Scenario-based fuel-constrained heat and power scheduling of a remote microgrid
This manuscript suggests elephant clan optimization (ECO) algorithm to solve heat and electric power scheduling of a remote microgrid (MG) for three different scenarios considering fuel constraints. ECO algorithm is a populace-based method motivated by the elephants’ behaviour and their societal org...
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| Published in | Energy (Oxford) Vol. 277; p. 127722 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
15.08.2023
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0360-5442 |
| DOI | 10.1016/j.energy.2023.127722 |
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| Abstract | This manuscript suggests elephant clan optimization (ECO) algorithm to solve heat and electric power scheduling of a remote microgrid (MG) for three different scenarios considering fuel constraints. ECO algorithm is a populace-based method motivated by the elephants’ behaviour and their societal organization. MG comprises diesel generators (DGs), small hydro power plants (SHPPs), wind turbine generators (WTGs), solar micro-cogeneration (SMC) unit, biomass-fuel-fired micro-cogeneration (BMC) unit, battery energy storage system (BESS), plug-in electrical vehicles (PEVs) and thermal energy storage system (TESS). BMC units and SMC units are incorporated alternately into the MG. Numerical results of a typical system are compared with those obtained from self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients (HPSO-TVAC) and grey wolf optimization (GWO). It is seen from the evaluation that ECO offers superior solution.
•Heat and power scheduling of remote microgrid for different scenarios is presented.•Fuel constraints of diesel generators are taken into consideration.•Solar micro-cogeneration and biomass micro-cogeneration units are incorporated alternately.•Elephant clan optimization algorithm has been used for solving the problem.•am the sole author of this article. |
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| AbstractList | This manuscript suggests elephant clan optimization (ECO) algorithm to solve heat and electric power scheduling of a remote microgrid (MG) for three different scenarios considering fuel constraints. ECO algorithm is a populace-based method motivated by the elephants’ behaviour and their societal organization. MG comprises diesel generators (DGs), small hydro power plants (SHPPs), wind turbine generators (WTGs), solar micro-cogeneration (SMC) unit, biomass-fuel-fired micro-cogeneration (BMC) unit, battery energy storage system (BESS), plug-in electrical vehicles (PEVs) and thermal energy storage system (TESS). BMC units and SMC units are incorporated alternately into the MG. Numerical results of a typical system are compared with those obtained from self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients (HPSO-TVAC) and grey wolf optimization (GWO). It is seen from the evaluation that ECO offers superior solution. This manuscript suggests elephant clan optimization (ECO) algorithm to solve heat and electric power scheduling of a remote microgrid (MG) for three different scenarios considering fuel constraints. ECO algorithm is a populace-based method motivated by the elephants’ behaviour and their societal organization. MG comprises diesel generators (DGs), small hydro power plants (SHPPs), wind turbine generators (WTGs), solar micro-cogeneration (SMC) unit, biomass-fuel-fired micro-cogeneration (BMC) unit, battery energy storage system (BESS), plug-in electrical vehicles (PEVs) and thermal energy storage system (TESS). BMC units and SMC units are incorporated alternately into the MG. Numerical results of a typical system are compared with those obtained from self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients (HPSO-TVAC) and grey wolf optimization (GWO). It is seen from the evaluation that ECO offers superior solution. •Heat and power scheduling of remote microgrid for different scenarios is presented.