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Electrical Engineering

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03.07.2024 | Original Paper

A novel hybrid algorithm based on optimal size and location of photovoltaic with battery energy storage systems for voltage stability enhancement

verfasst von: Manar A. Khalil, Tamer M. Elkhodragy, Waleed A. A. Salem

Erschienen in: Electrical Engineering | Ausgabe 1/2025

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Abstract

This paper proposes utilizing a recent metaheuristic technique, artificial rabbits’ optimization (ARO), enhanced with the quasi-opposition-based learning (QOBL) technique to improve global search capabilities. Furthermore, the novel line stability index (NLSI) is used to show weak buses in radial distribution systems (RDSs), aiding in the optimal placement and sizing of renewable energy sources (RES) such as photovoltaic (PV) systems. This enhanced algorithm, named the hybrid quasi-oppositional ARO (Hybrid QOARO) algorithm, addresses both single-objective and multi-objective functions. The single-objective approach focuses on reducing active power loss in the RDS, while the multi-objective function seeks to minimize active power loss with total voltage deviation (VD) and maximize the voltage stability index (VSI). This multi-objective approach helps determine the appropriate sizing of PV and battery energy storage systems (BESS) over 96 h (four seasons), considering the variability of photovoltaic power generation. To evaluate the effectiveness of the proposed approach compared to different optimization strategies, the IEEE 33-bus RDS is used. The highest reduction in energy losses and VD, at 92.48% and 99.78%, respectively, is achieved by applying PV + BESS at optimal power factor (PF) compared to PV only, PV + BESS at unity PF, and PV + BESS at 0.95 lagging PF.

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Hashem M, Abdel-Salam M, El-Mohandes MT, Nayel M, Ebeed M (2021) Optimal placement and sizing of wind turbine generators and superconducting magnetic energy storages in a distribution system. J Energy Storage 38:102497. https://doi.org/10.1016/j.est.2021.102497CrossRef

Nor NM, Ali A, Ibrahim T, Romlie MF (2017) Battery storage for the utility-scale distributed photovoltaic generations. IEEE Access 6:1137–1154. https://doi.org/10.1109/ACCESS.2017.2778004CrossRefMATH

Memarzadeh G, Keynia F (2020) A new index-based method for optimal DG placement in distribution networks. Eng Rep 2(10):e12243. https://doi.org/10.1002/eng2.12243CrossRefMATH

Adewuyi OB, Adeagbo AP, Adebayo IG, Howlader HOR, Sun Y (2021) Modified analytical approach for PV-DGs integration into a radial distribution network considering loss sensitivity and voltage stability. Energies (Basel) 14(22):7775. https://doi.org/10.3390/en14227775CrossRef

Azad S, Amiri MM, Heris MN, Mosallanejad A, Ameli MT (2021) A novel analytical approach for optimal placement and sizing of distributed generations in radial electrical energy distribution systems. Sustainability (Switzerland) 13(18):10224. https://doi.org/10.3390/su131810224CrossRefMATH

Khan MH, Ulasyar A, Khattak A, Zad HS, Alsharef M, Alahmadi AA, Ullah N (2022) Optimal sizing and allocation of distributed generation in the radial power distribution system using honey badger algorithm. Energies (Basel) 15(16):5891. https://doi.org/10.3390/en15165891CrossRef

Chakraborty S, Verma S, Salgotra A, Elavarasan RM, Elangovan D, Mihet-Popa L (2021) Solar-based DG allocation using Harris hawk’s optimization while considering practical aspects. Energies (Basel) 14(16):5206. https://doi.org/10.3390/en14165206CrossRef

Hp C, Subbaramaiah K, Sujatha P (2023) Optimal DG unit placement in distribution networks by multi-objective whale optimization algorithm & its techno-economic analysis. Electr Power Syst Res 214:108869. https://doi.org/10.1016/j.epsr.2022.108869CrossRefMATH

Hemeida MG, Ibrahim AA, Mohamed AAA, Alkhalaf S, El-Dine AMB (2021) Optimal allocation of distributed generators DG based Manta Ray Foraging Optimization algorithm (MRFO). Ain Shams Eng J 12:609–619. https://doi.org/10.1016/j.asej.2020.07.009CrossRefMATH

10.

