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

2015 ◽  
pp. 348-360
Author(s):  
Suchismita Satapathy
Keyword(s):  
Power Supply ◽  
Information Exchange ◽  
Service Industry ◽  
Market Competition ◽  
Electricity Sector ◽  
Computing Technique ◽  
Power Supply Enterprise ◽  
Soft Computing Technique ◽  
Artificial Neural Network 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.

Supervise the Physicochemical Quality of Ground Water Using Soft Computing Technique

2021 ◽  
pp. 1-18
Author(s):  
Sunil Kumar Sharma ◽  
Sameh S Ahmed ◽  
Vivek Sharma ◽  
Hassan Ibrahim Mohamed ◽  
Hasim Khan
Keyword(s):  
Ground Water ◽  
Soft Computing ◽  
Computing Technique ◽  
Physicochemical Quality ◽  
Soft Computing Technique

Complex CBR (of BC Soil-RHA-Cement Mix) Estimation: Made Easy by ANN Approach [a Soft Computing Technique]

2011 ◽  
Vol 261-263 ◽  
pp. 675-679 ◽  
Author(s):  
A.N. Ramakrishna ◽  
A.V. Pradeep Kumar ◽  
Keerthi Gowda
Keyword(s):  
Soft Computing ◽  
Expansive Soil ◽  
Experimental Results ◽  
Pile Capacity ◽  
Computing Technique ◽  
Weighted Matrix ◽  
Processing Ability ◽  
Engineering Problems ◽  
Soft Computing Technique ◽  
Artificial Neural Network Ann

In past days many researchers have been worked on the expansive soil to determine the California Bearing Ratio (CBR) values in a conventional ways, which are time consuming and require lot of manual involvements. So we the authors of this research paper attempted to develop a soft computing technique to prognosticate CBR value by using Artificial Neural Network (ANN), a data driven technique. ANN is a mathematical model inspired from the human brain’s information-processing characteristics, including the parallel processing ability. Over the last few years, the use of ANN has increased in many areas of engineering. In particular have been applied to many geotechnical engineering problems and have demonstrated some degree of success. A review of the literature reveals that ANN has been used successfully in the pile capacity prediction, site characterization and so on. In the present study the Black Cotton (BC) soil has been stabilized by using Rice Husk Ash (RHA) and cement, several experiments have been conducted for different mix combinations under soaked condition. From the obtained results, it is observed that the CBR value of BC soil increases with the addition of RHA and cement combination. The soaked CBR value found to be maximum for the mix of BC soil + 15% RHA + 12% cement. The present study deals with collection of input data base from experimental results, ANN’s training and its testing are adopted to fix the appropriate weighted matrix (Illustrated in Fig (1)) which in turn Prognosticates the CBR value. Experimental results have been compared with the CBR values prognosticated by using ANN and comparison graphs also plotted (Illustrated in fig (4)). The results of this study will contribute for the prognostication of CBR, which will assist a geotechnical engineer in estimation of CBR, with minimum effort.

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

2014 ◽  
Vol 21 (6) ◽  
pp. 964-986 ◽  
Author(s):  
Suchismita Satapathy
Keyword(s):  
Factor Analysis ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Power Supply ◽  
Quality Enhancement ◽  
Public Organization ◽  
Content Type ◽  
Power Supply Enterprise ◽  
Electricity Utility

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.

scholarly journals Smart Metering Systems Optimization for Non-Technical Losses Reduction and Consumption Recording Operation Improvement in Electricity Sector

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2947
Author(s):  
Ilie Vlasa ◽  
Adrian Gligor ◽  
Cristian-Dragos Dumitru ◽  
Laszlo Barna Iantovics
Keyword(s):  
Power Supply ◽  
Power Distribution ◽  
Measurement Errors ◽  
Optimal Solution ◽  
Electricity Sector ◽  
Smart Metering ◽  
Electric Power Supply ◽  
Distribution Company ◽  
Quality Of Electric Power

One of the keys of enhancing the quality of electric power supply resides in the accuracy of the consumption metering. Nowadays development of the sensors, devices and systems for electricity metering offers the basis for this service. Nevertheless, this achievement in many situations is altered such that appropriate measures must be adopted even if already significant costs have been registered. In this paper is proposed and discussed an optimal solution based on the identification and minimizing the measurement errors for increasing the electricity readings accuracy and lowering the electricity losses and related costs. In this regard, a mathematical model was developed and a particular algorithm for the mentioned problem is proposed and tested in the case of a power distribution company where an enhancement on average of the own technological consumption with 4% was recorded.

scholarly journals Indonesia’s Dynamic Electricity Power Sector: Investigating Need and Supply Performance

