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This paper presents a new approach to optimize the size of on-grid renewable energy systems integrated to pumped storage system using Salp Swarm Algorithm (SSA). This approach allows the examination of various energy sources and their combination to handle the optimal configuration of the hybrid system. The simulation and optimization process of the studied system have been carried out by MATLAB programming. The impact of the system under study on the grid is examined according to the power exchange values between the system and the grid. Moreover, different scenarios have been introduced for optimal operation. The simulation results indicate that these hybrid systems can reduce power exchange with the grid and ensure that the proposed system is economically and environmentally feasible. Furthermore, the results indicate the technical feasibility of seawater hydroelectric power plants in increasing the capacity of the electric grid to allow for high penetration of RES. Finally, the results showed that the best minimum value of the objective function is 3.9113 and showed that CO2 emission can be reduced about 29.65% per year compared to the conventional power plants.<\/jats:p>","DOI":"10.3233\/jifs-192017","type":"journal-article","created":{"date-parts":[[2020,7,16]],"date-time":"2020-07-16T10:43:59Z","timestamp":1594896239000},"page":"1521-1536","source":"Crossref","is-referenced-by-count":3,"title":["Sizing and optimization of on-grid hybrid renewable energy systems considering hydroelectric energy storage"],"prefix":"10.1177","volume":"40","author":[{"given":"Jian","family":"Yang","sequence":"first","affiliation":[{"name":"Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, Wuhan, China"}]},{"given":"Jihua","family":"Han","sequence":"additional","affiliation":[{"name":"State Grid Hubei Jingmen Power Supply Company, Jingmen, China"}]},{"given":"Tong","family":"Wu","sequence":"additional","affiliation":[{"name":"State Grid Liaoning Electric Power Supply Company, LTD, Shenyang, Liaoning, China"}]},{"given":"Hao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Henan XJ Metering Company, LTD, Xuchang, Henan, China"}]},{"given":"Lixia","family":"Shang","sequence":"additional","affiliation":[{"name":"State Grid Fushun Electric Power Supply Company, Fushun, Liaoning, China"}]}],"member":"179","reference":[{"key":"10.3233\/JIFS-192017_ref1","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.energy.2020.117170","article-title":"A two-stage stochastic framework for effective management of multiple energy carriers","volume":"197","author":"Mohamed","year":"2020","journal-title":"Energy"},{"issue":"3","key":"10.3233\/JIFS-192017_ref2","doi-asserted-by":"crossref","first-page":"4043","DOI":"10.3233\/JIFS-190213","article-title":"A new sizing and optimization framework for stand-alone hybrid renewable energy systems","volume":"37","author":"Xia","year":"2019","journal-title":"Journal of Intelligent & Fuzzy Systems"},{"issue":"5","key":"10.3233\/JIFS-192017_ref3","doi-asserted-by":"crossref","first-page":"2143","DOI":"10.3233\/IFS-130889","article-title":"Hopfield neural networks approach for design optimization of hybrid power systems with multiple renewable energy sources in a fuzzy environment","volume":"26","author":"Ganesan","year":"2014","journal-title":"Journal of Intelligent & Fuzzy Systems"},{"key":"10.3233\/JIFS-192017_ref4","doi-asserted-by":"crossref","first-page":"548","DOI":"10.1016\/j.solener.2014.03.011","article-title":"Design of hybrid power generation systems based on multi criteria decision analysis","volume":"105","author":"Alsayed","year":"2014","journal-title":"Solar Energy"},{"key":"10.3233\/JIFS-192017_ref5","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.rser.2018.03.047","article-title":"Battery energy storage system size determination in renewable energy systems: A review","volume":"91","author":"Yang","year":"2018","journal-title":"Renewable and Sustainable Energy Reviews"},{"key":"10.3233\/JIFS-192017_ref6","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1016\/j.applthermaleng.2017.05.017","article-title":"Multi-objective optimal component sizing of a hybrid ICE+PV\/T driven CCHP microgrid","volume":"122","author":"Yousefi","year":"2017","journal-title":"Applied Thermal Engineering"},{"key":"10.3233\/JIFS-192017_ref7","doi-asserted-by":"crossref","first-page":"47807","DOI":"10.1109\/ACCESS.2020.2978789","article-title":"A Secured Energy Management Architecture for Smart Hybrid Microgrids Considering PEM-Fuel Cell and Electric Vehicles","volume":"8","author":"Gong","year":"2020","journal-title":"IEEE Access"},{"key":"10.3233\/JIFS-192017_ref8","doi-asserted-by":"crossref","first-page":"515","DOI":"10.1016\/j.rser.2017.04.048","article-title":"Swarm intelligence-based optimization of grid-dependent hybrid renewable energy systems","volume":"77","author":"Mohamed","year":"2017","journal-title":"Renewable and Sustainable Energy Reviews"},{"key":"10.3233\/JIFS-192017_ref9","doi-asserted-by":"crossref","first-page":"1026","DOI":"10.1016\/j.renene.2015.05.022","article-title":"Optimal design of hybrid renewable energy systems in buildings with low to high renewable energy ratio","volume":"83","author":"Sharafi","year":"2015","journal-title":"Renewable Energy"},{"key":"10.3233\/JIFS-192017_ref10","doi-asserted-by":"crossref","unstructured":"Mart\u00ednez-D\u00edaz M. , Villaf\u00e1fila-Robles R. , Montesinos-MiracleD. and Sudri\u00e0-AndreuA., (2013, March). 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