Ali MH, Kamel S, Hassan MH, Tostado-Véliz M, Zawbaa HM (2022) An improved wild horse optimization algorithm for reliability based optimal DG planning of radial distribution networks. Energy Rep 8:582–604. https://doi.org/10.1016/j.egyr.2021.12.023CrossRef

11.

Adeagbo AP, Ariyo FK, Makinde KA, Salimon SA, Adewuyi OB, Akinde OK (2022) Integration of solar photovoltaic distributed generators in distribution networks based on site’s condition. Solar 2:52–63. https://doi.org/10.3390/solar2010004CrossRef

12.

Elseify MA, Kamel S, Nasrat L, Jurado F (2023) Multi-objective optimal allocation of multiple capacitors and distributed generators considering different load models using Lichtenberg and thermal exchange optimization techniques. Neural Comput Appl 35:11867–11899. https://doi.org/10.1007/s00521-023-08327-0CrossRef

13.

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.2018.07.100CrossRefMATH

14.

Jafar-Nowdeh A, Babanezhad M, Arabi-Nowdeh S, Naderipour A, Kamyab H, Abdul-Malek Z, Ramachandaramurthy VK (2020) Meta-heuristic matrix moth–flame algorithm for optimal reconfiguration of distribution networks and placement of solar and wind renewable sources considering reliability. Environ Technol Innov 20:101118. https://doi.org/10.1016/j.eti.2020.101118CrossRef

15.

Shadman Abid M, Apon HJ, Morshed KA, Ahmed A (2022) Optimal planning of multiple renewable energy-integrated distribution system with uncertainties using artificial hummingbird algorithm. IEEE Access 10:40716–40730. https://doi.org/10.1109/ACCESS.2022.3167395CrossRef

16.

Eiada RR (2021) Optimal size and location of DG in the distribution system for power loss and voltage deviation minimization. Port-Said Eng Res J 26(2):94–101. https://doi.org/10.21608/pserj.2021.87406.1130CrossRef

17.

Eid A, Kamel S, Hassan MH, Khan B (2022) A Comparison study of multi-objective bonobo optimizers for optimal integration of distributed generation in distribution systems. Front Energy Res 10:847495. https://doi.org/10.3389/fenrg.2022.847495CrossRefMATH

18.

Lata P, Vadhera S (2020) Reliability improvement of radial distribution system by optimal placement and sizing of energy storage system using TLBO. J Energy Storage 30:101492. https://doi.org/10.1016/j.est.2020.101492CrossRefMATH

19.

Elseify MA, Hashim FA, Hussien AG, Kamel S (2024) Single and multi-objectives based on an improved golden jackal optimization algorithm for simultaneous integration of multiple capacitors and multi-type DGs in distribution systems. Appl Energy 353:122054. https://doi.org/10.1016/j.apenergy.2023.122054CrossRef

20.

Venkatesan C, Kannadasan R, Alsharif MH, Kim MK, Nebhen J (2021) A novel multiobjective hybrid technique for siting and sizing of distributed generation and capacitor banks in radial distribution systems. Sustainability (Switzerland) 13(6):3308. https://doi.org/10.3390/su13063308CrossRef

21.

Selim A, Kamel S, Jurado F (2020) Voltage stability analysis based on optimal placement of multiple DG types using hybrid optimization technique. Int Trans Electr Energy Syst 30(10):e12551. https://doi.org/10.1002/2050-7038.12551CrossRefMATH

22.

Sodani M, AHH, LTA (2021) Optimal planning of distributed generation using improved Grey Wolf Optimizer and combined power loss sensitivity. In: 2021 IEEE Canadian conference on electrical and computer Engineering (CCECE)

23.

