707a5c0a-d66d-4eeb-9c0f-ea6d872774df20210115112014100wseamdt@crossref.orgMDT DepositWSEAS TRANSACTIONS ON POWER SYSTEMS1790-506010.37394/232016http://wseas.org/wseas/cms.action?id=4057217202021720201510.37394/232016.2020.15http://wseas.org/wseas/cms.action?id=23192Adel A. AboEl-ElaElectrical Engineering Department, Faculty of Engineering, Menoufiya University, Shebin El-Kom, EgyptAbdullah M.ShaheenElectrical Engineering Department, Faculty of Engineering, Suez University Suez, EgyptRagab A.El-SehiemyElectrical Engineering Department, Kafrelsheikh University, Kafrelsheikh, EgyptNora K.El-AyaaHigh institue of Engineering and Technology, El-Bajour, EgyptSeveral studies of distribution network enhancement focused only on the optimization of either the integration of distributed generations (DGs) or system reconfiguration (SRC). However, very few researches have been exerted for incorporating both where this merge represents further complexities in searching for maximizing their benefits and minimizing the investments. This paper sheds light on the simultaneous allocation of DGs with SRC in distribution systems. It suggests a multi-objective formulation considering multiple objectives: active power loss minimization, total cost reduction, and voltage profile improvement. For solving this problem, an improved spotted hyena optimizer (ISHO) is developed. The SHO demonstrates a good feature in finding the optimal or nearly optimal subset with simple structure to minimize the given fitness function. To support the exploration characteristics of the proposed ISHO, it augments a switch strategy in the updating mechanism of the spotted hyena’s positions and random positions are generated instead of the violated spotted hyenas. The simulations are investigated for the integration of a single and multiple DGs with SRC for two standard systems, which are IEEE 33 and 69-node test systems. The obtained results prove the efficiency of the suggested method for the network manager to find the optimal DGs allocation with SRC considering multiple criteria. These results are compared with previous literatures to demonstrate the effectiveness of the proposed algorithm.416202041620206067https://www.wseas.org/multimedia/journals/power/2020/a145116-082.pdf10.37394/232016.2020.15.7http://www.wseas.org/multimedia/journals/power/2020/a145116-082.pdf10.1109/jsyst.2020.2964743A. M. Shaheen and R.A. El-Sehiemy, "A Multiobjective Salp Optimization Algorithm for Techno-Economic-Based Performance Enhancement of Distribution Networks", IEEE Systems Journal, 2020. 10.1002/etep.2545A.M. Elsayed, M.M. Mishref and S.M. Farrag, "Distribution systemperformance enhancement (Egyptian distribution system real case study)", Int. Trans. Elect. Energy Syst. 2018.10.1109/access.2019.2930631M.B. Shafik, H. Chen, G.I. Rashed, R.A. El-Sehiemy, M.R. Elkadeem,S. Wang, “Adequate topology for efficient energy resources utilization of active distribution networks equipped with soft open points,” IEEE Access, vol. 7, pp. 99003-99016, 2019.10.1007/s00202-016-0416-zS. Bahceci, A. Dogan, T. Yalcinoz, F. Daldaban, “Energy storage system location selection for smart grid applications on distribution networks”, Electrical Engineering, vol. 99, pp. 357–366, 2017. 10.1109/jsyst.2015.2491966A.M. Shaheen, R. El Sehiemy, and S.M. Farrag, "Adequate planning of shunt power capacitors involving transformer capacity release benefit", IEEE Sys. J., vol. 12, no. 1, pp. 373-382, March 2018.10.1049/oap-cired.2017.0020A.M. Shaheen and R.A. El-Sehiemy, ''Optimal allocation of capacitor devices on MV distribution networks using crow search algorithm'', CIRED-Open Access Proceedings Journal, vol. 1, pp. 2453-2457, 2017.10.1109/jsyst.2018.2796847A.A. Abou El-Ela, R.A. El-Sehiemy and A.S. Abbas, "Optimal placement and sizing of distributed generation and capacitor banks in distribution systems using water cycle algorithm",IEEE Syst. J., vol. 12, no. 4, pp. 3629-3636, 2018.10.1109/mepcon47431.2019.9008228A.A. El-Ela, R. El Sehiemy, A.M. Shaheen, and I.A. Eissa, "Optimal allocation of DGs and capacitor devices using improved grey wolf optimizer", 21st International Middle East Power Systems Conference (MEPCON'21), Tanta University, 2019.S. Mishra, D. Das, S. Paul, ”Acomprehensive review on power distribution network reconfiguration”, Energy Syst., vol. 8, pp. 227–284, 2017. 