Technical Indices Evaluation of Radial Distribution Network with Optimally Allocated DGs and Capacitors
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Abstract
Electric power distribution system planning is a key area of concentration for developing more efficient, trustworthy, and environmentally friendly energy sources in the future. While distributed generations (DGs) are excellent at reducing system actual power losses, shunt capacitors can supplement their effectiveness when utilized in tandem. It is feasible to achieve even higher reductions in power losses and enhanced system efficiency by combining DGs with shunt capacitors. The Loss Sensitivity Factor (LSF) measures how sensitive real power loss in a network is to changes in power injection (active or reactive power) at a single bus. The methodology analyses LSFs to assess the ideal sites for placing DGs and capacitors in radial distribution networks (RDNs). The Golden Jackal Optimization (GJO) strategy is adopted to discover the ideal sizing and allocation of DGs and capacitors. The strategy is tested using two RDNs, one with 33 buses and the other with 69 buses. In addition, five major technical indices are explored and examined, used as an evaluation criterion to distinguish between the optimal and baseline performances. These are the voltage deviation index (VDI), power loss index (PLI), fast voltage stability index (FVSI), line stability factor (LQP), and novel line stability index (NLSI). Voltage deviation, power loss, and voltage stability analysis-related indices are among the technical characteristics addressed.
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References
D. Das, “Maximum loading and cost of energy loss of radial distribution feeders,” International Journal of Electrical Power & Energy Systems, Vol. 26, No. 4, pp. 307-314, 2004.
K. N. Miu, and H. D. Chiang, “Electric distribution system load capability: problem formulation, solution algorithm, and numerical results,” IEEE Transactions on Power Delivery, Vol. 15, No. 1, pp. 436-442, 2000.
Pepermans, Guido, Johan Driesen, Dries Haeseldonckx, Ronnie Belmans, and William D’haeseleer, “Distributed generation: definition, benefits and issues,” Energy policy, Vol. 33, No. 6, pp. 787-798, 2005.
J.A.Pecas Lopes, N. Hatziargyriou, J. Mutale, P. Djapic, and N. Jenkins, “Integrating distributed generation into electric power systems: A review of drivers, challenges and opportunities,” Electric Power Systems Research, Vol. 77, pp. 1189-1203, 2007.
Azmy A.M., and Erlich I., “Impact of distributed generation on the stability of electrical power system,” IEEE Power Engineering Society General Meeting, 2005, pp. 1056-1063 Vol. 2, 12-16 June 2005.
T. Gönen, Electric Power Distribution Engineering "Application of capacitors to distribution systems”, CRC Press, Boca Raton, FL, 3rd Edition, 2014.
M. E. Baran, and F. F. Wu, “Optimal Capacitor Placement on radial distribution system,” IEEE Transactions on Power Delivery, Vol. 4, No.1, pp. 725-734, Jan. 1989.
N. I. Santoso, and O. T. Tan, “Neural network based real- time control of capacitors installed on distribution systems,” IEEE Transactions on Power Delivery, Vol. 5, No.1, pp. 266-272, 1990.
D. Das, “Optimal placement of capacitors in radial distribution system using Fuzzy-GA method,” International Journal Electrical Power Energy System, Vol. 30, pp. 361–367, 2008.
K. Prakash, and M. Sydulu, “Particle swarm optimization based capacitor placement on radial distribution systems,” Proceedings of IEEE power engineering society general meeting, pp. 1-5, Jun 24 2007.
S. Sultana, and P. K. Roy, “Optimal capacitor placement in radial distribution systems using teaching learning based optimization,” International Journal of Electrical Power & Energy Systems, Vol. 54, pp.387-398, 2014.
Y. M. Shuaib, M. S. Kalavathi, and C. C. A. Rajan, “Optimal capacitor placement in radial distribution system using gravitational search algorithm,” International Journal of Electrical Power & Energy Systems, Vol. 64, pp. 384-397, 2015.
R. S. Rao, S. V. L. Narasimham, and M. Ramalingaraju, “Optimal capacitor placement in a radial distribution system using plant growth simulation algorithm”, International Journal of Electrical Power & Energy Systems, Vol. 33, No. 5, pp.1133-1139, 2011.
Y. Abdelaziz, E. S. Ali, and S. M. Abd Elazim, “Flower pollination algorithm and loss sensitivity factors for optimal sizing and placement of capacitors in radial distribution systems,” International Journal of Electrical Power & Energy Systems, Vol. 78, pp. 207–214, 2016.
