2023 International Conference on Future Energy Solutions (FES)最新文献_第4页

From energy flexibility to design choice 从能源灵活性到设计选择

2023 International Conference on Future Energy Solutions (FES) Pub Date : 2023-06-12 DOI: 10.1109/FES57669.2023.10182994

Isa Dols, Tadeo-Baldiri Salcedo-Rahola

引用次数: 0

Optimal Sizing of PV and Storage in Collective Self-Consumption Groups in Condominiums 公寓集体自用群中光伏和储能的最优规模

2023 International Conference on Future Energy Solutions (FES) Pub Date : 2023-06-12 DOI: 10.1109/FES57669.2023.10182815

R. Trevisan, S. Ruffini, E. Ghiani, Omar Caboni, Raphaelle Papa

引用次数: 0

Multi-Objective Distribution System Planning Considering Non-Utility-Owned Distributed Generation and CO2 Emissions Costs 考虑非公用事业分布式发电和CO2排放成本的多目标配电系统规划

2023 International Conference on Future Energy Solutions (FES) Pub Date : 2023-06-12 DOI: 10.1109/FES57669.2023.10183038

M. A. Mejia, J. Franco, Leonardo H. Macedo, G. Muñoz-Delgado, J. Contreras

{"title":"Multi-Objective Distribution System Planning Considering Non-Utility-Owned Distributed Generation and CO2 Emissions Costs","authors":"M. A. Mejia, J. Franco, Leonardo H. Macedo, G. Muñoz-Delgado, J. Contreras","doi":"10.1109/FES57669.2023.10183038","DOIUrl":"https://doi.org/10.1109/FES57669.2023.10183038","url":null,"abstract":"Distribution systems planning (DSP) has become increasingly challenging due to the growing adoption of renewable distributed generation (DG) aimed at reducing CO2 emissions, particularly when the utility does not own these units. Therefore, this paper proposes a multi-objective stochastic strategy for DSP that considers non-utility-owned renewable DG. Under this approach, the utility makes investment decisions for assets such as conductors and voltage control equipment. Furthermore, the utilization of a multi-objective approach enables a sensitivity analysis, which assists both the utility and DG owner in reaching a consensus on the type, size, and location of renewable DG units. The strategy proposes minimizing the net present value of the investment and operational costs for both parties, with the additional goal of reducing the cost of CO2 emissions from the network. A scenario-based stochastic programming framework is used to characterize the behavior of uncertain parameters. The model is written in the AMPL language and solved using the CPLEX solver. Tests are conducted using a 69-node system, revealing that the total costs for both parties vary depending on the size and location of the DG as well as the cost of energy sold from the DG to the network.","PeriodicalId":165790,"journal":{"name":"2023 International Conference on Future Energy Solutions (FES)","volume":"62 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":"123315899","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

Application Example of Environmental and Energy Cost-based Conductor Size Optimization (ECSO) in Major Factory Wiring 基于环境和能源成本的导体尺寸优化(ECSO)在大型工厂布线中的应用实例

2023 International Conference on Future Energy Solutions (FES) Pub Date : 2023-06-12 DOI: 10.1109/FES57669.2023.10182735

Daigo Yonetsu, Takeshi Yano, Kazuhiko Masuo

引用次数: 0

A Two-stage Short-term Load Forecasting Method Based on Comprehensive Similarity Day Selection and CEEMDAN-XGBoost Error Correction 基于综合相似日选择和CEEMDAN-XGBoost误差校正的两阶段短期负荷预测方法

2023 International Conference on Future Energy Solutions (FES) Pub Date : 2023-06-12 DOI: 10.1109/FES57669.2023.10183307

Shuya Lei, Xiao Liang, Xuwei Xia, Haonan Dai, Chenhao Zhang, X. Ge, Fei Wang

{"title":"A Two-stage Short-term Load Forecasting Method Based on Comprehensive Similarity Day Selection and CEEMDAN-XGBoost Error Correction","authors":"Shuya Lei, Xiao Liang, Xuwei Xia, Haonan Dai, Chenhao Zhang, X. Ge, Fei Wang","doi":"10.1109/FES57669.2023.10183307","DOIUrl":"https://doi.org/10.1109/FES57669.2023.10183307","url":null,"abstract":"The precise short-term load forecasting (STLF) represents a pivotal technology in maintaining the equilibrium between energy supply and demand, as well as enhancing the effectiveness of power system operations. And two key steps to accurately realize STLF process are the utilization of relevant historical data from similar days and the revision of forecasting errors. However, the current STLF methods solely rely on weather similarity as a parameter for identifying similar days, leading to imprecise outcomes when predicting loads that are less susceptible to weather-related variables. Furthermore, the existing error revising methods are insufficient in feature extraction of high frequency fluctuation error series, which limits the further improvement of accuracy. To this end, this paper proposed a two-stage STLF approach. Firstly, the concept of comprehensive similar day is constructed. Based on numerical weather prediction (NWP) and load sequential characteristics, the comprehensive similar day of the time period to be forecasted (TPF) are selected by morphological similar distance (MSD). Secondly, the load data of comprehensive similarity days will be input into long short-term memory (LSTM) as extra information to get preliminary load forecasting results. Finally, the error correction model based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and XGBoost is proposed for a further enhancement in accuracy. The validity of the proposed STLF method is verified by using the data set from Ausgrid in Sydney. Compared to directly using LSTM for prediction, the proposed method achieved 2.78% and 6.16% improvement in the accuracy of hour-ahead and day-ahead load forecasting.","PeriodicalId":165790,"journal":{"name":"2023 International Conference on Future Energy Solutions (FES)","volume":"310 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":"115027577","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 Brief Review on Optimal Network Planning Considering Energy Storage Systems and Uncertainty 考虑储能系统和不确定性的最优电网规划综述

