DOI: https://doi.org/10.20998/2074-272X.2020.4.08

SIMULTANEOUS ALLOCATION OF MULTIPLE DISTRIBUTED GENERATION AND CAPACITORS IN RADIAL NETWORK USING GENETIC-SALP SWARM ALGORITHM

Chabane Djabali, Tarek Bouktir

Анотація


Цель. В последние годы задача размещения распределенной генерации и батарей конденсаторов привлекает особое внимание многих организаций и исследователей. В данной работе рассмотрены отдельное и совместное размещение распределенной генерации  и батарей конденсаторов в радиальной распределительной сети при различных уровнях нагрузки: слабом, среднем и пиковом с использованием алгоритма генетического роя сальпов (genetic-salp swarm algorithm). Разработанный алгоритм гибридной оптимизации генетического роя сальпов (GA-SSA) использует системные входные переменные радиальной распределительной сети для поиска оптимальных решений с целью максимизации преимуществ их установки с минимальными затратами для минимизации потерь активной и реактивной мощности и улучшения профиля напряжения. Тестирование предложенного алгоритма гибридной оптимизации генетического роя сальпов было проведено на экспериментальных 34-шинных системах IEEE и реальной 112-шиной алжирской распределенной сети Джанета (крайний юг Алжира). Численные результаты подтверждают способность предложенного алгоритма достигать лучших результатов с большей точностью по сравнению с результатом, полученным методом роя сальпов, генетическим алгоритмом, оптимизацией роя частиц и алгоритмами гибридной оптимизации роя частиц.

Ключові слова


генетический алгоритм; алгоритм роя сальпов; реальные потери мощности; распределенная генерация; конденсаторы

Повний текст:

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Посилання


Satyakar V.V.K., Viswanatha Rao J., Manikandan S. Analysis of radial distribution system by optimal placement of DG using DPSO. International Journal of Engineering Research & Technology, 2012, vol. 1, iss. 10, pp. 1-7.

Khanjanzadeh A., Arabi M., Sedighizadeh M., Rezazadeh A. Distributed generation allocation to improve steady state voltage stability of distribution networks using particle swarm optimization and genetic algorithm. Canadian Journal on Electrical and Electronics Engineering, 2011, vol. 2, no. 6.

Herbadji O., Nadhir K., Slimani L., Bouktir T. Optimal power flow with emission controlled using firefly algorithm. 2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO), Apr. 2013.doi: 10.1109/icmsao.2013.6552559.

Gkaidatzis P.A., Bouhouras A.S., Doukas D.I., Sgouras K.I., Labridis D.P. Load variations impact on optimal DG placement problem concerning energy loss reduction. Electric Power Systems Research, 2017, vol. 152, pp. 36-47.doi: 10.1016/j.epsr.2017.06.016.

Baghipour R., Hosseini S.M. Placement of DG and capacitor for loss reduction, reliability and voltage improvement in distribution networks using BPSO. International Journal of Intelligent Systems and Applications, 2012, vol. 4, no. 12, pp. 57-64.doi: 10.5815/ijisa.2012.12.08.

Kumar Injeti S., Shareef S.M., Kumar T.V. Optimal allocation of DGs and capacitor banks in radial distribution systems. Distributed Generation & Alternative Energy Journal, 2018, vol. 33, no. 3, pp. 6-34.doi: 10.1080/21563306.2018.12016723.

Kannan S.M., Renuga P., Kalyani S., Muthukumaran E. Optimal capacitor placement and sizing using Fuzzy-DE and Fuzzy-MAPSO methods. Applied Soft Computing, 2011, vol. 11, no. 8, pp. 4997-5005. doi: 10.1016/j.asoc.2011.05.058.

Yang X.-S. Firefly Algorithms for Multimodal Optimization. In: Watanabe O., Zeugmann T. (eds) Stochastic Algorithms: Foundations and Applications. SAGA 2009. Lecture Notes in Computer Science, vol. 5792. doi: 10.1007/978-3-642-04944-6_14.

Aydin I. A new approach based on firefly algorithm for vision-based railway overhead inspection system. Measurement, 2015, vol. 74, pp. 43-55.doi: 10.1016/j.measurement.2015.07.022.

Gao M.-L., Li L.-L., Sun X.-M., Yin L.-J., Li H.-T., Luo D.-S. Firefly algorithm (FA) based particle filter method for visual tracking. Optik, 2015, vol. 126, no. 18, pp. 1705-1711.doi: 10.1016/j.ijleo.2015.05.028.

