Abstract
This work proposed a method for the best placement and sizing of the Distributed Generations (DGs) in the distribution systems network with aim to minimize the the total system losses. The total system losses includes the resultant of real power loss and reactive power loss. The main aim of presented work is to minimize the system losses and also to enhance the system's voltage profile. This paper is made from the fact that DGs are more advantageous to achieve the demand of power that are close to the load centers compared to those at the centralized power generation. This work considers 85-bus radial distribution network (RDN) for DG planning based on objective to minimize overall MVA losses of system. The desired objective is carried out with the help of MATPOWER/MATLAB and the comparison of obtained results with DG using cuckoo search algorithm is presented related to the base case results. At last, it can be concluded that cuckoo search is an efficient methodology for optimal size and placement of DGs.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Kanwar, N., Gupta, N., Niazi, K.R., Swarnkar, A., Bansal, R.C.: Simultaneous allocation of distributed energy resource using improved particle swarm optimization. Appl. Energy 185, 1684–1693 (2017)
Quadri, I.A., Bhowmick, S., Joshi, D.: A comprehensive technique for optimal allocation of distributed energy resources in radial distribution systems. Appl. Energy 211, 1245–1260 (2018)
Esmaeili, M., Sedighizadeh, M., Esmaili, M.: Multi-objective optimal reconfiguration and DG (Distributed Generation) power allocation in distribution networks using Big Bang-Big Crunch algorithm considering load uncertainty. Energy 103, 86–99 (2016)
Tanwar, S.S., Khatod, D.K.: Techno-economic and environmental approach for optimal placement and sizing of renewable DGs in distribution system. Energy 127, 52–67 (2017)
Nguyen, T.P., Vo, D.N.: A novel stochastic fractal search algorithm for optimal allocation of distributed generators in radial distribution systems. Appl. Soft Comput. 70, 773–796 (2018)
Dulău, L.I., Abrudean, M., Bică, D.: Effects of distributed generation on electric power systems. Procedia Technol. 12, 681–686 (2014)
Sun, Z., Zhang, X.Y.: Advances on distributed generation technology. Energy Procedia 17, 32–38 (2012)
Kumar, A., Rizwan, M., Nangia, U.: Optimal sizing of renewable energy resources in a microgrid for a distributed generation system. In: 2019 International Symposium on Advanced Electrical and Communication Technologies (ISAECT), pp. 1–6. IEEE (2019)
Moghaddas-Tafreshi, S.M., Mashhour, E.: Distributed generation modeling for power flow studies and a three-phase unbalanced power flow solution for radial distribution systems considering distributed generation. Electric Power Syst. Res. 79(4), 680–686 (2009)
Teng, J.H.: Modelling distributed generations in three-phase distribution load flow. IET Gener. Transm. Distrib. 2(3), 330–340 (2008)
Khushalani, S., Solanki, J.M., Schulz, N.N.: Development of three-phase unbalanced power flow using PV and PQ models for distributed generation and study of the impact of DG models. IEEE Trans. Power Syst. 22(3), 1019–1025 (2007)
Singh, S.N.: Distributed generation in power systems: an overview and key issues. In:Â 24rth Indian Engineering Congress (2009)
Wang, B.: Research on solving the optimal sizing and siting of distributed generation. In:Â IOP Conference Series: Earth and Environmental Science, vol. 52, no. 1, p. 012040. IOP Publishing (2017)
Sikorski, T., Rezmer, J., Luszcz, J.: Distributed generation and its impact on power quality in low-voltage distribution networks. In:Â Power quality issues in distributed generation. InTech (2015). https://doi.org/10.5772/61172
Mantovani, J.R.: A decomposition approach for integrated planning of primary and secondary distribution networks considering distributed generation. Int. J. Electr. Power Energy Syst. 106, 146–157 (2019)
ÇelÃk, D., Meral, M.E.: A flexible control strategy with overcurrent limitation in distributed generation systems. Int. J. Electr. Power Energy Syst. 104, 456–471 (2019)
Liu, J., Cheng, H., Zeng, P., Yao, L., Shang, C., Tian, Y.: Decentralized stochastic optimization based planning of integrated transmission and distribution networks with distributed generation penetration. Appl. Energy 220, 800–813 (2018)
Ehsan, A., Yang, Q.: Optimal integration and planning of renewable distributed generation in the power distribution networks: A review of analytical techniques. Appl. Energy 210, 44–59 (2018)
Breker, S., Rentmeister, J., Sick, B., Braun, M.: Hosting capacity of low-voltage grids for distributed generation: Classification by means of machine learning techniques. Appl. Soft Comput. 70, 195–207 (2018)
Luo, L., et al.: Optimal siting and sizing of distributed generation in distribution systems with PV solar farm utilized as STATCOM (PV-STATCOM). Appl. Energy 210, 1092–1100 (2018)
Yang, X.S., Deb, S.: Cuckoo search via Lévy flights. In: 2009, IEEE World congress on nature & biologically inspired computing (NaBIC), pp. 210–214 (2009)
Bohre, A.K., Agnihotri, G., Dubey, M.: Optimal sizing and sitting of DG with load models using soft computing techniques in practical distribution system. IET Gener. Transm. Distrib. 10(11), 2606–2621 (2016)
Kumar, B., Saw, B.K. Bohre, A.K.: Optimal distribution network reconfiguration to ımprove the system performances using PSO with multiple-objectives. In: 2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE), pp. 1–6. IEEE (2020)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Bhattacharjee, I., Bohre, A.K. (2022). Optimal Sizing and Placement of Multiple DGs in Distribution Network to Reduce Total Loss Using Cuckoo Search Optimization. In: Chen, J.IZ., Tavares, J.M.R.S., Iliyasu, A.M., Du, KL. (eds) Second International Conference on Image Processing and Capsule Networks. ICIPCN 2021. Lecture Notes in Networks and Systems, vol 300. Springer, Cham. https://doi.org/10.1007/978-3-030-84760-9_16
Download citation
DOI: https://doi.org/10.1007/978-3-030-84760-9_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-84759-3
Online ISBN: 978-3-030-84760-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)