Assessment of the Distribution Effectiveness of Labor Protective Articles in Power Supply Enterprises based on Certain Distribution System

To further optimize the distribution of labor protective articles in certain power supply enterprise, a distribution system is established to help their type selection and allocation, and questionnaires are utilized to assess the changes in relevant knowledge, behaviors, and satisfaction among the randomly sampled respondents, and the effectiveness of the distribution arising from the adoption of the system. It is demonstrated that a remarkable increase occurs in the accuracy of employees mastering knowledge pertaining to labor protective articles, and particularly their willingness to actively learn the correct method of using the articles stands at as high as 94.7%; their satisfaction with the replacement cycle of the protective articles decreases, satisfaction with to what extent their requirements of protection are met by the articles distributed through the system significantly rises, and the proportion of the negative options in terms of willingness to wear the articles drops from 2.7% before adopting the distribution system to 0%. It is suggested that the employees’ requirements of the effectiveness and usability of the protective articles in power supply enterprises can be met quite well through this distribution system, which is of significance in providing guidance about how to enhance the practicability of such articles.

Measurement of Electricity Distribution Service in India by Soft Computing Technique (ANN)

Indian electric power division networks have evolved under certain assumptions. Industry architectures that bear multidirectional information exchange between the regulatory rules and the technology developers are likely to move toward to achieve optimal performance. Currently, very little attention is given to the potential for quality of service discrimination and improvements and/or cost reduction of electricity sector. Effective customer satisfaction investigation is a very important prerequisite for power supply enterprise to win in the market competition. It has for some time been realized that the performance of a service industry such as the electricity providers of a local authority is likewise evaluated by its consumers on the quality of its service delivered to the consumer. Therefore, in this chapter, efforts are taken to use an Artificial Neural Network (ANN) to evaluate service quality in an electricity utility industry.

Views of the Communication Security of Power Supply Enterprises

Recently, with the quickly growing in power industry of our country, the power supply enterprise also pay more attention to communication security. Concerning the running time of communication network of power supply enterprise, there must be a communication platform for control support. In the new period, many intelligent devices enter the power industry, what affecting the system stability and security. This paper mainly studies on the safety of power supply enterprise communications technical support and application, analysis of security problems, and puts forward the solving measures.

Quantitative Analysis of the Fluctuation Reasons of Grid Line Loss Rate

While analyzing the line loss, power supply enterprise always encounters circumstances in which the line loss rate swings heavily, especially during the months when there exists season alternate or long vacations, the fluctuation range of the line loss rate grows larger, and it will be apparently on the high side or on the low side. This text figured out the major factors influencing the fluctuation of the line loss rate, quantitatively analyzing three factors’ effects on line loss rate, which respectively are non-correspondence electric quantity for supplying and selling, the dedicated line which large consumer load transfers and the change of electric quantity which is nondestructive for sale, thus facilitating the grid enterprises dynamically analyzing the line loss in time, providing authentic line loss data for electric power departments at all levels, electricity board, power supply station, improving the accuracy of line loss analysis, dismissing the human factors during the fluctuation of line loss.

An analysis for service quality enhancement in electricity utility sector of India by SEM

Purpose – The purpose of this paper is to develop a new model – namely service quality enhancement – in the electricity utility sector of south India and to test this model's fitness. Design/methodology/approach – Effective customer satisfaction investigation is a very important precondition for a power supply enterprise to win in the market competition. The problems that need to be solved for the power supply enterprise are how to use advanced and practiced methods to evaluate electricity customer satisfaction, and how to use results of the evaluation to improve their service. Planning and operating modern electric power systems involves several interlinked and complex tasks. In this paper, structural equation modeling (SEM) is applied to the electricity utility service model to verify service quality satisfaction. To determine the scope of the electricity industry and its relationship with overall service quality, a questionnaire-based survey was conducted and a standard questionnaire was designed for all customers in different groups of stakeholders (i.e. domestic, industrial, agricultural, public organization). To investigate the respondents’ perceptions regarding the service quality of the electricity utility industry, 200 questionnaires were sent, and from these 169 responses were collected, consisting of 53 responses from the domestic sector, 43 industrial, 30 agricultural, and the remaining 43 from public organization consumers. Then a model was constructed using SEM and tested by Amos 18 to verify the casual relationship between the measured dimensions and the electricity service quality. Findings – The results indicate that electricity service has a direct relationship with the dimensions of reliability, tangibility, empathy responsiveness, assurance, security and stability. Originality/value – In this era electricity is the vital need, but due to regular interruptions in the electricity service, customer dissatisfaction is the measured issue. At the current time, the Indian electricity utility sector enjoys a monopolistic business. Therefore, there is hardly any effort to improve the service quality in this sector due to a lack of administrative pressure and reformation measures. Indian electricity consumers face many quality-related problems as far as the distribution of electricity is concerned. In order to assess service quality in electricity distribution, a survey has been conducted in this work to extract quality constructs from a customer's perspective. One of the contributions of this work is that on the basis of results obtained from factor analysis of the survey data, an instrument has been proposed for the first time in the Indian context, consisting of seven dimensions (reliability, tangibility, empathy, responsiveness, assurance, security and stability). This instrument would help to measure the service quality of the Indian electricity utility sectors, and it provides insights for managers and administrators to set a service standard to fill the service gap. SEM is a tool is used for confirmatory and exploratory factor analysis. It is used to test and validate standard instruments. Through confirmatory and exploratory factor analysis using SEM, the proposed service quality model has been tested and validated for practical acceptance in Indian electricity industry.