LOAD VARIATIONS BASED OPTIMAL REACTIVE POWER SUPPORT FOR HIGH ECONOMIC GAIN IN DISTRIBUTION ELECTRIC POWER NETWORK
DOI:
https://doi.org/10.11113/aej.v15.22504Keywords:
Distribution Economic Gain, Electric Power Network, Shunt Capacitor Banks., Sea-Horse Optimizer Algorithm, Power losses reduction, Economic Gain, Distribution Electric Power Network, Power losses reduction, Sea-Horse Optimizer Algorithm, Sitting and Sizing of Shunt Capacitor Banks, Reactive Power SupportAbstract
Problems such as high impedance, below normal bus voltages, and Load density of the Distribution Electric Power Network (DEPN) lead to a rise in power losses (real and reactive power losses) with large deviations in node voltage profile. For DEPN planning and operation studies, the power and voltage deviation have been significantly apprehensive. For the past five decades, several researchers have been focusing on DEPN to reduce Power losses to the minimum level. Sitting and sizing of Shunt Capacitor Banks (SSSCB) optimally in the DEPN is of greatest importance in reducing the power losses, power factor improvement, and voltage profile upgradation thereby more Economic Gain (EG). The target of this study is to enhance the performance of the DEPN using Reactive Power Support (RPS) under three different load levels to minimize the capacitor investment cost and maximize the difference in kWh and kVARh using the Sea-Horse Optimizer Algorithm (SHOA). The proposed algorithm has been witnessed with the help of two general test systems (PG&E 69 bus and Indian 118 bus) and one real DEPN (28 bus system, PEA, Thailand). The overall % power loss reduction ranging between 29% and 37% has been observed across the three load variations for all the three test systems. Simulation results reveal that significant improvements in technical and EG are fulfilled which confirms the prospective of the proposed RPS procedure.
References
Abdelaziz, A., Mohamed, F., Mekhamer, S., & Badr, M. 2010. Distribution system reconfiguration using a modified Tabu Search algorithm. Electrical Power System Research. 80: 943–953.
Abdelaziz, A., Ali, E., & Elazim, S. A. 2016. Optimal sizing and locations of capacitors in radial distribution systems via flower pollination optimization algorithm and power loss index. Engineering Science and Technology an International Journal, 19: 610–618.
Teimourzadeh, H., Mohammadi-Ivatloo, B., & Farzamnia, A. 2019. Wild Goats Optimization Approach for Capacitor Placement Problem. The International Journal of Integrated Engineering. 11(4): 31–39.
Montoya, O. D., Gil-González, W., & Garcés, A. 2022. On the Conic Convex Approximation to Locate and Size Fixed-Step Capacitor Banks in Distribution Networks. Computation, 10: 32.
Gil-González, W., Montoya, O. D., Rajagopalan, A., Grisales-Noreña, L. F., & Hernández, J. C. 2020. Optimal Selection and Location of Fixed-Step Capacitor Banks in Distribution Networks Using a Discrete Version of the Vortex Search Algorithm. Energies. 13: 4914.
Riaño, F. E., Cruz, J. F., Montoya, O. D., Chamorro, H. R., & Alvarado-Barrios, L. 2021. Reduction of Losses and Operating Costs in Distribution Networks Using a Genetic Algorithm and Mathematical Optimization. Electronics, 10: 419.
Kien, L. C., Nguyen, T. T., Pham, T. D., & Nguyen, T. T. 2021. Cost reduction for energy loss and capacitor investment in radial distribution networks applying novel algorithms. Neural Computing and Applications. 33(22): 15495 -15522. DOI: 10.1007/s00521-021-06172-7.
Nguyen, P. T., Anh, T. N., Ngoc, D. V., & Thanh, T. L. 2020. A Cost-Benefit Analysis of Capacitor Allocation Problem in Radial Distribution Networks Using an Improved Stochastic Fractal Search Algorithm. Complexity, 2020: 1-32., Article ID 8811674.
Biswal, S. R., & Shankar, G. 2021. A Novel Quasi-opposition Based Sine Cosine Algorithm for Optimal Allocation and Sizing of Capacitor in Radial Distribution Systems. Research Square. DOI: https://doi.org/10.21203/rs.3.rs-1070297/v1
Danish, S. M. S., Ahmadi, M., Yona, A., Senjyu, T., Krishna, N., & Takahashi, H. 2020. Multi-objective optimization of optimal capacitor allocation in radial distribution systems. International Journal of Emerging Electrical Power Systems, 21(3): 1-11. article 20190206.
