The Impact of Electric Vehicles Fast Charging on the Grid Voltage and Current Fluctuations

2012 ◽  
Vol 229-231 ◽  
pp. 868-871
Author(s):  
Zhi Hui Li ◽  
Qing Zhi Jian ◽  
Hang Chen ◽  
Xue Long Du ◽  
Zhi Zhen Liu
Keyword(s):  
Electric Vehicles ◽  
Reactive Power ◽  
Power Grid ◽  
Regional Power ◽  
Load Curve ◽  
Large Power ◽  
Voltage Loss ◽  
Fast Charging ◽  
The Difference ◽  
The Impact

As the energy crisis becoming more and more serious, electric vehicles has become an important way to solve this problem. The difference of Popularity, type, charge time, charge style and charge characteristics of Electric vehicles make different effect on the Regional power grid, especially quick charge technology. In this paper, through the establishment of regional power grid model and the forecast of quick charge station load curve, we analysis the impact of charge station on voltage of the user side, furthermore, we analysis voltage loss and impulse current when the large power charger connected to the power grid, and verify the analysis by simulation. In order to reduce the impact on the grid, we should rationally plan the charge station and the reactive power compensation, thus enhance stability of power system.

Reactive Power Optimization Analysis of 35KV Regional Power Grid Based on the Genetic Algorithm

2014 ◽  
Vol 1055 ◽  
pp. 271-274 ◽  
Author(s):  
Pei Huang
Keyword(s):  
Genetic Algorithm ◽  
Reactive Power ◽  
Power Grid ◽  
Operational Mode ◽  
Reactive Power Optimization ◽  
Regional Power ◽  
Optimization Analysis ◽  
The Difference ◽  
Low Efficiency ◽  
Grid Based

As we know, the load of power grid keeps increasing in recent years, and the difference of power pink and trough is large. This situation causes the low efficiency of power consuming. In this paper, the integer coded genetic algorithm is used to carry on the reactive optimization of 35KV power gird, which includes operations of genetic algorithm, such as coding, selecting, crossing, and mutating. The genetic algorithm is illustrated in IEEE30 points system and the optimization of maximum operational mode, the results show that this method decreases the loss and ensure the qualified rate of voltages, realizing the optimization of the power gird.

scholarly journals Multiobjective Optimization regarding Vehicles and Power Grids

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Kaiyang Zhong ◽  
Ping Wang ◽  
Jiaming Pei ◽  
Jiyuan Xu ◽  
Zonglin Han ◽  
...  
Keyword(s):  
Multiobjective Optimization ◽  
Electric Vehicles ◽  
Power Grid ◽  
Real Life ◽  
Optimization Method ◽  
Power Grids ◽  
Load Curve ◽  
Before And After ◽  
Grid Operators ◽  
The Impact

Vehicle to Grid (V2G) refers to the optimal management of the charging and discharging behavior of electric vehicles through reasonable strategies and advanced communication. In the process of interaction, there are three stakeholders: the power grid, operators (charging stations), and EV users. In real life, the impact of peak-valley difference caused a lot of power loss when charging. At the same time, the loss of current is also a loss for power grid companies and EV users. In this paper, we propose a multiobjective optimization method to reduce the current loss and determine the relationship between the parameters and the objective function and constraints. This optimization method uses a genetic algorithm for multiobjective optimization. Through the analysis of the number of vehicles and load curve of AC class I and AC class II electric vehicles before and after optimization in each period, we found that the charging load of electric vehicles played a role of valley filling in the low valley price stage and played a peak-cutting role in a peak price period.

scholarly journals Optimal Pricing Strategy of Electric Vehicle Charging Station for Promoting Green Behavior Based on Time and Space Dimensions

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Xiaomin Xu ◽  
Dongxiao Niu ◽  
Yan Li ◽  
Lijie Sun
Keyword(s):  
Electric Vehicles ◽  
Optimization Problems ◽  
Power Grid ◽  
Economic Benefits ◽  
Pricing Strategy ◽  
Optimal Pricing ◽  
Electricity Pricing ◽  
Optimal Pricing Strategy ◽  
Charging Stations ◽  
The Impact

Considering that the charging behaviors of users of electric vehicles (EVs) (including charging time and charging location) are random and uncertain and that the disorderly charging of EVs brings new challenges to the power grid, this paper proposes an optimal electricity pricing strategy for EVs based on region division and time division. Firstly, by comparing the number of EVs and charging stations in different districts of a city, the demand ratio of charging stations per unit is calculated. Secondly, according to the demand price function and the principle of profit maximization, the charging price between different districts of a city is optimized to guide users to charge in districts with more abundant charging stations. Then, based on the results of the zonal pricing strategy, the time-of-use (TOU) pricing strategy in different districts is discussed. In the TOU pricing model, consumer satisfaction, the profit of power grid enterprises, and the load variance of the power grid are considered comprehensively. Taking the optimization of the comprehensive index as the objective function, the TOU pricing optimization model of EVs is constructed. Finally, the nondominated sorting genetic algorithm (NSGA-II) is introduced to solve the above optimization problems. The specific data of EVs in a municipality directly under the Central Government are taken as examples for this analysis. The empirical results demonstrate that the peak-to-valley ratio of a certain day in the city is reduced from 56.8% to 43% by using the optimal pricing strategy, which further smooth the load curve and alleviates the impact of load fluctuation. To a certain extent, the problem caused by the uneven distribution of electric vehicles and charging stations has been optimized. An orderly and reasonable electricity pricing strategy can guide users to adjust charging habits, to ensure grid security, and to ensure the economic benefits of all parties.

