The EV-olution of the power system: A spatio-temporal optimisation model to investigate the impact of electric vehicle deployment

2020 ◽  
Vol 257 ◽  
pp. 113715 ◽  
Author(s):  
Clara F. Heuberger ◽  
Praveen K. Bains ◽  
Niall Mac Dowell
Keyword(s):  
Power System ◽  
Electric Vehicle ◽  
System A ◽  
Optimisation Model ◽  
Spatio Temporal ◽  
The Impact

The impact of electric vehicle charging schemes in power system expansion planning

2020 ◽  
Vol 262 ◽  
pp. 114527 ◽  
Author(s):  
Francisco Manríquez ◽  
Enzo Sauma ◽  
José Aguado ◽  
Sebastián de la Torre ◽  
Javier Contreras
Keyword(s):  
Power System ◽  
Electric Vehicle ◽  
System Expansion ◽  
Expansion Planning ◽  
Electric Vehicle Charging ◽  
Vehicle Charging ◽  
The Impact

Commercial Impact and Optimum Capacity Determination of Pumped Storage Hydro Plant for a Practical Power System

2013 ◽  
Vol 14 (3) ◽  
pp. 245-254
Author(s):  
P.G. Latha ◽  
S.R. Anand ◽  
Ahamed T.P. Imthias ◽  
Dr. P.S. Sreejith
Keyword(s):  
Power System ◽  
Point Of View ◽  
System A ◽  
Storage Scheme ◽  
Pumped Storage ◽  
Algebraic Modeling Language ◽  
The Many ◽  
Duration Of Operation ◽  
The Impact ◽  
Optimum Capacity

Abstract This paper attempts to study the commercial impact of pumped storage hydro plant on the operation of a stressed power system. The paper further attempts to compute the optimum capacity of the pumped storage scheme that can be provided on commercial basis for a practical power system. Unlike the analysis of commercial aspects of pumped storage scheme attempted in several papers, this paper is presented from the point of view of power system management of a practical system considering the impact of the scheme on the economic operation of the system. A realistic case study is presented as the many factors that influence the pumped storage operation vary widely from one system to another. The suitability of pumped storage for the particular generation mix of a system is well explored in the paper. To substantiate the economic impact of pumped storage on the system, the problem is formulated as a short-term hydrothermal scheduling problem involving power purchase which optimizes the quantum of power to be scheduled and the duration of operation. The optimization model is formulated using an algebraic modeling language, AMPL, which is then solved using the advanced MILP solver CPLEX.

scholarly journals Electric Vehicle Ultra-Fast Battery Chargers: A Boost for Power System Stability?

2021 ◽  
Vol 12 (1) ◽  
pp. 16
Author(s):  
Fabio Mandrile ◽  
Davide Cittanti ◽  
Vincenzo Mallemaci ◽  
Radu Bojoi
Keyword(s):  
Power System ◽  
Electric Vehicle ◽  
Reactive Power ◽  
Short Circuit ◽  
Electric Power System ◽  
System Stability ◽  
High Peak Power ◽  
Charging Station ◽  
Fast Charging ◽  
The Impact

As a consequence of the exponential growth of the electric vehicle (EV) market, DC fast-charging infrastructure is being rapidly deployed all around the world. Ultra-fast charging (UFC) stations are starting to pose serious challenges to the electric power system operation, mostly due to their high peak power demand and unregulated discontinuous operation. To address these issues, local energy storage can be installed, ensuring a smoother grid power absorption profile and allowing to provide grid-supporting features. In this work, a control solution for the grid-side AC/DC converter of next-generation EV UFC stations is proposed. A virtual synchronous compensator (VSC) control algorithm is implemented, in order to lessen the impact of the charging station on the utility and to provide the full spectrum of grid ancillary services (i.e., frequency regulation, reactive power compensation, harmonic reduction, short circuit current generation, etc.). The proposed control strategy is verified experimentally on a downscaled 15 kVA three-phase inverter, emulating the grid front-end of the charging station.

Research of the Adaptation of Turbine Model Related to the Grid

2014 ◽  
Vol 960-961 ◽  
pp. 1437-1441
Author(s):  
Ge Jin ◽  
Shu Chang Liu ◽  
Yu Jia Ma
Keyword(s):  
Power System ◽  
Rapid Development ◽  
System Stability ◽  
System A ◽  
The Stability ◽  
Turbine Speed ◽  
The Impact ◽  
Safety And Stability ◽  
Important Basis ◽  
Turbine Model

With the rapid development of China's interconnected power grid, power system operation environment has become increasingly complex. The safety and stability of the power system requirements are also increasing. Turbine is an important basis for the analysis of power system stability. This paper studied the influence of turbine parameters related to network on the stability of the grid from the perspective of the frequency domain, and obtained the impact properties of turbine speed control system parameters related to different oscillation frequency of the power system. The conclusions are validated from time domain. So that when analyzing the stability of the power system, a more targeted turbine model according to different research purposes can be chosen because the parameters’ importance can show the necessity of the modules.

scholarly journals Optimal Fleet Deployment Strategy: Model the Effect of Shared E-Bikes on Bike-Sharing System

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Siying Zhu
Keyword(s):  
Demand Uncertainty ◽  
Fleet Size ◽  
Deployment Strategy ◽  
System A ◽  
Strategy Model ◽  
Trip Distance ◽  
Bike Sharing ◽  
Optimisation Model ◽  
The Impact ◽  
Fleet Deployment

Following the bike-sharing system, the shared e-bike becomes increasingly popular due to the advantage in speed, trip distance, and so forth. However, limited research has investigated the impact of the introduction of shared e-bikes on the existing bike-sharing systems. This paper aims to study the effect of shared e-bikes on the traditional bike-sharing system and determine the optimal fleet deployment strategy under a bimodal transportation system. A stochastic multiperiod optimisation model is formulated to capture the demand uncertainty of travelers. The branch-and-bound algorithm is applied to solve problem. A 15-station numerical example is applied to examine the validity of the model and the effectiveness of the solution algorithm. The performance of integrated e-bike and bike-sharing system has been compared with the traditional bike-sharing system. The impacts of the charging efficiency, fleet size, and pricing strategy of e-bike-sharing system on the traditional bike-sharing system have been examined.

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