Abstract
In order to lower the cost of power, many countries have started reforming their power sectors with the participation of private companies. The Jharkhand State Electricity Board (JSEB) has been restructured into four different companies in the year 2014. In this paper, the relative efficiencies of electrical distribution utilities (EDUs) of the state are evaluated for the period 2008–2011 through the application of data envelopment analysis (DEA). The analysis of the relative efficiencies reveals the need of efficient reform initiatives for the EDUs of JSEB. In this regard, the present work proposes few initiatives that are additionally useful for electrical distribution sector in the state Jharkhand, India. Grouping of similar types of EDUs and change of circle based on geographical nature are proposed as two efficient initiatives for the distribution sector of the state. The mean efficiency score is evaluated before and after the implementation of proposed initiatives to verify the effectiveness. The findings of the research show the improvement of efficiencies after the application of the proposed initiatives.
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References
Dyner I, Larsen ER (2001) From planning to strategy in the electricity industry. Energy Policy 29:1145–1154
Brunekreeft G (2015) Network unbundling and flawed coordination: experience from electricity sector. Util Policy 34:11–18
Ibarra-Yunez A (2015) Energy reform in Mexico: imperfect unbundling in the electricity sector. Util Policy 35:19–27
Thillai Rajan A (2000) Power sector reforms in Orissa: an ex-post analysis of the casual factors. Energy Policy 28:657–669
Kundu GK, Mishra BB (2011) Impact of reform and privatization on consumers: a case study of power sector reform in Orissa, India. Energy Policy 39:3537–3549
Kundu GK, Mishra BB (2012) Impact of reform and privatization on employees: a case study of power sector reform in Orissa, India. Energy Policy 45:252–262
Totare NP, Pandit S (2010) Power sector reform in Maharashtra, India. Energy Policy 38:7082–7092
Yadav VK, Padhy NP, Gupta HO (2011) Performance evaluation and improvement directions for an Indian electric utility. Energy Policy 39:7112–7120
Yadav VK, Chauhan YK, Padhy NP, Gupta HO (2013) A novel power sector restructuring model based on data envelopment analysis (DEA). Electr Power Energy Syst 44:629–637
Badelt G, Yehia M (2000) The way to restructure the Lebanese electric power sector: a challenge for the transitional management. Energy Policy 28:39–47
Goto M, Ofsuka A, Sueyoshi T (2014) DEA (data envelopment analysis) assessment of operational and environmental efficiencies on Japanese regional industries. Energy 66:535–549
Sueyoshi T, Goto M (2012) Efficiency-based rank assessment for electric power industry: a combined use of data envelopment analysis (DEA) and DEA discriminant analysis (DA). Energy Econ 34(3):634–644
Olanrewaju OA, Jimoh AA, Kholpane PA (2013) Assessing the energy potential in the South African industry: a combined IDA-ANN-DEA (index decomposition analysis-artificial neural network-data envelopment analysis) model. Energy 63(15):225–232
Bezdek JC (1981) Pattern recognition with fuzzy objective function algorithms. Plenum, New York
Xie Y, Raghavan VV, Zhao X (2002) 3M algorithm: finding an optimal fuzzy cluster scheme for proximity data. In: International proceedings of IEEE world congress on computational intelligence, Honolulu, HI, vol 1, pp 627–632
Dunn JC (1973) A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters. J Cybern 3:32–57
Simab M, Haghifam M-R (2010) Using integrated model to assess the efficiency of electric distribution companies. IEEE Trans Power Delivery 25(4):1806–1814
Charnes A, Cooper WW, Rhodes E (1978) Measuring the efficiency of decision making units. Eur J Oper Res 2:429–444
Abbott M (2015) Reform and efficiency of New Zealand’s airport. Util Policy 36:1–9
Ghosh S, Dubey SK (2013) Comparative analysis of k means and fuzzy c means clustering algorithms. Int J Adv Comput Sci Appl 4(4):35–39
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Srinivas, P., Peesapati, R., Vardhan, M.H., Naidu, K.A. (2021). Reform Initiatives for Electrical Distribution Utilities in Jharkhand, India. In: Chowdary, P., Chakravarthy, V., Anguera, J., Satapathy, S., Bhateja, V. (eds) Microelectronics, Electromagnetics and Telecommunications. Lecture Notes in Electrical Engineering, vol 655. Springer, Singapore. https://doi.org/10.1007/978-981-15-3828-5_38
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DOI: https://doi.org/10.1007/978-981-15-3828-5_38
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