Assessment of Local Power Grid Expansion

2021 ◽  
pp. 27-40
Author(s):  
A. N. Afandi
Keyword(s):  
Power Grid ◽  
Local Power

scholarly journals Optimal Charging Navigation Strategy Design for Rapid Charging Electric Vehicles

Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 962 ◽  
Author(s):  
Wangyi Mo ◽  
Chao Yang ◽  
Xin Chen ◽  
Kangjie Lin ◽  
Shuaiqi Duan
Keyword(s):  
Electric Vehicles ◽  
Power Grid ◽  
Harmonic Distortion ◽  
Traffic Information ◽  
Local Power ◽  
Real Time Traffic ◽  
Regulation Scheme ◽  
Navigation Strategy ◽  
The Stability ◽  
Grid Operation

Electric vehicles (EVs) have become an efficient solution to making a transportation system environmentally friendly. However, as the number of EVs grows, the power demand from charging vehicles increases greatly. An unordered charging strategy for huge EVs affects the stability of a local power grid, especially during peak times. It becomes serious under the rapid charging mode, in which the EVs will be charged fully within a shorter time. In contrast to regular charging, the power quality (e.g.,voltages deviation, harmonic distortion) is affected when multiple EVs perform rapid charging at the same station simultaneously. To reduce the impacts on a power grid system caused by rapid charging, we propose an optimal EV rapid charging navigation strategy based on the internet of things network. The rapid charging price is designed based on the charging power regulation scheme. Both power grid operation and real-time traffic information are considered. The formulated objective of the navigation strategy is proposed to minimize the synthetic costs of EVs, including the traveling time and the charging costs. Simulation results demonstrate the effectiveness of the proposed strategy.

scholarly journals The response of local power grid at low-latitude to geomagnetic storm: An application of the Hilbert Huang transform

Space Weather ◽  
2016 ◽  
Vol 14 (4) ◽  
pp. 300-312 ◽  
Author(s):  
Jin Liu ◽  
Chuan-Bing Wang ◽  
Lu Liu ◽  
Wei-Huai Sun
Keyword(s):  
Geomagnetic Storm ◽  
Power Grid ◽  
Local Power ◽  
Low Latitude ◽  
Hilbert Huang Transform

scholarly journals Modelling of the Biomass mCHP Unit for Power Peak Shaving in the Local Electrical Grid

Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 458 ◽  
Author(s):  
Michał Gliński ◽  
Carsten Bojesen ◽  
Witold Rybiński ◽  
Sebastian Bykuć
Keyword(s):  
Power Consumption ◽  
Control Strategy ◽  
Power Grid ◽  
Combined Heat And Power ◽  
Local Power ◽  
Wood Pellets ◽  
Peak Shaving ◽  
Electrical Grid ◽  
Power Peak ◽  
Evening Peak

In the article, the method and algorithm for a control strategy of the operation of a micro combined heat and power (mCHP) unit and for reducing the power consumption peaks (peak shaving) are proposed and analyzed. Two scenarios of the mCHP’s operation, namely with and without the control strategy, are discussed. For calculation purposes, a boiler fired with wood pellets coupled with a Stirling engine, manufactured by ÖkoFEN, was used. These results were used to analyze two scenarios of the control strategy. In this study, the operation of mCHP was simulated using the energyPRO software. The application of this control strategy to dispersed mCHP systems allows for a very effective “peak shaving” in the local power grid. The results of calculation using the new algorithm show that the electricity generated by the mCHP system covers the total demand for power during the morning peak and reduces the evening peak by up to 71%. The application of this method also allows for a better reduction of the load of conventional grids, substations, and other equipment.

Synergic calculation method of voltage stability L indicator for multi-area power network

2017 ◽  
Vol 36 (4) ◽  
pp. 1134-1150 ◽  
Author(s):  
Anan Zhang ◽  
Fan Zhang ◽  
Zhi Li ◽  
Qian Li ◽  
Xuliang Zhang ◽  
...  
Keyword(s):  
Calculation Method ◽  
Voltage Stability ◽  
Power Grid ◽  
Power Grids ◽  
Calculation Error ◽  
Local Power ◽  
Power Network ◽  
Regional Power ◽  
Content Type ◽  
Equivalent Method

Purpose With the growing scale of power grids, integrated power grids often contain multiple areas. When the control centre of each regional grid conducts an assessment of local voltage stability, the calculation is always based on the local regional power grid model. However, less consideration is given to a detailed model of the entire network, which may lead to a large calculation error. Under the premise of ensuring the data and information security of Supervisory Control and Data Acquisition between different regional power grid operation control centres, the purpose of this paper is to reduce calculation error simply by using the data of a local power network. Design/methodology/approach According to the calculation methodology of “decomposition and coordination” and the power balance equation of an interconnected power grid, an improved radial equivalent independent (REI) equivalent method, which can reflect the dynamic characteristics of interconnected power grids to a certain extent, is proposed in this paper. A mathematical model of multi-area-grid L indicator synergic computing is derived as well. Findings With the calculation of Institute of Electrical and Electronics Engineers (IEEE) standard grids and an actual grid model, it is proven that the method proposed in this paper can significantly improve the accuracy of the regional power grid L indicator calculation and achieve the synergic computing of a multi-area power system L indicator, without an increase in data interaction among the regional power grids. Originality/value The indicator of voltage stability among multi-area was obtained by using the improved REI equivalent method with the change of the load participation factor. Particularly, the coordinated calculation method can be implemented on a local power grid without knowledge of all the parameters of its interconnection, which can avoid possible leakage of confidential data and information of the system owners.

Local power grid assessment of the power system expansion considering captive power plants

2019 ◽  
Author(s):  
A. N. Afandi ◽  
Langlang Gumilar ◽  
Irham Fadlika
Keyword(s):  
Power System ◽  
Power Plants ◽  
Power Grid ◽  
System Expansion ◽  
Local Power
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