The Reliability and Economic Analysis Comparison Between Parallel System and Erlang Distribution System

2016 ◽  
pp. 35-42 ◽  
Author(s):  
Lin Xu ◽  
Chao-Fan Xie ◽  
Lu-Xiong Xu
Keyword(s):  
Economic Analysis ◽  
Distribution System ◽  
Parallel System ◽  
Erlang Distribution

Economic Analysis of Two Microgrid Prototypes

2012 ◽  
Vol 433-440 ◽  
pp. 2411-2416
Author(s):  
Lue Bin Fang ◽  
Jin Ding Cai ◽  
Han Lin ◽  
Geoffrey James
Keyword(s):  
Economic Analysis ◽  
Distributed Generation ◽  
Power Output ◽  
Distribution System ◽  
Cost Efficiency ◽  
Storage System ◽  
Economic Benefits ◽  
Energy Resources ◽  
Analysis Tool ◽  
Continuous Power

A microgrid is an excellent supplement for both urban and rural utility grids. It assists in the integration of different kinds of renewable and distributed generation and it has the potential to make the distribution system more flexible and reliable. A microgrid is a combination of two or several energy resources like natural gas, wind, photovoltaic, biomass or diesel generators. Different energy resources together with battery storage system can complement one another to provide a more continuous power output. Two microgrid prototypes are discussed and, optional configurations are estimated using the economic analysis tool HOMER. Economic benefits and greenhouse-gas emissions of microgrids are calculated and compared. Results show that microgrids with optimal sizing and operation can achieve both cost efficiency and lower emissions.

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 Socio-Economic Analysis of Household Energy Security: Evidence from 3D Energy Losses Surface Maps (ELSMs) of a Town Using Conjuncture of Factors Matrix, Digital and Mathematical Analysis

2016 ◽  
Vol 55 (4I-II) ◽  
pp. 1019-1041
Author(s):  
Ejaz Gul ◽  
Imran Sharif Chaudhry
Keyword(s):  
Economic Analysis ◽  
Mathematical Analysis ◽  
Distribution System ◽  
Energy Security ◽  
Energy Crisis ◽  
Energy Losses ◽  
Computer Assisted ◽  
Khyber Pakhtunkhwa ◽  
Surface Maps ◽  
Khyber Pakhtunkhwa Province

Pakistan is facing perpetual and worsening energy crisis. For vision 2025, the most important litmus test is to overcome energy crisis and ensure energy security by imaginative and innovative energy alternatives. In the same context, scientists, experts and researchers have been focusing on renewables and non-renewable energy generation alternatives, but have largely ignored the flip side. The extravagant use of energy, unlawful connections and losses in distribution system are contributors to ongoing energy crisis. For energy security in a developing country like Pakistan, elimination of energy losses seems a viable option, alongside generation of energy. Therefore, there is a need to have socio-economic analysis of energy losses. In this paper, energy losses for electricity were estimated for Lali Bagh Town of Peshawar, Khyber Pakhtunkhwa Province using a versatile and innovative socio-economic framework. This framework was based on factors matrix comprising socio-economic, environmental and energy factors pertaining to households. Within the factors matrix approach, three methods were used for analysis of energy losses; the statistical analysis to obtain trend and ratings of electricity losses, digital analysis of the data by computer assisted qualitative data analysis software (CAQDAS) to get the digitally iterated and attenuated models along with representative equations and mathematical analysis of equations by Newton-Leibniz integration process to obtain numerical value of the ratings. Based on the results obtained, three dimensional energy losses surface maps (ELSMs) were prepared for Lali Bagh Town of Peshawar, Khyber Pakhtunkhwa Province. At the end, policy recommendations have been given in the context of vision 2025. Paper is a unique combination of theoretical, mathematical and digital cum spatial economics. JEL Classification: O22, Q21, Q31, Q41. Keywords: Socio-economic, Analysis, Energy, Security, Electricity, Losses, Factors, Matrix, Digital, Maps.

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