scholarly journals Risk Methods Applied to Electricity Distribution System in the UAE Electricity Markets

2020 ◽  
Vol 8 (6) ◽  
pp. 80-87
Keyword(s):  
Risk Management ◽  
United Arab Emirates ◽  
Electricity Markets ◽  
Asset Management ◽  
Distribution System ◽  
Distribution Systems ◽  
Electricity Distribution ◽  
Research Findings ◽  
Research Questions

Electricity distribution systems (EDSs) are essential pieces of infrastructure for nations worldwide. However, the key assets constituting these systems can be exposed to various forms of risk. The purpose of this research was to explore and explicate the risk management methods applied to electricity distribution system asset management in the United Arab Emirates (UAE) electricity markets. It was a secondary research that encompassed the use of the existing data to explore this issue and address the research questions. The research findings revealed the electricity distribution system asset management exists in the form of real time, mid-term, and long-term. Moreover, it was found that this system could be exposed to economic, environmental, quality, reputational, vulnerability and regulatory risks. Finally, the research findings revealed risk management methods that could be used to the system in the UAE electricity markets are categorized as simplified, standard, and model-based. This study recommended that UAE companies operating in the electricity industry should apply a holistic risk analysis in their electricity distribution system asset management.

scholarly journals Long-Term Maintenance Scheduling of Smart Distribution System through a PSO-TS Algorithm

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Jianxue Wang ◽  
Jianming Lu ◽  
Zhaohong Bie ◽  
Shutang You ◽  
Xiaoyu Cao
Keyword(s):  
Smart Grid ◽  
Asset Management ◽  
Distribution System ◽  
Distribution Systems ◽  
Maintenance Scheduling ◽  
Numerical Result ◽  
Distribution System Reliability ◽  
Combined Algorithm ◽  
Term Maintenance

Asset management of distribution systems is an important issue for smart grid. Maintenance scheduling, as an important part of asset management, affects the reliability of distribution equipment and power supply. This research focuses on long-term distribution system maintenance scheduling aided by available operation information, which is a prominent advantage of smart grid over conventional distribution systems. In this paper, the historical and future operation information in smart grid is taken into account through a decoupled time-varying reliability model of equipment. Based on distribution system reliability assessment, a maintenance scheduling model is proposed to determine the optimal implementation time of maintenance activities to minimize distribution systems’ total cost, while satisfying reliability requirements. A combined algorithm that consists of particle swarm optimization and tabu search is designed and applied to the optimization problem. Numerical result verifies that the proposed method can schedule long-term maintenance of distribution systems in smart grid economically and effectively.

scholarly journals Techno-Economic Models For Integration Of Wind Energy

2021 ◽  
Author(s):  
Chandrabhanu O.G. Kankanamalage
Keyword(s):  
Wind Energy ◽  
Electricity Markets ◽  
Distribution System ◽  
Power Flow ◽  
Distribution Systems ◽  
Flow Analysis ◽  
Power Flow Analysis ◽  
Wind Generators ◽  
Three Phase ◽  
Intelligent Models

This thesis focusses on three specific areas of integrating wind energy with power systems: 1) technical modeling of wind generators for power flow analysis, 2) probabilistic modeling of wind generators for planning studies, and 3) economic modeling for integration of wind energy in electricity markets. Wind generator output is a function of wind speed and 3-phase terminal voltages. Complete nonlinear three-phase models of wind generators are accurate but are computationally cumbersome and unsuitable for power flow analysis purposes. Intelligent models of wind generators are proposed for their accurate representation and use in power flow analysis algorithms. The main advantages of these intelligent models of wind generators are their mathematical simplicity, computational speed and numerical accuracy when the generators are connected to unbalanced three-phase distribution systems. These proposed intelligent models of wind generators were tested with the three-phase, unbalanced, IEEE 37-bus test system. The results show that the intelligent models of wind generators are computationally ten times faster than exact nonlinear models. In addition, simplicity of the proposed intelligent models of wind generators allows easy integration into commercial software such as PSS®E and PSS®SINCAL. In the second study, a probabilistic model of wind generators was integrated with algorithm for distribution system analysis. The proposed probabilistic power flow analysis method for distribution systems takes into account the stochastic nature of wind generation and forecasted bus-wise peak load. Probability distribution functions for bus voltages are reconstructed. The proposed method is tested on a modified 70-bus distribution system and the results are reported. Thirdly, an economic integration model for wind generators with electricity markets is proposed. The proposed model is in the form of a Wind Generators Cooperative (WGC). This proposed model overcomes challenges posed by uncertainty and intermittency of wind generation. The proposed cooperative model maximizes returns for wind generators by minimizing the effect of uncertainty by smoothing effect and using pumped-hydro facilities. A case study with actual data from Ontario (Canada) was completed. Analyses clearly demonstrate that the WGC increases returns to wind generators and reduces their exposure to uncertainty.

scholarly journals MODERN ASPECTS OF ORGANIZATION OF ENTERPRISES’ GOODS DISTRIBUTION SYSTEMS

2018 ◽  
Vol 1 (2(14)) ◽  
pp. 64-70
Author(s):  
Larysa Valentynivna Babachenko ◽  
Viktoriya Viktorivna Zhydok ◽  
Maksym Mykolaiovych Zabashtanskyi
Keyword(s):  
Distribution System ◽  
Distribution Systems ◽  
Distribution Channel ◽  
Distribution Channels ◽  
Basic Material ◽  
Marketing Concept ◽  
Effective Performance ◽  
Production And Distribution ◽  
Business Entities