•Fuel constraints of diesel generators are taken into consideration.•Solar micro-cogeneration and biomass micro-cogeneration units are incorporated alternately.•Elephant clan optimization algorithm has been used for solving the problem.•am the sole author of this article. |
| ArticleNumber | 127722 |
| Author | Basu, Mousumi |
| Author_xml | – sequence: 1 givenname: Mousumi orcidid: 0000-0002-1114-5956 surname: Basu fullname: Basu, Mousumi email: mousumibasu@yahoo.com organization: Department of Power Engineering, Jadavpur University, Kolkata, 700098, India |
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| Cites_doi | 10.1016/j.apenergy.2016.06.016 10.1049/iet-rpg.2018.5429 10.1016/j.applthermaleng.2013.06.022 10.1109/TSG.2014.2368077 10.1016/j.energy.2016.10.141 10.1016/j.enconman.2017.06.047 10.1016/j.advengsoft.2013.12.007 10.1016/j.applthermaleng.2014.03.045 10.1016/j.energy.2018.04.190 10.1109/TEC.2007.914171 10.1016/j.energy.2012.06.057 10.1016/j.epsr.2017.01.014 10.1109/TPAS.1983.318006 10.1109/TPWRD.2014.2360064 10.1016/j.enconman.2014.06.078 10.1016/j.applthermaleng.2014.10.023 10.1016/j.jclepro.2018.03.058 10.1109/TEVC.2004.826071 10.1109/TSG.2013.2280645 10.1016/j.enbuild.2013.02.004 10.3184/003685016X14528569315192 |
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| Keywords | Diesel generators Biomass-fuel-fired micro-cogeneration unit Microgrid Wind turbine generators Solar micro-cogeneration unit Small hydro power plant |
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| References | Mazidi, Monsef, Siano (bib5) 2016; 178 Aliasghari, Mohammadi-Ivatloo, Alipour, Abapour, Zare (bib17) 2018; 186 Brandoni, Renzi (bib11) 2015; 75 Wood, Wollenberg (bib19) 2012 Wu, Wang, Qu (bib2) 2014; 29 Farzan, Jafari, Masiello, Lu (bib4) 2015; 6 Radulovic, Skok, Kirincic (bib9) 2012; 48 Alipour, Mohammadi-Ivatloo, Moradi-Dalvand, Zare (bib16) 2017; 118 Amirante, Distaso, Tamburrano (bib23) 2017; 148 Basu (bib22) 2021; vol. 223 Mazidi, Zakariazadeh, Jadid (bib3) 2014; 86 Jafari, Salajegheh, Salajegheh (bib24) 2021 Mirjalili, Mirjalili, Lewis (bib26) 2014; 69 Entchev, Yang, Szadkowski, Armstrong, Swinton (bib10) 2013; 60 Rosato, Sibilio, Ciampi (bib12) 2013; 59 Hetzer, Yu, Bhattarai (bib21) 2008; 23 Rhodes (bib15) 2016; 99 Shams, Shahabi, Khodayar (bib7) 2018; 155 Liu G, Starke, Xiao, Zhang, Tomsovic (bib6) 2017; 145 Giorsetto, Utsurogi (bib20) Jan. 1983; 102 Renzi, Brandoni (bib13) 2014; 67 Su, Wang, Roh (bib1) 2014; 5 Ratnaweera, Halgamuge, Waston (bib25) 2004; 8 Morsali, Kowalczy (bib8) 2018; 12 Jafari (10.1016/j.energy.2023.127722_bib24) 2021 Farzan (10.1016/j.energy.2023.127722_bib4) 2015; 6 Shams (10.1016/j.energy.2023.127722_bib7) 2018; 155 Giorsetto (10.1016/j.energy.2023.127722_bib20) 1983; 102 Ratnaweera (10.1016/j.energy.2023.127722_bib25) 2004; 8 Liu G (10.1016/j.energy.2023.127722_bib6) 2017; 145 Morsali (10.1016/j.energy.2023.127722_bib8) 2018; 12 Mirjalili (10.1016/j.energy.2023.127722_bib26) 2014; 69 Aliasghari (10.1016/j.energy.2023.127722_bib17) 2018; 186 Renzi (10.1016/j.energy.2023.127722_bib13) 2014; 67 Amirante (10.1016/j.energy.2023.127722_bib23) 2017; 148 Radulovic (10.1016/j.energy.2023.127722_bib9) 2012; 48 Alipour (10.1016/j.energy.2023.127722_bib16) 2017; 118 Hetzer (10.1016/j.energy.2023.127722_bib21) 2008; 23 Rhodes (10.1016/j.energy.2023.127722_bib15) 2016; 99 Brandoni (10.1016/j.energy.2023.127722_bib11) 2015; 75 Wu (10.1016/j.energy.2023.127722_bib2) 2014; 29 Mazidi (10.1016/j.energy.2023.127722_bib3) 2014; 86 Wood (10.1016/j.energy.2023.127722_bib19) 2012 Basu (10.1016/j.energy.2023.127722_bib22) 2021; vol. 223 Entchev (10.1016/j.energy.2023.127722_bib10) 2013; 60 Rosato (10.1016/j.energy.2023.127722_bib12) 2013; 59 Su (10.1016/j.energy.2023.127722_bib1) 2014; 5 Mazidi (10.1016/j.energy.2023.127722_bib5) 2016; 178 |
