Show simple item record

Heuristic approach for optimal location and sizing of distributed generators in AC distribution networks

dc.creatorBocanegra S.Y.
dc.creatorMontoya O.D.
dc.identifier.citationWSEAS Transactions on Power Systems; Vol. 14, pp. 113-121
dc.description.abstractThis paper addresses, from a heuristic point of view, the problem of the optimal location and sizing of distributed generators (DGs) in alternating-current distribution networks with radial topology. A master–slave optimization approach is followed to place and size the DGs. In the master stage a simple recursive seach method based on sequential searching is proposed. In the case of the slave algorithm, we present an emerging metaheuristic for solving the optimal power flow problem. This metaheuristic is called the vortex search algorithm. It works with a Gaussian distribution and a variable radius function for exploring and exploiting the solution space. Numerical simulations of 33-and 69-node test feeders show its efficiency, simplicity and robusteness in comparison to other methods in the literature. © 2019, World Scientific and Engineering Academy and Society. All rights reserved.eng
dc.description.sponsorshipDepartment of Science, Information Technology and Innovation, Queensland Government, DSITI
dc.format.mediumRecurso electrónico
dc.publisherWorld Scientific and Engineering Academy and Society
dc.titleHeuristic approach for optimal location and sizing of distributed generators in AC distribution networks
dcterms.bibliographicCitationGrisales-Noreña, L.F., Gonzalez-Montoya, D., Ramos-Paja, C.A., Optimal Sizing and Location of Distributed Generators Based on PBIL and PSO Techniques (2018) Energies, 11 (1018), pp. 1-27. , Feb
dcterms.bibliographicCitationMontoya, O.D., Garces, A., Castro, C.A., Optimal Conductor Size Selection in Radial Distribution Networks Using a Mixed-Integer Non-Linear Programming Formula-tion (2018) IEEE Latin America Transactions, 16 (8), pp. 2213-2220. , Aug
dcterms.bibliographicCitationAl-Hajri, M.F., El-Hawary, M.E., Exploiting the Radial Distribution Structure in Developing a Fast and Flexible Radial Power Flow for Unbalanced Three-Phase Networks (2010) IEEE Trans. Power Del., 25 (1), pp. 378-389. , Jan
dcterms.bibliographicCitationPrasad, K., Ranjan, R., Sahoo, N.C., Chaturvedi, A., Op-timal reconfiguration of radial distribution systems using a fuzzy mutated genetic algorithm (2005) IEEE Trans. Power Del, 20 (2), pp. 1211-1213. , Apr
dcterms.bibliographicCitationIsmael, S.M., Abdel Aleem, S.H.E., Abdelaziz, A.Y., Zobaa, A.F., Practical Considerations for Optimal Conductor Reinforcement and Hosting Capacity Enhancement in Radial Distribution Systems (2018) IEEE Access, 6, pp. 268-327
dcterms.bibliographicCitationCarvalho, P.M.S., Ferreira, L.A.F.M., Urban distribution network investment criteria for reliability adequacy (2004) IEEE Trans. Power Syst., 19 (2), pp. 1216-1222. , May
dcterms.bibliographicCitationAbdelaziz, A., Ali, E., Elazim, S.A., Optimal sizing and locations of capacitors in radial distribution systems via flower pollination optimization algorithm and power loss in-dex (2016) Engineering Science and Technology, an International Journal, 19 (1), pp. 610-618
dcterms.bibliographicCitationDixit, M., Kundu, P., Jariwala, H.R., Incorporation of distributed generation and shunt capacitor in radial distribution system for techno-economic benefits (2017) Engineering Science and Technology, an International Journal, 20 (2), pp. 482-493
dcterms.bibliographicCitationPrakash, P., Khatod, D.K., Optimal sizing and siting techniques for distributed generation in distribution systems: A review (2016) Renewable and Sustainable Energy Reviews, 57, pp. 111-130. , May
dcterms.bibliographicCitationMontoya, O.D., Grisales-Noreña, L.F., Garrido, V.M., Optimal Location and Sizing of Capacitors in Radial Distribution Networks Using an Exact MINLP Model for Operating Costs Minimization (2017) WSEAS Transactions on Business and Economics, 14 (27), pp. 244-252
dcterms.bibliographicCitationDantas, F.V., Fitiwi, D.Z., Santos, S.F., Catalão, J.P.S., Dynamic reconfiguration of distribution network systems: A key flexibility option for RES integration 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe, pp. 1-6. , (EEEIC / I CPS Europe), June 2017
dcterms.bibliographicCitationKianmehr, E., Nikkhah, S., Vahidinasab, V., Giaouris, D., Taylor, P., A Resilience-based Architecture for Joint Distributed Energy Resources Allocation and Hourly Network Reconfiguration (2019) IEEE Trans. Ind. Informat., pp. 1-11
dcterms.bibliographicCitationMoradi, M., Abedini, M., A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems (2012) Int. J. Electr. Power Energy Syst, 34 (1), pp. 66-74
dcterms.bibliographicCitationNguyen, T.P., Dieu, V.N., Vasant, P., Symbiotic Organism Search Algorithm for Optimal Size and Siting of Distributed Generators in Distribution Systems (2017) International Journal of Energy Optimization and Engineering, 6 (3), pp. 1-28. , Jul
dcterms.bibliographicCitationMontoya, O.D., Grajales, A., Garces, A., Castro, C.A., Distribution Systems Operation Considering Energy Storage Devices and Distributed Generation (2017) IEEE Latin America Transactions, 15 (5), pp. 890-900. , May
