Business structure of electricity distribution system operator and effect on solar photovoltaic uptake: An empirical case study for Switzerland

Due to the natural limitations faced by the old system of keeping, planning and managing the distribution of electricity, a computerized system is developed for Power Holding Company of Nigeria (PHCN), on Ashamu Layout of Kosobo Area, Oyo State, Nigeria. Data was acquired using south total station (NTS) and the data was downloaded using NTS.comp and project boundary was plotted with AutoCAD civil 3D, 1m Ikonos resolution satellite imagery was downloaded and geo-referenced with Arcgis10.1. Spatial features such as roads and buildings were vectorized. Electricity distribution and management was designed and created using relational database management system (rdbms) approach. The raster image was added as layer to ArcGIS 10.1 environments for geo-referencing and vectorization. The roads, buildings, electric poles were vectorized and a south total station was used to acquire co-ordinates of the electric poles and transformers to their position on the imagery, creating spatial database for the study area. The developed system was tested by carrying out spatial analysis and spatial search using ArcGIS 10.1. The results obtained were displayed in graphics and tables. It was established from the result that Geographic Information System (GIS) has the capacity as an effective tool for management of electricity distribution system.

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Business Models to Exploit Possibilities of E-mobility: An Electricity Distribution System Operator Perspective

Periodica Polytechnica Transportation Engineering ◽

10.3311/pptr.13471 ◽

2019 ◽

Vol 48 (1) ◽

pp. 1-10 ◽

Cited By ~ 3

Author(s):

István Vokony ◽

Bálint Hartmann ◽

József Kiss ◽

Péter Sőrés ◽

Csaba Farkas

Keyword(s):

Distribution System ◽

Business Models ◽

Economic Benefits ◽

Research Topic ◽

Electricity Distribution ◽

Electric Cars ◽

Target Individual ◽

System Operator ◽

Common Framework ◽

Potential Customers

E-mobility is a fast-developing field of electrical industry not only in in Hungary but in Europe and worldwide as well. Besides their environmental, social and economic benefits, electric cars offer further significant possibilities for distribution system operators, for example through the exploitation of controlled charging. This is a hot research topic, but uniform and well-tried solutions are still not available. Actors in electromobility are still forming, thus it is still not known which customer groups might be partners in controlled charging.Present paper enlists solutions offering more than traditional optimization processes based on solely one objective function. The five business solutions proposed here aim at matching electric cars with the present and future operation of DSOs. Two methods (Vehicle2Home and Night Rider) target individual customers, while the other three proposals (E-pump, plug&WORK, ENTERPRISeFLEET) are for fleets. A common framework is used to describe these methods here, and both potential customers and the advantages for DSOs are given. Out of the five solutions above, a detailed business model was developed for three concepts, specifying costs and expected incomes. Avoided costs were identified separately, which include all expenses that might be qualitatively or quantitatively influenced by charging of electric cars or controlled charging.

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Impacts of Solar-PV Rooftop on PEA’s Distribution System in the Area of Hemaraj Eastern Seaboard Industrial Estates, Thailand

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.781.272 ◽

2015 ◽

Vol 781 ◽

pp. 272-275 ◽

Cited By ~ 2

Author(s):

Sarayuth Wetchakama ◽

Uthane Supatti

Keyword(s):

Power Quality ◽

Power Distribution ◽

Distribution System ◽

Quality Analysis ◽

Solar Photovoltaic ◽

Solar Pv ◽

Pv System ◽

Industrial Estates ◽

Power Quality Analysis

This paper presents power quality analysis and impact of power solar rooftop on distribution system of the Provincial Electricity Authority (PEA) in Thailand. The case study used in this paper is a 996 kWpeak solar photovoltaic (PV) distribution generator (DG) system which connected to 22 kV at Pluak Daeng 3 substation in Pluak Daeng, Rayong, Thailand. Experiment and simulation are used in power quality analysis. The simulation is conducted through the DIgSILENT PowerFactory program to analyze the behavior of the DG system on the PEA power distribution. Experimental results show that all qualities of power from solar rooftop meet the PEA’s standard criteria while the simulation results show that over 4 MW of solar rooftop generation, the voltage of utility grid system would be affected during cloudy periods. However, if the PV system produces 2-3 MW of power, the distribution system would be benefit.

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Smart grid investment and technology roadmap for power system planning. Case study for a distribution system operator: EAECSA

2014 IEEE International Energy Conference (ENERGYCON) ◽

10.1109/energycon.2014.6850570 ◽

2014 ◽

Cited By ~ 1

Author(s):

Carlos de Palacio Rodriguez ◽

Antonio Colmenar Santos ◽

David Borge-Diez ◽

Oscar Monzon

Keyword(s):

Smart Grid ◽

Power System ◽

Distribution System ◽

Power System Planning ◽

System Planning ◽

Technology Roadmap ◽

System Operator

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A Framework for Determining a Prediction-Of-Use Tariff Aimed at Coordinating Aggregators of Plug-In Electric Vehicles

Energies ◽

10.3390/en12234487 ◽

2019 ◽

Vol 12 (23) ◽

pp. 4487

Author(s):

Gustavo E. Coria ◽

Angel M. Sanchez ◽

Ameena S. Al-Sumaiti ◽

Guiseppe A. Rattá ◽

Sergio R. Rivera ◽

...

Keyword(s):

Electric Vehicles ◽

Distribution System ◽

Voltage Profile ◽

Load Curve ◽

Distribution Transformers ◽

Power Profile ◽

System Operator ◽

Flexible Loads ◽

Power Limit

The objective of this article is to propose a framework for defining a day-ahead prediction-of-use tariff (POU) that promotes aggregators of the plug-in electric vehicles (PEVs) to operate as closely as possible to an optimal charging curve previously calculated by the distribution system operator (DSO). The DSO calculates this optimal charging curve to flatten the load curve of the distribution transformers as much as possible by coordinating the daily recharging of PEVs. The objective is to establish the optimal power profile of the PEV aggregators needed to flatten the power curve supplied by the transformer, so that PEV customers’ needs can be met throughout the day. The proposed framework is applied in a case study accounting for uncertainties associated with charging through Monte Carlo simulation, in order to find the POU tariff. The results demonstrate that applying the POU tariff determines the transformer’s minimum power limit necessary to meet all PEV users’ needs. Additionally, the day-ahead POU tariff does not generate new demand peaks, since it does not concentrate the energy supply of flexible loads in pre-established time bands. Finally, simulation reflects the significant effect of the PEV charging on the distribution system in terms of enhancing the voltage profile, maximizing the transformer life, and reducing the power/energy losses.

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