Optimal Scheduling of Grid Connected Solar Photovoltaic and Battery Storage System Considering Degradation Cost of Battery

Springer Science and Business Media LLC - Tập 46 Số 4 - Trang 1175-1188 - 2022
J. Senthil Kumar1, Nagendra Kumar2
1SRM IST Delhi NCR Campus
2G. L. Bajaj Institute of Technology and Management, Greater Noida, India

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Abu-Mouti FS, El-Hawary ME (2009) Modified artificial bee colony algorithm for optimal distributed generation sizing and allocation in distribution systems. IEEE Elect Power Energy Conf, pp. 1–9.

Abu-Mouti FS, El-Hawary ME (2011) Optimal distributed generation allocation and sizing in distribution systems via artificial bee colony algorithm. IEEE Trans Power Delivery 26:2090–2101. https://doi.org/10.1109/TPWRD.2011.2158246

Acharya N, Mahat P, Mithulananthan N (2006) An analytical approach for DG allocation in primary distribution network. Elect Power Energy Syst 28:669–678. https://doi.org/10.1016/j.ijepes.2006.02.013

Aghdama FH, Kalantaria NT, Ivatloo BM (2020) A chance-constrained energy management in multi-microgrid systems considering degradation cost of energy storage elements. J Energy Storage 29:101416. https://doi.org/10.1016/j.est.2020.101416

Akay B, Karaboga DA (2012) A modified artificial bee colony algorithm for real parameter optimization. Inform Sci 192:120–142. https://doi.org/10.1016/j.ins.2010.07.015

Ali A, Raisz D, Mahmoud K, Lehtonen M (2020) Optimal placement and sizing of uncertain PVs considering stochastic nature of PEVs. IEEE Trans Sustain Energy 11:1647–1656. https://doi.org/10.1109/TSTE.2019.2935349

Chauhan A, Saini RP (2017) Size optimization and demand response of a stand-alone integrated renewable energy system. Energy 124:59–73. https://doi.org/10.1016/j.energy.2017.02.049

Chedid R, Sawwas A (2019) Optimal placement and sizing of photovoltaics and battery storage in distribution networks. Energy Storage 1:1–12. https://doi.org/10.1002/est2.46

Das S, Verma A, Bijwe PR (2017) Transmission network expansion planning using a modified artificial bee colony algorithm. Int Trans Electr Energ Syst. https://doi.org/10.1002/etep.2372

Das CK, Bass O, Kothapalli G, Mahmoud TS, Habibi D (2018) Optimal placement of distributed energy storage systems in distribution networks using artificial bee colony algorithm. Appl Energy 232:212–228. https://doi.org/10.1016/j.apenergy.2018.07.100

Gampa SR, Das D (2015) Optimum placement and sizing of DGs considering average hourly variations of load. Elect Power Energy Syst 66:25–40. https://doi.org/10.1016/j.ijepes.2014.10.047

Ganguly S, Samajpati D (2015) Distributed generation allocation on radial distribution networks under uncertainties of load and generation using genetic algorithm. IEEE Trans Sustain Energy 6:688–697. https://doi.org/10.1109/TSTE.2015.2406915

Gao WF , Liu SY (2012) A modified artificial bee colony algorithm. Comput Operat Res 39:687–697. https://doi.org/10.1016/j.cor.2011.06.007

Ghanegaonkar SP, Pande VN (2017) Optimal hourly scheduling of distributed generation and capacitors for minimization of energy loss and reduction in capacitors switching operations. IET Gen Trans Dist 11:2244–2250. https://doi.org/10.1049/iet-gtd.2016.1600

Gözel T, Hocaoglu MH (2009) An analytical method for the sizing and siting of distributed generators in radial systems. Elect Power Syst Res 79:912–918. https://doi.org/10.1016/j.epsr.2008.12.007

Hossain MA, Pota H, Squartini RS, Zaman F, Muttaqi KM (2019) Energy management of community microgrids considering degradation cost of battery. J Energy Storage 22:257–269. https://doi.org/10.1016/j.est.2018.12.021

Hosseina M, Bathaee SMT (2016) Optimal scheduling for distribution network with redox flow battery storage. Energy Conv Manag 121:145–151. https://doi.org/10.1016/j.enconman.2016.05.001

Hung DQ, Mithulananthan N (2013) Multiple distributed generator placement in primary distribution networks for loss reduction. IEEE Trans Indust Electron 60:1700–1708. https://doi.org/10.1109/TIE.2011.2112316

Hussain I, Roy AK (2012) Optimal distributed generation allocation in distribution systems employing modified artificial bee colony algorithm to reduce losses and improve voltage profile. IEEE-Int Conf Adv Eng Sci Manag, pp. 565–570.

