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Tytuł artykułu

Optimal planning and management of photovoltaic sources and battery storage systems in the electricity distribution networks

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
PL
Optymalne planowanie i zarządzanie siecią rozdzielczą z ogniwami fotowoltaicznymi i magazynami bateryjnymi
Języki publikacji
EN
Abstrakty
EN
In this paper, the Non-dominated Sorting Genetic Algorithm NSGA-II, accompanied by the Newton Raphson method for power flow calculation, has been applied to an IEEE 33 bus test network to plan locations of photovoltaic power plants and Battery Energy Storage Systems. In addition to the minimization of costs, total losses and the maintain of voltage within acceptable limits (minimize voltage drops), the determination of these optimal locations will make it possible to converge towards a decentralized network with optimized, local energy and close to the consumer.
PL
Przedstawiono wykorzystanie algorytmów genetycznych wspomaganych przez metodę Newton-Raphson do obliczania przepływów mocy. Analizowano szynę zgodną z IEEE 33 w planowanej sieci ze źródłami fotowoltaicznymi i bateryjnym zasobnikiem energii.
Rocznik
Strony
95--101
Opis fizyczny
Bibliogr. 34 poz., rys., tab.
Twórcy
  • Energy and Electrical Systems Laboratory, Team of Electrical Networks and Static Converters, Higher National School of Electricity and Mechanics (ENSEM), Hassan II University, Casablanca, Morocco
  • Energy and Electrical Systems Laboratory, Team of Electrical Networks and Static Converters, Higher National School of Electricity and Mechanics (ENSEM), Hassan II University, Casablanca, Morocco
  • Energy and Electrical Systems Laboratory, Team of Electrical Networks and Static Converters, Higher National School of Electricity and Mechanics (ENSEM), Hassan II University, Casablanca, Morocco
  • Energy and Electrical Systems Laboratory, Team of Electrical Networks and Static Converters, Higher National School of Electricity and Mechanics (ENSEM), Hassan II University, Casablanca, Morocco
  • Energy and Electrical Systems Laboratory, Team of Electrical Networks and Static Converters, Higher National School of Electricity and Mechanics (ENSEM), Hassan II University, Casablanca, Morocco
Bibliografia
  • [1] Borges C. L. T., Falcao D. M., Optimal distributed generation allocation for reliability, losses, and voltage improvement, Electrical Power and Energy Systems 28 (2006) 413–420.
  • [2] El-Khattam W., Bhattacharya K., Hegazy Y., Salama M. M. A., Optimal Investment Planning for Distributed Generation in a Competitive Electricity Market, IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 19, NO. 3, AUGUST 2004.
  • [3] El-Khattam W., Hegazy Y. G., Salama M. M. A., An Integrated Distributed Generation Optimization Model for Distribution System Planning, IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 20, NO. 2, MAY 2005.
  • [4] Pisică I., Bulac C., Eremia M., Optimal Distributed Generation Location and Sizing using Genetic Algorithms, 2009 15th International Conference on Intelligent System Applications to Power Systems.
  • [5] Singh R.K., Goswami S.K., Optimum allocation of distributed generations based on nodal pricing for profit, loss reduction, and voltage improvement including voltage rise issue, Electrical Power and Energy Systems 32 (2010) 637–644.
  • [6] Raoofat M., Simultaneous allocation of DGs and remote controllable switches in distribution networks considering multilevel load model, Electrical Power and Energy Systems 33 (2011) 1429–1436.
  • [7] Goyal V., Mahapatra A. S., Application of Genetic Algorithm in the Optimum Placement of Distributed Generator in Distributed Power System, International Journal of Computer Applications (0975 – 8887) Volume 30– No.6, September 2011.
  • [8] Shaaban M. F., Atwa Y. M., El-Saadany E. F., DG Allocation for Benefit Maximization in Distribution Networks, IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 28, NO. 2, MAY 2013.
  • [9] Ogunjuyigbe A. S. O., Ayodele T. R., Akinola O. A., Optimal allocation and sizing of PV/Wind/Split-diesel/Battery hybrid energy system for minimizing life cycle cost, carbon emission and dump energy of remote residential building, Applied Energy 171 (2016) 153–171.
  • [10] Chedid R., Sawwas A., Optimal placement and sizing of photovoltaics and battery storage in distribution networks, Energy Storage. 2019;1: e46.
  • [11] Ghofrani M., Arabali A., Etezadi-Amoli M., Fadali M. S., A Framework for Optimal Placement of Energy Storage Units Within a Power System With High Wind Penetration, IEEE TRANSACTIONS ON SUSTAINABLE ENERGY.
  • [12] Carpinelli G., Celli G., Mocci S., Mottola F., Pilo F., Proto D., Optimal Integration of Distributed Energy Storage Devices in Smart Grids, IEEE TRANSACTIONS ON SMART GRID.
  • [13] Celli G., Mocci S., Pilo F., Loddo M., Optimal Integration of Energy Storage in Distribution Networks, 2009 IEEE Bucharest Power Tech Conference.
