Abstract
Electricity market is a complex system involving multi-factors and multi-links. As an important economic lever, the electricity price shows the evolution of complex irregular movement. It’s significant to reveal the internal law of this seemingly stochastic evolution. the study firstly determined the sequence method as the research tool after comparative analysis of four different power indexes. And then, the study compared the single time sequence and the time-sharing time sequence in PJM market. The former sequence better reflected the complex factors. So exponential of the single time sequence was studied by sequential method of least squares fit. We found that the time-sharing time sequence has a distinct power-law distribution. The exponential is in the range of 2.262-3.375. At last, the study summarized the main factors affecting price volatility. It’s a new research idea for the complex nature of electricity price and the complex system of electricity market.
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References
Zhang, F., Zhou, H.: Probability distribution of prices in electricity market. Automation of Electric Power Systems 30, 22–28 (2006)
Zheng, H., Xie, L., Zhang, L.: Positivism analysis on the probability distribution of system marginal price. Proceedings of the Chinese Society for Electrical Engineering 26, 43–47 (2006)
Sun, Y., Liu, X., Wang, Y.: Power-law measure by max-ranking method. Systems Engineering 24, 122–126 (2006)
Jeong, H., Mason, S., Barabasi, A.L., Oltvai, Z.N.: Lethality and centrality in protein networks. Nature 411, 41–42 (2001)
Newman, M.E.: Power laws, Pareto distributions and Zipf’s law. Contemporary Physics 46, 323–351 (2005)
Packard, N.H., Crutchfisld, J.P., Farmer, J.D.: Geometry from a time series. Physical Review Letters 45, 712–716 (1980)
Grassberger, P., Procaccia, I.: Characterization of strange attractor. Phys. Rev. Lett. 50, 346–349 (1983)
Yang, H., Duan, X.: Research on chaotic characteristics of electricity price and its forecasting model. Power System Technology 28, 59–63 (2004)
Zhao, J., Li, Y.: Chaotic characteristic analysis of electricity price time sequence our country and its price forecast. Power System Technology 30, 129–132 (2006)
Davison, M., Anderson, C.L., Marcus, B.: Development of a hybrid model for electrical power spot prices. IEEE Trans. on Power System 17, 257–264 (2002)
Zareipour, H., Bhattacharya, K., Canizares, C.A.: Electricity market price volatility: The case of Ontario. Energy Policy 35, 4739–4748 (2007)
Hu, H.: A brief study on power-law distribution. Physical 34, 889–896 (2005)
Liu, G., Hu, S., Dai, J.: The chaotic property of system marginal price and its forecasting. Proceedings of The Chinese Society For Electrical Engineering 23, 6–9 (2002)
Mount, T.: Market power and price volatility in restructured markets for electricity. Decision Support Systems 30, 311–325 (2001)
Davison, M., Anderson, C.L., Marcus, B.: Development of a hybrid model for electrical power spot prices. IEEE Trans. on Power System 17, 257–264 (2002)
Newman, M.E.: Power laws, Pareto distributions and Zipf’s law. Contemporary Physics 46, 323–351 (2005)
Zhu, Z., Zou, B.: Statistical analysis of day-ahead prices in PJM market. Automation of Electric Power Systems 30, 53–57 (2006)
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Jingqi, S., Dongxiao, N., Chunjie, L. (2011). Study on Chaos Characteristics of Electricity Price Based on Power-Law Distribution. In: Wu, Y. (eds) Advances in Computer, Communication, Control and Automation. Lecture Notes in Electrical Engineering, vol 121. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25541-0_64
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DOI: https://doi.org/10.1007/978-3-642-25541-0_64
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