Syahputra R., Soesanti I., Ashari M. Performance enhancement of distribution network with DG integration using modified PSO algorithm. Journal of Electrical Systems, 2016, vol. 12, iss. 1, pp. 1-19.

Rezaei M., Ghanbari M. Optimization of sizing and placement of photovoltaic (PV) system in distribution networks considering power variations of PV and consumers using dynamic particle swarm optimization algorithm (DPSO). Indian Journal of Fundamental and Applied Life Sciences, 2015, vol. 5(S1), pp. 3321-3327.

Siavash M., Pfeifer C., Rahiminejad A., Vahidi B. Reconfiguration of smart distribution network in the presence of renewable DG’s using GWO algorithm. IOP Conference Series: Earth and Environmental Science, 2017, vol. 83, p. 012003.doi: 10.1088/1755-1315/83/1/012003.

Ajenikoko G.A., Ajenikoko O.E.O., Adedoyin A., Badmus B.E., Lawal E.A. Application of genetic algorithm to network feeder reconfiguration in radial distribution system. International journal of advanced scientific and technical research, 2018, vol. 5, no. 8, pp. 15-29.doi: 10.26808/rs.st.i8v5.02.

El-Fergany A.A., Abdelaziz A.Y. Cuckoo search-based algorithm for optimal shunt capacitors allocations in distribution networks. Electric Power Components and Systems, 2013, vol. 41, no. 16, pp. 1567-1581.doi: 10.1080/15325008.2013.834525.

Mohamed Shuaib Y., Surya Kalavathi M., Christober Asir Rajan C. Optimal capacitor placement in radial distribution system using Gravitational Search Algorithm. International Journal of Electrical Power & Energy Systems, 2015, vol. 64, pp. 384-397.doi: 10.1016/j.ijepes.2014.07.041.

Sambaiah K.S., Jayabarathi T. Optimal allocation of renewable distributed generation and capacitor banks in distribution systems using salp swarm algorithm. International journal of renewable energy research, 2019, vol. 9, no. 1, pp. 96-107.

Mohamed E.A., Mohamed A.-A.A., Mitani Y. Hybrid GMSA for optimal placement and sizing of distributed generation and shunt capacitors. Journal of Engineering Science and Technology Review, 2018, vol. 11, no. 1, pp. 55-65.doi: 10.25103/jestr.111.07.

Duong M., Pham T., Nguyen T., Doan A., Tran H. Determination of optimal location and sizing of solar photovoltaic distribution generation units in radial distribution systems. Energies, 2019, vol. 12, no. 1, p. 174.doi: 10.3390/en12010174.

Sajjadi S.M., Haghifam M.-R., Salehi J. Simultaneous placement of distributed generation and capacitors in distribution networks considering voltage stability index. International Journal of Electrical Power & Energy Systems, 2013, vol. 46, pp. 366-375.doi: 10.1016/j.ijepes.2012.10.027.

Xin J., Zhong J., Yang F., Cui Y., Sheng J. An improved genetic algorithm for path-planning of unmanned surface vehicle. Sensors, 2019, vol. 19, no. 11, p. 2640.doi: 10.3390/s19112640.

Khanra A., Pal T., Maiti M.K., Maiti M. Multi-objective four dimensional imprecise TSP solved with a hybrid multi-objective ant colony optimization-genetic algorithm with diversity. Journal of Intelligent & Fuzzy Systems, 2019, vol. 36, no. 1, pp. 47-65.doi: 10.3233/jifs-172127.

Mirjalili S., Gandomi A.H., Mirjalili S.Z., Saremi S., Faris H., Mirjalili S.M. Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems. Advances in Engineering Software, 2017, vol. 114, pp. 163-191.doi: 10.1016/j.advengsoft.2017.07.002.

Mafarja M., Eleyan D., Abdullah S., Mirjalili S. S-Shaped vs. V-Shaped Transfer Functions for Ant Lion Optimization Algorithm in Feature Selection Problem. Proceedings of the International Conference on Future Networks and Distributed Systems - ICFNDS’17, 2017.doi: 10.1145/3102304.3102325.

