An Optimization Approach for Significant Positioning and Sizing of Solar-based Distributed Generation
Abstract
Keywords
Full Text:
PDFReferences
S.N. Saxena, “Smart Distribution Grid and How to Reach the Goal”, International Journal of Smart Grid-ijSmartGrid, Vol. 3, No. 4, pp.188-200, 2019.
V.J. Foba, A.T. Boum, and C.F. Mbey, “Optimal Reliability of a Smart Grid”, International Journal of Smart Grid-ijSmartGrid, Vol. 5, No. 2, pp.74-82, 2021.
D. Motyka, M. Kajanova, and P. Bracinik, “The Impact of Embedded Generation on Distribution Grid Operation”, In 7th International Conference on Renewable Energy Research and Applications (ICRERA), pp. 360-364, IEEE, October, 2018,.
Y. Iwasaki, K. Yukita, T. Hosoe, and K. Ikeda, “Basic study for the construction of a microgrid using small wind turbines as the main power source”, In 2021 9th International Conference on Smart Grid (icSmartGrid) (pp. 1-1). IEEE, June, 2021.
M. Colak, I. Cetinbas, and M. Demirtas, “Fuzzy Logic and Artificial Neural Network Based Grid-Interactive Systems for Renewable Energy Sources: A Review”, in 2021 9th International Conference on Smart Grid (icSmartGrid), pp. 186-191, IEEE, June, 2021.
T. Gözel, and M.H. Hocaoglu, “An analytical method for the sizing and siting of distributed generators in radial systems”, Electric power systems research, Vol. 79, No. 6, pp.912-918, 2009.
A.L. Devi, and A. Chaithanya, “A new analytical method for the sizing and siting of DG in radial system to minimize real power losses”, International Journal of Computational Engineering Research, Vol.2, No. 7, pp.31-37, 2012.
R.S. Rao, S.V.L. Narasimham, and M. Ramalingaraju, “Optimization of distribution network configuration for loss reduction using artificial bee colony algorithm”, International Journal of Electrical Power and Energy Systems Engineering, Vol.1, No. 2, pp.116-122, 2008.
Z. Moravej, and A. Akhlaghi, “A novel approach based on cuckoo search for DG allocation in distribution network”, International Journal of Electrical Power & Energy Systems, Vol.44, No.1, pp.672-679, 2013.
W.S. Tan, M.Y. Hassan, M.S. Majid, and H.A. Rahman, “Allocation and sizing of DG using cuckoo search algorithm”, In IEEE international conference on power and energy (PECon). pp. 133-138, IEEE, December 2012.
A.T. Eseye, M. Lehtonen, T. Tukia, S. Uimonen, and R.J. Millar, “Adaptive predictor subset selection strategy for enhanced forecasting of distributed PV power generation”, IEEE Access, Vol.7, pp.90652-90665, 2019.
S.S. Alam, A.R. Florita, and B.M. Hodge, “Distributed PV generation estimation using multi?rate and event?driven Kalman kriging filter”, IET Smart Grid, Vol. 3, No.4, pp.538-546, 2020.
H.M. Farh, A.M. Al-Shaalan, A.M. Eltamaly, and A.A. Al-Shamma, “A novel crow search algorithm auto-drive PSO for optimal allocation and sizing of renewable distributed generation”, IEEE Access, Vol. 8, pp.27807-27820, 2020.
A. Fleischhacker, H. Auer, G. Lettner, and A. Botterud, “Sharing solar PV and energy storage in apartment buildings: resource allocation and pricing”, IEEE Transactions on Smart Grid, Vol. 10, No.4, pp.3963-3973, 2018.
J. Ospina, N. Gupta, A. Newaz, M. Harper, M.O. Faruque, E.G. Collins, R. Meeker, and G. Lofman, “Sampling-based model predictive control of PV-integrated energy storage system considering power generation forecast and real-time price”, IEEE Power and Energy Technology Systems Journal, Vol.6, No.4, pp.195-207, 2019.
A. Ivanova, D. Chassin, J. Aguado, C. Crawford, and N. Djilali, “Techno-economic feasibility of a photovoltaic-equipped plug-in electric vehicle public parking lot with coordinated charging”, IET Energy Systems Integration, Vol. 2, No.3, pp.261-272,2020.
X. Xiong, W. Wu, N. Li, , L. Yang, J. Zhang, and Z. Wei, “Risk-based multi-objective optimization of distributed generation based on GPSO-BFA algorithm”, IEEE Access, Vol.7, pp.30563-30572, 2019.
H.A.U. Muqeet, and A. Ahmad, “Optimal scheduling for campus prosumer microgrid considering price based demand response”, IEEE Access, Vol.8, pp.71378-71394, 2020.