Y. Abdelaziz, E. S. Ali, and S. M. Abd Elazim, “Optimal sizing and locations of capacitors in radial distribution systems via flower pollination optimization algorithm and power loss index,” International Journal of Engineering Science and Technology, Vol. 19, pp. 610-618, 2016.
Y. Abdelaziz, E. S. Ali, and S. M. Abd Elazim, “Flower pollination algorithm for optimal capacitor placement and sizing in distribution systems,” Electric Power Components and Systems, Vol. 44, No. 5, pp. 544-555, 2016.
S. M. Abd Elazim, and E. S. Ali, “Optimal locations and sizing of capacitors in radial distribution systems using mine blast algorithm,” Electrical Engineering, Vol. 100, No. 1, pp. 1-9, 2018.
Ahmed A. Zaki Diab, and Hegazy Rezk, “Optimal sizing and placement of capacitors in radial distribution systems based on grey wolf, dragonfly and moth–flame optimization algorithms,” Iranian Journal of Science and Technology, Transactions of Electrical Engineering, vol. 43, no. 1, pp. 77-96, 2019.
R. Manjhi, D. K. Lal, and S. Biswal, “LSF and Golden Jackal Optimization Algorithm based Optimal Placement and Sizing of Capacitors in Distribution System,” In 2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC), pp. 1-6, 2022.
Acharya Naresh, Pukar Mahat, and Nadarajah Mithulananthan, “An analytical approach for DG allocation in primary distribution network,” International Journal of Electrical Power & Energy Systems, Vol. 28, No. 10, pp. 669-678, 2006.
D. Hung, and N. Mithulananthan, “Multiple distributed generators placement in primary distribution networks for loss reduction,” IEEE Transactions on Industrial Electronics, Vol. 60, No. 4, pp. 1700 – 1708, 2013.
M. M. Aman, G. B. Jasmon, H. Mokhlis, and A. H. A. Bakar, “Optimal placement and sizing of a DG based on a new power stability index and line losses,” International Journal of Electrical Power & Energy Systems, vol. 43, no. 1, pp. 1296-1304, 2012.
S. Kaur, G. Kumbhar, and J. Sharma, “A MINLP technique for optimal placement of multiple DG units in distribution systems,” International Journal of Electrical Power & Energy Systems, Vol. 63, pp. 609-617, 2014.
Deependra Singh, Devender Singh, and K. S. Verma, “GA based optimal sizing & placement of distributed generation for loss minimization,” International Journal of Electrical and Computer Engineering, Vol. 2, No. 8, pp. 556-562, 2007.
M. El-Zonkoly, “Optimal placement of multi-distributed generation units including different load models using particle swarm optimization,” IET Generation, Transmission & Distribution, Vol. 5, No. 7, pp. 760-771, 2011.
M. H. Moradi, and M. Abedini, “A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems”, International Journal of Electrical Power & Energy Systems, Vol. 34, No. 1, pp. 66-74, 2012.
Injeti Satish Kumar, and N. Prema Kumar, “A novel approach to identify optimal access point and capacity of multiple DGs in a small, medium and large scale radial distribution systems,” International Journal of Electrical Power & Energy Systems, Vol. 45, No. 1, pp. 142-151, 2013.
Mohamed Imran, and M. Kowsalya, “Optimal size and siting of multiple distributed generators in distribution system using bacterial foraging optimization,” Swarm Evolutionary Computing, vol. 15, pp. 58–65, 2014.
El-Fergany, “Optimal allocation of multi-type distributed generators using backtracking search optimization algorithm,” International Journal of Electrical Power & Energy Systems, Vol. 64, pp. 1197-1205, Jan. 2015.
D. Rama Prabha, T. Jayabarathi, R. Umamageswari, and S. Saranya, “Optimal location and sizing of distributed generation unit using intelligent water drop algorithm,” Sustain. Energy Technology and Assessments, Vol. 11, pp. 106–113, 2015.
S. A. Chithra Devi, L. Lakshminarasimman, and R. Balamurugan, “Stud Krill herd Algorithm for multiple DG placement and sizing in a radial distribution system,” Engineering Science and Technology, an International Journal, Vol. 20, No. 2, pp. 748-759, 2017.
de Oliveira, Victoria YM, Rodrigo MS de Oliveira, and Carolina M. Affonso, “Cuckoo Search approach enhanced with genetic replacement of abandoned nests applied to optimal allocation of distributed generation units,” IET Generation, Transmission & Distribution, Vol. 12, No. 13, pp. 3353-3362, 2018.
