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Determination of pumped storage capacity combining the entropy weighting method and principal component analysis

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Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The aim of the study is to evaluate methods for determining appropriate pumped storage capacities. This is especially relevant, since pumped storage units are, today, viewed as some of the best means of storing large amounts intermittently-produced power in order to meet peak demands on power supply grids. The determination of appropriate pumped storage capacity is a problem of integrated decision-making. The entropy weighting method and principal component analysis are combined to determine the optimum pumped storage capacity, taking into account several representative indices, whilst using the syntropy method to standardize the data indicators. The entropy weighting method is used to determine the weighting of the indicators, while principal component analysis offers reduction of the dimensions. The optimal solution is then determined by ranking the evaluation values for each design. This method can avoid subjectivity in the weighting assignment and simplifies the calculations to an evaluation problem which contains multiple evaluation indices. Using the principle of energy-saving scheduling, the peak-shaving method is applied to the dispatching over a typical daily load in order to verify the rationality of the calculated pumped storage capacity. The example analysis, here, shows that it is reasonable to determine the optimum pumped storage capacity by using this combination of the entropy weighting method and principal component analysis.
Rocznik
Strony
165--175
Opis fizyczny
Bibliogr. 23 poz., rys., tab., wykr.
Twórcy
autor
  • School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
autor
  • School of Electrical Engineering and Automation Harbin Institute of Technology, Harbin 150001, China
autor
  • Pohang University of Science and Technology, Pohang 790-784, Republic of Korea
Bibliografia
  • [1] A. Poullikkas, Optimization analysis for pumped energy storage systems in small isolated power systems, Journal of Power Technologies 93 (2) (2013) 78–89.
  • [2] S. Papaefthimiou, E. Karamanou, S. Papathanassiou, M. Papadopoulos, Operating policies for wind-pumped storage hybrid power stations in island grids, IET Renewable Power Generation 3 (3) (2009) 293–307.
  • [3] P. D. Brown, J. A. Pecas Lopes, M. A. Matos, Optimization of pumped storage capacity in an isolated power system with large renewable penetration, IEEE Trans on Power Systems 23 (2) (2008) 523–531.
  • [4] S. V. Papaefthymiou, E. G. Karamanou, S. A. Papathanassiou, M. P. Papadopoulos, A wind-hydro-pumped storage station leading to high RES penetration in the autonomous island system of ikaria, IEEE Transactions on Sustainable Energy 1 (3) (2010) 163–172.
  • [5] S. M. Chen, S. J. Niou, Fuzzy multiple attributes group decision-making based on fuzzy preference relations, Expert Systems with Applications 38 (4) (2011) 3865–3872.
  • [6] A. Soroudi, M. Ehsan, R. Caire, N. Hadjsaid, Possibilistic evaluation of distributed generations impacts on distribution networks, IEEE Transactions on Power Systems 26 (4) (2011) 2293–2301.
  • [7] M. T. Isaai, A. Kanani, M. Tootoonchi, H. R. Afzali, Intelligent timetable evaluation using fuzzy AHP, Expert Systems with Applications 38 (4) (2011) 3718–3723.
  • [8] H. K. Chan, X. J. Wang, G. R. T. White, N. Yip, An extended fuzzy-AHP approach for the evaluation of green product designs, IEEE Transactions on Engineering Management 60 (2) (2013) 327–339.
  • [9] Y. H. Chiang, Using a combined AHP and PLS path modelling on blog site evaluation in Taiwan, Computers in Human Behavior 29 (4) (2013) 1325–1333.
  • [10] W. H. Chen, Quantitative decision-making model for distribution system restoration, IEEE Transactions on Power Systems 25 (1) (2010) 313–321.
  • [11] Q. Wang, D. M. Kilgour, K. W. Hipel, Fuzzy real options for risky project evaluation using least squares Monte Carlo simulation, IEEE Systems Journal 5 (3) (2011) 385–395.
  • [12] S. K. Tyagi, M. Akram, Human reliability evaluation for offshore platform musters using intuitionistic fuzzy sets, IEEE Transactions on Fuzzy Systems 21 (6) (2013) 1115–1122.
  • [13] D. Liu, M. Liu, Application of sample entropy on measuring precipitation series complexity in jiansanjiang branch Bureau of China, Nature Environment and Pollution Technology 12 (2) (2013) 249–254.
  • [14] B. Hsiao, C. C. Chern, C. R. Chiu, Performance evaluation with the entropy based weighted russell measure in data envelopment analysis, Expert Systems with Applications 38 (8) (2011) 9965–9972.
  • [15] S. Bouhouche, L. L. Yazid, H. Tarek, B. Jurgen, Inferential sensor-based adaptive principal components analysis for mechanical properties prediction and evaluation, Measurement 46 (9) (2013) 3683–3690.
  • [16] A. Banimostafa, S. Papadokonstantakis, K. Hungerbuhler, Evaluation of EHS hazard and sustainability metrics during early process design stages using principal component analysis, Process Safety and Environmental Protection 90 (1) (2012) 8–26.
  • [17] M. F. Qi, Z. G. Fu, Y. Jing, Y. Ma, A comprehensive evaluation method of power plant units based on information entropy and principal component analysis, in: Proceedings of CSEE, Vol. 33, 2013, pp. 58–64.
  • [18] X. Q. Wen, Y. H. Wang, C. Chen, S. G. Peng, Evaluation on land intensive utilization based on the combination of principal component analysis and entropy value method, Journal of Anhui Agri. Sci 36 (28) (2008) 12372–12373.
  • [19] D. P. Guo, Research on benefits and economy for pumped storage station, Master’s thesis, Dalian University of Technology, China (2001).
  • [20] F. Cao, L. Z. Zhang, Determination of pumped-storage plant capacity with peak-regulation proportion, Electric Power Automation Equipment 27 (6) (2007) 47–50.
  • [21] J. C. Cui, D. H. Liu, W. L. Liang, F. Xie, H. Y. Chen, Analysis on economic and environmental benefit of pumped-storage station, Electric Power 40 (1) (2007) 5–10.
  • [22] Z. A. Zhang, X. G. Cai, Determination of pumped storage capacity based on entropy, Electric Machines and Control 18 (3) (2014) 34–39.
  • [23] H. Z. Nie, S. Nie, Y. Qiao, P. Lv, Comprehensive decisionmaking of alternative transmission network planning based on principal component analysis, Power System Technology 34 (6) (2010) 134–137.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-eadeeb82-bf62-4a9e-b22f-8bf3426d4f8a
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