Mountain gazelle optimizer for standalone hybrid power system design incorporating a type of incentive-based strategies

The main objective of this research study is to improve the performance of a standalone hybrid power system (SHPS) that consists of photovoltaic modules (PVMs), wind turbines (WTs), battery system (BS), and diesel engine (DE). The emphasis is on optimizing the system's design by incorporating d...

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Vydáno v:	Neural computing & applications Ročník 36; číslo 12; s. 6839 - 6853
Hlavní autoři:	Abdelsattar, Montaser, Mesalam, Abdelgayed, Fawzi, Abdelrahman, Hamdan, I.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Springer London 01.04.2024 Springer Nature B.V
Témata:	Algorithms Artificial Intelligence Carbon dioxide Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Demand side management Design optimization Diesel engines Electricity Emissions Energy consumption Hybrid systems Image Processing and Computer Vision Load fluctuation Mathematical models Mountains Optimization algorithms Optimization techniques Original Article Performance enhancement Photovoltaic cells Pollutants Power supply Probability and Statistics in Computer Science Profitability Radiation Sizing Systems design Temperature Wind turbines Mountain gazelle optimizer Standalone hybrid power system Multi objectives optimization Optimal design
ISSN:	0941-0643, 1433-3058
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Abstract	The main objective of this research study is to improve the performance of a standalone hybrid power system (SHPS) that consists of photovoltaic modules (PVMs), wind turbines (WTs), battery system (BS), and diesel engine (DE). The emphasis is on optimizing the system's design by incorporating demand response strategies (DRSs). Incorporating these strategies into the system can enhance system performance, stability, and profitability while also reducing the capacity of SHPS components and, consequently, lowering consumers' bills. To achieve this objective, the sizing model incorporates a novel indicator called the load variation factor (LVF). This paper assesses and contrasts various scenarios, including SHPS without DRS, with DRS, and with DRS but no DE. In this article, interruptible/curtailable (I/C) as one of the DRSs is incorporated into the model used for sizing issues. A newly developed optimization algorithm called the mountain gazelle optimizer (MGO) is utilized for the multi-objective design of the proposed SHPS. The utilization of MGO will facilitate achieving the lowest possible values for each of the following: cost of energy (COE), loss of power supply probability (LPSP), and carbon dioxide (CO 2 ) emissions. This work introduces a mathematical model for the entire system, which is subsequently simulated using MATLAB software. The results reveal that among all the scenarios analysed, scenario iii — which has an LVF of 30% — is the most cost-effective. It has the lowest COE, at 0.2334 $/kWh, hence the lowest net present cost (NPC), at 6,836,445.5 $.
AbstractList	The main objective of this research study is to improve the performance of a standalone hybrid power system (SHPS) that consists of photovoltaic modules (PVMs), wind turbines (WTs), battery system (BS), and diesel engine (DE). The emphasis is on optimizing the system's design by incorporating demand response strategies (DRSs). Incorporating these strategies into the system can enhance system performance, stability, and profitability while also reducing the capacity of SHPS components and, consequently, lowering consumers' bills. To achieve