10.1016/j.renene.2017.12.106I. B. Hamida, S. B. Salah, F. Msahli, M. F. Mimouni, “Optimal network reconfiguration and renewable DG integration considering time sequence variation in load and DGs”, Renewable Energy, vol. 121, pp. 66-80, 2018.10.1016/j.apenergy.2018.10.030A. Bayat and A. Bagheri, "Optimal active and reactive power allocation in distribution networks using a novel heuristic approach" Applied Energy, vol. 233-234, pp. 71-85,2019.G. Gharehpetian, and S. Agah, "Distributed generation systems, design, operation and grid integration", Elsevier, 2017.10.1080/15325000903273403T.N. Shukla, S.P. Singh, V. Shrinivasarao, K.B. Naik, “Optimal sizing of distributed generation placed on radial distribution systems”, Elect. Power Compon. Syst., vol. 38, pp. 260–274, 2010.10.1109/tie.2011.2112316D.Q . Hung, N. Mithulananthan, “Multiple distributed generators placement in primary distribution networks for loss reduction”, IEEE Trans. Ind. Electron., vol. 60, pp. 1700–1708, 2013.10.1109/tpwrs.2012.2200049R. S. Al Abri, E. F. El-Saadany, Y. M. Atwa, “Optimal placement and sizing method to improve the voltage stability margin in a distribution system using distributed generation”, IEEE Trans. Power Syst., vol. 28, pp. 326–334, 2013.10.1016/j.ijepes.2013.05.040S. Kansal, K. Vishal, T. Barjeev, “Optimal placement of different type of DG sources in distribution networks”, Int. J. Electr. Power Eng. Syst., vol. 53, pp. 752–760, 2013.10.1016/j.eswa.2013.10.010S. Devi and M. Geethanjali, “Application of Modified Bacterial Foraging Optimization Algorithm for Optimal Placement and Sizing of Distributed Generation”, Expert Syst. Applications, vol. 41, no. 6, pp. 2772-2781, May 2014.10.1109/tpwrd.2014.2300845A. Ameli, S. Bahrami, F. Khazaeli, M. R. Haghifam, “A multiobjective particle swarm optimization for sizing and placement of DGs from DG owner's and distribution company's viewpoints”, IEEE Trans. Power Deliv., vol. 29, pp. 1831–1840, 2014. N.Ranjan, “Optimal feeder reconfiguration of distributed system with distributed generation units using Hypercube-Ant Colony optimization algorithm”, Int. J. Electr. Eng. Inform., vol. 6, pp. 107–128, 2014.10.1016/j.egyr.2015.03.002R. Rajaram, K.S. Kumar, N. Rajasekar, “Power system reconfiguration in a radial distribution network for reducing losses and to improve voltage profile using modified plant growth simulation algorithm with Distributed Generation (DG)”, Energy Reports, vol. 1, pp. 116–122, 2015.10.1109/tpwrs.2012.2197227R.S. Rao, K. Ravindra, K. Satish, S.V.Narasimham, “Power loss minimization distribution system using network reconfiguration in the presence of distributed generation”, IEEE Trans. Power Syst., vol. 28, pp. 317–325, 2013. 10.1016/j.advengsoft.2017.05.014G.Dhiman, V.Kumar, “Spotted hyena optimizer: a novel bio-inspired based metaheuristic technique for engineering applications”,Adv. Eng. Softw. 114(Supplement C), 48–70 (2017).J. J. Grainger, W. D. Stevenson, "Power system analysis", Mcgraw-Hill Book Company, New York, 1994.10.1016/j.ijepes.2015.12.004A. M. Shaheen, R. El Sehiemy, and S. M. Farrag, ''A Novel Adequate Bi-Level Reactive Power Planning Strategy'', Int. J. Elect. Power Energy Syst., vol. 78, pp. 897–909, 2016.10.1007/s00521-017-3098-1A. M. Shaheen and R. A. El-Sehiemy, ''A reactive power planning procedure considering iterative identification of VAR candidate buses", Neural Computing and Applications, June 2017.10.1109/drpt.2000.855672M. A. Kashem, V. Ganapathy, G. B. Jasmon, and M. I. Buhari, “A novel method for loss minimization in distribution networks”,Int.Conf.electric utility deregulation restructuring power tech., pp. 251–257, 2000.10.1109/mepcon47431.2019.9008170A. A. El-Ela, R. El Sehiemy, and N. El-Ayaat, "Multi-objective Binary Particle Swarm Optimization Algorithm for Optimal Distribution System reconfiguration", 21st Int.Middle East Power Systems Conf. (MEPCON'21), Tanta University, 2019.10.1049/iet-gtd.2016.1379A. M. Shaheen, R. El Sehiemy, and S. M. Farrag, ''MOPF solution methodology", IET Gen. Transm. Dist., vol. 11, no. 2, 2017.M. E. Baran, and F. F. Wu. “Optimum sizing of capacitor placed on radial distribution systems”, IEEE Trans. PWRD 1989. pp. 735–743.