  • [14] Suresh MCV., Belwin Edward J., Optimal placement of distributed generation in distribution systems by using Shuffled Frog Leaping Algorithm, ARPN Journal of Engineering and Applied Sciences, VOL. 12, NO. 3, FEBRUARY 2017.
  • [15] Afzalan E., Tehachapi M. A., Sedighizadeh M., Optimal Placement and Sizing of DG in Radial Distribution Networks Using SFLA, International Journal of Energy Engineering 2012, 2(3): 73-77.
  • [16] Sebaa H., Guerriche K. R., Bouktir T., Optimal Sizing and placement of Renewable energy Source in large scale Power System using ABC technique in presence of UPFC, 2014 International Renewable and Sustainable Energy Conference (IRSEC).
  • [17] Marimuthu A., Gnanambal K., Priyanka R., Optimal allocation and sizing of DG in a radial distribution system using Whale Optimization Algorithm, IEEE International Conference on Innovations in Green Energy and Healthcare Technologies (ICIGEHT’17).
  • [18] Ben oualid Medani K., Sayaha S., Bekrar A., Whale optimization algorithm based optimal reactive power dispatch: A case study of the Algerian power system, Electric Power Systems Research, Volume 163, Part B, October 2018, Pages 696-705.
  • [19] Bahreyni S. A. H., Shayanfar H., Loss Reduction in a Probabilistic Approach for Optimal Planning of Renewable Resources, 22nd Electrical Power Distribution Conference, 18- 19April. 2017, Semnan, Iran.
  • [20] Mahmoud K., Yorino N., Ahmed A., Optimal Distributed Generation Allocation in Distribution Systems for Loss Minimization, IEEE TRANSACTIONS ON POWER SYSTEMS.
  • [21] Zhang C., Zhang Y. J., Optimal Solar Panel Placement in Microgrids, 2016 IEEE International Conference on Smart Grid Communications (SmartGridComm): Control and Operation for Smart Grids, Microgrids and Distributed Resources.
  • [22] Marzecki J., Optimal location of distributed generation sources in a medium voltage rural network, Przegląd Elektrotechniczny, R. 94 NR 3/2018.
  • [23] Jayavarma A., Joseph T., Optimal Placement of Solar PV in Distribution System using Particle Swarm Optimization, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 2, Special Issue 1, December 2013.
  • [24] Shojaeian S., Naeeni E. S., Probabilistic Optimal Sizing of PV Units in a Distribution Network, Applied Solar Energy, 2014, Vol. 50, No. 3, pp. 125–132.
  • [25] Saini S., Kaur G., Real Power Loss Reduction in Distribution Network through Distributed Generation Integration by Implementing SPSO, 2016 International Conference on Electrical Power and Energy Systems (ICEPES).
  • [26] Bhumkittipich K.., Phuangpornpitak W., Optimal Placement and Sizing of Distributed Generation for Power Loss Reduction using Particle Swarm Optimization, Energy Procedia 34 (2013) 307–317.
  • [27] Amer M., Namaane A., M’Sirdi N. K., Optimization of Hybrid Renewable Energy Systems (HRES) Using PSO for Cost Reduction, Energy Procedia 42 (2013) 318 – 327.
  • [28] HassanzadehFarda H., Jalilian A., Optimal sizing and location of renewable energy based DG units in distribution systems considering load growth, Electrical Power and Energy Systems 101 (2018) 356–370.
  • [29] Wazir A., Arbab N., Analysis and Optimization of IEEE 33 Bus Radial Distributed System Using Optimization Algorithm, (JETAE) Journal of Emerging Trends in Applied Engineering (ISSN 2518-4059), Vol. 1, No. 2, 2016.
  • [30] Lekbich A., Belfqih A., Cherkaoui N., Elmariami F., Boukherouaa J., Sabri O., Dazahra M. N., A Secure Machineto- Machine Wireless Communication Using DNP3 Protocol for Feeder Automation in Smart Grid, UNet 2017: Ubiquitous Networking pp 275-286.
  • [31] Zedak C., Lekbich A., Belfqih A., Boukherouaa J., Haidi T., El Mariami F., A proposed secure remote data acquisition architecture of photovoltaic systems based on the Internet of Things, 2018 6th International Conference on Multimedia Computing and Systems (ICMCS).
  • [32] Lekbich A., Belfqih A., Zedak C., Boukherouaa J., El Mariami F., A secure wireless control of Remote Terminal Unit using the Internet of Things in smart grids, 2018 6th International Conference on Wireless Networks and Mobile Communications (WINCOM).
  • [33] Zedak C., Belfqih A., Lekbich A., Boukherouaa J., Laamimi A., Implementation of an Intelligent System for Remote Control of Decentralized photovoltaic Sources using the Internet of Things Infrastructure, 2019 7th International Renewable and Sustainable Energy Conference (IRSEC).
  • [34] Lekbich A., Belfqih A., Ouderhman T., Boukherouaa J., ElMariami F., An analytical multicriteria model based on graph theory for reliability enhancement in distribution electrical networks, International Journal of Electrical and Computer Engineering (IJECE) Vol. 9, No. 6, December 2019, pp. 4625-4636.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-746bad11-f93b-473d-8b44-4f49a3193d90
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