Hassan AS, Sun Y, Wang Z (2020) Multi-objective for optimal placement and sizing DG units in reducing loss of power and enhancing voltage profile using BPSO-SLFA. Energy Rep 6:1581–1589. https://doi.org/10.1016/j.egyr.2020.06.013CrossRefMATH

24.

Yadav LK, Verma MK, Joshi P (2022) Novel real valued improved coral-reef optimization algorithm for optimal integration of classified distributed generators. IEEE Access 10:80623–80638. https://doi.org/10.1109/ACCESS.2022.3194894CrossRefMATH

25.

Yuvaraj T, Ravi K (2018) Multi-objective simultaneous DG and DSTATCOM allocation in radial distribution networks using cuckoo searching algorithm. Alex Eng J 57:2729–2742. https://doi.org/10.1016/j.aej.2018.01.001CrossRefMATH

26.

Mohamed EA, Mohamed AAA, Mitani Y (2019) Genetic-moth swarm algorithm for optimal placement and capacity of renewable DG sources in distribution systems. Int J Interact Multimed Artif Intell 5:105–117. https://doi.org/10.9781/ijimai.2019.10.005CrossRefMATH

27.

Suresh MCV, Edward JB (2020) A hybrid algorithm based optimal placement of DG units for loss reduction in the distribution system. Appl Soft Comput J 91:106191. https://doi.org/10.1016/j.asoc.2020.106191CrossRefMATH

28.

Truong KH, Nallagownden P, Baharudin Z, Vo DN (2019) A Quasi-Oppositional-Chaotic Symbiotic Organisms Search algorithm for global optimization problems. Appl Soft Comput J 77:567–583. https://doi.org/10.1016/j.asoc.2019.01.043CrossRef

29.

Hassan MH, Kamel S, Domínguez-García JL, Molu RJJ (2023) Integrating renewable energy and V2G uncertainty into optimal power flow: a gradient bald eagle search optimization algorithm with local escaping operator. IET Renew Power Gener. https://doi.org/10.1049/rpg2.12874CrossRef

30.

Khasanov M, Kamel S, Hassan MH, Domínguez-García JL (2024) Maximizing renewable energy integration with battery storage in distribution systems using a modified Bald Eagle Search Optimization Algorithm. Neural Comput Appl. https://doi.org/10.1007/s00521-024-09526-zCrossRef

31.

El-Ela AAA, El-Seheimy RA, Shaheen AM, Wahbi WA, Mouwafi MT (2021) PV and battery energy storage integration in distribution networks using equilibrium algorithm. J Energy Storage 42:103041. https://doi.org/10.1016/j.est.2021.103041CrossRefMATH

32.

Oda ES, El HAMA, Ali A, Elbaset AA, El SMA, Ebeed M (2021) Stochastic optimal planning of distribution system considering integrated photovoltaic-based dg and dstatcom under uncertainties of loads and solar irradiance. IEEE Access 9:26541–26555. https://doi.org/10.1109/ACCESS.2021.3058589CrossRef

33.

Chedid R, Sawwas A (2019) Optimal placement and sizing of photovoltaics and battery storage in distribution networks. Energy Storage 1(4):e46. https://doi.org/10.1002/est2.46CrossRefMATH

34.

Elseify MA, SeyyedAbbasi A, Domínguez-García JL, Kamel S (2023) Probabilistic optimal planning of multiple photovoltaics and battery energy storage systems in distribution networks: a boosted equilibrium optimizer with time-variant load models. J Energy Storage 73:108986. https://doi.org/10.1016/j.est.2023.108986CrossRef

35.

Wang L, Cao Q, Zhang Z, Mirjalili S, Zhao W (2022) Artificial rabbits’ optimization: a new bio-inspired meta-heuristic algorithm for solving engineering optimization problems. Eng Appl Artif Intell 114:105082. https://doi.org/10.1016/j.engappai.2022.105082CrossRefMATH

36.

Trajkovski P, Dehghani M (2022) Pelican optimization algorithm: a novel nature-inspired algorithm for engineering applications. Sensors 22(3):855. https://doi.org/10.3390/s22030855CrossRefMATH

37.

