2020 IEEE Sustainable Power and Energy Conference (iSPEC)最新文献_第2页

The Active Distribution Network and DG Planning considering DR Under Dynamic Electricity Price Strategy 动态电价策略下考虑DR的主动配电网与DG规划

2020 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2020-11-23 DOI: 10.1109/iSPEC50848.2020.9350958

Jiakuan An, P. Sun, Xiaolin Tan, Chunguang He, Xiaoguang Qi, Hong Liu, Nan Zheng, Weiyu Li

{"title":"The Active Distribution Network and DG Planning considering DR Under Dynamic Electricity Price Strategy","authors":"Jiakuan An, P. Sun, Xiaolin Tan, Chunguang He, Xiaoguang Qi, Hong Liu, Nan Zheng, Weiyu Li","doi":"10.1109/iSPEC50848.2020.9350958","DOIUrl":"https://doi.org/10.1109/iSPEC50848.2020.9350958","url":null,"abstract":"Aiming at the problem that it is difficult to consider the interaction between distributed power sources and network structures of active power distribution systems in the process of collaborative planning, a mathematical model and solution algorithm considering the balance of multi-agent interests and alternate optimization of planning and operation are proposed. Firstly, a three-tier optimization framework and mathematical model are established that aim at the optimal cost-benefit of distributed power sources and distribution networks, and embedded demand response and operation strategies; secondly, a simplified network structure based on the principle of topology equivalence is proposed. Based on the method, combined with the in-depth analysis of the topological structure change characteristics during the grid generation process, a rapid generation method of single-contact network based on the breaking method is proposed, and the encoding/decoding scheme of the particle swarm optimization algorithm combined with it is formulated; again, Based on the characteristics of network load and user demand response willingness, the dynamic time-of-use electricity price optimization method and operation strategy of active distribution network are proposed, and the source network collaborative planning and solving process with built-in refined operation is established; finally, it is verified by an example The rationality and effectiveness of the method are described.","PeriodicalId":403879,"journal":{"name":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"151 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122427938","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: 1

Economic Feasibility Analysis of User-Side Battery Energy Storage Based on Three Electricity Price Policies 基于三种电价政策的用户侧电池储能经济可行性分析

2020 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2020-11-23 DOI: 10.1109/iSPEC50848.2020.9351149

Ning Wu, Jing Xiao, Yubin Feng, Haibo Bao, Rui Lin, Weidong Chen

{"title":"Economic Feasibility Analysis of User-Side Battery Energy Storage Based on Three Electricity Price Policies","authors":"Ning Wu, Jing Xiao, Yubin Feng, Haibo Bao, Rui Lin, Weidong Chen","doi":"10.1109/iSPEC50848.2020.9351149","DOIUrl":"https://doi.org/10.1109/iSPEC50848.2020.9351149","url":null,"abstract":"With the continuous development of energy Internet, the demand for distributed energy storage is increasing day by day. The high cost and unclear benefits of energy storage system are the main reasons affecting its large-scale application. Firstly, a general energy storage cost model is established to calculate and analyze the energy storage costs of three types of batteries. Then, the user side energy storage benefit sources are analyzed. Starting from the three modes of peak-valley arbitrage, maximum demand management and reactive power regulation service corresponding to time-of-use price, two-part price and reactive power price adjustment electricity charge, an optimization model of energy storage system operation considering optimized load characteristics is proposed. Taking the revenue maximization within the monthly scheduling cycle of the energy storage system as the objective function, the optimization of charging and discharging in each period of user side energy storage system is studied. Combined with the engineering practice, the hybrid integer linear programming was used to solve the optimization model, and the calculation example was used to test and compare the energy storage cost under different batteries and the net user side income before and after the installation of energy storage. Meanwhile, the influence of energy storage cost and various electricity price policies on the economic benefit of energy storage on the user side were analyzed.","PeriodicalId":403879,"journal":{"name":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122675490","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: 1