R. Sanjay, T. Jayabarathi, T. Raghunathan, V. Ramesh, and N. Mithulananthan, “Optimal allocation of distributed generation using hybrid grey wolf optimizer”, IEEE ACCESS, Vol. 5, pp.14807-14818, 2017.
M. Purlu, and B. E. Turkay, “Optimal Allocation of Renewable Distributed Generations using Heuristic Methods to Minimize Annual Energy Losses and Voltage Deviation Index,” IEEE Access, vol. 10, pp.21455-21474, 2022.
P. K. Mohanty, and D. K. Lal, “Voltage stability index and butterfly optimization algorithm-based DG placement and sizing in electrical power distribution system,” In Green Technology for Smart City and Society, pp. 311-326. Springer, Singapore, 2021.
P. Dinakara Prasad Reddy, V. C. Veera Reddy, and T. Gowri Manohar, “Optimal renewable resources placement in distribution networks by combined power loss index and whale optimization algorithms,” Journal of Electrical Systems and Information Technology, Vol. 5, No. 2, pp. 175-191, 2018.
R. Manjhi, D. K. Lal, and S. Biswal, “Optimal Allocation of DGs in Radial Distribution Network for Power Loss Minimization based on LSF and GJO Algorithm,” In 2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC), pp. 1-6, 2022.
S. Gopiya Naik, D. K. Khatod, and M. P. Sharma, “Optimal allocation of combined DG and capacitor for real power loss minimization in distribution networks,” International Journal of Electrical Power Energy Systems, Vol. 53, pp. 967–973, 2013.
Khodabakhshian Amin, and Mohammad Hadi Andishgar, “Simultaneous placementand sizing of DGs and shunt capacitors in distribution systems by using IMDE algorithm,” International Journal of Electrical Power Energy Systems, Vol. 82, pp. 599–607, 2016.
Biswas, Partha P., Rammohan Mallipeddi, Ponnuthurai N. Suganthan, and Gehan AJ Amaratunga. “A multiobjective approach for optimal placement and sizing of distributed generators and capacitors in distribution network,” Applied Soft Computing, Vol. 60, pp. 268-280, 2017.
K. S. Sambaiah, and T. Jayabarathi, “Optimal allocation of renewable distributed generation and capacitor banks in distribution systems using Salp Swarm algorithm,” International Journal of Renewable Energy Research, Vol. 9, pp. 96-107, Mar. 2019.
Rajendran, and K. Narayanan, “Optimal multiple installation of DG and capacitor for energy loss reduction and loadability enhancement in the radial distribution network using the hybrid WIPSO_GSA algorithm,” International Journal of Ambient Energy, Vol. 41, No. 2, pp. 129-141, Jan. 2020.
Almabsout, Emad Ali, Ragab A. El-Sehiemy, Osman Nuri Uc An, and Oguz Bayat, “A hybrid local search-genetic algorithm for simultaneous placement of DG units and shunt capacitors in radial distribution systems,” IEEE Access, Vol. 8, pp. 54465-54481, 2020.
Belkacem Mahdad, “Optimal integration and coordination of distributed generation and shunt compensators using improved African vultures optimizer,” Engineering Optimization, pp. 1-38, 2023.
M. Ahmadi, O. B. Adewuyi, Mir S. S. Danish, and P. Mandal, “Optimum coordination of centralized and distributed renewable power generation incorporating battery storage system into the electric distribution network,” International Journal of Electrical Power & Energy Systems, Vol. 125, 106458, 2021.
J. H. Teng, “A direct approach for distribution system load flow solutions,” IEEE Transactions on Power Delivery, Vol. 18, No. 3, pp. 882-887, 2003.
N. Chopra, and M. M. Ansari, “Golden jackal optimization: A novel nature-inspired optimizer for engineering applications,” Expert Systems with Applications, Vol. 198, 116924, 2022.
M. A. Kashem, V. Ganapathy, G. B. Jasmon, and M. I. Buhari, “A novel method for loss minimization in distribution networks,” In DRPT 2000 Proceedings (Cat. No. 00EX382) IEEE International conference on electric utility deregulation and restructuring and power technologies, pp. 251-256, Apr 4, 2000.