scholarly journals The Coordinated Operation of Vertically Structured Power Systems for Electric Vehicle Charge Scheduling

Energies ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 27
Author(s):  
Yuana Adianto ◽  
Craig Baguley ◽  
Udaya Madawala ◽  
Nanang Hariyanto ◽  
Suwarno Suwarno ◽  
...  
Keyword(s):  
Power Systems ◽  
Electric Vehicle ◽  
Production Costs ◽  
Electricity Production ◽  
Scheduling Strategy ◽  
Study Results ◽  
Time Of Use Pricing ◽  
A Charge ◽  
Ev Charging

Charge scheduling can mitigate against issues arising from excessive electric vehicle (EV) charging loads and is commonly implemented using time-of-use pricing. A charge scheduling strategy to suit vertically structured power systems without relying on time-of-use pricing has not yet been reported, despite being needed by industry. Therefore, a novel charge scheduling strategy to meet this need is proposed in this paper. Key aspects include the provision of a decision-making framework that accommodates for the considerations of transmission and distribution network operators, and the allowance for dynamically changing charging loads through timely forecast updates with reduced communication requirements. A case study based on the Indonesian Java-Bali power system is undertaken to demonstrate the strategy’s effectiveness. Different and realistic EV uptake scenarios are considered, using probabilistic modeling, survey work, and a Monte Carlo modeling approach. Even under slow EV charging conditions case study results show assets are overloaded and high electricity production costs are incurred. These are alleviated through adopting the proposed strategy.

scholarly journals An Electric Vehicle Charge Scheduling Approach Suited to Local and Supplying Distribution Transformers

Energies ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 3486
Author(s):  
Teguh Kurniawan ◽  
Craig A. Baguley ◽  
Udaya K. Madawala ◽  
Suwarno Suwarno ◽  
Nanang Hariyanto ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Fuzzy Logic Controller ◽  
Peak Load ◽  
Distribution Networks ◽  
Centralized Control ◽  
Residential Areas ◽  
Distribution Transformers ◽  
Transformer Overloading ◽  
A Charge ◽  
Ev Charging

Distribution networks with high electric vehicle (EV) penetration levels can experience transformer overloading and voltage instability issues. A charge scheduling approach is proposed to mitigate against these issues that suits smart home settings in residential areas. It comprises measurement systems located at distribution transformers that communicate directly with fuzzy logic controller (FLC) systems embedded within EV supply equipment (EVSE). This realizes a reduction in data processing requirements compared to more centralized control approaches, which is advantageous for distribution networks with large numbers of transformers and EV scheduling requests. A case study employing the proposed approach is presented. Realistic driver behavior patterns, EV types, and multivariate probabilistic modeling were used to estimate EV charging demands, daily travel mileage, and plug-in times. A Monte Carlo simulation approach was developed to obtain EV charging loads. The effectiveness of mitigation in terms of reducing distribution transformer peak load levels and losses, as well as improving voltage stability is demonstrated for a distribution network in Jakarta, Indonesia.

scholarly journals Technical Economic Analysis of Photovoltaic-Powered Electric Vehicle Charging Stations under Different Solar Irradiation Conditions in Vietnam

2021 ◽  
Vol 13 (6) ◽  
pp. 3528
Author(s):  
Phap Vu Minh ◽  
Sang Le Quang ◽  
Manh-Hai Pham
Keyword(s):  
Electric Vehicle ◽  
Solar Power ◽  
Clean Energy ◽  
Optimal Configuration ◽  
Solar Irradiation ◽  
Investment Efficiency ◽  
Study Results ◽  
Utility Grid ◽  
Charging Stations ◽  
Ev Charging