scholarly journals Research on the Application of Artificial Intelligence Technology in Power System Intelligent Dispatching Automation

2021 ◽  
Vol 2083 (4) ◽  
pp. 042047
Author(s):  
Hongying Liu
Keyword(s):  
Real Time ◽  
Reactive Power ◽  
Power Grid ◽  
Control Mode ◽  
Particle Swarm Algorithm ◽  
Automation System ◽  
Regional Power ◽  
Time Optimization ◽  
Optimization Control ◽  
Real Time Optimization

Abstract From the perspective of meeting the power quality requirements of users, the article analyses the characteristics of traditional voltage and reactive power control mode and the regional power grid reactive voltage optimization centralized closed-loop control mode (AVC system) based on the dispatch automation system (SCADA/EMS) from the perspective of technical management. Combining the reactive power/voltage real-time optimization control model, a real-time optimization control method of the regional power grid based on the improved differential evolution algorithm is proposed. The particle swarm algorithm is combined with the characteristics of reactive power/voltage control to improve the initial particle quality, reduce the optimization space, and introduce a crossover operator to improve the calculation speed and efficiency of the algorithm. Taking an actual regional power grid as an example, the simulation calculation of reactive power/voltage real-time optimization is carried out. The results show that the proposed algorithm and control strategy are feasible and effective.

Optimization of Voltage and Reactive Power in Regional Power Network Based on MCR

2014 ◽  
Vol 986-987 ◽  
pp. 394-399
Author(s):  
Xue Yong Xu ◽  
Pan Zhou ◽  
Qi Zhe Huang ◽  
Chun Ming Deng ◽  
Meng Meng Shi ◽  
...  
Keyword(s):  
Reactive Power ◽  
Power Transmission ◽  
Power Grid ◽  
Magnetic Control ◽  
Power Network ◽  
Regional Power ◽  
Immune Genetic Algorithm ◽  
Power Sources ◽  
Power Resources ◽  
Hierarchical Partition

Along with the increasing use of cables in power grid and the increasing ration of distributed power sources’ synchronization, such as small hydropower’s synchronization, increasing the reactive power transmission on the line, make it difficult to achieve the balance of reactive hierarchical partition. Take a certain region’s power grid for actual examples, after the installation of magnetic control reactor (MCR), using immune genetic algorithm (IGA) to coordinate the capacity of magnetic control reactor and the existing reactive power resources, the results show that the magnetic control reactor does much good to absorb the system’s excessive reactive power and limit the voltage’s increasing.

scholarly journals Research on the impact of different charge and discharge modes of electric vehicles on power grid load

2020 ◽  
Vol 1549 ◽  
pp. 042147
Author(s):  
Wen Wen ◽  
Lifang Wang ◽  
Mengdi Zhu ◽  
Zhou Peng ◽  
Fangling Yao
Keyword(s):  
Electric Vehicles ◽  
Power Grid ◽  
Grid Load ◽  
The Impact

Impact of Connecting Reactor on Stable Operation of Chain SVG Device

2014 ◽  
Vol 644-650 ◽  
pp. 794-797
Author(s):  
Zheng Dao Liu ◽  
De Sheng Xi ◽  
Qiang Liu ◽  
Lei Shi ◽  
Shu Han Wang ◽  
...  
Keyword(s):  
Electrical Property ◽  
Design Principle ◽  
Reactive Power ◽  
Power Grid ◽  
Stable Operation ◽  
Grid System ◽  
Reactive Compensation ◽  
Actual Operation ◽  
Design Requirements ◽  
The Impact

Chain SVG device is connected to the power grid via the reactor which is also referred to as connection reactor. Compared with other reactors of reactive compensation devices, It’s not like the serial filtering reactor which simply provides a specific quantity of inductive reactive power, or parallel phase control reactor which provides continuously adjustable inductive reactive power. The connection reactor in SVG is related to the impact of SVG on the power grid, the impact of the power grid system on SVG, and in particular, the compensation capacity and effect of SVG. Therefore, during design, requirements of SVG and electrical property of the compensated system should both be considered. In this paper, the impact of the connection reactor on SVG stable operation is analyzed in detail. The design principle that when choosing the reactor parameters, the impact on power unit DC side voltage should be prioritized is proposed, and simulation verification is conducted by using of PSCAD software. A reasonable reactor is selected for a 10kV SVG based on the conclusion. The actual operation result verifies the rationality of design.

Harmonic Analyses of Power Grid in Large-Capacity Groups of AC-DC-AC Frequency Speed Drag System

2013 ◽  
Vol 448-453 ◽  
pp. 1988-1993
Author(s):  
Ji Zhong Wang ◽  
Chao Nan Tong ◽  
Rui Li
Keyword(s):  
Power Supply ◽  
Pulse Width Modulation ◽  
Reactive Power ◽  
Power Grid ◽  
Harmonic Distortion ◽  
Power Load ◽  
Grid Side ◽  
Lc Filter ◽  
Harmonic Analyses ◽  
The Impact

Based on the synchronous machine in AC-DC-AC Frequency speed drag System, a new power supply method of phase shifting combination is proposed by a detailed study of the impact in the power grid harmonics. With regard to the main Motor drive system of hot-rolling finishing mills, a large number of varying parameters quantitative analysis is made respectively for power load, LC filter, pulse-width modulation circuit and transformer, in which the grid side harmonic rate and waveform distortion rate is focused on. The simulation results show that the power supply method with reasonable parameters design of the drag system can be drastically reduce the grid side harmonic interference that the total harmonic distortion is suppressed within 4.0%. Results of this study provides an effective method for the design of the factory drag system, reactive power compensation system as well as fault diagnosis of electric drag system.

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