2023 International Conference on Future Energy Solutions (FES)最新文献_第8页

Assessing the Potential of Green Hydrogen in Decarbonizing Off-Grid Amazonian Communities 评估绿色氢在亚马逊离网社区脱碳中的潜力

2023 International Conference on Future Energy Solutions (FES) Pub Date : 2023-06-12 DOI: 10.1109/FES57669.2023.10182925

Aline Kirsten Vidal de Oliveira, Kevin Luiz Rocha de Azevedo, Daniel Odilio Dos Santos, M. Aghaei, R. Rüther, Riley Orabona, H. Naspolini

引用次数: 0

Decoupling Based Customer Baseline Load Estimation Method Considering Cross Effects of Composite Demand Response Programs 考虑复合需求响应方案交叉效应的解耦客户基线负荷估计方法

2023 International Conference on Future Energy Solutions (FES) Pub Date : 2023-06-12 DOI: 10.1109/FES57669.2023.10182688

Lishan Ma, Chaoxia Sun, Shengqiang Gao, Yingshan Wang, X. Ge, Fei Wang

{"title":"Decoupling Based Customer Baseline Load Estimation Method Considering Cross Effects of Composite Demand Response Programs","authors":"Lishan Ma, Chaoxia Sun, Shengqiang Gao, Yingshan Wang, X. Ge, Fei Wang","doi":"10.1109/FES57669.2023.10182688","DOIUrl":"https://doi.org/10.1109/FES57669.2023.10182688","url":null,"abstract":"As the basis of incentive-based demand response (DR) settlement, accuracy customer baseline load (CBL) estimation is crucial. As the marketization process advances, there are cases where users participate in both price-based DR and incentive-based DR at the same time. Two types of demand response are coupled together, making it difficult for existing CBL estimation methods to accurately extract load characteristics. If the additional factors introduced by composite DR are not taken into account, using traditional methods for estimating CBL will result in significant deviations. Therefore, this paper reveals the mechanism of error generation in existing estimation methods. And based on consumer psychology, this paper proposes a CBL estimation method that decouples the user’s historical load pattern and the impact of electricity prices on the load. In order to make a preliminary estimation of the CBL, this method first constructs a load dataset without considering the impact of electricity prices. Then, based on consumer psychology demand response models, it calculates the load changes caused by price-based DR. Finally, it combines the two to obtain the final CBL estimation results. Simulation experiments show that the proposed method can obtain accurate estimation results under composite DR.","PeriodicalId":165790,"journal":{"name":"2023 International Conference on Future Energy Solutions (FES)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122935378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Considerations of the Limitations of RES hosting capacity at the Transmission System Level 传输系统级RES主机容量限制的考虑

2023 International Conference on Future Energy Solutions (FES) Pub Date : 2023-06-12 DOI: 10.1109/FES57669.2023.10182726

Eugenia Kritikou, A. Paspatis, N. Hatziargyriou, E. Karapidakis

引用次数: 0

Analysis and Evaluation Characteristics for Li-ion battery with impacts of ambient temperature on Pure Electric Vehicle 环境温度对纯电动汽车锂离子电池特性的影响分析与评价