2015 ◽  
Vol 61 (1) ◽  
pp. 53 ◽  
Author(s):  
Latif Adam ◽  
Maxensius Tri Sambodo
Keyword(s):  
Power Supply ◽  
Electricity Sector ◽  
Land Acquisition ◽  
Social Aspect ◽  
Power Sector ◽  
Private Partnership ◽  
Electricity Power ◽  
Per Capita ◽  
Transmission And Distribution

This paper analyzes the development and problems of electricity sector in Indonesia. After the economic crisis of 1997/98, investment in power sector has been decreasing. Minimizing transmission and distribution loss can increase reliability and quality of power supply, improve financial capacity, and reduce electricity subsidy. Electrification ratio and electric power consumption per capita need to be improved equally among provinces. Promoting public private partnership (PPP) can boost investment. Main policy challenges need to be addressed are that government needs to (1) provide information on the investment prospects; (2) solve social aspect of the project; and (3) provide practical guide in land acquisition.

scholarly journals The diffusion mechanism of the application of intelligent manufacturing in SMEs model based on cellular automata

Open Physics ◽  
2021 ◽  
Vol 19 (1) ◽  
pp. 170-178
Author(s):  
Lei Wang ◽  
Sijia Yang ◽  
Wenqi Fan ◽  
Fangqing Tang
Keyword(s):  
Cellular Automata ◽  
Information Exchange ◽  
Market Competition ◽  
Diffusion Mechanism ◽  
Real Data ◽  
Intelligent Manufacturing ◽  
Industrial Clusters ◽  
Manufacturing Technology ◽  
Government Support ◽  
Support Policy

Abstract Based on the characteristics of intelligent manufacturing and the theory of technology diffusion, this paper constructs a cellular automata model with government support policy, information exchange, technology maturity, diffusion intermediary, and market competition as the influencing factors and analyzes the influence mechanism of the first three main factors on the diffusion of intelligent manufacturing technology in industrial clusters using MATLAB. This paper also makes an empirical analysis of the diffusion of intelligent manufacturing technology in the bearing industry cluster in Xinchang County and finds that the results are basically consistent by comparing the simulation data with the fit degree of the real data. In this paper, the diffusion intermediary and government support policy have the greatest influence on the application of intelligent manufacturing in small- and medium-sized enterprises, and the model proposed in this paper is effective.

scholarly journals Method of Estimating Uncertainty as a Way to Evaluate Continuity Quality of Power Supply in Hospital Devices

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 486
Author(s):  
Marek Stawowy ◽  
Adam Rosiński ◽  
Jacek Paś ◽  
Tomasz Klimczak
Keyword(s):  
Power Systems ◽  
Power Supply ◽  
Uncertainty Modeling ◽  
Supply System ◽  
Additional Advantage ◽  
Quality Models ◽  
Reliability Indicators ◽  
Electrical Devices

The article presents issues related to the determination of the continuity quality of power supply (CQoPS) for hospital electrical devices. The model describing CQoPS takes into account power redundancy. The uncertainty modeling method based on the certainty factor (CF) of the hypothesis was used to establish the single-valued CQoPS factor. CQoPS modeling takes into account multidimensional quality models and physical stages of power. The quality models take into account seven dimensions that make up CQoPS (availability, appropriate amount, power supply reliability, power quality, assurance, responsiveness, security). The model of power stages includes five of these stages (power generation, delivery to recipient, distribution by recipient, delivery to device, power-consuming device). To date, when designing hospital power systems, the applied reliability indicators revealed limitations because they do not consider all the possible factors influencing the power continuity. Estimating the supply continuity quality with the use of the uncertainty modeling proposed in this article allows for taking into account all possible factors (not just reliability factors) that may affect supply continuity. The presented modeling offers an additional advantage, namely, it allows an expanded evaluation of the hospital supply system and a description using only one indicator. This fact renders the evaluation of the supply system possible for unqualified staff. At the end of the article, some examples of calculations and simulations are presented, thus showing that the applied methods give the expected results.

Regulator Circuit Transformer Voltage-Second Product Analysis

2014 ◽  
Vol 529 ◽  
pp. 501-505
Author(s):  
Chi Zhang ◽  
Ming Zhi He
Keyword(s):  
Power Supply ◽  
Power Electronic ◽  
Product Analysis ◽  
Power Regulator ◽  
Current Voltage ◽  
Three Phase ◽  
The Impact ◽  
Power Electronic Technology ◽  
Primary Current

With the continuous development of power electronic technology, the advantages of thyristor power regulator circuit gradually get more and more applications. It improves the quality of power supply, makes the equipment efficiency and power factor higher and so saves a lot of electricity. Through the calculation of the primary current when thyristor turns off in three-phase power regulator circuit with transformer load, the impact of the thyristors turn-off order on the transformer primary current voltage-second product is analysised, and through simulation the exactness is verified.

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