Jannesara MR, Sedighia A, Savaghebib M, Guerrero JM (2018) Optimal placement, sizing, and daily charge/discharge of battery energy storage in low voltage distribution network with high photovoltaic penetration. Appl Energy 226:957–966. https://doi.org/10.1016/j.apenergy.2018.06.036

Ju C, Wang P, Goel L, Xu Y (2018) A two-layer energy management system for microgrids with hybrid energy storage considering degradation costs. IEEE Trans Smart Grid 9:6047–6057. https://doi.org/10.1109/TSG.2017.2703126

Kamel RM, Kermanshahi B (2009) Optimal size and location of distributed generations for minimizing power losses in a primary distribution network. Comp Sci Eng Elect Eng 16:137–144

Kandpal B, Kumari D, Kumar J, Verma A (2019) Optimal PV placement in village distribution network considering loss minimization and unbalance. International conference on computing, power and communication technologies (GUCON), India. pp. 566–571.

Karaboga D (2005) an idea based on honey bee swarm for numerical optimization, technical report-TR06. Erciyes University, Eng. Faculty, Computer Eng. Depart

Karaboga D, Akay B (2009) A comparative study of artificial bee colony algorithm. Appl Math Comput 214:108–132. https://doi.org/10.1016/j.amc.2009.03.090

Karaboga D, Akay B (2011) A modified artificial bee colony (ABC) algorithm for constrained optimization problems. Appl Soft Comput J 11:3021–3031. https://doi.org/10.1016/j.asoc.2010.12.001

Karaboga D, Basturk B (2007) A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. J Global Optim 39:459–471. https://doi.org/10.1007/s10898-007-9149-x

Karaboga D, Basturk B (2008) on the performance of artificial bee colony (ABC) algorithm. Appl Soft Comput 8:687–697. https://doi.org/10.1016/j.asoc.2007.05.007

Karaboga D, Gorkemli B (2014) A quick artificial bee colony (qABC) algorithm and its performance on optimization problems. Appl Soft Comput J 23:227–238. https://doi.org/10.1016/j.asoc.2014.06.035

Karimyan P, Gharehpetian GB, Abedi M, Gavili A (2014) Long term scheduling for optimal allocation and sizing of DG unit considering load variations and DG type. Electr Power Energy Syst 54:277–287. https://doi.org/10.1016/j.ijepes.2013.07.016

Kumar J, Suryakiran BV, Verma A, Bhatti TS (2019) Analysis of techno-economic viability with demand response strategy of a grid-connected microgrid model for enhanced rural electrification in Uttar Pradesh state, India. Energy 178:176–185. https://doi.org/10.1016/j.energy.2019.04.105

Li X, Yang G (2016) Artificial bee colony algorithm with memory. Appl Soft Comput J 41:362–372. https://doi.org/10.1016/j.asoc.2015.12.046

Mahmoud K, Yorino N, Ahmed A (2016) Optimal distributed generation allocation in distribution systems for loss minimization. IEEE Trans on Power Syst 31:960–969. https://doi.org/10.1109/TPWRS.2015.2418333

Maleki A, Pourfayaz F, Hafeznia H, Rosen MA (2017) A novel framework for optimal photovoltaic size and location in remote areas using a hybrid method: a case study of eastern Iran. Energy Convers Manage 153:129–143. https://doi.org/10.1016/j.enconman.2017.09.061

Mehmood KK, Khan SU, Lee SJ, Haider ZM, Rafique MK, Kim CH (2017) Optimal sizing and allocation of battery energy storage systems with wind and solar power DGs in a distribution network for voltage regulation considering the lifespan of batteries. IET Renew Power Gener 11:1305–1315. https://doi.org/10.1049/iet-rpg.2016.0938