2023 International Conference on Future Energy Solutions (FES) Pub Date : 2023-06-12 DOI: 10.1109/FES57669.2023.10183304

Pankhuri Kaushik, Manjeet Singh

{"title":"Analysis and Evaluation Characteristics for Li-ion battery with impacts of ambient temperature on Pure Electric Vehicle","authors":"Pankhuri Kaushik, Manjeet Singh","doi":"10.1109/FES57669.2023.10183304","DOIUrl":"https://doi.org/10.1109/FES57669.2023.10183304","url":null,"abstract":"The automotive sector has shifted towards Electrically Powered Vehicles due to the increase in energy demand, the gradual limiting of fossil fuels, and environmental issues. The Efficiency of traction of battery packs affects the performance and range of EVs. Temperature significantly affects the rate of Lithium-ion battery deterioration as well as the performance of the chemical reaction that takes place inside the battery which impacts the overall performance of the vehicle. The internal temperature of the battery leads to the dropdown of resistance which cause lots of heat generation. In the same way, external temperature i.e., ambient temperature also impacts the performance of the battery. An optimal temperature range is required for the better performance of the vehicles. In battery electric vehicles, there is a sharp decrease in driving range in cold conditions as compared to combustion engines, which is the drawback of battery electric vehicles. This paper includes the analysis of Li-ion battery characteristics under different conditions by using the UDDS drive cycle and an analysis of ambient temperature impacts on EV’s range in automotive vehicle operation.","PeriodicalId":165790,"journal":{"name":"2023 International Conference on Future Energy Solutions (FES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129594503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Smart Step-by-Step Method for Fault Detection and Severity Assessment in Photovoltaic Arrays 光伏阵列故障检测与严重程度评估的智能分步方法

2023 International Conference on Future Energy Solutions (FES) Pub Date : 2023-06-12 DOI: 10.1109/FES57669.2023.10183085

Amir Nedaei, A. Eskandari, J. Milimonfared, B. Dimd, U. Cali, M. Aghaei

引用次数: 0

Overload Mitigation in Electric Vehicle Smart Charging Algorithms Using Photovoltaic Generation Forecasting 基于光伏发电预测的电动汽车智能充电算法过载缓解

2023 International Conference on Future Energy Solutions (FES) Pub Date : 2023-06-12 DOI: 10.1109/FES57669.2023.10183001

Lucas Zenichi Terada, Juan C. Cortez, J. López, J. Soares, Z. Vale, M. J. Rider

{"title":"Overload Mitigation in Electric Vehicle Smart Charging Algorithms Using Photovoltaic Generation Forecasting","authors":"Lucas Zenichi Terada, Juan C. Cortez, J. López, J. Soares, Z. Vale, M. J. Rider","doi":"10.1109/FES57669.2023.10183001","DOIUrl":"https://doi.org/10.1109/FES57669.2023.10183001","url":null,"abstract":"Recently, the growing use of electric vehicles (EVs) and distributed energy resources (DERs) has brought about the emergence of new stakeholders in the public EV charging market. This has resulted in a need for innovative techniques in electric vehicle smart charging (EVSC) to lower charging costs and optimize renewable energy sources (RES) usage. However, an unsupervised EVSC system may experience overloads or violations of the maximum power defined by the charging point operator (CPO) due to fluctuations in photovoltaic (PV) generation. To address this issue, this study proposes a heuristic method to prevent overloads in the electric vehicle aggregated system (EVAS), considering various 15-minute interval PV generation prediction methods. Specifically, this research compares the effectiveness of different prediction models, such as ARIMA, LSTM, and CNN-LSTM, in minimizing overloads during a 4-week evaluation period. The study’s outcomes are expected to offer valuable insights into creating more efficient and reliable EVSC systems. Both Machine Learning (ML) methods succeeded in reducing the occurrences of overloads by approximately 50%. However, ARIMA method yielded even more impressive results, reducing the occurrence of violations by approximately 87%.","PeriodicalId":165790,"journal":{"name":"2023 International Conference on Future Energy Solutions (FES)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128258281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Impact of Voltage Violation Penalty Cost on Distribution System Operation Considering Electric Vehicle 考虑电动汽车的电压违章处罚成本对配电系统运行的影响

2023 International Conference on Future Energy Solutions (FES) Pub Date : 2023-06-12 DOI: 10.1109/FES57669.2023.10182657

M. Ebrahimi, M. Ebrahimi, H. Laaksonen, M. Shafie‐khah

引用次数: 0

Modeling A Notional Carbon-Free Power Grid with 24-hour Dispatch and Power Flow 具有24小时调度和潮流的无碳电网模型

2023 International Conference on Future Energy Solutions (FES) Pub Date : 2023-06-12 DOI: 10.1109/FES57669.2023.10183308

Hongyu Li, M. Bennett, Jinning Wang, S.N. Okhuegbe, Adedasola A. Ademola, Khaled Alshuaibi, Chang Chen, Xinlan Jia, Min Lin, Waleed M. Albukhari, Yuqing Dong, Yilu Liu