this objective, the sizing model incorporates a novel indicator called the load variation factor (LVF). This paper assesses and contrasts various scenarios, including SHPS without DRS, with DRS, and with DRS but no DE. In this article, interruptible/curtailable (I/C) as one of the DRSs is incorporated into the model used for sizing issues. A newly developed optimization algorithm called the mountain gazelle optimizer (MGO) is utilized for the multi-objective design of the proposed SHPS. The utilization of MGO will facilitate achieving the lowest possible values for each of the following: cost of energy (COE), loss of power supply probability (LPSP), and carbon dioxide (CO 2 ) emissions. This work introduces a mathematical model for the entire system, which is subsequently simulated using MATLAB software. The results reveal that among all the scenarios analysed, scenario iii — which has an LVF of 30% — is the most cost-effective. It has the lowest COE, at 0.2334 $/kWh, hence the lowest net present cost (NPC), at 6,836,445.5 $. The main objective of this research study is to improve the performance of a standalone hybrid power system (SHPS) that consists of photovoltaic modules (PVMs), wind turbines (WTs), battery system (BS), and diesel engine (DE). The emphasis is on optimizing the system's design by incorporating demand response strategies (DRSs). Incorporating these strategies into the system can enhance system performance, stability, and profitability while also reducing the capacity of SHPS components and, consequently, lowering consumers' bills. To achieve this objective, the sizing model incorporates a novel indicator called the load variation factor (LVF). This paper assesses and contrasts various scenarios, including SHPS without DRS, with DRS, and with DRS but no DE. In this article, interruptible/curtailable (I/C) as one of the DRSs is incorporated into the model used for sizing issues. A newly developed optimization algorithm called the mountain gazelle optimizer (MGO) is utilized for the multi-objective design of the proposed SHPS. The utilization of MGO will facilitate achieving the lowest possible values for each of the following: cost of energy (COE), loss of power supply probability (LPSP), and carbon dioxide (CO2) emissions. This work introduces a mathematical model for the entire system, which is subsequently simulated using MATLAB software. The results reveal that among all the scenarios analysed, scenario iii — which has an LVF of 30% — is the most cost-effective. It has the lowest COE, at 0.2334 $/kWh, hence the lowest net present cost (NPC), at 6,836,445.5 $.
Author	Hamdan, I. Abdelsattar, Montaser Mesalam, Abdelgayed Fawzi, Abdelrahman
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Cites_doi	10.1049/iet-gtd.2015.0429 10.3390/en14123520 10.3390/su13095022 10.1109/ACCESS.2019.2936656 10.1016/j.egyr.2022.03.197 10.21608/svusrc.2023.240888.1153 10.3390/math10193708 10.1016/j.est.2019.100814 10.1016/j.scs.2021.103293 10.1007/s11356-019-06566-0 10.1002/er.6849 10.1016/j.energy.2018.12.049 10.1016/j.enconman.2023.116873 10.1007/s41660-022-00294-8 10.1016/j.advengsoft.2022.103282 10.1016/j.ijhydene.2022.10.271 10.1016/j.energy.2021.121166 10.1016/j.energy.2022.124089 10.1016/j.renene.2022.12.005 10.20508/ijrer.v10i4.11463.g8079 10.1016/j.enconman.2019.112027 10.1016/j.scs.2022.104298 10.1016/j.renene.2016.05.086 10.1063/5.0008065 10.3390/en14227599 10.1177/0309524X221084124 10.3390/en13143666 10.1109/ACCESS.2021.3052128 10.1109/MEPCON55441.2022.10021687 10.1109/ECCE44975.2020.9236381 10.1109/REEPE53907.2022.9731431 10.13016/M2F47GX8G