Urgency of the research. The use of marketing technologies in the formation of goods distribution channels is a topical issue in the context of organizing a rational system of commodity circulation and establishing a long-term cooperation which involves all its members. Target setting. Traditional distribution channels are not sufficiently effective in modern conditions of management, therefore, at the expense of labor division and successful cooperation, it is necessary to achieve the most effective performance of functions by the participants of the distribution channel. Actual scientific researches and issues analysis. The study of the marketing distribution system has been carried out in the works of such scholars as O. A. Bilovodska, V. A. Hertsyk, A. F. Pavlenko. Uninvestigated parts of general matters defining. The influence of relationships marketing concept on the activity of forming goods distribution systems requires additional study. The research objective. The purpose of the article is to study the influence of goods distribution system on ensuring the effective functioning of business entities and improving marketing relationships of all members of the distribution channel. The statement of basic material. The influence of marketing distribution systems on the competitiveness of an individual enterprise is being investigated; the need for their effective formation and functioning is being substantiated. The implementation of relationships marketing concept has been proposed, which will help to establish a long-term cooperation of all subjects of the distribution system and will be the basis for the formation of production and distribution systems in market conditions. Conclusions. The necessity of establishing a long-term cooperation of all participants of the distribution system on the basis of implementation of relationships marketing concept, that meets the existing requirements of the market, has been substantiated.

scholarly journals A long-term risk management tool for electricity markets using swarm intelligence

2010 ◽  
Vol 80 (4) ◽  
pp. 380-389 ◽  
Author(s):  
F. Azevedo ◽  
Z.A. Vale ◽  
P.B. Moura Oliveira ◽  
H.M. Khodr
Keyword(s):  
Risk Management ◽  
Swarm Intelligence ◽  
Electricity Markets ◽  
Management Tool

scholarly journals Economic Analysis for Replacement of 11kV overhead Koteshwor Feeder by Underground Distribution System

2021 ◽  
Vol 6 ◽  
pp. 33-41
Author(s):  
Ganesh Kumar Sah ◽  
Laxman Poudel
Keyword(s):  
Economic Analysis ◽  
Cost Estimation ◽  
Distribution System ◽  
Public Safety ◽  
Distribution Systems ◽  
Cost Effective ◽  
Electricity Distribution ◽  
Reliability Indices ◽  
Standard Data ◽  
Present Worth

Cost effective, Aesthetic and Reliable energy supply is the need of any mankind. In this study, economic analysis for replacement of 11 kV overhead distribution feeder by 11kV underground cable is done with reference to Koteshwor Feeder under Baneshwor Distribution and Consumers Service. The reliability indices like SAIDI, SAIFI, ENS etc. is performed by using DigSilentPowerFactory software. The reliability of overhead distribution system is evaluated by using real system data system and similarly, historical IEEE standard data is used for underground distribution system. The reliability indices are compared for both distribution systems. Result shows that interruption in the overhead system is more than underground distribution system, the energy not supplied to the customer by overhead distribution system is also more than underground distribution system. The replacement cost estimation is performed by using Nepal Electricity Authority (NEA) unit rate and KEI industries quoted price for NEA underground project. The B/C ratio and Present Worth value for the 25-year period of useful life shows that the replacement of the existing overhead distribution system by underground distribution system is financial suitable and can be payback by revenue save from the Energy Not Supply (ENS) lower value of underground distribution system than overhead distribution system. In order to get the continuous of supply, esthetic and public safety in electricity distribution field one may have to bear initially extra cost to use underground distribution systems which finally get payback. Thus, in case of densely populated city like Kathmandu, underground distribution system is reasonable requirement for continuous supply, esthetic and public safety in electricity distribution filed.

scholarly journals Techno-economic models for integration of wind energy.

2021 ◽  
Author(s):  
Chandrabhanu Opathella Ganehi Kankanamalage
Keyword(s):  
Wind Energy ◽  
Electricity Markets ◽  
Distribution System ◽  
Power Flow ◽  
Distribution Systems ◽  
Flow Analysis ◽  
Power Flow Analysis ◽  
Wind Generators ◽  
Three Phase ◽  
Intelligent Models

This thesis focuses on three specific areas of integrating wind energy with power systems: 1) technical modeling of wind generators for power flow analysis, 2) probabilistic modeling of wind generators for planning studies, and 3) economic modeling for integration of wind energy in electricity markets. Wind generator output is a function of wind speed and 3-phase terminal voltages. Complete nonlinear three-phase models of wind generators are accurate but are computationally cumbersome and unsuitable for power flow analysis purposes. Intelligent models of wind generators are proposed for their accurate representation and use in power flow analysis algorithms. The main advantages of these intelligent models of wind generators are their mathematical simplicity, computational speed and numerical accuracy when the generators are connected to unbalanced three-phase distribution systems. These proposed intelligent models of wind generators were tested with the three-phase, unbalanced, IEEE 37-bus test system. The results show that the intelligent models of wind generators are computationally ten times faster than exact nonlinear models. In addition, simplicity of the proposed intelligent models of wind generators allows easy integration into commercial software such as PSS®E and PSS®SINCAL. In the second study, a probabilistic model of wind generators was integrated with algorithm for distribution system analysis. The proposed probabilistic power flow analysis method for distribution systems takes into account the stochastic nature of wind generation and forecasted bus-wise peak load. Probability distribution functions for bus voltages are reconstructed. The proposed method is tested on a modified 70-bus distribution system and the results are reported. Thirdly, an economic integration model for wind generators with electricity markets is proposed. The proposed model is in the form of a Wind Generators Cooperative (WGC). This proposed model overcomes challenges posed by uncertainty and intermittency of wind generation. The proposed cooperative model maximizes returns for wind generators by minimizing the effect of uncertainty by smoothing effect and using pumped-hydro facilities. A case study with actual data from Ontario (Canada) was completed. Analyses clearly demonstrate that the WGC increases returns to wind generators and reduces their exposure to uncertainty.

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