scholarly journals Optimization of Electric Vehicle Charging Scheduling in Urban Village Networks Considering Energy Arbitrage and Distribution Cost

Energies ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 349 ◽  
Author(s):  
Chitchai Srithapon ◽  
Prasanta Ghosh ◽  
Apirat Siritaratiwat ◽  
Rongrit Chatthaworn
Keyword(s):  
Distribution System ◽  
Power Loss ◽  
Combustion Engine ◽  
Distribution Network ◽  
Peak Load ◽  
Study Data ◽  
Penalty Cost ◽  
Urban Village ◽  
Electric Vehicle Charging ◽  
Ev Charging

Electric vehicles (EV) replacing the internal combustion engine vehicle may be the solution for the particulate matter (PM) 2.5 pollution issue. However, the uncontrolled charging of EVs would challenge the power system operation. Therefore, it is necessary to implement some level of control over the EV charging procedure, especially in the residential network. In this paper, an optimization of EVs charging scheduling considering energy arbitrage and the distribution network cost of an urban village environment is presented. The optimized strategy focuses on decreasing the loss of EV owners’ energy arbitrage benefit, introduced as the penalty cost. Also, peak demand, power loss, and transformer aging are included in the estimation of the cost function for the distribution network. The optimization problem is solved using the genetic algorithm. As a case study, data from the urban village in Udon Thani, Thailand, are utilized to demonstrate the applicability of the proposed method. Simulation results show a reduction in the loss of energy arbitrage benefit, transformer peak load, power loss and the transformer loss of life. Therefore, the application of the optimized EV charging can prolong transformer lifetime benefiting both the EV owner and the distribution system operator.

scholarly journals Optimal Distribution Grid Operation Using DLMP-Based Pricing for Electric Vehicle Charging Infrastructure in a Smart City

Energies ◽  
2019 ◽  
Vol 12 (4) ◽  
pp. 686 ◽  
Author(s):  
Bruno Canizes ◽  
João Soares ◽  
Zita Vale ◽  
Juan Corchado
Keyword(s):  
Dynamic Pricing ◽  
Distribution System ◽  
Smart City ◽  
User Behavior ◽  
Distribution Grid ◽  
Charging Infrastructure ◽  
Energy Pricing ◽  
Electric Vehicle Charging ◽  
The Impact ◽  
Ev Charging

The use of electric vehicles (EVs) is growing in popularity each year, and as a result, considerable demand increase is expected in the distribution network (DN). Additionally, the uncertainty of EV user behavior is high, making it urgent to understand its impact on the network. Thus, this paper proposes an EV user behavior simulator, which operates in conjunction with an innovative smart distribution locational marginal pricing based on operation/reconfiguration, for the purpose of understanding the impact of the dynamic energy pricing on both sides: the grid and the user. The main goal, besides the distribution system operator (DSO) expenditure minimization, is to understand how and to what extent dynamic pricing of energy for EV charging can positively affect the operation of the smart grid and the EV charging cost. A smart city with a 13-bus DN and a high penetration of distributed energy resources is used to demonstrate the application of the proposed models. The results demonstrate that dynamic energy pricing for EV charging is an efficient approach that increases monetary savings considerably for both the DSO and EV users.

scholarly journals An Insight into Practical Solutions for Electric Vehicle Charging in Smart Grid

Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1545 ◽  
Author(s):  
Sara Deilami ◽  
S. M. Muyeen
Keyword(s):  
Smart Grid ◽  
Power System ◽  
Distribution System ◽  
Large Scale ◽  
Low Voltage ◽  
Co2 Reduction ◽  
Renewable Energy Resources ◽  
Smart Power ◽  
Electric Vehicle Charging ◽  
Ev Charging

The electrification of transportation has been developed to support energy efficiency and CO2 reduction. As a result, electric vehicles (EVs) have become more popular in the current transport system to create more efficient energy. In recent years, this increase in EVs as well as renewable energy resources (RERs) has led to a major issue for power system networks. This paper studies electrical vehicles (EVs) and their applications in the smart grid and provides practical solutions for EV charging strategies in a smart power system to overcome the issues associated with large-scale EV penetrations. The research first reviews the EV battery infrastructure and charging strategies and introduces the main impacts of uncontrolled charging on the power grid. Then, it provides a practical overview of the existing and future solutions to manage the large-scale integration of EVs into the network. The simulation results for two controlled strategies of maximum sensitivity selection (MSS) and genetic algorithm (GA) optimization are presented and reviewed. A comparative analysis was performed to prove the application and validity of the solution approaches. This also helps researchers with the application of the optimization approaches on EV charging strategies. These two algorithms were implemented on a modified IEEE 23 kV medium voltage distribution system with switched shunt capacitors (SSCs) and a low voltage residential network, including EVs and nonlinear EV battery chargers.