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References	Zaki Diab, Sultan, Mohamed, Kuznetsov Oleg, Do (CR34) 2019; 7 Eltamaly, Alotaibi, Alolah, Ahmed (CR12) 2021; 9 Javeed, Khezri, Mahmoudi, Yazdani, Shafiullah (CR17) 2021; 14 CR16 Lian, Zhang, Ma, Yang, Chaima (CR5) 2019; 199 CR13 CR33 Yazdani, Baneshi, Yaghoubi (CR30) 2023; 282 Gamil, Senjyu, Takahashi, Hemeida, Krishna, Lotfy (CR14) 2021; 75 Amara, Toumi, Ben Salah, Saidi (CR25) 2021; 233 Abd El Sattar, Hafez, Elbaset, Alaboudy (CR2) 2020; 10 Sugimura (CR19) 2020; 12 Gamil (CR15) 2020; 13 Diab, Sultan, Kuznetsov (CR24) 2020; 27 Islam (CR29) 2023; 7 Mahmoud (CR26) 2022; 8 CR3 Haghighat, Alberto, Escandon, Naja, Shirazi, Rinaldi (CR4) 2016; 97 Mahmoud, Abdelhamid, Al Sumaiti, El-Sayed, Diab (CR22) 2022; 10 Yahiaoui, Tlemçani (CR9) 2022; 46 CR7 Gharibi, Askarzadeh (CR20) 2019; 25 Abdelsattar, Mesalam, Fawzi, Hamdan (CR27) 2024; 5 Güven, Yörükeren, Samy (CR11) 2022; 253 CR21 Abdollahzadeh, Gharehchopogh, Khodadadi, Mirjalili (CR32) 2022; 174 Fodhil, Hamidat, Nadjemi (CR31) 2019; 169 Choi, Oh, Acquah, Kim, Kim (CR1) 2021; 13 Zhou, Xu (CR23) 2023; 202 Sharma, Bhattacharjee, Bhattacharya (CR8) 2016; 10 Akter, Howlader, Saber, Mandal, Takahashi, Senjyu (CR6) 2021; 14 Li, Zhao, Chen, Mao, Qu, Li (CR18) 2023; 48 Kamal, Ashraf, Fernandez (CR10) 2023; 88 Demolli, Dokuz, Ecemis, Gokcek (CR28) 2021; 45 A Yahiaoui (9433_CR9) 2022; 46 MM Kamal (9433_CR10) 2023; 88 AF Güven (9433_CR11) 2022; 253 M Sugimura (9433_CR19) 2020; 12 MM Gamil (9433_CR15) 2020; 13 9433_CR3 MM Gamil (9433_CR14) 2021; 75 H Demolli (9433_CR28) 2021; 45 9433_CR21 J Zhou (9433_CR23) 2023; 202 H Akter (9433_CR6) 2021; 14 9433_CR7 B Abdollahzadeh (9433_CR32) 2022; 174 F Fodhil (9433_CR31) 2019; 169 M Abd El Sattar (9433_CR2) 2020; 10 J Li (9433_CR18) 2023; 48 I Javeed (9433_CR17) 2021; 14 FS Mahmoud (9433_CR26) 2022; 8 9433_CR16 AAZ Diab (9433_CR24) 2020; 27 YJ Choi (9433_CR1) 2021; 13 FS Mahmoud (9433_CR22) 2022; 10 A Haghighat (9433_CR4) 2016; 97 H Yazdani (9433_CR30) 2023; 282 S Sharma (9433_CR8) 2016; 10 AA Zaki Diab (9433_CR34) 2019; 7 9433_CR33 9433_CR13 AM Eltamaly (9433_CR12) 2021; 9 J Lian (9433_CR5) 2019; 199 M Abdelsattar (9433_CR27) 2024; 5 S Amara (9433_CR25) 2021; 233 M Gharibi (9433_CR20) 2019; 25 MMM Islam (9433_CR29) 2023; 7
References_xml	– volume: 10 start-page: 625 issue: 3 year: 2016 end-page: 637 ident: CR8 article-title: Grey wolf optimisation for optimal sizing of battery energy storage device to minimise operation cost of microgrid publication-title: IET Gener Transm Distrib doi: 10.1049/iet-gtd.2015.0429 – volume: 14 start-page: 1 issue: 12 year: 2021 end-page: 19 ident: CR17 article-title: Optimal sizing of rooftop PV and battery storage for grid-connected houses considering flat and time-of-use electricity rates publication-title: Energies doi: 10.3390/en14123520 – ident: CR16 – volume: 13 start-page: 1 issue: 9 year: 2021 end-page: 18 ident: CR1 article-title: Optimal operation of a hybrid power system as an Island microgrid in South-Korea publication-title: Sustainability doi: 10.3390/su13095022 – ident: CR33 – volume: 7 start-page: 119223 year: 2019 end-page: 119245 ident: CR34 article-title: Application of different optimization algorithms for optimal sizing of PV/wind/diesel/battery storage stand-alone hybrid microgrid publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2936656 – volume: 8 start-page: 4935 year: 2022 end-page: 4956 ident: CR26 article-title: Optimal sizing of smart hybrid renewable energy system using different optimization algorithms publication-title: Energy Rep doi: 10.1016/j.egyr.2022.03.197 – volume: 5 start-page: 89 year: 