{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T12:33:23Z","timestamp":1770467603186,"version":"3.49.0"},"reference-count":36,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2025,1,4]],"date-time":"2025-01-04T00:00:00Z","timestamp":1735948800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2025,1,4]],"date-time":"2025-01-04T00:00:00Z","timestamp":1735948800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"Fayoum University"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Fuzzy Syst."],"published-print":{"date-parts":[[2025,11]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>AI-based optimal power management and online control of the storage system of the renewable energy microgrid in conjunction with the main grid that can respond instantaneously to any change in the load demand optimally and economically are the main target of this work. A novel online optimal control methodology depending on crossbreeding between the fuzzy logic and a nature-inspired technique has been proposed to determine the optimal time of carrying out the charging or discharging of the microgrid storage system and the required percentage of both of them in addition to the determination of the source of charging and the destination of discharging dynamically and economically at each time step to meet the varying of the load demand with minimum operating costs. A developed mathematical formula has been introduced to control the dynamic operation of the microgrid\u2019s storage system. It has changed relying on the created fuzzy rules which provides outstanding accuracy for this complicated time-varying process. Furthermore, simultaneous optimal power management between the power generation as well as the storage system of the renewable microgrid and the main grid has been accomplished optimally and economically via a meta-heuristic optimizer named hunger games optimizer. The accuracy of the new methodology has been proved via a fair comparison with the previously published methods after implementing them on the same bases.<\/jats:p>","DOI":"10.1007\/s40815-024-01924-8","type":"journal-article","created":{"date-parts":[[2025,1,4]],"date-time":"2025-01-04T18:16:25Z","timestamp":1736014585000},"page":"2622-2636","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["A Novel Real-Time Fuzzy-Based Optimal Control of the Charging Cycle of a Renewable Energy Microgrid Storage System"],"prefix":"10.1007","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1907-665X","authenticated-orcid":false,"given":"Ahmed","family":"Osama","sequence":"first","affiliation":[]},{"given":"Dalia","family":"Allam","sequence":"additional","affiliation":[]},{"given":"Magdy B.","family":"Eteiba","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,1,4]]},"reference":[{"key":"1924_CR1","doi-asserted-by":"publisher","first-page":"1089","DOI":"10.1016\/j.apenergy.2018.12.050","volume":"236","author":"T Adefarati","year":"2019","unstructured":"Adefarati, T., Bansal, R.C.: Reliability, economic and environmental analysis of a microgrid system in the presence of renewable energy resources. Appl. Energy 236, 1089\u20131114 (2019)","journal-title":"Appl. Energy"},{"key":"1924_CR2","doi-asserted-by":"crossref","unstructured":"Ahmad, H., Ahmad, A., Ahmad, S.: Efficient energy management in a microgrid. In: 2018 International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET), IEEE, pp 1\u20135 (2018)","DOI":"10.1109\/PGSRET.2018.8685946"},{"key":"1924_CR3","doi-asserted-by":"publisher","first-page":"746","DOI":"10.1016\/j.renene.2019.01.005","volume":"136","author":"MA Hossain","year":"2019","unstructured":"Hossain, M.A., Pota, H.R., Squartini, S., et al.: Two-level energy management strategy for pv-fuel cell-battery-based dc microgrid. Renew. Energy 136, 746\u2013757 (2019)","journal-title":"Renew. Energy"},{"issue":"33","key":"1924_CR4","doi-asserted-by":"publisher","first-page":"14146","DOI":"10.1016\/j.ijhydene.2013.08.106","volume":"38","author":"P Garcia","year":"2013","unstructured":"Garcia, P., Torreglosa, J.P., Fernandez, L.M., et al.: Optimal energy management system for stand-alone wind turbine\/photovoltaic\/hydrogen\/battery hybrid system with supervisory control based on fuzzy logic. Int. J. Hydrogen Energy 38(33), 14146\u201314158 (2013)","journal-title":"Int. J. Hydrogen Energy"},{"issue":"1","key":"1924_CR5","doi-asserted-by":"publisher","first-page":"595","DOI":"10.1109\/TIE.2006.885471","volume":"54","author":"M Tekin","year":"2007","unstructured":"Tekin, M., Hissel, D., Pera, M.C., et al.: Energy-management strategy for embedded fuel-cell systems using fuzzy logic. IEEE Trans. Indust. Electron. 