Optimal robust integrated power distribution network planning under load demand uncertainty
Abstract
Due to the new technologies introduced in smart grids, it is hard to forecast future load demands with deterministic values.This makes it essential to consider load demand uncertainty in power distribution planning (PDP) approaches. The purposeof this paper was to find an approach that can solve optimal integrated power distribution long-term planning under loaddemand uncertainty. A single objective function was used that considers costs of low and medium voltage feeders, distributiontransformers (DT) and high voltage (HV) substations simultaneously. Imperialist competitive algorithm (ICA) was used tosolve the optimization problem. The proposed approach was applied to a semi-real hypothetical test-case with geographicalattributes. Normal distribution function was used to model load demand uncertainty and Monte Carlo simulation (MCS)technique was applied to solve optimal planning under uncertainty. MCS takes statistical data and gives statistical results. Atechnique was utilized to take a single solution from statistical results. Based on comparisons with deterministic approach,the proposed approach is capable of giving a robust solution.References
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[2] P. S. Georgilakis, N. D. Hatziargyriou, A review of power distribution planning in the modern power systems era: Models, methods and future research, Electric Power Systems Research 121 (2015) 89–100.
[3] Y. Backlund, J. A. Bubenko, Computer-aided distribution system planning, International Journal of Electrical Power & Energy Systems 1 (1) (1979)
35–45.
[4] M. R. Ganjavi, Coordinated comprehensive design of distribution systems at medium and low voltage levels, in: 16th International Conference and Exhibition on Electricity Distribution, 2001. Part 1: Contributions. CIRED. (IEE Conf. Publ No. 482), Vol. 5.29, 2001, pp. 1–6.
[5] P. C. Paiva, H. M. Khodr, J. A. Dom ́ınguez-Navarro, J. M. Yusta, A. J. Urdaneta, Integral planning of primary-secondary distribution systems using mixed integer linear programming, IEEE Transactions on Power Systems 20 (2) (2005) 1134–1143.
[6] R. H. Fletcher, K. Strunz, Optimal distribution system horizon planning-Part I: Formulation, IEEE Transactions on Power Systems 22 (2) (2007) 791–799.
[7] R. H. Fletcher, K. Strunz, Optimal distribution system horizon planning-Part II: Application, IEEE Transactions on Power Systems 22 (2) (2007) 862–870.
[8] I. Ziari, G. Ledwich, A. Ghosh, Optimal integrated planning of MV-LV distribution systems using DPSO, Electric Power Systems Research 81 (10) (2011) 1905–1914.
[9] M. S. Nazar, M. R. Haghifam, M. Naˇzar, A scenario driven multi-objective primary-secondary distribution system expansion planning algorithm in the presence of wholesale-retail market, International Journal of Electrical Power & Energy Systems 40 (1) (2012) 29–45.
[10] J. E. Mendoza, M. E. L ́opez, H. E. Pena, D. A. Labra, Low voltage distribution optimization: Site, quantity and size of distribution transformers, Electric Power Systems Research 91 (2012) 52–60.
[11] H. Khatami, S. N. Ravadanegh, Probabilistic optimal robust multistage feeder routing under load forecasting uncertainty, IET Generation, Transmission & Distribution 9 (14) (2015) 1977–1987.
[12] M. E. Samper, A. Vargas, Investment decisions in distribution networks under uncertainty with distributed generation-Part I: Model formulation, IEEE Transactions on Power Systems 28 (3) (2013) 2331–2340.
[13] M. E. Samper, A. Vargas, Investment decisions in distribution networks under uncertainty with distributed generation-Part II: Implementation and results, IEEE Transactions on Power Systems 28 (3) (2013) 2341–2351.
[14] A. Bagheri, H. Monsef, H. Lesani, Integrated distribution network expansion planning incorporating distributed generation considering uncertainties, reliability, and operational conditions, International Journal of Electrical Power & Energy Systems 73 (2015) 56–70.
[15] J. F. Franco, M. J. Rider, R. Romero, Robust multi-stage substation expansion planning considering stochastic demand, IEEE Transactions on Power Systems 31 (3) (2016) 2125–2134.
[16] S. Najafi-Ravadanegh, R. Gholizadeh-Roshanagh, On optimal multistage electric power distribution networks expansion planning, International Journal of Electrical Power & Energy Systems 54 (2014) 487–497.
[17] S. Najafi-Ravadanegh, R. Gholizadeh-Roshanagh, A heuristic algorithm for optimal multistage sizing, siting and timing of MV distribution substations, Electric Power Systems Research 105 (2013) 134–141.
[18] E. Atashpaz-Gargari, C. Lucas, Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition, in: 2007 IEEE Congress on Evolutionary Computation, 2007, pp. 4661–4667.
[19] H. Saboori, R. Hemmati, V. Abbasi, Multistage distribution network expansion planning considering the emerging energy storage systems, Energy Conversion and Management 105 (2015) 938 – 945.
[20] S. Najafi, S. H. Hosseinian, M. Abedi, A. Vahidnia, S. Abachezadeh, A framework for optimal planning in large distribution networks, IEEE Transactions on Power Systems 24 (2) (2009) 1019–1028.
[21] M. W. Gangel, R. F. Propst, Distribution transformer load characteristics, IEEE Transactions on Power Apparatus and Systems 84 (8) (1965) 671–684.
[22] N. Biggs, Algebraic Graph Theory, Cambridge University Press, 1974.
[23] R. C. Prim, Shortest connection networks and some generalizations, Bell System Technical Journal 36 (6) (1957) 1389–1401.
Published
2016-07-07
How to Cite
GHOLIZADEH-ROSHANAGH, Reza; NAJAFI-RAVADANEGH, Sajad; HOSSEINIAN, Seyed Hossein.
Optimal robust integrated power distribution network planning under load demand uncertainty.
Journal of Power Technologies, [S.l.], v. 96, n. 2, p. 115--123, july 2016.
ISSN 2083-4195.
Available at: <https://papers.itc.pw.edu.pl/index.php/JPT/article/view/857>. Date accessed: 03 dec. 2024.
Issue
Section
Electrical Engineering
Keywords
Distribution network planning; Load demand uncertainty; Monte Carlo Simulation; Optimization
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