Abdel-Basset M, Mohamed R, Azeem SAA, Jameel M, Abouhawwash M (2023) Kepler optimization algorithm: a new metaheuristic algorithm inspired by Kepler’s laws of planetary motion. Knowl Based Syst 268:110454. https://doi.org/10.1016/j.knosys.2023.110454CrossRefMATH

38.

Ali A, Keerio MU, Laghari JA (2021) Optimal site and size of distributed generation allocation in radial distribution network using multi-objective optimization. J Mod Power Syst Clean Energy 9:404–415. https://doi.org/10.35833/MPCE.2019.000055CrossRefMATH

39.

Khaki B (2021) Joint sizing and placement of battery energy storage systems and wind turbines considering reactive power support of the system. J Energy Storage 35:102264. https://doi.org/10.1016/j.est.2021.102264CrossRefMATH

40.

Selim A, Kamel S, Jurado F (2020) Efficient optimization technique for multiple DG allocation in distribution networks. Appl Soft Comput J 86:105938. https://doi.org/10.1016/j.asoc.2019.105938CrossRefMATH

41.

Mohamed Imran A, Kowsalya M, Kothari DP (2014) A novel integration technique for optimal network reconfiguration and distributed generation placement in power distribution networks. Int J Electr Power Energy Syst 63:461–472. https://doi.org/10.1016/j.ijepes.2014.06.011CrossRefMATH

42.

Reddy GH, Koundinya AN, Gope S, Raju M, Singh KM (2022) Optimal sizing and allocation of DG and FACTS device in the distribution system using fractional Lévy flight bat algorithm. IFAC-Papers Online 55:168–173CrossRef

43.

Elseify MA, Kamel S, Abdel-Mawgoud H, Elattar EE (2022) A novel approach based on honey badger algorithm for optimal allocation of multiple DG and capacitor in radial distribution networks considering power loss sensitivity. Mathematics 10:2081. https://doi.org/10.3390/math10122081CrossRef

44.

National aeronautics and space administration NASA prediction of worldwide energy resources (POWER)—Data Access Viewer. In: n.d. https://power.larc.nasa.gov/beta/data-access-viewer/. Accessed 27 Jan 2024

45.

Oda ES, Ebeed M, Abd El Hamed AM, Ali A, Elbaset AA, Abdelsattar M (2021) Optimal allocation of a hybrid photovoltaic-based DG and DSTATCOM under the load and irradiance variability. Int Trans Electr Energy Syst 31:e13131. https://doi.org/10.1002/2050-7038.13131CrossRef

46.

Selim A, Kamel S, Jurado F, Lopes JAP, Matos M (2021) Optimal setting of PV and battery energy storage in radial distribution systems using multi-objective criteria with fuzzy logic decision-making. IET Gener Transm Distrib 15:135–148. https://doi.org/10.1049/gtd2.12019CrossRef

47.

Luo L, Gu W, Zhang XP, Cao G, Wang W, Zhu G, You D, Wu Z (2018) Optimal siting and sizing of distributed generation in distribution systems with PV solar farm utilized as STATCOM (PV-STATCOM). Appl Energy 210:1092–1100. https://doi.org/10.1016/j.apenergy.2017.08.165CrossRef

48.

Sadiq R, Wang Z, Chung CY, Zhou C, Wang C (2021) A review of STATCOM control for stability enhancement of power systems with wind/PV penetration: Existing research and future scope. Int Trans Electr Energy Syst 31(11):e13079CrossRef

49.

BSL Battery 48V 200AH Deep Cycle LiFePO4 Battery Powerwall Datasheet. https://www.bsl-battery.com/48v-200AH-Deep-Cycle-Lifepo4-Battery-Powerwall.html/. Accessed 27 Jan 2024

50.

Khasanov M, Kamel S, Rahmann C, Hasanien HM, Al-Durra A (2021) Optimal distributed generation and battery energy storage units’ integration in distribution systems considering power generation uncertainty. IET Gener Transm Distrib 15:3400–3422. https://doi.org/10.1049/gtd2.12230CrossRef

51.

