Abstract
The simplicity of the PSO method inspires researchers for its uplift and modifications. Various hybridizations of PSO methods have been successfully implemented according to the optimization requirements. The development of PSO, its upgrade, modifications, comparisons, and applications are discussed here. This review paper represents a survey of sixty papers on the research progress in Particle Swarm Optimization (PSO) from 2006 to 2021. All the papers have been classified into 24 categories based on numerous features. The paper is in an integrated form that would help to learn about the various ways to implement the optimization technique of PSO all in one go. This paper shows that objectives can be different, but the path will remain the same. It also helps for futuristic works.
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References
Bastola S, Hsu C (2007) High-speed interconnect simulation using particle swarm optimization. In: 2007 IEEE swarm intelligence symposium, Honolulu, HI, pp 100–104. https://doi.org/10.1109/SIS.2007.368032
Parastar A, Pirayesh A, Nikoukar J (2007) Optimal location of FACTS devices in a power system using modified particle swarm optimization. In: 2007 42nd international universities power engineering conference, Brighton, UK, pp 1122–1128. https://doi.org/10.1109/UPEC.2007.4469108
Hoballah A, Erlich I (2008) Generation coordination for transient stability enhancement using particle swarm optimization. In: 2008 12th international middle-east power system conference, Aswan, Egypt, pp 29–33. https://doi.org/10.1109/MEPCON.2008.4562360
Fu Y, Xu Z-L, Hu R, Cao J-L (2008) A heuristic particle swarm optimization method and its application in power network planning. In: 2008 first international conference on intelligent networks and intelligent systems, Wuhan, China, pp 107–110. https://doi.org/10.1109/ICINIS.2008.155
Jeong H, Lee H, Park J (2009) Application of parallel particle swarm optimization on power system state estimation. In: 2009 transmission & distribution conference & exposition: Asia and Pacific, Seoul, Korea (South), pp 1–4. https://doi.org/10.1109/TD-ASIA.2009.5356917
Al-Hinai AS, Al-Hinai SM (2009) Dynamic stability enhancement using particle swarm optimization power system stabilizer. In: 2009 2nd international conference on adaptive science & technology (ICAST), Accra, Ghana, pp 117–119. https://doi.org/10.1109/ICASTECH.2009.5409738
Wang C, Liu Y, Pan X (2009) A reactive power optimization solution with max power margin for a shipboard power system based on CPSO. In: 2009 2nd international conference on power electronics and intelligent transportation system (PEITS), Shenzhen, pp 162–165. https://doi.org/10.1109/PEITS.2009.5406821
Thakker RA, Baghini MS, Patil MB (2009) Low-power low-voltage analog circuit design using hierarchical particle swarm optimization. In: 2009 22nd international conference on VLSI design, New Delhi, India, pp 427–432. https://doi.org/10.1109/VLSI.Design.2009.14
Chen P, Zhao C, Li J, Liu Z (2009) Solving the economic dispatch in power system via a modified genetic particle swarm optimization. In: 2009 international joint conference on computational sciences and optimization, Sanya, China, pp 201–204. https://doi.org/10.1109/CSO.2009.475
Lu M, Wu H, Li X (2009) Wide-area dam** control of power systems using particle swarm optimization. In: 2009 2nd international conference on power electronics and intelligent transportation system (PEITS), Shenzhen, pp 325–328. https://doi.org/10.1109/PEITS.2009.5407004
**ao G, Mei J (2010) Reactive power optimization based on hybrid particle swarm optimization algorithm. In: 2010 Asia-Pacific conference on wearable computing systems, Shenzhen, China, pp 173–177. https://doi.org/10.1109/APWCS.2010.50
Liu S, Tang J, Li Q, Wu X, Luo Y (2010) Reactive power optimization in power system based on adaptive focusing particle swarm optimization. In: 2010 international conference on electrical and control engineering, Wuhan, China, pp 4003–4006. https://doi.org/10.1109/iCECE.2010.975
Jaini A, Musirin I, Aminudin N, Othman MM, Rahman TKA (2010) Particle swarm optimization (PSO) technique in economic power dispatch problems. In: 2010 4th international power engineering and optimization conference (PEOCO), Shah Alam, Malaysia, pp 308–312. https://doi.org/10.1109/PEOCO.2010.5559236
