Energy Saving Analysis on Distribution Network with Incorporation of D-STATCOM Using Firefly Algorithm and Power Loss Index
DOI:
https://doi.org/10.26555/jiteki.v10i2.28862Keywords:
Energy Saving, Payback Time, D-STATCOM, Active Power, Voltage ProfileAbstract
This present work investigated the effects of reactive power compensation with the use of a Distribution Static Synchronous Compensator (D-STATCOM) on a practical distribution network. In the approach proposed, the network steady-state parameters were obtained with a backward forward sweep power flow technique, the possible sites for D-STATCOM were predetermined with power loss index while the firefly algorithm was employed for determining the optimal sizes and sites respectively. Three different levels of D-STATCOM penetrations were investigated and their effects on voltage profile enhancement, active power loss reduction, cost of energy savings, payback times, and cost of procurement were assessed. The best optimal sites and sizes obtained after several simulations for case I, case II, and case III are (6, 1000kVar); (12, 349.69kVar; 22, 867.29kVar) and (5, 1200kVar; 14, 424.34kVar; 21, 350kVar) respectively. Also, the percentage improvements at the bus with minimum voltage magnitude for cases I to III are 0.6, 0.78, and 0.79% while the accompanied active power loss reductions are 59.03, 70.57 and 91.78 %. From the economic perspective, the cost of procurement ($), annual energy savings ($), and the payback time (years) for the three cases examined are (5,303.5, 1,461.00, 3.63); (6,454.25, 1,746.66, 3.69); (10,471, 2, 271.58, 4.61) respectively. Also, results validation showed that the approach proposed outsmarts particle swarm optimization and network feeder reconfiguration. The outcome of this work findings application in performance enhancement of real-life distribution networks.References
O.O. Ade-Ikuesan, I.K. Okakwu, M.O. Osifeko and O.E. Olabode, “Investigation of Electric Power Losses on Primary Distribution Feeder: A Case Study Of Sango-Ota Distribution Company, Ogun State, Nigeria,” International Journal of Applied Engineering Research, vol.13, pp. 5000-5003, 2018
O.E. Olabode, I.K. Okakwu, A.S. Alayande and T.O. Ajewole, “A Two-Stage Approach to Shunt Capacitor-Based Optimal Reactive Power Compensation using Loss Sensitivity Factor and Cuckoo Search Algorithm,” Energy Storage, vol.122, pp.1-16, 2019, https://doi.org/10.1002/est2.122
O.E. Olabode, T.O. Ajewole, I.K. Okakwu and O.O. Ade-Ikuesan, “Optimal Sitting and Sizing of Shunt Capacitor for Real Power Loss Reduction on Radial Distribution System using Firefly Algorithm: A Case Study of Nigerian System,”. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, pp.1-14, 2019, https://doi.org/10.1080/15567036.2019.1673507
B. Sultana, M.W. Mustafa, U.Sultana and A. Bhatti, “Review on Reliability Improvement and Power Loss Reduction in Distribution System Via Network Reconfiguration,” Renewable Sustainable Energy Reviews, 66:297-310, 2016, https://doi.org/10.1016/j.rser.2016.08.011
G.A.Ajenikoko, and O.E. Olabode, “Development of a B-Loss Coefficient Model for Analysis of Non-Technical Losses on Nigerian Transmission Network,” International Journal of Renewable Energy Technology Research, vol.6, pp.1-5, 2017, https://doi.org/10.3390/su12187806
T.T. Nguyen, B.H. Dinh, T.D. Pham and T.T. “Active Power Loss Reduction for Radial Distribution Systems by Placing Capacitors and PV Systems with Geography Location Constraints,” Sustainability,12:7806-7836, 2020, https://doi.org/10.3390/su12187806
ExxonMobil (2016) The Outlook for Energy: A View to 2040. [Assessed on Sunday, January 16, 2024].