Hegazy A.E., Makhlouf M.A., El-Tawel G.S. Improved salp swarm algorithm for feature selection. Journal of King Saud University – Computer and Information Sciences, 2020, vol. 32, no. 3, pp. 335-344.doi: 10.1016/j.jksuci.2018.06.003.

Amrane Y. Optimal reactive power compensation in the transport and distribution networks. Doctoral Thesis, University of Science and Technology Houari Boumediene, Algeria, 2014.

Chandramohan S., Atturulu N., Devi R.P.K., Venkatesh B. Operating cost minimization of a radial distribution system in a deregulated electricity market through reconfiguration using NSGA method. International Journal of Electrical Power & Energy Systems, 2010, vol. 32, no. 2, pp. 126-132.doi: 10.1016/j.ijepes.2009.06.023.


Пристатейна бібліографія ГОСТ


  1. Satyakar V.V.K., Viswanatha Rao J., Manikandan S. Analysis of radial distribution system by optimal placement of DG using DPSO. International Journal of Engineering Research & Technology, 2012, vol. 1, iss. 10, pp. 1-7.
  2. Khanjanzadeh A., Arabi M., Sedighizadeh M., Rezazadeh A. Distributed generation allocation to improve steady state voltage stability of distribution networks using particle swarm optimization and genetic algorithm. Canadian Journal on Electrical and Electronics Engineering, 2011, vol. 2, no. 6.
  3. Herbadji O., Nadhir K., Slimani L., Bouktir T. Optimal power flow with emission controlled using firefly algorithm. 2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO), Apr. 2013.doi: 10.1109/icmsao.2013.6552559.
  4. Gkaidatzis P.A., Bouhouras A.S., Doukas D.I., Sgouras K.I., Labridis D.P. Load variations impact on optimal DG placement problem concerning energy loss reduction. Electric Power Systems Research, 2017, vol. 152, pp. 36-47.doi: 10.1016/j.epsr.2017.06.016.
  5. Baghipour R., Hosseini S.M. Placement of DG and capacitor for loss reduction, reliability and voltage improvement in distribution networks using BPSO. International Journal of Intelligent Systems and Applications, 2012, vol. 4, no. 12, pp. 57-64.doi: 10.5815/ijisa.2012.12.08.
  6. Kumar Injeti S., Shareef S.M., Kumar T.V. Optimal allocation of DGs and capacitor banks in radial distribution systems. Distributed Generation & Alternative Energy Journal, 2018, vol. 33, no. 3, pp. 6-34.doi: 10.1080/21563306.2018.12016723.
  7. Kannan S.M., Renuga P., Kalyani S., Muthukumaran E. Optimal capacitor placement and sizing using Fuzzy-DE and Fuzzy-MAPSO methods. Applied Soft Computing, 2011, vol. 11, no. 8, pp. 4997-5005. doi: 10.1016/j.asoc.2011.05.058.
  8. Yang X.-S. Firefly Algorithms for Multimodal Optimization. In: Watanabe O., Zeugmann T. (eds) Stochastic Algorithms: Foundations and Applications. SAGA 2009. Lecture Notes in Computer Science, vol. 5792. doi: 10.1007/978-3-642-04944-6_14.
  9. Aydin I. A new approach based on firefly algorithm for vision-based railway overhead inspection system. Measurement, 2015, vol. 74, pp. 43-55.doi: 10.1016/j.measurement.2015.07.022.
  10. Gao M.-L., Li L.-L., Sun X.-M., Yin L.-J., Li H.-T., Luo D.-S. Firefly algorithm (FA) based particle filter method for visual tracking. Optik, 2015, vol. 126, no. 18, pp. 1705-1711.doi: 10.1016/j.ijleo.2015.05.028.
  11. Syahputra R., Soesanti I., Ashari M. Performance enhancement of distribution network with DG integration using modified PSO algorithm. Journal of Electrical Systems, 2016, vol. 12, iss. 1, pp. 1-19.
  12. Rezaei M., Ghanbari M. Optimization of sizing and placement of photovoltaic (PV) system in distribution networks considering power variations of PV and consumers using dynamic particle swarm optimization algorithm (DPSO). Indian Journal of Fundamental and Applied Life Sciences, 2015, vol. 5(S1), pp. 3321-3327.
  13. Siavash M., Pfeifer C., Rahiminejad A., Vahidi B. Reconfiguration of smart distribution network in the presence of renewable DG’s using GWO algorithm. IOP Conference Series: Earth and Environmental Science, 2017, vol. 83, p. 012003.doi: 10.1088/1755-1315/83/1/012003.
