Impact Factor Estimation on Power Quality to Electric Power Market

Abstract:

Power quality and power marketing are comprehensive concept contains multiple indexes. This paper builds the index system of the power quality promoting the power market development. And the structural equation modeling (SEM) be used to calculate the impact factor of power quality to marketing at different times and areas. This paper firstly puts power quality and marketing which are regarded as latent variables. And select the power quality index that includes the amplitude, frequency, spectrum, modulation, the notch depth and marketing index that includes market share, electricity consumption per capita, customer satisfaction rate, install electricity rate, customer loss rate as measured variables of latent variables, and establish the causal influence path graph of power quality and power marketing. According to the path graph, which reflecting causal relationships among the latent variables and the measurement equation reflecting relationship between the latent variable and significant variables. To test the significance and the rationality of the parameter and evaluate the overall performance of the structure equation model. Finally, according to the path graph and the path coefficient, we get causal influence coefficient between the power quality comprehensive index and power marketing comprehensive index.

• Periodical: Applied Mechanics and Materials (Volumes 448-453)
• Pages: 2667-2672
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.448-453.2667
• Online since: October 2013
• Authors: Wei Yuan Feng, Xue Feng Dong, Xu Dong Yu, Shuang Wen Wang, Zhong Jing Liu
• Keywords: Causal Effect, Economic Benefit, Marketing, Power Quality (PQ), Structural Equation Modeling (SEM)

References

[1] Liu Qiuhua Electric Power Market[m] China electronic power press 2008-1-1.

[2] Hu zhanting Handbook of Electric Power Marketing work[M] Henan Electric Power Company 2011-1.