, the PVs and the load can be connected in excess of the capacity of the diesel genera-tor, and each bus in the feeder complies with the voltage range required by the grid. The effec-tiveness of the proposed algorithm to resolve the hosting capacity is demonstrated by numerical simulations.
Highlights
The goal of reducing greenhouse gas emissions is to shift focus toward more environmentally friendly and sustainable energy sources
electric vehicles (EVs) chargers are connected toprotection the standcoordination within the low voltage distribution system (LVDS), when the power consumed by the load alone MG, we propose a power control scheme using an energy storage system (ESS) to solve the hosting capacity increases, thevariation voltage drop and maymultiple escape the lower and when and voltage issuesdeepens for cases where
If PVs supplies a lot of power during the day, overvoltage may occur for the customer, and EV charging in the evening may cause under voltage for the customer
Summary
The goal of reducing greenhouse gas emissions is to shift focus toward more environmentally friendly and sustainable energy sources. This paper proposes an energy management system (EMS) to increase the capacity of photovoltaics (PVs) and customers’ load with EVs in a stand-alone MG [5,6]. Various approaches to the energy management phase have been released to solve this power flow optimization, such as heuristic algorithms [9], off-line optimization [10] and model predictive control (MPC) [11,12]. Simulation results show that the proposed MPC algorithm can improve PVs and EV hosting capacity and effectively control the power flow and voltage. The paper is organized as follows: Section 2 presents the power control of an ESS for hosting capacity in a stand-alone MG and Section 3 proposes the MPC based EMS in a stand-alone MG.
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