2024 end-page: 98 ident: CR27 article-title: optimizing grid-dependent hybrid renewable energy system with the African vultures optimization algorithm publication-title: SVU-Int J Eng Sci Appl doi: 10.21608/svusrc.2023.240888.1153 – volume: 10 start-page: 1 issue: 19 year: 2022 end-page: 26 ident: CR22 article-title: Sizing and design of a PV-wind-fuel cell storage system integrated into a grid considering the uncertainty of load demand using the marine predators algorithm publication-title: Mathematics doi: 10.3390/math10193708 – volume: 25 start-page: 1 year: 2019 end-page: 12 ident: CR20 article-title: Size optimization of an off-grid hybrid system composed of photovoltaic and diesel generator subject to load variation factor publication-title: J Energy Storage doi: 10.1016/j.est.2019.100814 – volume: 75 start-page: 1 year: 2021 end-page: 16 ident: CR14 article-title: Optimal multi-objective sizing of a residential microgrid in Egypt with different ToU demand response percentages publication-title: Sustain Cities Soc doi: 10.1016/j.scs.2021.103293 – volume: 27 start-page: 32318 issue: 26 year: 2020 end-page: 32340 ident: CR24 article-title: Optimal sizing of hybrid solar/wind/hydroelectric pumped storage energy system in Egypt based on different meta-heuristic techniques publication-title: Environ Sci Pollut Res doi: 10.1007/s11356-019-06566-0 – ident: CR21 – volume: 45 start-page: 16155 issue: 11 year: 2021 end-page: 16175 ident: CR28 article-title: Location-based optimal sizing of hybrid renewable energy systems using deterministic and heuristic algorithms publication-title: Int J Energy Res doi: 10.1002/er.6849 – volume: 169 start-page: 613 year: 2019 end-page: 624 ident: CR31 article-title: Potential, optimization and sensitivity analysis of photovoltaic-diesel-battery hybrid energy system for rural electrification in Algeria publication-title: Energy doi: 10.1016/j.energy.2018.12.049 – volume: 282 start-page: 1 year: 2023 end-page: 20 ident: CR30 article-title: Techno-economic and environmental design of hybrid energy systems using multi-objective optimization and multi-criteria decision making methods publication-title: Energy Convers Manag doi: 10.1016/j.enconman.2023.116873 – volume: 7 start-page: 315 year: 2023 end-page: 328 ident: CR29 article-title: Techno-economic analysis of hybrid renewable energy system for healthcare centre in Northwest Bangladesh publication-title: Process Integr Optim Sustain doi: 10.1007/s41660-022-00294-8 – volume: 174 start-page: 1 year: 2022 end-page: 34 ident: CR32 article-title: mountain gazelle optimizer: a new nature-inspired metaheuristic algorithm for global optimization problems publication-title: Adv Eng Softw doi: 10.1016/j.advengsoft.2022.103282 – volume: 48 start-page: 4129 issue: 11 year: 2023 end-page: 4142 ident: CR18 article-title: Optimal sizing for a wind-photovoltaic-hydrogen hybrid system considering levelized cost of storage and source-load interaction publication-title: Int J Hydrog Energy doi: 10.1016/j.ijhydene.2022.10.271 – ident: CR3 – volume: 233 start-page: 1 year: 2021 end-page: 20 ident: CR25 article-title: Improvement of techno-economic optimal sizing of a hybrid off-grid micro-grid system publication-title: Energy doi: 10.1016/j.energy.2021.121166 – volume: 253 start-page: 1 year: 2022 end-page: 15 ident: CR11 article-title: Design optimization of a stand-alone green energy system of university campus based on Jaya-Harmony Search and Ant Colony optimization algorithms approaches publication-title: Energy doi: 10.1016/j.energy.2022.124089 – volume: 202 start-page: 1110 year: 2023 end-page: 1137 ident: