Open AccessOptimal energy management for PV‐integrated residential systems including energy storage system
Author(s) -
Varzaneh S. Ghafouri,
Raziabadi A.,
Hosseinzadeh Mohammad,
Sanjari Mohammad J.
Publication year - 2021
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/rpg2.12002
Subject(s) - energy management , photovoltaic system , energy management system , computer science , energy storage , smart grid , state of charge , profit (economics) , prosumer , automotive engineering , management system , matlab , environmental economics , renewable energy , reliability engineering , battery (electricity) , energy (signal processing) , engineering , operations management , electrical engineering , operating system , power (physics) , physics , quantum mechanics , statistics , mathematics , economics , microeconomics
Economic profit is the main incentive for PV‐integrated residential prosumers, so energy management algorithms play a key role in these systems. The main priority of conventional rule‐based energy management systems (REMS) is to supply the demand. As a result, the total amount of energy sold to the distribution network, and consequently the user profit in such systems, is not considerable. This study proposes a smart energy management system (SEMS) for optimal energy management in a grid‐connected residential photovoltaic (PV) system, including battery as an energy storage unit. The proposed method, which is simulated by MATLAB, using real values for load and PV characteristics, will result in achieving an economic plan for battery operation based on a discretised state of charge of the battery. Experimental tests, carried out to verify the simulation results, demonstrate a noticeable increase in the prosumer benefits as well as the load profile correction compared to the classic energy management algorithms.