2019 IEEE Sustainable Power and Energy Conference (iSPEC)最新文献

Information Model of Centralized Feeder Automation Based on IEC 61850 基于IEC 61850的集中式馈线自动化信息模型

2019 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2019-11-01 DOI: 10.1109/iSPEC48194.2019.8975254

Zhengyi Zhu, Jiacheng Cheng, Zhi Wang, W. Gao, Jiawei Li

引用次数: 7

Design and application of sensor measuring neutral DC current of transformer based on resistance sampling 基于电阻采样的变压器中性点直流电流传感器的设计与应用

2019 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2019-11-01 DOI: 10.1109/iSPEC48194.2019.8975055

Xin Tong, Jiangtao Quan, Tian Xia, Jiahui He, Chengzhi Wang

引用次数: 1

A coordinated controlling strategy in current and power quality for grid-connected inverter under unbalanced grid voltage 电网电压不平衡条件下并网逆变器电流与电能质量的协调控制策略

2019 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2019-11-01 DOI: 10.1109/iSPEC48194.2019.8975154

Jintao Guo, T. Jin, Mengqi Wang

{"title":"A coordinated controlling strategy in current and power quality for grid-connected inverter under unbalanced grid voltage","authors":"Jintao Guo, T. Jin, Mengqi Wang","doi":"10.1109/iSPEC48194.2019.8975154","DOIUrl":"https://doi.org/10.1109/iSPEC48194.2019.8975154","url":null,"abstract":"When the grid is under the condition of unbalanced voltage, the problems such as the inverter output active and reactive power oscillation, output power quality degradation and overcurrent can be occurred. In order to overcome these problems, there are three different controlling targets: balancing current, suppressing active power as well as reactive power fluctuation. According to the instantaneous power theory, it is impossible to achieve all controlling targets simultaneously. This paper proposed a grid-connected inverter current quality/power coordinated controlling strategy. The method which uses the IPSO algorithm to set the weight coefficient considers the current balance, the active power and the reactive power fluctuation comprehensively. Simultaneously, the output current can be limited to the maximum output current of the inverter. On this basis, the grid-connected model predictive current controlling strategy based on the reference voltage is established to realize the fast and accurate tracking of the reference current. The simulation results show that the proposed method can coordinate the inverter output current balance, suppress the active power and the reactive power fluctuation oscillation, as well as effectively limit the current peak.","PeriodicalId":413554,"journal":{"name":"2019 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116915404","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

Electromechanical Transient Modeling of UHVDC Reactive Power Auto-Control 特高压直流无功自动控制的机电暂态建模

2019 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2019-11-01 DOI: 10.1109/iSPEC48194.2019.8975345

Yuan Huling, P. Huimin, Li Feng, Li Wei, Huang Tiangang

引用次数: 0

Collaborative Optimal Configuration of Electric Power Conversion Equipment and CCHP Equipment in IES Considering Variable Working Condition 考虑变工况的IES电力转换设备与热电联产设备协同优化配置

2019 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2019-11-01 DOI: 10.1109/iSPEC48194.2019.8975105

Fang Yi, Wenxia Liu, Zhengzhou Li, Yue Yang, Yueqiao Li

引用次数: 0

Control Strategy of Energy Storage Participating in Secondary Frequency Regulation Based on Ultra-short-term Load Forecasting 基于超短期负荷预测的储能参与二次调频控制策略

2019 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2019-11-01 DOI: 10.1109/iSPEC48194.2019.8975163

Yiwei Cui, Xinran Li, Zhuangxi Tan, Ningning Zhu, Zhuoying Zhong, Ruo Li

{"title":"Control Strategy of Energy Storage Participating in Secondary Frequency Regulation Based on Ultra-short-term Load Forecasting","authors":"Yiwei Cui, Xinran Li, Zhuangxi Tan, Ningning Zhu, Zhuoying Zhong, Ruo Li","doi":"10.1109/iSPEC48194.2019.8975163","DOIUrl":"https://doi.org/10.1109/iSPEC48194.2019.8975163","url":null,"abstract":"In recent years, energy storage(ES) has been widely used as a new auxiliary power grid frequency regulation(FR) means, however, its capacity configuration is still subject to its cost. In order to improve the utilization rate of energy storage capacity, under the condition of energy storage participating in the secondary frequency regulation, the output depth of the energy storage can be adaptively adjusted according to its frequency regulation capability; Under the condition of recovery of energy storage's state of charge(SOC), the SOC reference value is dynamically adjusted based on the ultra-short-term load forecasting result, and the real-time operating state constraints of the power grid are taken into consideration to determine the actual self-recovering power of the energy storage. Finally, the control strategy of energy storage assisting power grid frequency regulation is proposed by synthetically analyzing the demand of power grid frequency regulation and the capability of energy storage frequency regulation, and the flow chart of realization is presented. The proposed strategy is verified by simulating the actual load disturbance scenario of power grid in MATLAB/simulink. And the results of the simulation show that the proposed strategy has good frequency regulation effects and improves the utilization of energy storage capacity.","PeriodicalId":413554,"journal":{"name":"2019 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127462360","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