  14. Ajenikoko G.A., Ajenikoko O.E.O., Adedoyin A., Badmus B.E., Lawal E.A. Application of genetic algorithm to network feeder reconfiguration in radial distribution system. International journal of advanced scientific and technical research, 2018, vol. 5, no. 8, pp. 15-29.doi: 10.26808/rs.st.i8v5.02.
  15. El-Fergany A.A., Abdelaziz A.Y. Cuckoo search-based algorithm for optimal shunt capacitors allocations in distribution networks. Electric Power Components and Systems, 2013, vol. 41, no. 16, pp. 1567-1581.doi: 10.1080/15325008.2013.834525.
  16. Mohamed Shuaib Y., Surya Kalavathi M., Christober Asir Rajan C. Optimal capacitor placement in radial distribution system using Gravitational Search Algorithm. International Journal of Electrical Power & Energy Systems, 2015, vol. 64, pp. 384-397.doi: 10.1016/j.ijepes.2014.07.041.
  17. Sambaiah K.S., Jayabarathi T. Optimal allocation of renewable distributed generation and capacitor banks in distribution systems using salp swarm algorithm. International journal of renewable energy research, 2019, vol. 9, no. 1, pp. 96-107.
  18. Mohamed E.A., Mohamed A.-A.A., Mitani Y. Hybrid GMSA for optimal placement and sizing of distributed generation and shunt capacitors. Journal of Engineering Science and Technology Review, 2018, vol. 11, no. 1, pp. 55-65.doi: 10.25103/jestr.111.07.
  19. Duong M., Pham T., Nguyen T., Doan A., Tran H. Determination of optimal location and sizing of solar photovoltaic distribution generation units in radial distribution systems. Energies, 2019, vol. 12, no. 1, p. 174.doi: 10.3390/en12010174.
  20. Sajjadi S.M., Haghifam M.-R., Salehi J. Simultaneous placement of distributed generation and capacitors in distribution networks considering voltage stability index. International Journal of Electrical Power & Energy Systems, 2013, vol. 46, pp. 366-375.doi: 10.1016/j.ijepes.2012.10.027.
  21. Xin J., Zhong J., Yang F., Cui Y., Sheng J. An improved genetic algorithm for path-planning of unmanned surface vehicle. Sensors, 2019, vol. 19, no. 11, p. 2640.doi: 10.3390/s19112640.
  22. Khanra A., Pal T., Maiti M.K., Maiti M. Multi-objective four dimensional imprecise TSP solved with a hybrid multi-objective ant colony optimization-genetic algorithm with diversity. Journal of Intelligent & Fuzzy Systems, 2019, vol. 36, no. 1, pp. 47-65.doi: 10.3233/jifs-172127.
  23. Mirjalili S., Gandomi A.H., Mirjalili S.Z., Saremi S., Faris H., Mirjalili S.M. Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems. Advances in Engineering Software, 2017, vol. 114, pp. 163-191.doi: 10.1016/j.advengsoft.2017.07.002.
  24. Mafarja M., Eleyan D., Abdullah S., Mirjalili S. S-Shaped vs. V-Shaped Transfer Functions for Ant Lion Optimization Algorithm in Feature Selection Problem. Proceedings of the International Conference on Future Networks and Distributed Systems - ICFNDS’17, 2017.doi: 10.1145/3102304.3102325.
  25. Hegazy A.E., Makhlouf M.A., El-Tawel G.S. Improved salp swarm algorithm for feature selection. Journal of King Saud University – Computer and Information Sciences, 2020, vol. 32, no. 3, pp. 335-344.doi: 10.1016/j.jksuci.2018.06.003.
  26. Amrane Y. Optimal reactive power compensation in the transport and distribution networks. Doctoral Thesis, University of Science and Technology Houari Boumediene, Algeria, 2014.
  27. Chandramohan S., Atturulu N., Devi R.P.K., Venkatesh B. Operating cost minimization of a radial distribution system in a deregulated electricity market through reconfiguration using NSGA method. International Journal of Electrical Power & Energy Systems, 2010, vol. 32, no. 2, pp. 126-132.doi: 10.1016/j.ijepes.2009.06.023.

 





Copyright (c) 2020 Chabane Djabali, Tarek Bouktir


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