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Electrical Engineering
Erschienen in: Electrical Engineering 4/2018

08.10.2018 | Original Paper

Distribution network reinforcement planning in uncertain environment using stochastic multi-attribute utility analysis

verfasst von: Aleksandar Janjic, Zeljko Dzunic, Vladimir Djordjevic

Erschienen in: Electrical Engineering | Ausgabe 4/2018

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Abstract

This paper considers a stochastic multiple criteria decision-making problem in power distribution system reinforcement planning. The problem with exhaustive set of alternatives, with different types of trade-offs among stochastic criteria, has been solved using the novel analytical methodology. The proposed methodology is based on discrete convolution of criteria probability distribution functions and OWA operators, modelling different types of criteria aggregation. After the new, aggregated probability distributions have been built for every alternative, they are ranked by the overall expected utility. The methodology allows the usage of compensatory aggregation, which is more suitable for conflicting criteria or the human aggregation behaviour. Finally, an example of decision on the network reinforcement of IEEE 34 bus test feeder illustrates the efficiency of this method.
Vorheriger Artikel Efficient hybrid algorithm for transmission expansion planning
Nächster Artikel A new analytical approach for design of current and speed controllers in electrical motor drives

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Literatur
1.
Ziari I, Ledwich G, Ghosh A, Platt G (2013) Optimal distribution network reinforcement considering load growth, line loss and reliability. IEEE Trans Power Syst 28(2):587–597CrossRef
2.
El-Khattam W, Bhattacharya K, Hegazy Y, Salama MMA (2004) Optimal investment planning for distributed generation in a competitive electricity market. IEEE Trans Power Syst 19(3):1674–1684CrossRef
3.
Koutsoukis NC, Georgilakis PS, Hatziargyriou ND (2014) A Tabu search method for distribution network planning considering distributed generation and uncertainties. In: International conference on probabilistic methods applied to power systems (PMAPS), pp 1–6
4.
Bagheri A, Monsef H, Lesani H (2015) Integrated distribution network expansion planning incorporating distributed generation considering uncertainties reliability and operational conditions. Int J Electr Power Energy Syst 73:56CrossRef
5.
Catrinu MD, Nordgård DE (2011) Integrating risk analysis and multi-criteria decision support under uncertainty in electricity distribution system asset management. Reliab Eng Syst Saf 96(6):663–670CrossRef
6.
Ayuub B, Klir G (2006) Uncertainty modeling and analysis in engineering and science. CRC, Boca RatonCrossRef
7.
Durbach IN, Stewart TJ (2012) Modeling uncertainty in multi-criteria decision analysis. Eur J Oper Res 223(1):1–14MathSciNetCrossRef
8.
Leou R-C, Su C-L, Lu C-N (2014) Stochastic analyses of electric vehicle charging impacts on distribution network. IEEE Trans Power Syst 29(3):1055–1063CrossRef
9.
Pudjianto D, Djapic P, Aunedi M, Kim C, Strbac G, Huang S, Infield D (2013) Smart control for minimizing distribution network reinforcement cost due to electrification. Energy Policy 52:76–84CrossRef
10.
Bin Humayd AS, Bhattacharya K (2017) Distribution system planning to accommodate distributed energy resources and PEVs. Electr Power Syst Res 145:1CrossRef
11.
Xiang Y, Liu J, Li F, Liu Y, Liu Y, Xu R, Su Y, Ding L (2016) Optimal active distribution network planning: a review. Electr Power Compon Syst 44:1075CrossRef
12.
Hilber P, Miranda V, Matos M, Bertling L (2007) Multiobjective optimization applied to maintenance policy for electrical networks. IEEE Trans Power Syst 22(4):1675–1682CrossRef
13.
Yang F, Chang CS (2009) Multiobjective evolutionary optimization of maintenance schedules and extents for composite power systems. IEEE Trans Power Syst 24(4):1694–1702CrossRef