Wang H, Jiang H, Xu K, Li G (2011) Reactive power optimization of power system based on improved particle swarm optimization. In: 2011 4th international conference on electric utility deregulation and restructuring and power technologies (DRPT), Weihai, China, pp 606–609. https://doi.org/10.1109/DRPT.2011.5993964
Zhou T, Sun W (2012) Optimization of wind-PV hybrid power system based on an interactive multiobjective optimization algorithm. In: Proceedings of 2012 international conference on measurement, information and control, Harbin, China, pp 853–856. https://doi.org/10.1109/MIC.2012.6273421
Mahapatra S, Jha AN (2012) PSS & TCSC coordinated design using particle swarm optimization for power system stability analysis. In: 2012 2nd international conference on power, control and embedded systems, Allahabad, India, pp 1–5. https://doi.org/10.1109/ICPCES.2012.6508094
Shuqin S, Bingen Z, Jun W, Nan Y, Qingyun M (2013) Power system reactive power optimization based on adaptive particle swarm optimization algorithm. In: 2013 fourth international conference on digital manufacturing & automation, Shinan, China, pp 935–939. https://doi.org/10.1109/ICDMA.2013.408
Deepa SN, Rizwana J (2013) Power system stability by reducing power losses using optimization techniques. In: 2013 IEEE international conference on computational intelligence and computing research, Enathi, India, pp 1–4. https://doi.org/10.1109/ICCIC.2013.6724152
Le Dinh K, Hayashi Y (2013) Online optimal power flow based on HPSO-TVAC coordinates with centralized BESS and LRT control to stabilize voltage in a PV-supplied microgrid. In: IEEE PES ISGT Europe 2013, Lyngby, Denmark, pp 1–5. https://doi.org/10.1109/ISGTEurope.2013.6695465
Wang T, Yuan G, Zhu L, Yu T (2014) Reactive power optimization of electric power system incorporating wind power based on parallel immune particle swarm optimization. In: The 26th Chinese control and decision conference (2014 CCDC), Changsha, China, pp 1064–1068. https://doi.org/10.1109/CCDC.2014.6852322
Hropko D, Hoger M, Roch M, Altus J (2014) Reactive power optimization of generators by using particle swarm algorithm. In: 2014 ELEKTRO, Rajecke Teplice, Slovakia, pp 289–293. https://doi.org/10.1109/ELEKTRO.2014.6848904
Guangming Z et al (2015) A research on the control strategy of STATCOM based on particle swarm optimization algorithm. In: 2015 4th international conference on computer science and network technology (ICCSNT), Harbin, pp 745–748. https://doi.org/10.1109/ICCSNT.2015.7490850
Yang H, Liao J (2015) MF-APSO-based multiobjective optimization for PV system reactive power regulation. IEEE Trans Sustain Energy 6(4):1346–1355. https://doi.org/10.1109/TSTE.2015.2433957
Babu R, Bhattacharyya B (2015) Optimal placement of phasor measurement unit using binary particle swarm optimization in the connected power network. In: 2015 IEEE UP section conference on electrical computer and electronics (UPCON), Allahabad, India, pp 1–5. https://doi.org/10.1109/UPCON.2015.7456695
Mandal S, Mandal KK, Tudu B (2015) A new self-adaptive particle swarm optimization technique for the optimal design of a hybrid power system. In: 2015 IEEE power, communication and information technology conference (PCITC), Bhubaneswar, India, pp 280–285. https://doi.org/10.1109/PCITC.2015.7438175
Maleki A, Pourfayaz F (2015) Optimization of a grid-independent diesel-based hybrid system for power generation using improved particle swarm optimization algorithm. In: 2015 30th international power system conference (PSC), Tehran, Iran, pp 111–117. https://doi.org/10.1109/IPSC.2015.7827735
Baharozu E, Soykan G, Altay O, Kalenderli O (2015) An improved particle swarm optimization method to optimal reactive power flow problems. In: 2015 9th international conference on electrical and electronics engineering (ELECO), Bursa, Turkey, pp 991–995. https://doi.org/10.1109/ELECO.2015.7394600
Sawant PT, Bhattar CL (2016) Optimization of PV system using particle swarm algorithm under dynamic weather conditions. In: 2016 IEEE 6th international conference on advanced computing (IACC), Bhimavaram, India, pp 208–213. https://doi.org/10.1109/IACC.2016.47