M. Dashtdar and M.Dashtdar, “Fault Location in Radial Distribution Network Based on Fault Current Profile and the Artificial Neural Network,” The Scientific Bulletin of Electrical Engineering Faculty, vol.20, pp.14-21, 2020, DOI: 10.2478/sbeef-2020-0103
C. Decker, “Energy Transportation: Electricity,” Handbook of Energy Economics and Policy, pp.193-238, 2021,
J.Paoli, B. Brinkmann and M. Negnevitsky, “A practical Approach to Optimizing Distribution Transformer Tap Settings,” Energies,vol.13, pp.4889-4891, 2020, https://doi.org/10.3390/en13184889
M.Vishnu and K.T.K. Sunil, “An Improved Solution for Reactive Power Dispatch Problem using Diversity-Enhanced Particle Swarm Optimization,” Energies, vol.13, pp.1-23, 2020, https://doi.org/10.3390/en13112862
S. Chanda, F. Shariatzadeh, A. Srivastava, E. Lee, W. Stone and J. Ham, “Implementation of Non-Intrusive Energy Saving Estimation for Volt/Var Control of Smart Distribution System,” Elec. Power Syst. Res. vol.120, pp.39-46, 2015 https://doi.org/10.1016/j.epsr.2014.09.023
A.Á. Téllez, G. López, I. Isaac, and J.W. González, “Optimal Reactive Power Compensation in Electrical Distribution Systems with Distributed Resources: Review,” Heliyon, 4(8), pp.1-9, 2018, https://doi.org/10.1016/j.heliyon.2018.e00746
M.N.B. Muhtazaruddin, N.A. Bani, S.A.M. Aris, S.Z.A. Jalil, H.M. Kaidi HM, A.Y. Abd Fatah, J.J. Jamian, Muhammad-F. Sukki, and S.H. Abu-Bakar, “Distribution Power Loss Minimization Via Distributed Generation, Capacitor and Network Reconfiguration,” Indonesian Journal of Electrical Engineering and Computer Science, vol. 5, pp. 488-495, 2017, http://doi.org/10.11591/ijeecs.v5.i3.pp488-495
G.A. Ajenikoko, O.E. Olabode, and O.W Olayanju, “Distributed Generation (DG) Integration on Utilities Distribution System: A Survey. International Journal of Advanced Engineering and Technology, 1(4):1-10, 2017,
M.G. Simões, F.A. Farret, H. Khajeh, M. Shahparasti, and H. Laaksonen, “Future Renewable Energy Communities Based Flexible Power Systems,” Applied Science, vol.12 pp.121-125, 2021, https://doi.org/10.3390/app12010121
S.D. Saldarriaga-Zuluaga, J.M. López-Lezama, and N. Muñoz-Galeano, “Optimal Coordination Of Over-Current Relays in Microgrids Considering Multiple Characteristic Curves,” Alexandria Engineering Journal, vol.60, pp. 2093-2113, 2021, https://doi.org/10.1016/j.aej.2020.12.012
A.N. Hussain , A.J. Ali, and F.S. Ahmed, “Comparison and Evaluation Between two Hybrid Systems using Renewable Sources and D-STATCOM,” 6th International Engineering Conference Sustainable Technology and Development, pp.73-79, 2020, https://doi.org/10.1109/IEC49899.2020.9122934
S. Sinha, R. Roshan, M.A. Alam, and S. Banerjee, “Optimal Placement of D-STATCOM for Reduction of Power Loss and Improvement of Voltage Profile using Power Stability and Power Loss Indices in a Radial Distribution System,” 5th International Conference for Convergence in Technology (I2CT) Pune, India. Mar 29-31, 2019, https://doi.org/10.1109/I2CT45611.2019.9033658
S. Shobana, K.T. Selvi, P. Abirami, M.Pushpavalli and P. Sivagami. Implementation of Voltage Stability System in Distribution Network by using D-STATCOM. International Journal of Recent Technology and Engineering, vol.8, pp. 3374- 3379, 2019, https://doi.org/10.35940/ijrte.B1567.0982S1119
S. Rezaeian-Marjani, S. Masoumzadehasl, S. Galvani, and V. Talavat, “Probabilistic Assessment of D-STATCOM Operation Considering Correlated Uncertain Variables,” International Transactions on Electrical Energy Systems, e12522, pp. 1-23, 2020, https://doi.org/10.1002/2050-7038.12522
. Z. Muslimin, A. Suyuti, E. Palantei, I. Indrabayu, and I.C. Gunadin, “Reactive Power Injection at the North Makassar Distribution System with D-STATCOM,” IOP Conference Series: Materials Science and Engineering, 850, pp.1-9, 2020, https://doi.org/10.1088/1757-899X/850/1/012009
. A.K. Arya, A. Kumar, and S. Chanana, “Assessment of Deployment of DGs and D-STATCOMs in Distribution Network using Gravitational Search Algorithm,” International Journal of Recent Technology and Engineering, 8(5), pp.119-127, 2020, https://doi.org/10.35940/ijrte.D9009.018520