Mehrjerdi H, Hemmati R (2019) Modeling and optimal scheduling of battery energy storage systems in electric power distribution networks. J Clean Prod 234:810–821. https://doi.org/10.1016/j.jclepro.2019.06.195

Mojarrad HD, Gharehpetian GB, Rastegar H, Olamaei J (2013) Optimal placement and sizing of DG (distributed generation) units in distribution networks by novel hybrid evolutionary algorithm. Energy 54:129–138. https://doi.org/10.1016/j.energy.2013.01.043

Nair UR, Sandelic M, Sangwongwanich A, Dragicevi T, Castello RC, Blaabjerg F (2020) Grid congestion mitigation and battery degradation minimization using model predictive control in PV-based microgrid. IEEE Trans Energy Conv. https://doi.org/10.1109/tec.2020.3032534

Ng KS, Moo CS, Chen YP, Hsieh YC (2009) Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries. Appl Energy 86:1506–1511. https://doi.org/10.1016/j.apenergy.2008.11.021

Pelletier S, Jabali O, Laporte G, Veneroni M (2017) Battery degradation and behaviour for electric vehicles: review and numerical analyses of several models. Transp Res Part B 000:1–30. https://doi.org/10.1016/j.trb.2017.01.020

Pradhan M, Roy PK, Pal T (2016) Grey wolf optimization applied to economic load dispatch problems. Electr Power Energy Syst 83:25–334. https://doi.org/10.1016/j.ijepes.2016.04.034

Saboori H, Jadid S (2020) Optimal scheduling of mobile utility-scale battery energy storage systems in electric power distribution networks. J Energy Storage 31:101615. https://doi.org/10.1016/j.est.2020.101615

Sobieh AR, Mandour M, Saied EM, Salama MM (2017) Optimal number size and location of distributed generation units in radial distribution systems using grey wolf optimizer. Int Electr Eng J 7:2367–2376

Tsai PW, Pan JS, Liao BY, Chu SC (2009) Enhanced artificial bee colony optimization. Int J Innov Compt Inf Control 5:5081–5092

Tyagi A, Verma A, Panwar LK (2019) Optimal placement and sizing of distributed generation in an unbalance distribution system using grey wolf optimization method. Int J Power and Energy Convers 10:208–224. https://doi.org/10.1504/IJPEC.2019.098621

Tyagi A, Verma A (2016) Comparative study of IHS and BF-DE algorithm for optimal DG placement. IEEE. 336–340.

Verma A, Tyagi A, Krishan R (2017) Optimal allocation of distributed solar photovoltaic generation in electrical distribution system under uncertainties. J. Elect Eng Technol 12:1386–1396. https://doi.org/10.5370/JEET.2017.12.4.1386

Wang C, Nehrir MH (2004) Analytical approaches for optimal placement of distributed generation sources in power systems. IEEE Trans Power Syst 19:2068–2076. https://doi.org/10.1109/TPWRS.2004.836189

Yahiaoui A, Fodhil F, Benmansour K, Tadjine M, Cheggaga N (2017) Grey wolf optimizer for optimal design of hybrid renewable energy system PV-diesel generator-battery: application to the case of Djanet city of Algeria. Sol Energy 158:941–951. https://doi.org/10.1016/j.solener.2017.10.040

Yoshida A, Sato T, Amano Y, Ito K (2016) Impact of electric battery degradation on cost- and energy-saving characteristics of a residential photovoltaic system. Energy Build 124:265–272. https://doi.org/10.1016/j.enbuild.2015.08.036

Zhang Y, Ren S, Dong ZY, Xu Y, Meng K, Zheng Y (2017) Optimal placement of battery energy storage in distribution networks considering conservation voltage reduction and stochastic load composition. IET Gener Transm Distrib 11:3862–3870. https://doi.org/10.1049/iet-gtd.2017.0508

Zhu G, Kwong S (2010) Gbest-guided artificial bee colony algorithm for global numerical function optimization. Appl Math Comput 217:3166–3173. https://doi.org/10.1016/j.amc.2010.08.049

Ziaa MF, Elbouchikhib E, Benbouzid M (2019) Optimal operational planning of scalable DC microgrid with demand response islanding, and battery degradation cost considerations. Appl Energy 237:695–707. https://doi.org/10.1016/j.apenergy.2019.01.040