scholarly journals Improved GA based power and cost management system in a grid-associated PV-wind system

Author(s):  
Kothai Andal C. ◽  
Jayapal R.

Renewable hybrids play an essential part in assisting India with quickening the decarbonisation of power production and lowering power production expense in the medium term. PV and wind energy are complementary to each other, making the system to generate electricity almost throughout the year. In this paper, a grid-associated PV-wind energy system tied with a battery is analysed. PV, wind, grid and battery are the sources to be effectively scheduled for uninterrupted power and cost minimisation. Energy management controllers use optimisation strategies for effective utilisation of sources and cost minimisation. The methodologies are detailed as optimisation problems. Limiting the household energy cost is considered as objective, and the delivery ratio of power offered to the grid and utilised locally is treated as the optimisation variable. In this paper, an improved genetic algorithm is proposed to solve the formulated nonlinear optimisation problems. The time-of-use tariff is becoming popular in India; therefore, this article analyses the improved genetic algorithm based intelligent power and cost management system under time-of-use tariff. Using MATLAB, the proposed approach's performance is presented with the comparative analysis of conventional self-made for self-consumed and rest for sale mode and genetic algorithm-based energy management controller.

2020 ◽  
Author(s):  
Devashish Sen ◽  
Rohini Srivastava ◽  
Nitin Sahai ◽  
R. P. Tewari ◽  
Basant Kumar

2021 ◽  
Author(s):  
Mourougavelou Vaithianathan

The cost management system is a powerful tool for managers to understand manufacturing plant performance. It is essential for any organization to develop a cost management system to estimate the product cost and to account actual cost spent for the product manufacturing. The Activity Based Costing (ABC) system has recently attracted the attention of many companies and is considered to provide better information about the cost pattern and the relationship between resources and activities. However, a survey of earlier research reveals that there are several difficulties to estimate the true product cost due to selection of overhead drivers to activities. To overcome these difficulties Temporal-ABC has been developed by Dr. K.D. Tham. In the first part of the report, costing system implementation issues are studied through real-time case studies. Then, research has been conducted and web-based proptotype application is developed using Temporal-ABC through collaboration with a world-class electronics industry - Celestica Inc. Toronto, Canada. The developed prototype demonstrates the application of Temporal-ABC for cost estimation at Celestica.


2020 ◽  
Vol 12 (515) ◽  
pp. 326-331
Author(s):  
O. T. Polishchuk ◽  
◽  
Y. O. Bernadska ◽  

The article is aimed at researching the essence of costs for the quality of production, their importance and necessity, the reliability of reflection in the accounting system, which will ensure the efficiency of managerial decision-making and the introduction of a cost management system at the enterprise, including in terms of costs for the production quality. Approaches to the essence of quality costs are analyzed, researches of scientists on the need for such costs in the cost management system of enterprise and the production quality management system are substantiated. Approaches to the feasibility of classification of quality costs on the basis of requests from the managers of different levels of management are considered, as well as the formation of their nomenclature and catalogue in terms of costs for quality provision and for the correction of rejects. The need to introduce a system of accounting for the production quality as an informational component of making effective managerial decisions is substantiated. The researchers’ proposals for displaying quality costs in the accounting system are examined. A generalized algorithm of the process of organization of accounting for costs of production quality is proposed, which provides for: setting tasks for accounting costs for quality; determination of objects of accounting and classification of such costs, methods of assessing the costs of production quality, system of accounts; development of a complex of documentary support. The components of each stage of this algorithm are substantiated. It is determined that the efficiency of the quality costs management system depends on reliable accounting and analytical provision at all stages of the economic process of their occurrence, accumulation, distribution and write-off.


Author(s):  
S. A. Tunin ◽  
A.V. Frolov

The article presents the results of the development and testing of cost management methods in agricultural organizations. The purpose of the activity of any organization that has set itself the task of extracting profit is its growth and increasing the efficiency of its activities. As a rule, all organizations strive to maximize their profits while minimizing the costs incurred. In modern economic conditions, such an approach is possible only with a properly constructed effective cost management system. Rational use of available resources by organizations of the agro-industrial complex with proper cost management will allow organizations to be competitive in the market and carry out their activities in the foreseeable future. The subject of the study is the cost management accounting system, the object of the organization of the agro-industrial complex of the Stavropol Territory. The information base was the forms of specialized reporting of agricultural organizations of the Stavropol Territory. The scientific novelty of the research consists in the development of a methodology for the cost management system in the agro-industrial complex organizations of the Stavropol Territory.


2018 ◽  
Vol 216 ◽  
pp. 02005
Author(s):  
Irina Solskaya ◽  
Sergei Belomestnykh

The purpose of the study is definition and substantiation of the main development points of assessment and planning functions in the cost management system of railway transport infrastructure. Methods used in the study include general scientific analysis and synthesis, dynamic and structural analysis of economic indicators, as well as textual analysis of regulatory documents. Such approach enables to formulate industry-specific peculiarities of cost assessment based on general theoretical concepts of effective use of factors of production. The result of this study is an author's developed approach to cost management system for railway transport infrastructure.


2019 ◽  
Vol 9 (4) ◽  
pp. 792 ◽  
Author(s):  
Ibrar Ullah ◽  
Sajjad Hussain

This paper proposes two bio-inspired heuristic algorithms, the Moth-Flame Optimization (MFO) algorithm and Genetic Algorithm (GA), for an Energy Management System (EMS) in smart homes and buildings. Their performance in terms of energy cost reduction, minimization of the Peak to Average power Ratio (PAR) and end-user discomfort minimization are analysed and discussed. Then, a hybrid version of GA and MFO, named TG-MFO (Time-constrained Genetic-Moth Flame Optimization), is proposed for achieving the aforementioned objectives. TG-MFO not only hybridizes GA and MFO, but also incorporates time constraints for each appliance to achieve maximum end-user comfort. Different algorithms have been proposed in the literature for energy optimization. However, they have increased end-user frustration in terms of increased waiting time for home appliances to be switched ON. The proposed TG-MFO algorithm is specially designed for nearly-zero end-user discomfort due to scheduling of appliances, keeping in view the timespan of individual appliances. Renewable energy sources and battery storage units are also integrated for achieving maximum end-user benefits. For comparison, five bio-inspired heuristic algorithms, i.e., Genetic Algorithm (GA), Ant Colony Optimization (ACO), Cuckoo Search Algorithm (CSA), Firefly Algorithm (FA) and Moth-Flame Optimization (MFO), are used to achieve the aforementioned objectives in the residential sector in comparison with TG-MFO. The simulations through MATLAB show that our proposed algorithm has reduced the energy cost up to 32.25% for a single user and 49.96% for thirty users in a residential sector compared to unscheduled load.


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