Optimal Daily Configuration of a Distribution Network Based on Photovoltaic Generation and System Loading Using Imperialist Competitive Algorithm and Selection Approach

2015 ◽  
Vol 785 ◽  
pp. 541-545 ◽  
Author(s):  
K.G. Ing ◽  
Hazlie Mokhlis ◽  
Hazlee Azil Illias ◽  
Jasrul Jamani Jamian ◽  
Muhammad Mohsin Aman
Keyword(s):  
Distribution System ◽  
Power Loss ◽  
Distribution Network ◽  
Imperialist Competitive Algorithm ◽  
Test System ◽  
Photovoltaic Generation ◽  
Competitive Algorithm ◽  
Selective Approach ◽  
Selection Approach ◽  
Pv Generation

This paper presents a new method to determine the best configuration for a distribution system for a day considering Photovoltaic (PV) generation and load profile. In the first part, the hourly optimal configuration for a day is obtained by using Imperialist Competitive Algorithm (ICA) and in second part; a selective approach based on minimum total daily power loss is used to select the optimal daily configuration. The proposed method is validated on IEEE 33 bus test system.

Reactive Power Compensation of Distribution Network Based on Bacterial Colony Chemotaxis Algorithm

2011 ◽  
Vol 130-134 ◽  
pp. 2948-2952
Author(s):  
Hong Liang Wang ◽  
Lin Chuan Li
Keyword(s):  
Distribution System ◽  
Power Loss ◽  
Reactive Power ◽  
Distribution Network ◽  
Reactive Power Compensation ◽  
Heavy Load ◽  
Bacterial Colony ◽  
Operation Conditions ◽  
Fixed Part ◽  
Compensation Device

Reactive power compensation of distribution network is an important method to improve power quality and voltage stability, while reducing the power loss of the distribution network. In this paper the objective function is built to minimize all the costs which include power loss costs and investment of the dynamic reactive power compensation device divided into each year. The actual operation of the distribution network is simulated considering light, normal and heavy load operation conditions. Bacterial colony chemotaxis (BCC) algorithm is used to determine which nodes to install the compensation devices. The calculation of reactive power compensation is done with the back/forward sweep algorithm adapting to the radial distribution system. In order to compensate three different load conditions separately, the fixed part and the switching part of the dynamic reactive power compensation device are used. This method applies to 28-node system, the result demonstrates that the method is feasible and effective.

scholarly journals Optimal Placement and Sizing of Distributed Generation in Distribution System using Analytical Method

2019 ◽  
Vol 8 (4) ◽  
pp. 6357-6363
Keyword(s):  
Distributed Generation ◽  
Distribution System ◽  
Power Loss ◽  
Distribution Network ◽  
Optimal Placement ◽  
Small Scale ◽  
Voltage Profile ◽  
Distribution Grid ◽  
Step Size ◽  
System Power

The reliability of distribution network can be improved with the penetration of small scale distributed generation (DG) unit to the distribution grid. Nevertheless, the location and sizing of the DG in the distribution network have always become a topic of debate. This problem arises as different capacity of DG at various location can affect the performance of the entire system. The main objective of this study is to recommend a suitable size of DG to be placed at the most appropriate location for better voltage profile and minimum power loss. Therefore, this paper presents an analytical approach with a fixed DG step size of 500 kW up to 4500 kW DG to analyses the effect of a single P-type DG in IEEE 33 bus system with consideration of system power loss and voltage profile. Four scenarios have been selected for discussions where Scenario 1: 3500 kW DG placed at node 3; Scenario 2: 2500 kW DG placed at node 6; Scenario 3: 1000 kW DG placed at node 18 and Scenario 4: 3000 kW DG placed at node 7. Results show that all the four scenarios are able to reduce the power loss and improve the voltage profile however Scenario 4 has better performance where it complies with minimum voltage requirement and minimizing the system power loss.

scholarly journals Investigation of THD Analysis in Residential Distribution Systems with Different Penetration Levels of Electric Vehicles

2018 ◽  
Vol 9 (1) ◽  
pp. 21-27
Author(s):  
Jayababu Badugu ◽  
Y.P. Obulesu ◽  
Ch. Sai Babu
Keyword(s):  
Electric Vehicles ◽  
Distribution System ◽  
Distribution Systems ◽  
Harmonic Distortion ◽  
Voltage Distortion ◽  
Electric Vehicle Charging ◽  
Private And Public ◽  
Residential Distribution ◽  
Charging Stations ◽  
Ev Charging