| References_xml | – volume: 102 start-page: 134 year: Jan. 1983 end-page: 143 ident: bib20 article-title: Development of a new procedure for reliability modeling of wind turbine generators publication-title: IEEE Trans Power Apparatus Syst – volume: 69 start-page: 46 year: 2014 end-page: 61 ident: bib26 article-title: Grey wolf optimizer publication-title: Adv Eng Software – volume: 75 start-page: 896 year: 2015 end-page: 907 ident: bib11 article-title: Optimal sizing of hybrid solar micro-CHP systems for the household sector publication-title: Appl Therm Eng – volume: 155 start-page: 326 year: 2018 end-page: 338 ident: bib7 article-title: Stochastic day-ahead scheduling of multiple energy Carrier microgrids with demand response publication-title: Energy – volume: 118 start-page: 1168 year: 2017 end-page: 1179 ident: bib16 article-title: Stochastic scheduling of aggregators of plug-in electric vehicles for participation in energy and ancillary service markets publication-title: Energy – volume: 6 start-page: 499 year: 2015 end-page: 507 ident: bib4 article-title: Toward optimal day-ahead scheduling and operation control of microgrids under uncertainty publication-title: IEEE Trans Smart Grid – volume: 60 start-page: 345 year: 2013 end-page: 354 ident: bib10 article-title: Application of hybrid micro-cogeneration system-thermal and power energy solutions for Canadian residences publication-title: Energy Build – volume: 12 start-page: 1651 year: 2018 end-page: 1658 ident: bib8 article-title: Demand response based day-ahead scheduling and battery sizing in microgrid management in rural areas publication-title: IET Renew Power Gener – volume: 186 start-page: 293 year: 2018 end-page: 303 ident: bib17 article-title: Optimal scheduling of plug-in electric vehicles and renewable microgrid in energy and reserve markets considering demand response program publication-title: J Clean Prod – volume: 23 start-page: 603 year: 2008 end-page: 611 ident: bib21 article-title: An economic dispatch model incorporating wind power publication-title: IEEE Trans Energy Convers – year: 2012 ident: bib19 article-title: Power generation, operation and control – volume: 8 start-page: 240 year: 2004 end-page: 255 ident: bib25 article-title: Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients publication-title: IEEE Trans Evol Comput – volume: 178 start-page: 929 year: 2016 end-page: 942 ident: bib5 article-title: Robust day-ahead scheduling of smart distribution networks considering demand response programs publication-title: Appl Energy – volume: 59 start-page: 599 year: 2013 end-page: 617 ident: bib12 article-title: Energy, environmental and economic dynamic performance assessment of different micro-cogeneration systems in a residential application publication-title: Appl Therm Eng – volume: 67 start-page: 341 year: 2014 end-page: 351 ident: bib13 article-title: Study and application of a regenerative Stirling cogeneration device based on biomass combustion publication-title: Appl Therm Eng – volume: 148 start-page: 876 year: 2017 end-page: 894 ident: bib23 article-title: Novel, cost-effective configurations of combined power plants for small-scale cogeneration from biomass: design of the immersed particle heat exchanger publication-title: Energy Convers Manag – volume: 5 start-page: 1876 year: 2014 end-page: 1883 ident: bib1 article-title: Stochastic energy scheduling in microgrids with intermittent renewable energy resources publication-title: IEEE Trans Smart Grid – volume: 99 year: 2016 ident: bib15 article-title: The 2015 paris climate change conference: cop 21 publication-title: Sci Prog – year: 2021 ident: bib24 article-title: Elephant clan optimization: a nature-inspired metaheuristic algorithm for the optimal design of structures” – volume: 29 start-page: 2448 year: 2014 end-page: 2457 ident: bib2 article-title: A hierarchical framework for generation scheduling of microgrids publication-title: IEEE Trans Power Deliv – volume: 145 start-page: 197 year: 2017 end-page: 206 ident: bib6 article-title: Microgrid optimal scheduling with chance-constrained islanding capability publication-title: Elec Power Syst Res – volume: 86 start-page: 1118 year: 2014 end-page: 1127 ident: bib3 article-title: Integrated scheduling of renewable generation and demand response programs in a microgrid publication-title: Energy Convers Manag – volume: vol. 223 year: 2021 ident: bib22 article-title: Heat and power generation augmentation planning of isolated microgrid” – volume: 48 start-page: 177 year: 2012 end-page: 187 ident: bib9 article-title: Cogeneration-Investment dilemma publication-title: Energy – volume: 178 start-page: 929 year: 2016 ident: 10.1016/j.energy.2023.127722_bib5 article-title: Robust day-ahead scheduling of smart distribution networks considering demand response programs publication-title: Appl Energy doi: 10.1016/j.apenergy.2016.06.016 – volume: 12 start-page: 1651 issue: 14 year: 2018 ident: 10.1016/j.energy.2023.127722_bib8 article-title: Demand response based day-ahead scheduling and battery sizing in microgrid management in rural areas publication-title: IET Renew Power Gener doi: 10.1049/iet-rpg.2018.5429 – volume: vol. 223 year: 2021 ident: 10.1016/j.energy.2023.127722_bib22 – volume: 59 start-page: 599 issue: 1–2 year: 2013 ident: 10.1016/j.energy.2023.127722_bib12 article-title: Energy, environmental and economic dynamic performance assessment of different micro-cogeneration systems in a residential application publication-title: Appl Therm Eng doi: 10.1016/j.applthermaleng.2013.06.022 – volume: 6 start-page: 499 year: 2015 ident: 10.1016/j.energy.2023.127722_bib4 article-title: Toward optimal day-ahead scheduling and operation control of microgrids under uncertainty publication-title: IEEE Trans Smart Grid doi: 10.1109/TSG.2014.2368077 – volume: 118 start-page: 1168 year: 2017 ident: 10.1016/j.energy.2023.127722_bib16 article-title: Stochastic scheduling of aggregators of plug-in electric vehicles for participation in energy and ancillary service markets publication-title: Energy doi: 10.1016/j.energy.2016.10.141 – volume: 148 start-page: 876 year: 2017 ident: 10.1016/j.energy.2023.127722_bib23 article-title: Novel, cost-effective configurations of combined power plants for small-scale cogeneration from biomass: design of the immersed particle heat exchanger publication-title: Energy Convers Manag doi: 10.1016/j.enconman.2017.06.047 – volume: 69 start-page: 46 year: 2014 ident: 10.1016/j.energy.2023.127722_bib26 article-title: Grey wolf optimizer publication-title: Adv Eng Software doi: 10.1016/j.advengsoft.2013.12.007 – volume: 67 start-page: 341 issue: 1–2 year: 2014 ident: 10.1016/j.energy.2023.127722_bib13 article-title: Study and application of a regenerative Stirling cogeneration device based on biomass combustion publication-title: Appl Therm Eng doi: 10.1016/j.applthermaleng.2014.03.045 – volume: 155 start-page: 326 year: 2018 ident: 