Frequency-Coupling Restrained Control of PV Inverters Tied into Weak AC Grid 光伏逆变器接入弱交流电网的频率耦合约束控制

2020 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2020-11-23 DOI: 10.1109/iSPEC50848.2020.9351265

F. Nie, Hailiang Xu, Shinan Wang

引用次数: 2

Comprehensive evaluation on Intelligent Substation Operation based on Cyber and Physical System model with variable weight 基于变权网络与物理系统模型的智能变电站运行综合评价

2020 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2020-11-23 DOI: 10.1109/iSPEC50848.2020.9351000

Jing-ning Xu, Yan Li, Andi Liu, Weiyu Ming, Shaorong Wang

{"title":"Comprehensive evaluation on Intelligent Substation Operation based on Cyber and Physical System model with variable weight","authors":"Jing-ning Xu, Yan Li, Andi Liu, Weiyu Ming, Shaorong Wang","doi":"10.1109/iSPEC50848.2020.9351000","DOIUrl":"https://doi.org/10.1109/iSPEC50848.2020.9351000","url":null,"abstract":"The intelligent substation has the characteristics of perceivable, interactive and self-decision-making functions, reflecting the abnormal operating status of electrical components of the power system, and automatically, quickly and selectively removing faulty components, which is the first line of defense to ensure the safety and stability of the power system and the indivisible cyber-physical system (CPS) basic unit. In order to realize comprehensive evaluation on intelligent substation operation based on CPS model, firstly, the paper analyzes CPS characteristics of intelligent substation, and proposes a set of multi-level evaluation index system, which is divided into four levels, namely: intelligent substation operation status level based on CPS characteristics, cyber system level, physical equipment level and physical equipment indicator level. Then The intelligent substation operation status evaluation is carried out based on CPS according to the multi-level evaluation index system proposed. The evaluation model is reasonably improved with variable weighting method to enlarge anomaly index, which is more in line with the requirements of physical equipment management. Finally, the paper evaluates the operating status of a relay protection device in actual intelligent substation, and conducts on-site fund collection analysis to verify the feasibility, effectiveness, operability and practicality of the proposed evaluation index system, evaluation model and evaluation process in actual engineering applications.","PeriodicalId":403879,"journal":{"name":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122075958","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

Non-intrusive Extraction and Forecasting of Residential Electric Vehicle Charging Load 住宅电动汽车充电负荷非侵入式提取与预测

2020 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2020-11-23 DOI: 10.1109/iSPEC50848.2020.9351044

Run Zhou, Yue Xiang, Yang Wang, Yuan Huang, S. Xia

{"title":"Non-intrusive Extraction and Forecasting of Residential Electric Vehicle Charging Load","authors":"Run Zhou, Yue Xiang, Yang Wang, Yuan Huang, S. Xia","doi":"10.1109/iSPEC50848.2020.9351044","DOIUrl":"https://doi.org/10.1109/iSPEC50848.2020.9351044","url":null,"abstract":"As with increasing growth of electric vehicles in the demand side, how to accurate identify the electric vehicle charging behavior is crucial to achieve stable operation of the power grid and strengthen possible ancillary services. Due to the limited direct monitoring data, it is of great significance to extract electric vehicle charging load with the aggregated smart meter data from the household perspective. In order to deal with that, this paper presents a novel framework to realize the non-intrusive extraction and forecasting of residential electric vehicle charging load. Firstly, the Factorial Hidden Markov Model (FHMM) algorithm is used to extract the charging load of the residential electric vehicles. The appropriate number of hidden states is selected by the iterative k-means method to establish the FHMM model of simultaneous operation of multiple devices. Then, the Long-Short Term Memory (LSTM) deep learning algorithm is used to forecast the electric vehicle charging load of residential electric vehicle in a short time period. Real smart meter data is used to test the proposed method and the result shows its feasibility for significant performance in the extraction, as well as the forecasting.","PeriodicalId":403879,"journal":{"name":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129751713","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: 4