M.P. Mahmud, N. Huda, S.H. Farjana, and C. Lang, “Techno-economic operation and environmental life-cycle assessment of a solar PV-driven islanded microgrid”, IEEE Access, Vol.7, pp.111828-111839, 2019.
S. Singh, S. Kewat, B. Singh, B.K. Panigrahi, and M.K. Kushwaha, “Seamless control of solar PV grid interfaced system with islanding operation”, IEEE Power and Energy Technology Systems Journal, Vol. 6, No.3, pp.162-171, 2019.
A.Jayawardana, A.P. Agalgaonkar, D.A. Robinson, and M. Fiorentini, “Optimisation framework for the operation of battery storage within solar-rich microgrids”, IET Smart Grid, Vol.2, No.4, pp.504-513,2019
X. Huang, J. Shi, B. Gao, Y. Tai, Z. Chen, and J. Zhang, “Forecasting hourly solar irradiance using hybrid wavelet transformation and Elman model in smart grid”, IEEE Access, Vol.7, pp.139909-139923, 2019.
W. Hao, B. Liu, S. Yao, W. Guo, and W. Huang, “Reactive power optimisation of distribution network with distributed generation based on genetic and immune algorithm”, The Journal of Engineering, Vol. 2019, No.16, pp.1280-1284, 2019.
A. Sundararajan, T.O. Olowu, L. Wei, S. Rahmanand A.I. Sarwat, “Case study on the effects of partial solar eclipse on distributed PV systems and management areas”, IET Smart Grid, Vol.2, No.3, pp.477-490, 2019.
Q. Ha, and M.D. Phung, “IoT?enabled dependable control for solar energy harvesting in smart buildings”, IET Smart Cities, Vol.1, No.2, pp.61-70, 2019.
V. Rashtchi M. Darabian, S. Molaei, “A robust technique for optimal placement of distribution generation”, In Proceedings of the International Conference on Advances in Computer and Electrical Engineering, Manila, Philippines, November 2012.
K. Nekooei, M.M. Farsangi, H. Nezamabadi-Pour, and K.Y. Lee, “An improved multi-objective harmony search for optimal placement of DGs in distribution systems”, IEEE Transactions on smart grid, Vol.4, No.1, pp.557-567, 2013.
Y.M. Atwa, E.F. El-Saadany, M.M.A. Salama, and R. Seethapathy, “Optimal renewable resources mix for distribution system energy loss minimization”, IEEE Transactions on Power Systems, Vol.25, No.1, pp.360-370, 2009.
R. Eberhart, and J. Kennedy, “A new optimizer using particle swarm theory”, In MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science, pp. 39-43, IEEE, October 1996.
S. Kansal, B.B.R. Sai, B. Tyagi, and V. Kumar, “Optimal placement of distributed generation in distribution networks”, International journal of engineering, science and technology, Vol.3, No. 3, pp. 47-55, 2011.
M. E. Baran and F. F. Wu, “Network Reconfiguration in Distribution Systems for Loss Reduction and Load Balancing”, IEEE Trans. on Power Delivery, Vo1.4, No.2, pp.1401-1407, April 1989.
K.M. Muttaqi, V. Ganapathy, G.B. Jasmon, and M. Buhari, “A novel method for loss minimization in distribution networks”, In international Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), pp.251-256, IEEE, 2000.
M. Chakravorty and D. Das, "Voltage stability analysis of radial distribution networks", International Journal of Electrical Power and Energy Systems, Vol. 23, pp. 129-135, 2001.
University of Washington, Power Systems Test Case Archive. Available online: https://www.ee.washington. edu/research/pstca/ (accessed on 10 August 2019).
K. Dharageshwari, and C. Nayanatara, “Multiobjective optimal placement of multiple distributed generations in IEEE 33 bus radial system using simulated annealing”, In International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015], pp. 1-7, IEEE, March, 2015.
V. Vita, “Development of a decision-making algorithm for the optimum size and placement of distributed generation units in distribution networks”, Energies, Vol.10, No.9, p.1433, 2017.
M.Q. Duong, T.D. Pham, T.T. Nguyen, A.T. Doan, and H.V. Tran, “Determination of optimal location and sizing of solar photovoltaic distribution generation units in radial distribution systems”, Energies, Vol. 12, No. 1, p.174, 2019.
DOI (PDF): https://doi.org/10.20508/ijrer.v11i4.12470.g8317
Refbacks
- There are currently no refbacks.
Online ISSN: 1309-0127
Publisher: Gazi University
IJRER is cited in SCOPUS, EBSCO, WEB of SCIENCE (Clarivate Analytics);
IJRER has been cited in Emerging Sources Citation Index from 2016 in web of science.
WEB of SCIENCE in 2025;
h=35,
Average citation per item=6.59
Last three Years Impact Factor=(1947+1753+1586)/(146+201+78)=5286/425=12.43
Category Quartile:Q4