Mandal S, Mandal KK, Tudu B (2016) A new hybrid particle swarm optimization technique for optimal capacitor placement in radial distribution systems. In: 2016 2nd international conference on control, instrumentation, energy & communication (CIEC), Kolkata, India, pp 536–540. https://doi.org/10.1109/CIEC.2016.7513744
Warudkar MY, Jape MV (2017) Particle swarm optimization-based transmission expansion planning. In: 2017 international conference of electronics, communication, and aerospace technology (ICECA), Coimbatore, India, pp 341–345. https://doi.org/10.1109/ICECA.2017.8212830
Wu X, Xu K, Wang Z, Gong Y (2017) Optimized capacity configuration of an integrated power system of wind, photovoltaic and energy storage device based on improved particle swarm optimizer. In: 2017 IEEE conference on energy internet and energy system integration (EI2), Bei**g, China, pp 1–6. https://doi.org/10.1109/EI2.2017.8245465
**a D, Han J, Zhang L, Zhang X, Xu J, Wang Z (2017) Research on flexible power multiobjective optimization plan method oriented to grid-connected intermittent energy. In: 2017 IEEE conference on energy internet and energy system integration (EI2), Bei**g, China, pp 1–4. https://doi.org/10.1109/EI2.2017.8245511
Zografos D, Ghandhari M, Paridari K (2017) Estimation of power system inertia using particle swarm optimization. In: 2017 19th international conference on intelligent system application to power systems (ISAP), San Antonio, TX, pp 1–6. https://doi.org/10.1109/ISAP.2017.8071383
Gao S, Wang H, Wang C, Gu S, Xu H, Ma H (2017) Reactive power optimization of low voltage distribution network based on improved particle swarm optimization. In: 2017 20th international conference on electrical machines and systems (ICEMS), Sydney, NSW, Australia, pp 1–5. https://doi.org/10.1109/ICEMS.2017.8055969
Hu LJ, Liu K, Fu Y, Li P (2018) Capacity optimization of wind/PV/storage power system based on simulated annealing-particle swarm optimization. In: 2018 37th Chinese control conference (CCC), Wuhan, China, pp 2222–2227. https://doi.org/10.23919/ChiCC.2018.8482706
Liqun S, Pengwei L, Weiwei Z (2018) Capacity optimization of hybrid energy storage in wind/PV complementary power generation system based on improved particle swarm optimization. In: 2018 China international conference on electricity distribution (CICED), Tian**, China, pp 2295–2300. https://doi.org/10.1109/CICED.2018.8592599
Lu M, Du W, Tian R, Li D (2018) Optimization scheduling of power system based on improved particle swarm optimization. In: 2018 international conference on power system technology (POWERCON), Guangzhou, China, pp 945–951. https://doi.org/10.1109/POWERCON.2018.8602204
El-Saady G, Ebrahim EA, Abdul-Ghaffar HI, Mohamed YS, El-Sayed A-H (2018) Particle-swarm optimization control of active-power filter for harmonic mitigation of hybrid electric-unbalanced traction-system. In: 2018 IEEE congress on evolutionary computation (CEC), Rio de Janeiro, pp 1–8. https://doi.org/10.1109/CEC.2018.8477653
Zhang Y, Chen C, Lee C (2018) Solution of the optimal reactive power dispatch for power systems by using novel charged system search algorithm. In: 2018 7th international symposium on next-generation electronics (ISNE), Taipei, Taiwan, pp 1–4. https://doi.org/10.1109/ISNE.2018.8394748
Viet DT, Tuan TQ, Van Phuong V (2019) Optimal placement and sizing of wind farm in Vietnamese power system based on particle swarm optimization. In: 2019 international conference on system science and engineering (ICSSE), Dong Hoi, Vietnam, pp 190–195. https://doi.org/10.1109/ICSSE.2019.8823479
Li J, Huang H, Lou B, Peng Y, Huang Q, **a K (2019) Wind farm reactive power and voltage control strategy based on adaptive discrete binary particle swarm optimization algorithm. In: 2019 IEEE Asia power and energy engineering conference (APEEC), Chengdu, China, pp 99–102. https://doi.org/10.1109/APEEC.2019.8720712
Sarangi A, Samal S, Sarangi SK (2019) Analysis of Gaussian & Cauchy mutations in modified particle swarm optimization algorithm. In: 2019 5th international conference on advanced computing & communication systems (ICACCS), Coimbatore, India, pp 463–467. https://doi.org/10.1109/ICACCS.2019.8728452
Iqbal MS, Sujatha BC (2019) Multiple contingency analysis for optimal placement and estimate the value of SVC for power loss reduction employing particle swarm optimization. In: 2019 4th international conference on electrical, electronics, communication, computer technologies and optimization techniques (ICEECCOT), Mysuru, India, pp 129–133. https://doi.org/10.1109/ICEECCOT46775.2019.9114569