Reliability Evaluation Modeling of Multi-Port Power Electronic Transformer Based on Cascaded H-Bridge 基于级联h桥的多端口电力电子变压器可靠性评估建模

2020 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2020-11-23 DOI: 10.1109/iSPEC50848.2020.9351015

Yuxiang Wan, Lin Cheng, Chun Yang, Xuyan Zhou, Yanglin Zhou

引用次数: 2

Research on Robust Control Strategy for Hybrid Energy Storage of DC Micro-Grid System: *Note: Sub-titles are not captured in Xplore and should not be used 直流微电网系统混合储能鲁棒控制策略研究:*注:Xplore中未捕获字幕，请勿使用

2020 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2020-11-23 DOI: 10.1109/iSPEC50848.2020.9351030

Yinping An, C. Sun, C. Liang, Di Wu

{"title":"Research on Robust Control Strategy for Hybrid Energy Storage of DC Micro-Grid System: *Note: Sub-titles are not captured in Xplore and should not be used","authors":"Yinping An, C. Sun, C. Liang, Di Wu","doi":"10.1109/iSPEC50848.2020.9351030","DOIUrl":"https://doi.org/10.1109/iSPEC50848.2020.9351030","url":null,"abstract":"DC Micro-grid system is drastically dependent on energy storage system that will provide compatible power required between power output of new energy and the loads. This article addresses the new type of robust control strategy specifically designed for the hybrid energy storage system of batteries and super capacitor for the DC micro-grid. For the purpose of such robust control strategy, the batteries are used to supply the energy in a stabilized manner while the super capacitor is used to supply the energy with fast transients. This method is used for stabilized energy filtered by conventional low-pass filter using fuzzy rule based controllers are used for further energy filtration at the sharp end. Compared with conventional control strategy, it will further reduce the current stress for battery while improving battery life time. In addition, it is featured with simple control, less computations and easy-to-realize. Furthermore, such system also incorporates energy control algorithm that will retain the state of charge of both batteries and super capacitor within the limit, thereby preventing the hybrid energy storage system from overcharge or over discharge so that the life time of hybrid energy storage system can be guaranteed. In the end, the simulation test platform established in Matlab/Simulink for DC micro-grid system will be used to verify the effectiveness of the control strategy as put forth.","PeriodicalId":403879,"journal":{"name":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"125 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129696126","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

Steady-state power quality comprehensive evaluation of grid-connected photovoltaic system based on Bayes discriminant analysis 基于贝叶斯判别分析的并网光伏系统稳态电能质量综合评价

2020 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2020-11-23 DOI: 10.1109/iSPEC50848.2020.9350946

Jidong Wang, Naixing Ye, Huiling Su, Kaijie Fang

{"title":"Steady-state power quality comprehensive evaluation of grid-connected photovoltaic system based on Bayes discriminant analysis","authors":"Jidong Wang, Naixing Ye, Huiling Su, Kaijie Fang","doi":"10.1109/iSPEC50848.2020.9350946","DOIUrl":"https://doi.org/10.1109/iSPEC50848.2020.9350946","url":null,"abstract":"In view of the current increasingly serious consumption of fossil fuels, new energy power generation has attracted more and more attention, and the resulting power quality problems have also attracted more research. At present, the assessment of power quality in current national standards only remains on a single index, so it is necessary to propose an effective comprehensive assessment method for power quality. Starting from a new perspective, the paper uses the Bayes discriminant analysis method to directly combine the national standards of relevant power quality indicators to establish a discriminant function for each power quality level, thereby determining the power quality level of the measurement point, and completing the comprehensive evaluation of power quality. The actual measurement data of the Dynamic Model Laboratory of Tianjin University is verified, which proves that this method can not only avoid the influence of subjective and objective factors such as the personal preference of the decision maker, but also obtain scientific and effective results conveniently and quickly.","PeriodicalId":403879,"journal":{"name":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126985279","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: 1