Salama HS, Vokony I (2022) Voltage stability indices–A comparison and a review. Comput Electr Eng 98:107743. https://doi.org/10.1016/j.compeleceng.2022.107743CrossRefMATH

52.

Truong KH, Nallagownden P, Elamvazuthi I, Vo DN (2020) A quasi-oppositional-chaotic symbiotic organisms search algorithm for optimal allocation of DG in radial distribution networks. Appl Soft Comput J 88:106067. https://doi.org/10.1016/j.asoc.2020.106067CrossRef

53.

SunPower Maxeon (2022) MAXEON 6 Solar Panel (Model SP-MAX6–72C-COM-DC) Datasheet. In: SunPower Maxeon. https://sunpower.maxeon.com/int/sites/default/files/2022-07/sp_max6_72c_com_dc_ds_1.5kv_G6_25_warranty_en_a4_544662.pdf. Accessed 27 Jan 2024

54.

Nguyen TP, Vo DN (2018) A novel stochastic fractal search algorithm for optimal allocation of distributed generators in radial distribution systems. Appl Soft Comput J 70:773–796. https://doi.org/10.1016/j.asoc.2018.06.020CrossRefMATH

55.

Quadri IA, Bhowmick S, Joshi D (2018) A comprehensive technique for optimal allocation of distributed energy resources in radial distribution systems. Appl Energy 211:1245–1260. https://doi.org/10.1016/j.apenergy.2017.11.108CrossRef

56.

Selim A, Kamel S, Alghamdi AS, Jurado F (2020) Optimal placement of DGs in distribution system using an improved Harris hawks optimizer based on single- and multi-objective approaches. IEEE Access 8:52815–52829. https://doi.org/10.1109/ACCESS.2020.2980245CrossRef

57.

Selim A, Kamel S, Nasrat LS, Jurado F (2020) Voltage stability assessment of radial distribution systems including optimal allocation of distributed generators. Int J Interact Multimed Artif Intell 6:32–40. https://doi.org/10.9781/ijimai.2020.02.004CrossRef

58.

Abdel-mawgoud H, Kamel S, Yu J, Jurado F (2022) Hybrid Salp Swarm Algorithm for integrating renewable distributed energy resources in distribution systems considering annual load growth. J King Saud Univ Comput Inf Sci 34:1381–1393. https://doi.org/10.1016/j.jksuci.2019.08.011CrossRef

59.

Kumar S, Mandal KK, Chakraborty N (2021) Optimal placement of different types of DG units considering various load models using novel multiobjective quasi-oppositional grey wolf optimizer. Soft comput 25:4845–4864. https://doi.org/10.1007/s00500-020-05494-3CrossRefMATH

60.

Selim A, Kamel S, Mohamed AA, Elattar EE (2021) Optimal allocation of multiple types of distributed generations in radial distribution systems using a hybrid technique. Sustainability (Switzerland) 13(12):6644. https://doi.org/10.3390/su13126644CrossRefMATH

61.

Akbar MI, Kazmi SAA, Alrumayh O, Khan ZA, Altamimi A, Malik MM (2022) A novel hybrid optimization-based algorithm for the single and multi-objective achievement with optimal DG allocations in distribution networks. IEEE Access 10:25669–25687. https://doi.org/10.1109/ACCESS.2022.3155484CrossRef

Titel: A novel hybrid algorithm based on optimal size and location of photovoltaic with battery energy storage systems for voltage stability enhancement
verfasst von: Manar A. Khalil
Tamer M. Elkhodragy
Waleed A. A. Salem
Publikationsdatum: 03.07.2024
Verlag: Springer Berlin Heidelberg
Erschienen in: Electrical Engineering / Ausgabe 1/2025
Print ISSN: 0948-7921
Elektronische ISSN: 1432-0487
DOI: https://doi.org/10.1007/s00202-024-02508-3

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