K.S. Sambaiah and T. Jayabarathi, “Optimal Reconfiguration of Distribution Network in Presence of D- STATCOM and Photovoltaic Array using A Metaheuristic Algorithm,” European Journal of Electrical Engineering and Computer Science, vol. 4, pp. 1-15,2020, https://doi.org/10.24018/ejece.2020.4.5.244
A. Safari, M. Karimi, P.H. Najmi, and M. Farrokhifar, “Multi-objective Model For Simultaneous Distribution Networks Reconfiguration and Allocation of D-STATCOM under Uncertainties of RES,”. International Journal of Ambient Energy, pp. 1-28, 2020, https://doi.org/10.1080/01430750.2020.1751282
O.E.Olabode, T.O. Ajewole, I.K. Okakwu, and O.O. Obanisola, “A Review of Cuckoo Search Algorithm Based on Optimal Siting and Sizing of Shunt Capacitor in a Radial Distribution System,” UNIOSUN Journal of Engineering and Environmental Science, vol. 1, pp. 48-57, 2019, DOI: 10.36108/ujees/9102.10.0260
S.Ouali and A. Cherkaoui, “An Improved Backward/Forward Sweep Power Flow Method Based on a New Network Information Organization for Radial Distribution Systems,” Journal of Electrical & Computer Engineering, vol.10, pp. 1-11, 2020, https://doi.org/10.1155/2020/5643410
S. Petridis, O. Blanas, D. Rakopoulos, F. Stergiopoulos, N. Nikolopoulos, and S. Voutetakis, “An Efficient Backward/Forward Sweep Algorithm for Power Flow Analysis through a Novel Tree-Like Structure for Unbalanced Distribution Networks,” Energies, 14:897-917, 2021, https://doi.org/10.3390/en14040897
S. Kawambwa, R. Mwifunyi, D. Mnyanghwalo, N. Hamisi, E. Kalinga, and N. Mvungi, “An Improved Backward/Forward Sweep Power Flow Method Based on Network Tree Depth for Radial Distribution Systems,” Journal of Electrical Systems and Information Technology, vol. 8, pp. 7-18, 2021, https://doi.org/10.1186/s43067-021-00031-0
P. Balamurugan, T. Yuvaraj, and P. Muthukannan, (2018) “Simultaneous Allocation Renewable DGS and Capacitor for Typical Indian Rural Distribution Network Using Cuckoo Search Algorithm,” International Journal of Engineering & Technology, vol. 7, pp.1011 -1016, 2018
X.S. Yang, “Multi-objective Firefly Algorithm for Continuous Optimization,” Engineering with Computer, vol.29, pp.1-10, 2013, https://doi.org/10.1007/s00366-012-0254-1
G.A. Ajenikoko, O.E. Olabode, and A.E. Lawal, “Application of Firefly Optimization Technique for Solving Convex Economic Load Dispatch of Generation on Nigerian 330 kV, 24-Bus Grid System,” European Journal of Engineering Research and Science, vol. 3, pp.77-81, 2018, 10.24018/ejeng.2018.3.5.746
G.A. Ajenikoko, O.E. Olabode and G. Ojo, “A Comparative Analysis of Performance Evaluation of SVC and TCSC for Transmission Loss Reduction on Nigerian 330 kV Grid System using Self- Adaptive Firefly Algorithm,” International Journal of Smart Grid, vol. 1, pp. 26-33, 2017, https://doi.org/10.20508/ijsmartgrid.v1i1.3.g3
O.A. Oluwole, “Pattern of Residential Mobility in Kaduna Metropolis, Nigeria,” Pakistan Geographical Review, vol.69, pp. 46-61, 2014
J. Alberah, G.A.Olarinoye, and Y. Jibril, “11kV Pama Distribution Feeder Reconfiguration for Power Loss Minimization and Reliability Improvement,” ATBU, Journal of Science, Technology & Education, vol.7, pp.16- 25, 2019
E.S. Oda, A.M. Elhamed, A. Ali, A.A. Elbaset, M.A. El-sattar and M. Ebeed, “Stochastic Optimal Planning of Distribution System Considering Integrated Photovoltaic-Based DG And DSTATCOM under Uncertainties of Loads and Solar Irradiance,” IEEE Access, vol. 9, pp.26541- 26555, 2021, https://doi.org/10.1109/ACCESS.2021.3058589
J. Sanam, S. Ganguly, A.K. Panda, and C. Hemanth, “Optimization of Energy Loss Cost of Distribution Networks with the Optimal Placement and Sizing of D-STATCOM using Differential Evolution Algorithm,” Arabian Journal for Science and Engineering, vol.42, pp. 2851–2865, 2017, https://doi.org/10.1007/s13369-017-2518-y
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