At present, the electric vehicle (EV) market is developing strongly and widely across many countries around the world. Increasing clean energy infrastructure for EVs is a possible solution to reduce greenhouse gas emissions and help improve air quality in urban areas. Electric vehicles charged by electricity from photovoltaic (PV) systems can produce less emissions than conventional EVs charged by the utility grid. Thus, the combination of solar power and EV charging stations is one of the possible methods to achieve sustainable development in the current EV market. EVs in cities in Vietnam have developed very quickly in recent times, but the charging station infrastructure is still very limited, and most existing charging stations use electricity from the utility grid. In this paper, the optimal configuration of PV-powered EV charging stations is analyzed technically and economically under different solar irradiation conditions in Vietnam. The study results show that the optimal configuration and investment efficiency of PV-powered EV charging stations in each urban area are greatly affected by the solar irradiation value and feed-in tariff (FIT) price of rooftop solar power. In Vietnam, a region with high solar irradiation, such as Ho Chi Minh, is more likely to invest in PV-powered EV charging stations than other areas with lower solar irradiation, such as Hanoi.

scholarly journals Analyzing Electric Vehicle Load Impact on Power Systems: Modeling Analysis and a Case Study for Maldives

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
A. Suski ◽  
T. Remy ◽  
D. Chattopadhyay ◽  
C.S. Song ◽  
I. Jaques ◽  
...  
Keyword(s):  
Power Systems ◽  
Electric Vehicle ◽  
Systems Modeling ◽  
Vehicle Load ◽  
Modeling Analysis ◽  
Load Impact

scholarly journals From Firm Solar Power Forecasts to Firm Solar Power Generation: An Effective Path to Ultra-High Renewable Penetration - A New York Case Study

2020 ◽  
Author(s):  
Richard Perez ◽  
Marc Perez ◽  
Sergey Kivalov ◽  
James Schlemmer ◽  
John Dise ◽  
...  
Keyword(s):  
Power Generation ◽  
New York ◽  
Power Plants ◽  
Solar Power ◽  
Production Costs ◽  
Electricity Production ◽  
Prediction Errors ◽  
Firm Power ◽  
Solar Penetration

We introduce firm solar forecasts as a strategy to operate optimally overbuilt solar power plants in conjunction with optimally sized storage systems so as to make up for any power prediction errors, hence entirely remove load balancing uncertainty emanating from grid-connected solar fleets. A central part of this strategy is plant overbuilding that we term implicit storage. We show that strategy, while economically justifiable on its own account, is an effective entry step to least-cost ultra-high solar penetration where firm power generation will be a prerequisite. We demonstrate that in absence of an implicit storage strategy, ultra-high solar penetration would be vastly more expensive. Using the New York Independent System Operator (NYISO) as a case study, we determine current and future cost of firm forecasts for a comprehensive set of scenarios in each ISO electrical region, comparing centralized vs. decentralized production and assessing load flexibility’s impact. We simulate the growth of the strategy from firm forecast to firm power generation. We conclude that ultra-high solar penetration enabled by the present strategy, whereby solar would firmly supply the entire NYISO load, could be achieved locally at electricity production costs comparable to current NYISO wholesale market prices.

Case study: Paper mill power plant optimization—balancing steam venting with mill demand

TAPPI Journal ◽  
2020 ◽  
Vol 19 (6) ◽  
pp. 317-321
Author(s):  
RICARDO B. SANTOS ◽  
PETER W. HART
Keyword(s):  
Power Plant ◽  
Steam Turbine ◽  
Operating Cost ◽  
Production Costs ◽  
Electricity Production ◽  
Financial Benefit ◽  
Pressure Steam ◽  
Plant Optimization ◽  
Steam Production

Most Power departments are tasked with generating steam to support mill wide operations, gener-ate electricity, and reduce operating costs. To accomplish these tasks, power boilers generate high pressure steam that is reduced to intermediate and low pressures for process utilization in the mill by means of steam turbine generator extraction or pressure reducing valves. The most economical method to reduce steam pressure is the use of steam turbine generators, as electricity is generated from the steam when it is reduced in pressure. Electricity that is produced by these generators provides a substantial financial benefit and helps offset overall operational costs. To achieve tangible financial gains, the mill must evaluate the overall cost of steam production and the price of electricity. The current work provides a case study of power plant optimization that evaluated electricity production and steam production costs balanced with mill steam demand. Process and cost optimization led to a significant reduction in low pressure steam venting, resulting in reduced fuel consumption and reduced operating cost.

