Optimal Allocation of DG Renewable Energy Sources Using Multi-Verse Optimizer Algorithm
Abstract
In the current situation, minimizing power loss in the distribution and transmission network is one of the research challenges. The distribution system has more losses than the transmission system. High power losses occur when loads connected to the distribution network are removed from the distribution substation. The optimal allocation for Distributed Generation (DG) renewable energy sources is one way to minimize distribution power loss and improve the distribution voltage profile. Inaccurate placement causes increased power losses, lowers the voltage profile and can adversely affect system performance. The Multi Verse Optimization (MVO) method is used to place DG renewable energy sources in the right location. In this work the MVO algorithm is implemented to optimize the location and type of DG for renewable energy sources. The implementation of the MVO algorithm was tested on the IEEE 33 bus radial distribution system. The results obtained indicate that the use of the MVO algorithm method for the optimal allocation of renewable DG is able to minimize power losses and increase the voltage profile.
References
N. Pragallapati dan V. Agarwal, “Distributed PV Power Extraction Based on a Modified Interleaved SEPIC for Nonuniform Irradiation Conditions,” IEEE J. Photovolt., Vol. 5, No. 5, hal. 1442–1453, Sep. 2015.
N. Hayashi, A. Matsushita, D. Inoue, M. Matsumoto, T. Nagata, H. Higuchi, Y. Aya, dan T. Nakagawa, “Nonuniformity Sunlight-Irradiation Effect on Photovoltaic Performance of Concentrating Photovoltaic Using Microsolar Cells Without Secondary Optics,” IEEE J. Photovolt., Vol. 6, No. 1, hal. 350–357, Jan. 2016.
S. Kolesnik, M. Sitbon, S. Lineykin, E. Batzelis, S. Papathanassiou, T. Suntio, dan A. Kuperman, “Solar Irradiation Independent Expression for Photovoltaic Generator Maximum Power Line,” IEEE J. Photovolt., Vol. 7, No. 5, hal. 1416–1420, Sep. 2017.
I. Kim dan R.G. Harley, “The Transient Behavior of the Volt/Var Control of Photovoltaic Systems for Solar Irradiation Variations,” 2016 IEEE Electr. Power Energy Conf. (EPEC), 2016, hal. 1–5.
M. Fan, “A Novel Optimal Generation Dispatch Algorithm to Reduce the Uncertainty Impact of Renewable Energy,” 2016 IEEE Power Energy Soc. Gen. Meet. (PESGM), 2016, hal. 1–5.
J. Hussain dan M.K. Mishra, “An Efficient Wind Speed Computation Method Using Sliding Mode Observers in Wind Energy Conversion System Control Applications,” IEEE Trans. Ind. Appl., Vol. 56, No. 1, hal. 730–739, Jan. 2020.
J. Kazda, M. Mirzaei, dan N.A. Cutululis, “On the Architecture of Wind Turbine Control Required for Induction-based Optimal Wind Farm Control,” 2018 Ann. Am. Control Conf. (ACC), 2018, hal. 3074–3079.
J. Hussain dan M.K. Mishra, “Sliding Mode Observers Based Wind Speed Computation Method in Wind Energy Conversion Systems Control Applications,” 2018 IEEE Int. Conf. Power Electron., Drives Energy Syst. (PEDES), 2018, hal. 1–6.
A. Ramadan, M. Ebeed, S. Kamel, dan L. Nasrat, “Optimal Allocation of Renewable Energy Resources Considering Uncertainty in Load Demand and Generation,” 2019 IEEE Conf. Power Electron. Renew. Energy (CPERE), 2019, hal. 124–128.
S. Kandil dan H.E. Farag, “Impacts of Binding Constraints on the Planning Process of Renewable DG in Distribution Systems,” 2015 IEEE Electr. Power Energy Conf. (EPEC), 2015, hal. 451–456.
S. Nawaz, A.K. Bansal, dan M.P. Sharma, “A Novel DG Allocation Method for Power Loss Reduction in Radial Distribution System,” 2016 IEEE 7th Power India Int. Conf. (PIICON), 2016, hal. 1–4.
A. Alhamali, M.E. Farrag, G. Bevan, dan D.M. Hepburn, “Determination of Optimal Site and Capacity of DG Systems in Distribution Network based on Genetic Algorithm,” 2017 52nd Int. Univ. Power Eng. Conf. (UPEC), 2017, hal. 1–6.
R. Prithvi dan M.R. Manjunath, “A Practical Approach for Optimal Allocation of Dispatchable and Non-dispatchable DG Units in Distribution Systems,” 2017 Innov. Power Adv. Comput. Technol. (i-PACT), 2017, hal. 1–7.