54(1), 595\u2013603 (2007)","journal-title":"IEEE Trans. Indust. Electron."},{"issue":"8","key":"1924_CR6","doi-asserted-by":"publisher","first-page":"1643","DOI":"10.1109\/TNNLS.2016.2514358","volume":"27","author":"GK Venayagamoorthy","year":"2016","unstructured":"Venayagamoorthy, G.K., Sharma, R.K., Gautam, P.K., et al.: Dynamic energy management system for a smart microgrid. IEEE Trans. Neural Netw. Learn. Syst. 27(8), 1643\u20131656 (2016). https:\/\/doi.org\/10.1109\/TNNLS.2016.2514358","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"1","key":"1924_CR7","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1016\/j.ijepes.2012.05.023","volume":"43","author":"N Gudi","year":"2012","unstructured":"Gudi, N., Wang, L., Devabhaktuni, V.: A demand side management based simulation platform incorporating heuristic optimization for management of household appliances. Int. J. Electrical Power Energy Syst. 43(1), 185\u2013193 (2012)","journal-title":"Int. J. Electrical Power Energy Syst."},{"key":"1924_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.simpat.2023.102726","volume":"124","author":"H Abouobaida","year":"2023","unstructured":"Abouobaida, H., de Oliveira-Assis, L., Soares-Ramos, E.P., et al.: Energy management and control strategy of dc microgrid based hybrid storage system. Simul. Model. Pract. Theor. 124, 102726 (2023)","journal-title":"Simul. Model. Pract. Theor."},{"key":"1924_CR9","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1016\/j.scs.2018.05.044","volume":"41","author":"Y Zhang","year":"2018","unstructured":"Zhang, Y., Meng, F., Wang, R., et al.: A stochastic MPC based approach to integrated energy management in microgrids. Sustain. Cities Soc. 41, 349\u2013362 (2018)","journal-title":"Sustain. Cities Soc."},{"key":"1924_CR10","doi-asserted-by":"publisher","first-page":"120774","DOI":"10.1109\/ACCESS.2021.3101839","volume":"9","author":"YO Shaker","year":"2021","unstructured":"Shaker, Y.O., Yousri, D., Osama, A., et al.: Optimal charging\/discharging decision of energy storage community in grid-connected microgrid using multi-objective hunger game search optimizer. Ieee Access 9, 120774\u2013120794 (2021)","journal-title":"Ieee Access"},{"key":"1924_CR11","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1016\/j.simpat.2018.09.006","volume":"89","author":"X Yan","year":"2018","unstructured":"Yan, X., Abbes, D., Francois, B.: Development of a tool for urban microgrid optimal energy planning and management. Simul. Model. Pract. Theor. 89, 64\u201381 (2018)","journal-title":"Simul. Model. Pract. Theor."},{"key":"1924_CR12","doi-asserted-by":"crossref","unstructured":"Squartini, S., Boaro, M., De\u00a0Angelis, F., et\u00a0al.: Optimization algorithms for home energy resource scheduling in presence of data uncertainty. In: 2013 Fourth International Conference on Intelligent Control and Information Processing (ICICIP), IEEE, pp 323\u2013328 (2013)","DOI":"10.1109\/ICICIP.2013.6568091"},{"key":"1924_CR13","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1016\/j.simpat.2014.12.002","volume":"52","author":"KH Chang","year":"2015","unstructured":"Chang, K.H., Lin, G.: Optimal design of hybrid renewable energy systems using simulation optimization. Simul. Model. Practi. Theor. 52, 40\u201351 (2015)","journal-title":"Simul. Model. Practi. Theor."},{"key":"1924_CR14","doi-asserted-by":"publisher","first-page":"256","DOI":"10.1016\/j.scs.2016.09.017","volume":"28","author":"M Marzband","year":"2017","unstructured":"Marzband, M., Alavi, H., Ghazimirsaeid, S.S., et al.: Optimal energy management system based on stochastic approach for a home microgrid with integrated responsive load demand and energy storage. Sustain. Cities Soc. 28, 256\u2013264 (2017)","journal-title":"Sustain. Cities Soc."},{"key":"1924_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.simpat.2023.102749","volume":"125","author":"R\u0130 Kayaalp","year":"2023","unstructured":"Kayaalp, R.\u0130, Cuma, M.U., T\u00fcmay, M.: A new rule-based self-reconfigurable energy management control of grid and batteries connected hybrid regenerative solar power system for critical loads. Simul. Model. Pract. Theor. 125, 102749 (2023)","journal-title":"Simul. Model. Pract. Theor."},{"key":"1924_CR16","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1016\/j.ijepes.2012.11.023","volume":"48","author":"D Fuselli","year":"2013","unstructured":"Fuselli, D., De Angelis, F., Boaro, M., et al.: Action dependent heuristic dynamic programming for home energy resource scheduling. Int. J. Electrical Power Energy Syst. 48, 148\u2013160 (2013)","journal-title":"Int. J. Electrical Power Energy Syst."