Electric Vehicles (EVs) are becoming a viable transportation option because they are environmentally friendly and provide solutions to high oil prices. This paper investigates the impacts of electric vehicles on harmonic distortions in urban radial residential distribution systems. The accomplishment of EV innovation relies on the accessibility of EV charging stations. To meet the power demand of growing EVs, utilities are introducing EV charging stations in private and public areas; this led to a change in the residential distribution system infrastructure. In this paper, an urban radial residential distribution system with the integration of an electric vehicle charging facility is considered for investigation. An impact of different EV penetration levels on voltage distortion is analysed. Different penetration levels of EVs into the residential distribution system are considered. Simulation results are presented to validate the work carried out in this paper. An attempt has been made to establish the relationship between the level of penetration of the EVs and voltage distortion in terms of THD (Total Harmonic Distortion)

scholarly journals Management of Voltage Profile and Power Loss Minimization in a Grid-Connected Microgrid System Using Fuzzy-Based STATCOM Controller

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Mezigebu Getinet Yenealem ◽  
Livingstone M. H. Ngoo ◽  
Dereje Shiferaw ◽  
Peterson Hinga
Keyword(s):  
Distribution System ◽  
Power Loss ◽  
Power Flow ◽  
Fossil Fuels ◽  
Distribution Network ◽  
Voltage Profile ◽  
Static Synchronous Compensator ◽  
Voltage Unbalance ◽  
Load Demand ◽  
Power Loss Reduction

The expansion of renewable energy is continuing powerfully. Electrical system ought to transmit power with diminished loss, improved power quality, and reliability while pleasing the need of customer’s load demand. Nevertheless, owing to the exhaustion of fossil fuels and their environmental impact, the availability of quality, stable, and reliable power in developing countries is worrying. Integrating a solar-wind based microgrid to the distribution network is the more feasible and best alternative solution to gratify the customer intensifying power demand while seeing the strict environmental regulations of generating power. However, the microgrid system connected in a distribution network has diverse problems and challenges. The problems comprise the development of voltage sag and swell, voltage unbalance, and power losses because of the intermittent nature of PV and wind resources. The objective of this study is to integrate microgrid system with STATCOM (static synchronous compensator) controller to ensure the higher power flow with enhanced voltage profile and reduced power loss. MATLAB/PSAT is used to model microgrid and STATCOM controller connected to the grid. Proportional integral (PI) and fuzzy logic controllers (FLC) are also applied to control the STATCOM. The effectiveness of STATCOM with microgrid integration is tested by connecting to the main distribution system using standard IEEE 30-bus system. Finally, it was observed that STATCOM raises the capacity of the distribution line and contributes to voltage profile improvements and power loss reduction.

The Construction and the Management of Electric Vehicle Charging Network

2011 ◽  
Vol 128-129 ◽  
pp. 1093-1096
Author(s):  
Xiang Fu ◽  
Jia Yao
Keyword(s):  
Electric Vehicle ◽  
Large Scale ◽  
Peak Load ◽  
Network Planning ◽  
Network Construction ◽  
Station Network ◽  
Charging System ◽  
Electric Vehicle Charging ◽  
Ev Charging

Firstly, this paper proposed that charging network for Electric Vehicle (EV) should be consisted of the special motorcade charging system and general charging system mainly, and the emergency charging system auxiliary. This paper put forward the suggestions that EV charging network construction should carry on with EV development synchronization, give full play to advantages of dispersion charging, charging avoiding peak load and charge in valley load, instead of laying a large-scale charge-station network. Secondly, this paper discussed the construction and the management of charging network, focused on the network planning, charging standards, and the role of power enterprises. Finally, the pattern of charging operation and the management is chosen, three kinds of patterns are proposed to different periods and users, the centralism charging management pattern, the dispersion charging and centralism maintenance pattern, as well as the battery renting pattern.

scholarly journals Multi-Objective Planning for Optimal Allocation of DG and RPC Units in Radial Distribution System Using Genetic Algorithm

10.29007/bngk ◽  
2018 ◽  
Author(s):  
Jaydeepsinh Sarvaiya ◽  
Mahipalsinh Chudasama
Keyword(s):  
Genetic Algorithm ◽  
Distribution System ◽  
Power Loss ◽  
Distribution Network ◽  
Cost Effective ◽  
Loss Reduction ◽  
Effective Solution ◽  
Radial Distribution System ◽  
Real Power ◽  
Power Loss Reduction

DG penetration is continuously increased across distribution network not only to reduce carbon emission, but also to enhance the performance of the distribution network. In a restructured environment any distribution utility need to address DG placement and sizing problem to find a cost effective solution for the specific investment. Most of the authors have attempted to solve the problem based on real power loss reduction across the network. Some authors consider voltage stability based analysis for increased loadability of network with real power loss. However, optimal reactive power compensation also need to be incorporated for a cost effective solution. In this paper an attempt has been made to address various types of DG and RPC units citing and sizing problem with multi-objectives consists real power loss reduction and VSI improvement. A new approach includes development of cost function to find cost-effective solution for distribution network. Evolutionary based Genetic Algorithm used to optimize the objective function. Proposed algorithm is tested onIEEE-33 bus radial distribution system.

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