2023 International Conference on Future Energy Solutions (FES) Pub Date : 2023-06-12 DOI: 10.1109/FES57669.2023.10182511

Fábio Castro, J. Soares, B. Canizes, Z. Vale

引用次数: 0

Research on topology optimization of high-voltage DC circuit breaker based on controllable capacitor oscillation 基于可控电容振荡的高压直流断路器拓扑优化研究

2023 International Conference on Future Energy Solutions (FES) Pub Date : 2023-06-12 DOI: 10.1109/FES57669.2023.10182899

Lufeng Ju, Rui Zhang, Yan Wen, Zhong Chen, Quan Chen, Jiazi Xu

{"title":"Research on topology optimization of high-voltage DC circuit breaker based on controllable capacitor oscillation","authors":"Lufeng Ju, Rui Zhang, Yan Wen, Zhong Chen, Quan Chen, Jiazi Xu","doi":"10.1109/FES57669.2023.10182899","DOIUrl":"https://doi.org/10.1109/FES57669.2023.10182899","url":null,"abstract":"HVDC circuit breakers are the core equipment for the reliable operation of VSC-HVDC. The controllable resonant DC circuit breaker amplifies the oscillating current through excitation capacitor oscillation and boost, quickly generating a current zero point, and achieving the transmission of fault current and circuit breaking. In this paper, controlled resonant DC circuit breaker with a half-bridge topology structure is first simulated. But this topology structure cannot generate a current crossing point when the oscillation frequency decreases, resulting in the mechanical switch cannot be broken. So, a DC circuit breaker with a full-bridge topology structure is proposed, and the simulation results show that the topology structure can make the oscillation current rises quickly. Compared with the half-bridge topology circuit, its current crossing zero point can be created when the oscillation frequency reduces. Finally, in order to verify the safety and reliability of the full-bridge topology, stress analysis is conducted on the full control device and diodes, which provides a basis for the safe and reliable operation and electrical structure design of the high-voltage DC circuit breaker.","PeriodicalId":165790,"journal":{"name":"2023 International Conference on Future Energy Solutions (FES)","volume":"2014 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":"128235594","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

Two-stage Joint Bidding and Pricing Optimization Strategy for Load Aggregators in Demand Response Market 需求响应市场下负荷聚合器两阶段联合竞价定价优化策略

2023 International Conference on Future Energy Solutions (FES) Pub Date : 2023-06-12 DOI: 10.1109/FES57669.2023.10182518

Xiongfei Li, Kangping Li, Chunyi Huang, Z. Zhen, Fei Wang

{"title":"Two-stage Joint Bidding and Pricing Optimization Strategy for Load Aggregators in Demand Response Market","authors":"Xiongfei Li, Kangping Li, Chunyi Huang, Z. Zhen, Fei Wang","doi":"10.1109/FES57669.2023.10182518","DOIUrl":"https://doi.org/10.1109/FES57669.2023.10182518","url":null,"abstract":"Load aggregators (LA) can incentivize residential consumers to participate in demand response programs and provide grid services through market-based transactions. However, existing researches on market bidding and pricing strategies for load aggregators are often performed separately without considering the coupling between them, which may lead to suboptimal profits. To address this issue, we propose a two-stage joint bidding and pricing strategy that takes into account the coupling relationship between bidding and pricing. In the first stage, a pricing plan is set to predict the response capacity of consumers and formulate a bidding strategy accordingly. In the second stage, the actual bidding results and market-clearing price are obtained, and the pricing plan is optimized accordingly. The proposed strategy is evaluated using real-world bidding data from the California DR market. The results show that the two-stage pricing strategy can significantly increase the profit of LAs compared to the traditional one-stage strategy. Additionally, we employ robust optimization to analyze uncertainty in the DR market. The proposed pricing strategy can provide valuable insights for LAs to participate in the DR market effectively and efficiently.","PeriodicalId":165790,"journal":{"name":"2023 International Conference on Future Energy Solutions (FES)","volume":"63 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":"133337213","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 New ZCS Turn On Single-Switch High Step-Up DC-DC Topology with Voltage Multiplier Cells 一种带有电压倍增单元的ZCS单开关高升压DC-DC拓扑

2023 International Conference on Future Energy Solutions (FES) Pub Date : 2023-06-12 DOI: 10.1109/FES57669.2023.10182955

Sohrab Abbasian, Mohammad Farsijani, Hikmat Basnet, T. Roinila, H. Hafezi

引用次数: 0

Household Electricity Cost Optimization with Vehicle-to-Home Technology and Mixed-Integer Linear Programming 基于车到家技术和混合整数线性规划的家庭用电成本优化

2023 International Conference on Future Energy Solutions (FES) Pub Date : 2023-06-12 DOI: 10.1109/FES57669.2023.10182713

Johannes Einolander, Annamari Kiviaho, R. Lahdelma

引用次数: 0