Abdelsalam, A. A. A., & Gabbar, H. A. 2019. Shunt Capacitors Optimal Placement in Distribution Networks Using Artificial Electric Field Algorithm. 7th International Conference on Smart Energy Grid Engineering.
Mahfoud, R. J., Alkayem, N. F., Sun, Y., HaesAlhelou, H., Siano, P., & Parente, M. 2020. Improved Hybridization of Evolutionary Algorithms with a Sensitivity-Based Decision-Making Technique for the Optimal Planning of Shunt Capacitors in Radial Distribution Systems. Applied Sciences, 10: 1384.
Muhtazaruddin, M. N., Jamian, J. J., Nguyen, D., Jalalludin, N. A., & Fujita, G. 2014. Optimal capacitor placement and sizing via artificial bee colony. International Journal of Smart Grid and Clean Energy, 3(2): 200-206.
Haldar, V., & Chakraborty, N. 2015. Power loss minimization by optimal capacitor placement in radial distribution system using modified cultural algorithm. International Transactions on Electrical Energy — Systems, 25(1): 54-71.
Srinivasan, G., Amaresh, K., & Cheepati, K. R. 2022. Economic based evaluation of DGs in capacitor allocated optimal distribution network. Bulletin of the Polish Academy of Sciences: Technical Sciences, 70(1): 1-10.
S. Sultana & P. K. Roy, 2014."Multi-objective quasi-oppositional teaching learning based optimization for optimal location of distributed generator in radial distribution systems," Electrical Power and Energy System, 63: 534–545.
R. K. Viral & D. K. Khatod, 2012. "Optimal planning of Distributed Generation systems in distribution system: A review," Renewable and Sustainable Energy Reviews, 16: 5146–5165.
S. M. Abd-Elazim & E. S. Ali, "A hybrid Particle Swarm Optimization and Bacterial Foraging for optimal Power System Stabilizers design," Electrical Power and Energy Systems, 46: 334–341, 2013.
D. Prakash & C. Lakshminarayana, 2017. "Optimal siting of capacitors in radial distribution network using whale optimization algorithm," Alexandria Engineering Journal, 56(4): 499–509.
Ola Badran, Hazlie Mokhlis, Saad Mekhilef and Wardiah Dahalan, 2018. Multi-Objective Network Reconfiguration with Optimal DG Output Using Meta-Heuristic Search Algorithms, Arabian Journal of Science and Engineering, 43: 2673–2686, DOI: 10.1007/s13369-017-2714-9
Jafar Jallad, Saad Mekhilef, Hazlie Mokhlis , Javed Laghari and Ola Badran, 2018. Application of Hybrid Meta-Heuristic Techniques for Optimal Load Shedding Planning and Operation in an Islanded Distribution Network Integrated with Distributed Generation, Energies. 11: 1134. DOI:10.3390/en11051134.
Farah Ramadhani, Mohammad Azlan Hussain, Hazlie Mokhlis, and Hazlee Azil Illias, 2021. Two-stage fuzzy-logic-based for optimal energy management strategy for SOFC/PV/TEG hybrid polygeneration system with electric charging and hydrogen fueling stations, Journal of Renewable Sustainable Energy, 13: 024301. DOI: https://doi.org/10.1063/5.0010832
S. Zhao, T. Zhang, S. Ma, & M. Wang, 2023. "Sea-horse optimizer: a novel nature-inspired meta-heuristic for global optimization problems," Applied Intelligence. 53: 11833–11860,
T. Ramana, V. Ganesh, & S. Siranagaraju, 2003. "Simple and Fast Load Flow Solution for Electrical Power Systems," International Journal of Electrical Engineering and Informatics, 5(5): 245-253.
V. Kumar, S. Swapnil, R. Ranjan, & V. R. Singu, 2017. "Improved Algorithm for Load Flow Analysis of Radial Distribution System," Indian Journal of Science and Technology, 10(18): 1-7.
B. Venkatesh & R. Ranjan, 2003. "Data structure for radial distribution load flow analysis," IEEE Proceedings on Generation. Transmission and Distribution. 150(1): 101-106.
H. Karimi & R. Dashti, 2016. "Comprehensive framework for capacitor placement in distribution networks from the perspective of distribution system management in a restructured environment," Electrical Power and Energy Systems, 82: 1–18,
I. Pérez Abril, 2017. "Algorithm of inclusion and interchange of variables for capacitors placement," Electric Power System Research 148: 117-126, [Online]. DOI: https://doi.org/10.1002/2050-7038.12377
N. Rugthaicharoencheep & S. Sirisumrannukul, 2008."Benefit Assessment of Loss Reduction from Distributed Generation in Distribution Networks by Tabu Search," Conference of The electric Power Supply Industry (CEPSI), 669].
