Optimal capacity planning of renewable distributed generation in active distribution networks to reduce greenhouse gas emissions

• Autorzy: Olivas J. L. M. , De Faria Jr. H. , Sousa T. , Belati E. A.

Identyfikatory

DOI

10.15199/48.2017.04.33

Warianty tytułu

PL

Planowanie optymalnej pojemności odnawialnych źródeł energii w aktywnej sieci rozdzielczej w celu redukcji emisji gazów cieplarnianych

• Języki publikacji: EN

Abstrakty

EN

This work presents an evaluation of the maximum capacity of renewable distributed generation that can be connected to active distribution networks to minimize the greenhouse gas emissions of the electric network. The study aimed at obtaining a methodology applicable to active distribution networks with characteristics of variable generation and demand in order to reduce greenhouse gas emissions from electric power generation activities. The formulation of the methodology is based on an optimal power flow model incorporating special system controls.

PL

W artykule rozważa się maksymalna pojemność odnwialnych źródeł energii rozproszonej która może być dołączona do aktywnej sieci rozdzielczej dla zminimalizowania emisji gazów cieplarnianych. Metoda polega na modelu optymalnego przepływu mocy uwzględniającym sterowanie systemem.

Słowa kluczowe

EN

greenhouse gas emissions; distributed generation; active distribution network; wind energy

PL

gaz cieplarniany; energia rozproszona; źródła odnawialne

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2017
• Tom: R. 93, nr 4
• Strony: 135--139
• Opis fizyczny: Bibliogr. 17 poz., rys., tab., wykr.

Twórcy

autor

Olivas J. L. M.

• Federal University of ABC, Engineering, Modeling and Applied Social Sciences Center, Avenida dos Estados, 5001,Bairro Bangu, Santo André, SP, CEP: 09210-580

autor

De Faria Jr. H.

• Federal University of ABC, Engineering, Modeling and Applied Social Sciences Center, Avenida dos Estados, 5001,Bairro Bangu, Santo André, SP, CEP: 09210-580

autor

Sousa T.

• Federal University of ABC, Engineering, Modeling and Applied Social Sciences Center, Avenida dos Estados, 5001,Bairro Bangu, Santo André, SP, CEP: 09210-580

autor

Belati E. A.

• Federal University of ABC, Engineering, Modeling and Applied Social Sciences Center, Avenida dos Estados, 5001,Bairro Bangu, Santo André, SP, CEP: 09210-580

Bibliografia

• [1] L. F. Ochoa, C. J. Dent, and G. P. Harrison, "Distribution network capacity assessment: Variable DG and active networks", IEEE Transactions on Power Systems, vol. 25, pp. 87-95, 2010.
• [2] P. Siano, P. Chen, Z. Chen, and A. Piccolo, "Evaluating maximum wind energy exploitation in active distribution networks",IET Generation, Transmission & Distribution, vol. 4, pp. 598-608, 2010.
• [3] L. F. Ochoa, C. J. Dent, and G. P. Harrison, "Maximisation of intermittent distributed generation in active networks",CIRED Seminar 2008: SmartGrids for Distribution, Frankfurt, p.1-4, 23- 24 June 2008.
• [4] L. F. Ochoa, L. C. Cradden, and G. P. Harrison, "Demonstrating the capacity benefits of dynamic ratings in smarter distribution networks", in Innovative Smart Grid Technologies (ISGT), pp. 1-6, 2010.
• [5] C. J. Dent, L. F. Ochoa, and G. P. Harrison, "Network distributed generation capacity analysis using OPF with voltage step constraints", IEEE Transactions on Power Systems, vol. 25, pp. 296-304, 2010.
• [6] A. Keane, L. F. Ochoa, C. L. Borges, G. W. Ault, A. D. Alarcon- Rodriguez, R. Currie, "State-of-the-art techniques and challenges ahead for distributed generation planning and optimization", IEEE Transactions on Power Systems, vol. 28, pp. 1493-1502, 2013.
• [7] L. F. Ochoa, A. Padilha-Feltrin, and G. P. Harrison, "Timeseries- based maximization of distributed wind power generation integration", IEEE Transactions on Energy Conversion, vol. 23, pp. 968-974, 2008.
• [8] T. Boehme, A. R. Wallace, and G. P. Harrison, "Applying time series to power flow analysis in networks with high wind penetration", IEEE Transactions on Power Systems, vol. 22, pp. 951-957, 2007.
• [9] T. Sansawatt, L. F. Ochoa, and G. P. Harrison, "Integrating distributed generation using decentralized voltage regulation", in Power and Energy Society General Meeting, 2010 IEEE, pp. 1-6, 2010.
• [10] T. H. Boehme, J. Taylor, R.Wallace, J. Bialek, "Matching renewable electricity generation with demand in Scotland" University of Edinburgh, 1.ed. Scottish Executive,77p, 2006.
• [11] L. F. O. Pizzali, “Performance of distribution networks with distributed generators", 172 p. Thesis (Ph.D. in Electrical Engineering)– Paulista State University, 2006.
• [13] P. Djapic, C. Ramsay, D. Pudjianto, G. Strbac, J. Mutale, N. Jenkins, "Taking an active approach", IEEE Power and Energy Magazine, vol. 5, pp. 68-77, 2007.
• [14] S. Liew and G. Strbac, "Maximising penetration of wind generation in existing distribution networks", in IEE ProceedingsGeneration, Transmission and Distribution, pp. 256-262, 2002.
• [15] M. F. Shaaban and E. El-Saadany, "Accommodating High Penetrations of PEVs and Renewable DG Considering Uncertainties in Distribution Systems", IEEE Transactions on Power Systems, vol. 29, No. 1, pp.259-270, 2014.
• [17] M. A. Pereira, "Power Flow in Distribution Systems of Electric Energy", Dissertation (Master in Electrical Engineering)–State University of Campinas, 1993.
• [18] A. Nikolic, B. Kostic, M. Markovic, S. Minic, and S. Milosavljevic, "Power quality analysis of wind generator connectedto the weak grid during low wind speed", in Proceedings of the 15th WSEAS international conference on Systems, pp. 333-338, 2011.
• [19] L. F. Ochoa, A. Padilha-Feltrin, and G. P. Harrison, "Evaluating distributed time-varying generation through a multiobjective index", IEEE Transactions on Power Delivery, vol. 23, pp. 1132-1138, 2008.

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).