A.R. Gupta, “Effect of Optimal Allocation of Multiple DG dan D- STATCOM in Radial Distribution System for Minimising Losses and THD,” Int. Symp. Embed. Computi. Syst. Design (ISED), 2017, hal. 1 - 5.
A. Chowdhury, R. Roy, dan K.K. Mandal, “Comparative Study of Single and Multiple Point Renewable Energy Based DG Allocation Considering Improvement of Voltage Stability, Economic and Environmental Factors Using Jaya Algorithm,” 2017 Int. Conf. Comput., Electr. Commun. Eng. (ICCECE), 2017, hal. 1–7.
S. Bhuyan, M. Das, dan K.C. Bhuyan, “Particle Swarm Optimizations Based DG Allocation in Local PV Distribution Networks for Voltage Profile Improvement,” 2017 Int. Conf. Comput., Electr. Commun. Eng. (ICCECE), 2017, hal. 1–4.
M.H. Albadi, A.S. Al-Hinai, N.N. Al-Abri, Y.H. Al-Busafi, dan R.S. Al-Sadairi, “Optimal Allocation of Renewable-Based DG Resources in Rural Areas Using Genetic Algorithms,” 2012 Asia-Pacific Power Energy Eng. Conf., 2012, hal. 1–4.
I.N. Trivedi, P. Jangir, N. Jangir, S.A. Parmar, M. Bhoye, dan A. Kumar, “Voltage Stability Enhancement and Voltage Deviation Minimization Using Multi-Verse Optimizer Algorithm,” 2016 Int. Conf. Circuit, Power Comput. Technol. (ICCPCT), 2016, hal. 1–5.
S. Mirjalili, S.M. Mirjalili, dan A. Hatamlou, “Multi-Verse Optimizer: A Nature-inspired Algorithm for Global Optimization,” Neural Comput. Appl., Vol. 27, No. 2, hal. 495–513, Feb. 2016.
K.M. Bataineh dan A. Hamzeh,” Efficient Maximum Power Point Tracking Algorithm for PV Application under Rapid Changing Weather Condition,” Int. Sch. Rese. Notices Renew. Energy, Vol. 2014, hal. 1-13, 2014.
R. Ramaprabha dan B.L. Matur “Development of an Improved Model SPV Cell for Partially Shaded Solar Photovoltaic Arrays,” Eur. J. Sci. Res., Vol. 47, No. 1, hal. 122-134, 2010.
T.G. Hlalele, R.M. Naidoo, J. Zhang, dan R.C. Bansal, “Dynamic Economic Dispatch with Maximal Renewable Penetration Under Renewable Obligation,” IEEE Access, Vol. 8, hal. 38794–38808, 2020.
Y.M. Atwa, E.F. El-Saadany, M.M.A. Salama, dan R. Seethapathy, “Optimal Renewable Resources Mix for Distribution System Energy Loss Minimization,” IEEE Trans. Power Syst., Vol. 25, No. 1, hal. 360–370, Feb. 2010.
A. Zidan, H.A. Gabbar, dan A. Eldessouky, “Optimal Planning of Combined Heat and Power Systems within Microgrids,” Energy, Vol. 93, hal. 235–244, Des. 2015.
F.A. Mohamed dan H.N. Koivo “System Modelling and Online Optimal Management of Micro Grid Using Mesh Adaptive Direct Search,” Int. J. Electr. Power Energy Syst., Vol. 32, No. 5, hal. 398–407, 2010.
P. Li, P. Han, S. He, dan X. Wang, “Double-uncertainty Optimal Operation of Hybrid AC/DC Microgrids with High Proportion of Intermittent Energy Sources,” J. Mod. Power Syst. Clean Energy, Vol. 5, No. 6, hal. 838–849, Nov. 2017.
D.Q. Hung dan N. Mithulananthan, “Multiple Distributed Generator Placement in Primary Distribution Networks for Loss Reduction,” IEEE Trans. Ind. Electron., Vol. 60, No. 4, hal. 1700–1708, Apr. 2013.
U. Umar, G. Setyawan, F. Faanzir, F. Firdaus, D. Fajar U.P., A. Soeprijanto, dan O. Penangsang, “New Enhanced Symbiotic Organisms Search for Optimal Location and Sizing of Distributed Generation in Radial Distribution System,” Int. J. Intell. Eng. Syst., Vol. 13, No. 5, hal. 170–180, Okt. 2020.
S. Kansal, V. Kumar, dan B. Tyagi, “Hybrid Approach for Optimal Placement of Multiple DGs of Multiple Types in Distribution Networks,” Int. J. Electr. Power Energy Syst., Vol. 75, hal. 226–235, Feb. 2016.
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