State of Health Estimation of LiFePO4Battery based on Probability Density Function 基于概率密度函数的lifepo4电池健康状态估计

2020 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2020-11-23 DOI: 10.1109/iSPEC50848.2020.9351214

Chaoyong Hou, Jizhong Chen, Shuili Yang, J. Chen

{"title":"State of Health Estimation of LiFePO4Battery based on Probability Density Function","authors":"Chaoyong Hou, Jizhong Chen, Shuili Yang, J. Chen","doi":"10.1109/iSPEC50848.2020.9351214","DOIUrl":"https://doi.org/10.1109/iSPEC50848.2020.9351214","url":null,"abstract":"Battery Management System (BMS) is very important for most of the electric vehicle (EV) and battery energy storage system (BESS), BMS can guarantee the safety, operation and even the life of the battery system. Checking and controlling the status of battery within their specified safe operating conditions is exactly the major function of BMS. The state of health (SOH) is a critical parameter of a Li-ion battery, an accurate on-line estimation algorithm of the SOH is important for forecasting the EV driving range and BESS power dispatching. A widely used method to estimate SOH is based on battery capacity, due to the uncertainty, including unit-to-unit variation, measurement noise, operational uncertainties, and model inaccuracy, it's difficult to estimate the SOH by using battery capacity. In this paper, a new method, probability density function to estimate the capacity of LiFePO4 battery by analyzing the charge and discharge data is presented. A comparison of the probability density function and differential voltage analysis (DVA) is provided, shows that the mathematical basis of the algorithm and DVA are in agreement, then present the relationship of dQ/dV vs V, synthesize derivation curve of anode and cathode. Further, in order to get the relationship between derivation curve and capacity of LiFePO4 battery over the lifecycle, the peak intensity, peak voltage, peak number and peak shift is analyzed. Finally, by utilizing the actual operation data, experiments and numerical analysis were conducted, show that this capacity estimation algorithm based on probability density function has better robust performance of the practical application of LiFePO4 battery, and the superiority of this method is verified.","PeriodicalId":403879,"journal":{"name":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130591413","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

Subsidizing stranded costs in high-renewables electricity markets: A case study 补贴高可再生电力市场的滞留成本:一个案例研究

2020 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2020-11-23 DOI: 10.1109/iSPEC50848.2020.9351151

Shuangquan Liu, Liping Yang, Qinggui Chen, Xiangrui Liu, Chunfeng Mu

{"title":"Subsidizing stranded costs in high-renewables electricity markets: A case study","authors":"Shuangquan Liu, Liping Yang, Qinggui Chen, Xiangrui Liu, Chunfeng Mu","doi":"10.1109/iSPEC50848.2020.9351151","DOIUrl":"https://doi.org/10.1109/iSPEC50848.2020.9351151","url":null,"abstract":"Managing stranded costs of power plants has become a challenging issue facing the electric power industry since the new power sector reform in China. To this end, this paper presents a subsidy mechanism for stranded costs incurred on incumbent coal-fired power plants due to electricity restructuring and competitive markets, building on international lessons. Based on the definition and classification of stranded costs, this paper lays out the methodologies for auditing and recovering stranded costs induced by transitioning from regulated to competitive markets. Then a subsidy design consisting of cost audit and recovery is proposed, in particular for electricity markets with high-share renewables. Furthermore, a numerical case study is presented to discuss the efficacy of the proposed subsidy. With elaborate discussions on subsidizing share, transitioning setup, and calculating method, as well as cost allocating, this paper suggests that subsidizing stranded costs in high-renewables electricity markets is a productive instrument in promoting reliable power supply, better renewable integration, and sustainable market development.","PeriodicalId":403879,"journal":{"name":"2020 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123987247","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: 1