Study of the Active Power Filter for the Electric Vehicle Charging Stake

2014 ◽  
Vol 615 ◽  
pp. 48-51
Author(s):  
Chang Ping Wang ◽  
Shuo Zeng ◽  
Jie Liu
Keyword(s):  
Power Systems ◽  
Electric Vehicle ◽  
Reactive Power ◽  
Active Power Filter ◽  
Quality Standard ◽  
Active Power ◽  
Power Filter ◽  
Electric Vehicle Charging ◽  
Vehicle Charging ◽  
Ev Charging

The electric vehicle (EV) charging stake is widely used for recharging the electric car batteries. The charging stake generally adopts switching power supply technology. It will cause serious harmonic pollution to power systems and consume lots of reactive power. Therefore, this dissertation focuses on the active power filter (APF) for the EV charging stake. Firstly, the principle of the APF are briefly introduced. Secondly, the main design and the technical difficulties are illustrated in detail. The controller of the APF is based on the DSP and the model is TMS320F2812. At last, this study is simulated in Matlab and a prototype is constructed. The simulation and the experimental results prove that the APF can functions well for the electric vehicle charging stake. It has achieved the national power quality standard.

scholarly journals From Firm Solar Power Forecasts to Firm Solar Power Generation an Effective Path to Ultra-High Renewable Penetration a New York Case Study

Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4489
Author(s):  
Richard Perez ◽  
Marc Perez ◽  
James Schlemmer ◽  
John Dise ◽  
Thomas E. Hoff ◽  
...  
Keyword(s):  
Power Generation ◽  
New York ◽  
Power Plants ◽  
Solar Power ◽  
Production Costs ◽  
Electricity Production ◽  
Prediction Errors ◽  
Firm Power ◽  
Solar Penetration

We introduce firm solar forecasts as a strategy to operate optimally overbuilt solar power plants in conjunction with optimally sized storage systems so as to make up for any power prediction errors, and hence entirely remove load balancing uncertainty emanating from grid-connected solar fleets. A central part of this strategy is the plant overbuilding that we term implicit storage. We show that strategy, while economically justifiable on its own account, is an effective entry step to achieving least-cost ultra-high solar penetration where firm power generation will be a prerequisite. We demonstrate that in the absence of an implicit storage strategy, ultra-high solar penetration would be vastly more expensive. Using the New York Independent System Operator (NYISO) as a case study, we determine current and future costs of firm forecasts for a comprehensive set of scenarios in each ISO electrical region, comparing centralized vs. decentralized production and assessing load flexibility’s impact. We simulate the growth of the strategy from firm forecast to firm power generation. We conclude that ultra-high solar penetration enabled by the present strategy, whereby solar would firmly supply the entire NYISO load, could be achieved locally at electricity production costs comparable to current NYISO wholesale market prices.

scholarly journals Analyzing the Fast-Charging Potential for Electric Vehicles with Local Photovoltaic Power Production in French Suburban Highway Network

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2428
Author(s):  
Abood Mourad ◽  
Martin Hennebel ◽  
Ahmed Amrani ◽  
Amira Ben Hamida
Keyword(s):  
Electric Vehicles ◽  
Production Costs ◽  
Heavy Trucks ◽  
Fast Charging ◽  
Highway Network ◽  
Data Driven Approach ◽  
Charging Stations ◽  
Ev Charging ◽  
Charging Demand

The need for deploying fast-charging stations for electric vehicles (EVs) is becoming essential in recent years. This need is justified by the increasing charging demand and supported by new charging technologies making EV chargers more efficient. In this paper, we provide a survey on EV fast-charging models and introduce a data-driven approach with an optimization model for deploying EV fast-chargers for both electric vehicles and heavy trucks traveling through a network of suburban highways. This deployment aims at satisfying EV charging demands while respecting the limits imposed by the electric grid. We also consider the availability of local photovoltaic (PV) farm and integrate its produced power to the proposed charging network. Finally, through a case study on Paris-Saclay area, we provide locations for EV charging stations and analyze the benefits of integrating PV power at different prices, production costs and charging capacities. The obtained results also suggest potential enhancements to the charging network in order to accommodate the increasing charging demand for EVs in the future.

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