},{"issue":"3","key":"1924_CR17","doi-asserted-by":"publisher","first-page":"2216","DOI":"10.1109\/TIA.2020.2968534","volume":"56","author":"F Hafiz","year":"2020","unstructured":"Hafiz, F., Awal, M., de Queiroz, A.R., et al.: Real-time stochastic optimization of energy storage management using deep learning-based forecasts for residential pv applications. IEEE Trans. Indus. Appl. 56(3), 2216\u20132226 (2020)","journal-title":"IEEE Trans. Indus. Appl."},{"key":"1924_CR18","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11356-018-3003-1","volume":"26","author":"AAZ Diab","year":"2019","unstructured":"Diab, A.A.Z., Sultan, H.M., Kuznetsov, O.N.: Optimal sizing of hybrid solar\/wind\/hydroelectric pumped storage energy system in Egypt based on different meta-heuristic techniques. Environ. Sci. Pollut. Res. 26, 1\u201323 (2019)","journal-title":"Environ. Sci. Pollut. Res."},{"key":"1924_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2020.123406","volume":"278","author":"M Jahannoosh","year":"2021","unstructured":"Jahannoosh, M., Nowdeh, S.A., Naderipour, A., et al.: New hybrid meta-heuristic algorithm for reliable and cost-effective designing of photovoltaic\/wind\/fuel cell energy system considering load interruption probability. J. Clean. Prod. 278, 123406 (2021)","journal-title":"J. Clean. Prod."},{"key":"1924_CR20","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2019.113723","volume":"254","author":"MA Hossain","year":"2019","unstructured":"Hossain, M.A., Pota, H.R., Squartini, S., et al.: Energy scheduling of community microgrid with battery cost using particle swarm optimisation. Appl. Energy 254, 113723 (2019)","journal-title":"Appl. Energy"},{"issue":"5","key":"1924_CR21","doi-asserted-by":"publisher","first-page":"399","DOI":"10.1016\/0038-092X(93)90060-2","volume":"50","author":"JF Manwell","year":"1993","unstructured":"Manwell, J.F., McGowan, J.G.: Lead acid battery storage model for hybrid energy systems. Solar Energy 50(5), 399\u2013405 (1993)","journal-title":"Solar Energy"},{"key":"1924_CR22","doi-asserted-by":"publisher","first-page":"404","DOI":"10.1016\/j.enconman.2017.01.017","volume":"136","author":"S Nojavan","year":"2017","unstructured":"Nojavan, S., Zare, K., Mohammadi-Ivatloo, B.: Application of fuel cell and electrolyzer as hydrogen energy storage system in energy management of electricity energy retailer in the presence of the renewable energy sources and plug-in electric vehicles. Energy Conver. Manag. 136, 404\u2013417 (2017)","journal-title":"Energy Conver. Manag."},{"issue":"35","key":"1924_CR23","doi-asserted-by":"publisher","first-page":"19395","DOI":"10.1016\/j.ijhydene.2018.04.013","volume":"44","author":"Y Han","year":"2019","unstructured":"Han, Y., Chen, W., Li, Q., et al.: Two-level energy management strategy for pv-fuel cell-battery-based dc microgrid. Int. J. Hydrogen Energy 44(35), 19395\u201319404 (2019)","journal-title":"Int. J. Hydrogen Energy"},{"issue":"8","key":"1924_CR24","doi-asserted-by":"publisher","first-page":"6061","DOI":"10.1016\/j.ijhydene.2020.06.052","volume":"46","author":"AA Kamel","year":"2021","unstructured":"Kamel, A.A., Rezk, H., Abdelkareem, M.A.: Enhancing the operation of fuel cell-photovoltaic-battery-supercapacitor renewable system through a hybrid energy management strategy. Int. J. Hydrogen Energy 46(8), 6061\u20136075 (2021)","journal-title":"Int. J. Hydrogen Energy"},{"key":"1924_CR25","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1016\/j.energy.2015.12.133","volume":"98","author":"A Maleki","year":"2016","unstructured":"Maleki, A., Pourfayaz, F., Rosen, M.A.: A novel framework for optimal design of hybrid renewable energy-based autonomous energy systems: a case study for namin, iran. Energy 98, 168\u2013180 (2016)","journal-title":"Energy"},{"key":"1924_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106611","volume":"96","author":"M Jahannoush","year":"2020","unstructured":"Jahannoush, M., Nowdeh, S.A.: Optimal designing and management of a stand-alone hybrid energy system using meta-heuristic improved sine-cosine algorithm for recreational center, case study for iran country. Appl. Soft Comput. 96, 106611 (2020)","journal-title":"Appl. Soft Comput."