Liu H et al (2019) Reactive power optimization of power grid with photovoltaic generation based on improved particle swarm optimization. In: 2019 IEEE innovative smart grid technologies—Asia (ISGT Asia), Chengdu, China, pp 1536–1540. https://doi.org/10.1109/ISGT-Asia.2019.8880890
Kumar A, Gaur S (2019) Bad data processing in electrical power system using binary particle swarm optimization. In: 2019 women institute of technology conference on electrical and computer engineering (WITTON ECE), Dehradun, India, pp 1–5. https://doi.org/10.1109/WITCONECE48374.2019.9092907
** P et al (2019) Unit commitment problems in power systems with wind farms based on probability offset binary particle swarm optimization algorithm. In: 2019 IEEE international conference on energy internet (ICEI), Nan**g, China, pp 104–109. https://doi.org/10.1109/ICEI.2019.00025
Damisa U, Nwulu NI (2019) Particle swarm optimization for robust power management in DC prosumer microgrids with battery. In: 2019 IEEE 6th international conference on engineering technologies and applied sciences (ICES), Kuala Lumpur, Malaysia, pp 1–6. https://doi.org/10.1109/ICETAS48360.2019.9117413
Cabezas Soldevilla FR, Cabezas Huerta FA (2019) Minimization of losses in power systems by reactive power dispatch using particle swarm optimization. In: 2019 54th international universities power engineering conference (UPEC), Bucharest, Romania, pp 1–5. https://doi.org/10.1109/UPEC.2019.8893527
Sennewald T, Linke F, Reck J, Westermann D (2020) Parameter optimization of differential evolution and particle swarm optimization in the context of optimal power flow. In: 2020 IEEE PES innovative smart grid technologies Europe (ISGT-Europe), The Hague, Netherlands, pp 1045–1049. https://doi.org/10.1109/ISGT-Europe47291.2020.9248839
Ghosh P, Biswas S, Purkait P (2020) Modified particle swarm optimization based technique for power flow computation. In: 2020 IEEE 17th India council international conference (INDICON), New Delhi, India, pp 1–5. https://doi.org/10.1109/INDICON49873.2020.9342566
Chepkania TL, Musau MP, Wekesa CW (2020) Particle swarm optimized power grid frequency stability control scheme in the presence of wind energy sources. In: 2020 IEEE PES/IAS PowerAfrica, Nairobi, Kenya, pp 1–5. https://doi.org/10.1109/PowerAfrica49420.2020.9219880
He S, Gong T, Chen S, Tang J (2020) Research on optimal scheduling strategy of adjustable load based on particle swarm optimization. In: 2020 management science informatization and economic innovation development conference (MSIEID), Guangzhou, China, pp 77–80. https://doi.org/10.1109/MSIEID52046.2020.00022
Zhao S, Yang Z, Zhu X, Wang Y (2020) A novel binary social learning particle swarm optimizer for power system unit commitment. In: 2020 IEEE 4th conference on energy internet and energy system integration (EI2), Wuhan, China, pp 1361–1365. https://doi.org/10.1109/EI250167.2020.9347191
Ibrahim AW et al (2020) PV maximum power-point tracking using modified particle swarm optimization under partial shading conditions. Chin J Electr Eng 6(4):106–121. https://doi.org/10.23919/CJEE.2020.000035
Ahmed MK, Osman MH, Shehata AA, Korovkin NV (2021) A solution of optimal power flow problem in power system based on multiobjective particle swarm algorithm. In: 2021 IEEE conference of Russian young researchers in electrical and electronic engineering (ElConRus), St. Petersburg, Moscow, Russia, pp 1349–1353. https://doi.org/10.1109/ElConRus51938.2021.9396117
Kabat SR, Panigrahi CK, Kumar A (2021) Computationally fast particle swarm optimization power system stabilizer design for interconnected multimachine power system. In: 2021 7th international conference on electrical energy systems (ICEES), Chennai, India, pp 496–501. https://doi.org/10.1109/ICEES51510.2021.9383712
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Dasgupta, S. et al. (2023). A Review on Power System Optimization Using PSO. In: Szymanski, J.R., Chanda, C.K., Mondal, P.K., Khan, K.A. (eds) Energy Systems, Drives and Automations. ESDA 2021. Lecture Notes in Electrical Engineering, vol 1057. Springer, Singapore. https://doi.org/10.1007/978-981-99-3691-5_2
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