10.1016/j.energy.2023.127722_bib7 article-title: Stochastic day-ahead scheduling of multiple energy Carrier microgrids with demand response publication-title: Energy doi: 10.1016/j.energy.2018.04.190 – volume: 23 start-page: 603 issue: 2 year: 2008 ident: 10.1016/j.energy.2023.127722_bib21 article-title: An economic dispatch model incorporating wind power publication-title: IEEE Trans Energy Convers doi: 10.1109/TEC.2007.914171 – volume: 48 start-page: 177 year: 2012 ident: 10.1016/j.energy.2023.127722_bib9 article-title: Cogeneration-Investment dilemma publication-title: Energy doi: 10.1016/j.energy.2012.06.057 – volume: 145 start-page: 197 year: 2017 ident: 10.1016/j.energy.2023.127722_bib6 article-title: Microgrid optimal scheduling with chance-constrained islanding capability publication-title: Elec Power Syst Res doi: 10.1016/j.epsr.2017.01.014 – volume: 102 start-page: 134 issue: 1 year: 1983 ident: 10.1016/j.energy.2023.127722_bib20 article-title: Development of a new procedure for reliability modeling of wind turbine generators publication-title: IEEE Trans Power Apparatus Syst doi: 10.1109/TPAS.1983.318006 – year: 2021 ident: 10.1016/j.energy.2023.127722_bib24 – year: 2012 ident: 10.1016/j.energy.2023.127722_bib19 – volume: 29 start-page: 2448 issue: 6 year: 2014 ident: 10.1016/j.energy.2023.127722_bib2 article-title: A hierarchical framework for generation scheduling of microgrids publication-title: IEEE Trans Power Deliv doi: 10.1109/TPWRD.2014.2360064 – volume: 86 start-page: 1118 year: 2014 ident: 10.1016/j.energy.2023.127722_bib3 article-title: Integrated scheduling of renewable generation and demand response programs in a microgrid publication-title: Energy Convers Manag doi: 10.1016/j.enconman.2014.06.078 – volume: 75 start-page: 896 year: 2015 ident: 10.1016/j.energy.2023.127722_bib11 article-title: Optimal sizing of hybrid solar micro-CHP systems for the household sector publication-title: Appl Therm Eng doi: 10.1016/j.applthermaleng.2014.10.023 – volume: 186 start-page: 293 year: 2018 ident: 10.1016/j.energy.2023.127722_bib17 article-title: Optimal scheduling of plug-in electric vehicles and renewable microgrid in energy and reserve markets considering demand response program publication-title: J Clean Prod doi: 10.1016/j.jclepro.2018.03.058 – volume: 8 start-page: 240 issue: 3 year: 2004 ident: 10.1016/j.energy.2023.127722_bib25 article-title: Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients publication-title: IEEE Trans Evol Comput doi: 10.1109/TEVC.2004.826071 – volume: 5 start-page: 1876 year: 2014 ident: 10.1016/j.energy.2023.127722_bib1 article-title: Stochastic energy scheduling in microgrids with intermittent renewable energy resources publication-title: IEEE Trans Smart Grid doi: 10.1109/TSG.2013.2280645 – volume: 60 start-page: 345 year: 2013 ident: 10.1016/j.energy.2023.127722_bib10 article-title: Application of hybrid micro-cogeneration system-thermal and power energy solutions for Canadian residences publication-title: Energy Build doi: 10.1016/j.enbuild.2013.02.004 – volume: 99 issue: 1 year: 2016 ident: 10.1016/j.energy.2023.127722_bib15 article-title: The 2015 paris climate change conference: cop 21 publication-title: Sci Prog doi: 10.3184/003685016X14528569315192 |
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| SubjectTerms | algorithms batteries Biomass-fuel-fired micro-cogeneration unit Diesel generators electric power fuels heat Microgrid Small hydro power plant Solar micro-cogeneration unit thermal energy water power Wind turbine generators wind turbines wolves |
| Title | Scenario-based fuel-constrained heat and power scheduling of a remote microgrid |
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