CR23 article-title: Optimal sizing design and integrated cost-benefit assessment of stand-alone microgrid system with different energy storage employing chameleon swarm algorithm: a rural case in Northeast China publication-title: Renew Energy doi: 10.1016/j.renene.2022.12.005 – ident: CR13 – volume: 10 start-page: 1888 issue: 4 year: 2020 end-page: 1891 ident: CR2 article-title: Economic valuation of electrical wind energy in Egypt based on levelized cost of energy publication-title: Int J Renew Energy Res doi: 10.20508/ijrer.v10i4.11463.g8079 – volume: 199 start-page: 1 year: 2019 end-page: 23 ident: CR5 article-title: A review on recent sizing methodologies of hybrid renewable energy systems publication-title: Energy Convers Manag doi: 10.1016/j.enconman.2019.112027 – ident: CR7 – volume: 88 start-page: 1 year: 2023 end-page: 21 ident: CR10 article-title: Optimal sizing of standalone rural microgrid for sustainable electrification with renewable energy resources publication-title: Sustain Cities Soc doi: 10.1016/j.scs.2022.104298 – volume: 97 start-page: 293 year: 2016 end-page: 305 ident: CR4 article-title: Techno-economic feasibility of photovoltaic, wind, diesel and hybrid electrification systems for off-grid rural electrification in Colombia publication-title: Renew Energy doi: 10.1016/j.renene.2016.05.086 – volume: 12 start-page: 1 issue: 6 year: 2020 end-page: 12 ident: CR19 article-title: Optimal sizing and operation for microgrid with renewable energy considering two types demand response publication-title: J Renew Sustain Energy doi: 10.1063/5.0008065 – volume: 14 start-page: 1 issue: 22 year: 2021 end-page: 23 ident: CR6 article-title: Optimal sizing of hybrid microgrid in a remote island considering advanced direct load control for demand response and low carbon emission publication-title: Energies doi: 10.3390/en14227599 – volume: 46 start-page: 1471 issue: 5 year: 2022 end-page: 1486 ident: CR9 article-title: Superior performances strategies of different hybrid renewable energy systems configurations with energy storage units publication-title: Wind Eng doi: 10.1177/0309524X221084124 – volume: 13 start-page: 1 issue: 14 year: 2020 end-page: 22 ident: CR15 article-title: Optimal sizing of a real remote Japanese microgrid with sea water electrolysis plant under time-based demand response programs publication-title: Energies doi: 10.3390/en13143666 – volume: 9 start-page: 20277 year: 2021 end-page: 20294 ident: CR12 article-title: A novel demand response strategy for sizing of hybrid energy system with smart grid concepts publication-title: IEEE Access doi: 10.1109/ACCESS.2021.3052128 – volume: 25 start-page: 1 year: 2019 ident: 9433_CR20 publication-title: J Energy Storage doi: 10.1016/j.est.2019.100814 – volume: 199 start-page: 1 year: 2019 ident: 9433_CR5 publication-title: Energy Convers Manag doi: 10.1016/j.enconman.2019.112027 – volume: 14 start-page: 1 issue: 22 year: 2021 ident: 9433_CR6 publication-title: Energies doi: 10.3390/en14227599 – ident: 9433_CR7 doi: 10.1109/MEPCON55441.2022.10021687 – volume: 202 start-page: 1110 year: 2023 ident: 9433_CR23 publication-title: Renew Energy doi: 10.1016/j.renene.2022.12.005 – volume: 10 start-page: 1888 issue: 4 year: 2020 ident: 9433_CR2 publication-title: Int J Renew Energy Res doi: 10.20508/ijrer.v10i4.11463.g8079 – volume: 9 start-page: 20277 year: 2021 ident: 9433_CR12 publication-title: IEEE Access doi: 10.1109/ACCESS.2021.3052128 – volume: 45 start-page: 16155 issue: 11 year: 2021 ident: 9433_CR28 publication-title: Int J Energy Res doi: 10.1002/er.6849 – ident: 9433_CR13 doi: 10.1109/ECCE44975.2020.9236381 – volume: 233 start-page: 1 year: 2021 ident: 9433_CR25 publication-title: Energy doi: 10.1016/j.energy.2021.121166 – volume: 13 start-page: 1 issue: 9 year: 2021 ident: 9433_CR1 publication-title: Sustainability doi: 10.3390/su13095022 – volume: 5 start-page: 89 year: 2024 ident: 9433_CR27 publication-title: SVU-Int J Eng Sci Appl doi: 10.21608/svusrc.2023.240888.1153 – volume: 7 start-page: 119223 year: 2019 ident: 9433_CR34 publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2936656 – volume: 48 start-page: 4129 issue: 11 year: 2023 ident: 9433_CR18 publication-title: Int J Hydrog Energy doi: 10.1016/j.ijhydene.2022.10.271 – ident: 9433_CR16 doi: 10.1109/REEPE53907.2022.9731431 – volume: 7 start-page: 315 year: 2023 ident: 9433_CR29 publication-title: Process Integr Optim Sustain doi: 10.1007/s41660-022-00294-8 – volume: 169 start-page: 613 year: 2019 ident: 9433_CR31 publication-title: Energy doi: 10.1016/j.energy.2018.12.049 – volume: 88 start-page: 1 year: 2023 ident: 9433_CR10 publication-title: Sustain Cities Soc doi: 10.1016/j.scs.2022.104298 – volume: 282 start-page: 1 year: 2023 ident: 9433_CR30 publication-title: Energy Convers Manag doi: 10.1016/j.enconman.2023.116873 – volume: 10 start-page: 1 issue: 19 year: 2022 ident: 9433_CR22 publication-title: Mathematics doi: 10.3390/math10193708 – volume: 8 start-page: 4935 year: 2022 ident: 9433_CR26 publication-title: Energy Rep doi: 10.1016/j.egyr.2022.03.197 – ident: 9433_CR33 – volume: 27 start-page: 32318 issue: 26 year: 2020 ident: 9433_CR24 publication-title: Environ Sci Pollut Res doi: 10.1007/s11356-019-06566-0 – volume: 13 start-page: 1 issue: 14 year: 2020 ident: 9433_CR15 publication-title: Energies doi: 10.3390/en13143666 – volume: 253 start-page: 1 year: 2022 ident: 9433_CR11 publication-title: Energy doi: 10.1016/j.energy.2022.124089 – volume: 174 start-page: 1 year: 2022 ident: 9433_CR32 publication-title: Adv Eng Softw doi: 10.1016/j.advengsoft.2022.103282 – ident: 9433_CR3 – volume: 97 start-page: 293 year: 2016 ident: 9433_CR4 publication-title: Renew Energy doi: 10.1016/j.renene.2016.05.086 – volume: 14 start-page: 1 issue: 12 year: 2021 ident: 9433_CR17 publication-title: Energies doi: 10.3390/en14123520 – volume: 46 start-page: 1471 issue: 5 year: 2022 ident: 9433_CR9 publication-title: Wind Eng doi: 10.1177/0309524X221084124 – volume: 75 start-page: 1 year: 2021 ident: 9433_CR14 publication-title: Sustain Cities Soc doi: 10.1016/j.scs.2021.103293 – volume: 12 start-page: 1 issue: 6 year: 2020 ident: 9433_CR19 publication-title: J Renew Sustain Energy doi: 10.1063/5.0008065 – volume: 10 start-page: 625 issue: 3 year: 2016 ident: 9433_CR8 publication-title: IET Gener Transm Distrib doi: 10.1049/iet-gtd.2015.0429 – ident: 9433_CR21 doi: 10.13016/M2F47GX8G
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SubjectTerms	Algorithms Artificial Intelligence Carbon dioxide Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Demand side management Design optimization Diesel engines Electricity Emissions Energy consumption Hybrid systems Image Processing and Computer Vision Load fluctuation Mathematical models Mountains Optimization algorithms Optimization techniques Original Article Performance enhancement Photovoltaic cells Pollutants Power supply Probability and Statistics in Computer Science Profitability Radiation Sizing Systems design Temperature Wind turbines
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Title	Mountain gazelle optimizer for standalone hybrid power system design incorporating a type of incentive-based strategies
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