{"title":"Modeling A Notional Carbon-Free Power Grid with 24-hour Dispatch and Power Flow","authors":"Hongyu Li, M. Bennett, Jinning Wang, S.N. Okhuegbe, Adedasola A. Ademola, Khaled Alshuaibi, Chang Chen, Xinlan Jia, Min Lin, Waleed M. Albukhari, Yuqing Dong, Yilu Liu","doi":"10.1109/FES57669.2023.10183308","DOIUrl":"https://doi.org/10.1109/FES57669.2023.10183308","url":null,"abstract":"This paper proposes methods of DC and AC power flow development and the battery configuration for a notional carbon-free power grid. Facing climate change, many governments are seeking carbon-free generation technologies, so there is a great need for carbon-free grid modeling. In this paper, a public synthetic ERCOT model is used as a base case. Also, the actual renewable generation and load profiles in a summer heavy load day from EIA are utilized in the modeling. First, all loads are scaled to project the actual EIA load profile. Second, all fossil-fuel generators in the base case are replaced by the combinations of renewables and batteries, while hydro and nuclear remain unchanged. Third, the PV and wind power are scaled according to the actual EIA generation profile, with the consideration of battery energy balance and reasonable PV/capacity ratio in the future. Finally, AC power flow results of the developed dispatches are obtained by PSS/E. Meanwhile, necessary battery capacity and initial SoC are estimated based on the dispatches. Even though achieving carbon-free power grid is very challenging, the developed cases in this paper can provide insights for the related research. Also, the methods to develop dispatches and conFigure batteries can benefit the researchers who need to build the carbon-free model in a different grid.","PeriodicalId":165790,"journal":{"name":"2023 International Conference on Future Energy Solutions (FES)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121398305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Load Factor Improvement on Clustered Load Demand for Reducing Electrical Cost: A Case Study at Bangkhen Water Treatment Plant 提高集群负荷需求的负荷系数以降低电力成本——以曼谷水处理厂为例

2023 International Conference on Future Energy Solutions (FES) Pub Date : 2023-06-12 DOI: 10.1109/FES57669.2023.10183115

Soraphon Kigsirisin, O. Noohawm

引用次数: 0

Flatness-based control in successive loops for VSI-fed induction motors 基于平面度的vsi馈电异步电机连续回路控制

2023 International Conference on Future Energy Solutions (FES) Pub Date : 2023-06-12 DOI: 10.1109/FES57669.2023.10183242

G. Rigatos, P. Siano, M. Al-Numay, M. Abbaszadeh

{"title":"Flatness-based control in successive loops for VSI-fed induction motors","authors":"G. Rigatos, P. Siano, M. Al-Numay, M. Abbaszadeh","doi":"10.1109/FES57669.2023.10183242","DOIUrl":"https://doi.org/10.1109/FES57669.2023.10183242","url":null,"abstract":"The control problem for the nonlinear dynamics of Voltage Source Inverter-fed asynchronous motors is solved with the use of a flatness-based control approach which is implemented in successive loops. The state-space model of these systems is separated into a series of subsystems, which are connected between them in cascading loops. Each one of these subsystems can be viewed independently as a differentially flat system and control about it can be performed with inversion of its dynamics as in the case of input-output linearized flat systems. In this chain of i=1,2$,ldots$,N subsystems, the state variables of the subsequent (i+1-th) subsystem become virtual control inputs for the preceding (i-th) subsystem, and so on. In turn, exogenous control inputs are applied to the last subsystem and are computed by tracing backwards the virtual control inputs of the preceding N-1 subsystems. The whole control method is implemented in successive loops and its global stability properties are also proven through Lyapunov stability analysis. The validity of the control method is confirmed in case of a Voltage Source Inverter-fed Induction Motor (VSI-fed IM). The article’s results can be used in electric vehicles and their electric traction systems which often comprise inverter controlled three-phase motors.","PeriodicalId":165790,"journal":{"name":"2023 International Conference on Future Energy Solutions (FES)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133351624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0