Open AccessReview on the state‐of‐the‐art multi‐objective optimisation of hybrid standalone/grid‐connected energy systems
Author(s) -
Khezri Rahmat,
Mahmoudi Amin
Publication year - 2020
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2020.0453
Subject(s) - renewable energy , hybrid system , computer science , grid , dependency (uml) , reliability engineering , mathematical optimization , engineering , mathematics , artificial intelligence , electrical engineering , geometry , machine learning
Integration of renewable and energy storage components in standalone/grid‐connected energy systems, which results in hybrid energy systems, is increasing nowadays. Optimisation of hybrid energy systems is an essential matter for economic, clean, convenient and reliable energy supply. Since the optimal design should satisfy multiple objectives, application of multi‐objective optimisation is preferred rather than a single‐objective solution. By multi‐objective optimisation, a trade‐off among different objectives can be obtained. This study presents a timely survey on the state‐of‐the‐art in multi‐objective optimal design of hybrid standalone/grid‐connected energy systems. The existing literature is categorised by various indices: (i) standalone or grid‐connected mode; (ii) number and type of objective functions; (iii) completely renewable‐based or diesel‐renewable‐based hybrid systems; and (iv) multi‐energy systems. The applied objective functions, design constraints and decision variables in the optimisation of hybrid energy systems are addressed. It is found that the recent objective functions like customer satisfaction and grid‐dependency need further investigation in the multi‐objective design procedure.