14.
Berredo RC, Ekel PY, Martini JSC, Palhares RM, Parreiras RO, Pereira JG Jr (2011) Decision making in fuzzy environment and multicriteria power engineering problems. Int J Electr Power Energy Syst 33(3):623–632CrossRef
15.
Barin A, Pozzatti LF, Canha LN, Machado RQ, Abaide AR, Arend G (2010) Multi-objective analysis of impacts of distributed generation placement on the operational characteristics of networks for distribution system planning. Int J Electr Power Energy Syst 32(10):1157–1164CrossRef
16.
Pan J, Rahman S (1998) Multiattribute utility analysis with imprecise information: an enhanced decision support technique for the evaluation of electric generation expansion strategies. Electr Power Syst Res 46:101–109CrossRef
17.
Janjic A, Savic S, Velimirovic L, Nikolic V (2015) Renewable energy integration in smart grids-multicriteria assessment using the fuzzy analytical hierarchy process. Turk J Electr Eng Comput Sci 23:1896–1912CrossRef
18.
Kazmi SAA, Shahzad MK, Ryeol Shin D (2017) Multi-objective planning techniques in distribution networks: a composite review. Energies 10:208CrossRef
19.
Daim T et al (eds) (2013) Research and technology management in the electricity industry, green energy and technology. Springer, London
20.
Zhag P, Lee ST (2004) Probabilistic load flow computation using the method of combined cumulants and Gram-Charlier expansion. IEEE Trans Power Syst 19(1):676–682CrossRef
21.
Villanueva D, Feijóo AE, Pazos JL (2014) An analytical method to solve the probabilistic load flow considering load demand correlation using the DC load flow. Electr Power Syst Res 110:1–8CrossRef
22.
Su CL (2005) Probabilistic load-flow computation using point estimate method. IEEE Trans Power Syst 20(4):1843–1851MathSciNetCrossRef
23.
Brown R (2008) Electric power distribution reliability. CRC Press, Boca RatonCrossRef
24.
Evans DL, Leemis LM (2004) Algorithms for computing the distributions of sums of discrete random variables. Math Comput Model 40(13):1429–1452MathSciNetCrossRef
25.
Martel J, D’Avignon G (1982) Projects ordering with multicriteria analysis. Eur J Oper Res 10(1):56–69CrossRef
26.
D’Avignon G, Vincke P (1988) An outranking method under uncertainty. Eur J Oper Res 36:311–321CrossRef
27.
Zaras K (2004) Rough approximation of a preference relation by a multi-attribute dominance for deterministic, stochastic and fuzzy decision problems. Eur J Oper Res 159(1):196–206MathSciNetCrossRef
28.
Wu D, Olson DL (2008) A comparison of stochastic dominance and stochastic DEA for vendor evaluation. Int J Prod Res 46(8):2313–2327CrossRef
29.
Lahdelma R, Hokkanen J, Salminen P (1998) SMAA—stochastic multiobjective acceptability analysis. Eur J Oper Res 106(1):137–143CrossRef
30.
Lahdelma R, Salminen P (2001) SMAA-2: stochastic multicriteria acceptability analysis for group decision making. Oper Res 49(3):444–454CrossRef
31.
Keeney RL, Raiffa H (1993) Decisions with multiple objectives—preferences and value tradeoffs. Cambridge University Press, CambridgeCrossRef
32.
Yager R (1988) On ordered weighted averaging aggregation operators in multi-criteria decision making. IEEE Trans Syst Man Cybern 18(1):183–190CrossRef
33.
IEEE Distribution Planning Working Group Report (1991) Radial distribution test feeders. IEEE Trans Power Syst 6(3):975–985CrossRef
34.
Janjic A, Popovic D (2007) Selective maintenance schedule of distribution networks based on risk management approach. IEEE Trans Power Syst 22(2):597–604CrossRef
Metadaten
Titel
Distribution network reinforcement planning in uncertain environment using stochastic multi-attribute utility analysis
verfasst von
Aleksandar Janjic
Zeljko Dzunic
Vladimir Djordjevic
Publikationsdatum
08.10.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
Electrical Engineering / Ausgabe 4/2018
Print ISSN: 0948-7921
Elektronische ISSN: 1432-0487
DOI
https://doi.org/10.1007/s00202-018-0748-y

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