},{"key":"1924_CR27","doi-asserted-by":"crossref","unstructured":"Shi, G., Wei, Q., Liu, D.: An adaptive dynamic programming based method for optimization of electricity consumption in office buildings. In: 2016 International Joint Conference on Neural Networks (IJCNN), IEEE, pp 4551\u20134556 (2016)","DOI":"10.1109\/IJCNN.2016.7727796"},{"issue":"2","key":"1924_CR28","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1007\/s12559-012-9191-y","volume":"5","author":"M Boaro","year":"2013","unstructured":"Boaro, M., Fuselli, D., De Angelis, F., et al.: Adaptive dynamic programming algorithm for renewable energy scheduling and battery management. Cognit. Comput. 5(2), 264\u2013277 (2013)","journal-title":"Cognit. Comput."},{"issue":"21","key":"1924_CR29","doi-asserted-by":"publisher","first-page":"6369","DOI":"10.1007\/s00500-016-2194-y","volume":"21","author":"G Shi","year":"2017","unstructured":"Shi, G., Wei, Q., Liu, D.: Optimization of electricity consumption in office buildings based on adaptive dynamic programming. Soft Comput. 21(21), 6369\u20136379 (2017)","journal-title":"Soft Comput."},{"key":"1924_CR30","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2020.102658","volume":"66","author":"MA Hossain","year":"2021","unstructured":"Hossain, M.A., Chakrabortty, R.K., Ryan, M.J., et al.: Energy management of community energy storage in grid-connected microgrid under uncertain real-time prices. Sustain. Cities Soci. 66, 102658 (2021)","journal-title":"Sustain. Cities Soci."},{"key":"1924_CR31","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.114864","volume":"177","author":"Y Yang","year":"2021","unstructured":"Yang, Y., Chen, H., Heidari, A.A., et al.: Hunger games search: visions, conception, implementation, deep analysis, perspectives, and towards performance shifts. Exp. Syst. Appl. 177, 114864 (2021)","journal-title":"Exp. Syst. Appl."},{"issue":"4","key":"1924_CR32","doi-asserted-by":"publisher","first-page":"5085","DOI":"10.1109\/TTE.2023.3238101","volume":"9","author":"S Hou","year":"2023","unstructured":"Hou, S., Yin, H., Pla, B., et al.: Real-time energy management strategy of a fuel cell electric vehicle with global optimal learning. IEEE Trans. Trans. Electr. 9(4), 5085\u20135097 (2023)","journal-title":"IEEE Trans. Trans. Electr."},{"key":"1924_CR33","doi-asserted-by":"publisher","DOI":"10.1016\/j.est.2022.106274","volume":"57","author":"R Gugulothu","year":"2023","unstructured":"Gugulothu, R., Nagu, B., Pullaguram, D.: Energy management strategy for standalone dc microgrid system with photovoltaic\/fuel cell\/battery storage. J. Energy Stor. 57, 106274 (2023)","journal-title":"J. Energy Stor."},{"key":"1924_CR34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-35378-9","volume-title":"Explainable Uncertain Rule-Based Fuzzy Systems","author":"JM Mendel","year":"2024","unstructured":"Mendel, J.M.: Explainable Uncertain Rule-Based Fuzzy Systems. Springer, Berlin (2024)"},{"issue":"6","key":"1924_CR35","doi-asserted-by":"publisher","first-page":"2163","DOI":"10.1007\/s40815-023-01534-w","volume":"25","author":"AK Varshney","year":"2023","unstructured":"Varshney, A.K., Torra, V.: Literature review of the recent trends and applications in various fuzzy rule-based systems. Int. J. Fuzzy Syst. 25(6), 2163\u20132186 (2023)","journal-title":"Int. J. Fuzzy Syst."},{"issue":"1","key":"1924_CR36","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1007\/s40815-022-01351-7","volume":"25","author":"O Castillo","year":"2023","unstructured":"Castillo, O., Castro, J.R., Melin, P.: Forecasting the covid-19 with interval type-3 fuzzy logic and the fractal dimension. Int. J. Fuzzy Syst. 25(1), 182\u2013197 (2023)","journal-title":"Int. J. Fuzzy Syst."}],"container-title":["International Journal of Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40815-024-01924-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s40815-024-01924-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40815-024-01924-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,25]],"date-time":"2025-11-25T15:33:43Z","timestamp":1764084823000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s40815-024-01924-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,4]]},"references-count":36,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2025,11]]}},"alternative-id":["1924"],"URL":"https:\/\/doi.org\/10.1007\/s40815-024-01924-8","relation":{},"ISSN":["1562-2479","2199-3211"],"issn-type":[{"value":"1562-2479","type":"print"},{"value":"2199-3211","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1,4]]},"assertion":[{"value":"3 February 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 September 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 November 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 January 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}