dcterms.bibliographicCitationKanwar, N., Gupta, N., Niazi, K., Swarnkar, A., Simul-taneous allocation of distributed resources using improved teaching learning based optimization (2015) Energy Conversion and Management, 103, pp. 387-400. , Oct
dcterms.bibliographicCitationMohanty, B., Tripathy, S., A teaching learning based optimization technique for optimal location and size of DG in distribution network (2016) J. Electr. Syst. Inf. Technol, 3 (1), pp. 33-44
dcterms.bibliographicCitationGandomkar, M., Vakilian, M., Ehsan, M., A Genet-icBased Tabu Search Algorithm for Optimal DG Allocation in Distribution Networks (2005) Electric Power Components and Systems, 33 (12), pp. 1351-1362
dcterms.bibliographicCitationSultana, S., Roy, P.K., Oppositional krill herd algorithm for optimal location of distributed generator in radial distribution system (2015) Int. J. Electr. Power Energy Syst, 73, pp. 182-191
dcterms.bibliographicCitationSultana, S., Roy, P.K., Krill herd algorithm for optimal location of distributed generator in radial distribution system (2016) Appl. Soft Comput, 40, pp. 391-404
dcterms.bibliographicCitationYammani, C., Maheswarapu, S., Matam, S.K., A Multi-objective Shuffled Bat algorithm for optimal placement and sizing of multi distributed generations with different load models (2016) Int. J. Electr. Power Energy Syst, 79, pp. 120-131
dcterms.bibliographicCitationSudabattula, S.K., Kowsalya, M., Optimal allocation of solar based distributed generators in distribution system using Bat algorithm (2016) Perspect. Sci., 8, pp. 270-272
dcterms.bibliographicCitationMohamed, I.A., Kowsalya, M., Optimal size and siting of multiple distributed generators in distribution system using bacterial foraging optimization (2014) Swarm Evol. Comput, 15, pp. 58-65. , Apr
dcterms.bibliographicCitationSingh, A.K., Parida, S.K., Optimal placement of DGs using MINLP in deregulated electricity market (2010) Proceedings of the International Conference on Energy and Sustainable Development: Issues and Strategies (ESD 2010), pp. 1-7. , June
dcterms.bibliographicCitationKaur, S., Kumbhar, G., Sharma, J., A MINLP technique for optimal placement of multiple DG units in distribution systems (2014) Int. J. Electr. Power Energy Syst, 63, pp. 609-617. , Supplement C
dcterms.bibliographicCitationNojavan, S., Jalali, M., Zare, K., An MINLP approach for optimal DG unit’s allocation in radial/mesh distribution systems take into account voltage stability index (2015) Transactions of Electrical Engineering, 39 (E2), pp. 155-165. , Nov
dcterms.bibliographicCitationInjeti, S.K., Kumar, N.P., A novel approach to identify optimal access point and capacity of multiple DGs in a small, medium and large scale radial distribution systems (2013) Int. J. Electr. Power Energy Syst, 45 (1), pp. 142-151
dcterms.bibliographicCitationDogan, B., Olmez, T., Vortex search algorithm for the analog active filter component selection problem (2015) AEU – International Journal of Electronics and Communications, 69 (9), pp. 1243-1253
dcterms.bibliographicCitationOzkis, A., Babalk, A., A novel metaheuristic for multi-objective optimization problems: The multi-objective vor- tex search algorithm (2017) Information Sciences, 402, pp. 124-148
dcterms.bibliographicCitationRamli, M.A.M., Bouchekara, H.R.E.H., Estimation of solar radiation on PV panel surface with optimum tilt angle using vortex search algorithm (2018) IET Renewable Power Gener, 12 (10), pp. 1138-1145
dcterms.bibliographicCitationJamian, J., Mustafa, M., Mokhlis, H., Optimal multiple distributed generation output through rank evolutionary particle swarm optimization (2015) Neurocomputing, 152, pp. 190-198
dcterms.bibliographicCitationKollu, R., Rayapudi, S.R., Sadhu, V.L.N., A novel method for optimal placement of distributed generation in distribution systems using HSDO (2014) International Transactions on Electrical Energy Systems, 24 (4), pp. 547-561
dcterms.bibliographicCitationMahdad, B., Srairi, K., Adaptive differential search algorithm for optimal location of distributed generation in the presence of SVC for power loss reduction in distribution system (2016) Engineering Science and Technology, an International Journal, 19 (3), pp. 1266-1282
dc.subject.keywordsDistributed generators
dc.subject.keywordsDistribution networks
dc.subject.keywordsHeuristic approach
dc.subject.keywordsOptimal power flow
dc.subject.keywordsPower loss minimization
dc.subject.keywordsVortex search optimization
dc.rights.ccAtribución-NoComercial 4.0 Internacional
dc.identifier.instnameUniversidad Tecnológica de Bolívar
dc.identifier.reponameRepositorio UTB
dc.description.notesThis work was supported in part by the Administrative Department of Science, Technology and Innovation of Colombia (COLCIEN-CIAS) through the National Scholarship Program under Grant 727-2015 and in part by the Universidad Tecnol?gica de Bol?var under Project C2019P020.

Files in this item


There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record
Except where otherwise noted, this item's license is described as