Prediction of Evaluation Index of Tie Line Power Control Based on LSTM 基于LSTM的电网功率控制评价指标预测

2019 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2019-11-01 DOI: 10.1109/iSPEC48194.2019.8975350

Dongying Zhang, Huiting Zhang, Xu Zhang, T. Du, Xueting Cheng, Gao Lei

{"title":"Prediction of Evaluation Index of Tie Line Power Control Based on LSTM","authors":"Dongying Zhang, Huiting Zhang, Xu Zhang, T. Du, Xueting Cheng, Gao Lei","doi":"10.1109/iSPEC48194.2019.8975350","DOIUrl":"https://doi.org/10.1109/iSPEC48194.2019.8975350","url":null,"abstract":"With the large-scale wind power connected to the power grid, the volatility and uncertainty of wind power output will cause fluctuations in the power of the tie line between the interconnected regional power grids, resulting in the limit of the power of the tie line, affecting the assessment of the power system and even threatening system security. Therefore, this paper proposes an evaluation index prediction method of tie line power control based on LSTM. Use historical data of a grid tie line as input, and establish a prediction model and predict the tie line power in advance. The CPS standard for the tie line control performance evaluation index is introduced, and the CPS indicator is predicted based on the tie line power prediction. The results of the example show that the power of the tie line predicted by LSTM is basically the same as the actual power, and the CPS indicator is more reliable. Comparing the prediction method with the results of other prediction methods, the error is small, and the feasibility and effectiveness of the above prediction method for the evaluation of tie line control performance are verified.","PeriodicalId":413554,"journal":{"name":"2019 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125030496","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

Data-Driven Approach based Tri-Level Generation and Transmission Expansion Planning Model with High Wind Penetration 基于数据驱动方法的高风侵度三级发输电扩展规划模型

2019 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2019-11-01 DOI: 10.1109/iSPEC48194.2019.8974887

Tao Wu, K. Xie, Bo Hu, Hong-guo Lu, Jinfeng Ding, Weixiang Shen

{"title":"Data-Driven Approach based Tri-Level Generation and Transmission Expansion Planning Model with High Wind Penetration","authors":"Tao Wu, K. Xie, Bo Hu, Hong-guo Lu, Jinfeng Ding, Weixiang Shen","doi":"10.1109/iSPEC48194.2019.8974887","DOIUrl":"https://doi.org/10.1109/iSPEC48194.2019.8974887","url":null,"abstract":"Renewable energy (RE) has received considerable attention in the last decades due to its advantage of sustainability and environmental friendliness. Power system expansion is faced with unneglible challenge when integrating renewable energy. To make the investment decisions robust and economic, a date-driven tri-level generation and transmission expansion planning model is proposed, considering the renewable output uncertainty and operational flexibility. By taking advantage of the historical data, an ambiguity set is developed to cover all the possible distribution of renewable resource, and then to find the worst-case scenarios. The operational flexibility is captured by modeling flexibility limits of thermal generators. To handle with the nonlinear constraints, a quasi-exact approach is introduced to linearize the proposed planning model. Then a Column-and-Constraint generation based decomposition framework is developed to tackle the solution complexity. Simulation results on the modified 6 bus test system are presented to demonstrate the effectiveness of the proposed model. Case studies show the advantage of the proposed model in the aspect of decreasing conservativeness, and the importance of considering flexibility into the generation and transmission expansion planning involving the high level of renewable energy integration.","PeriodicalId":413554,"journal":{"name":"2019 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125099609","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

Developmental Stage Evaluation of AC/DC Distribution System Based on Fuzzy Recognition Network 基于模糊识别网络的交直流配电系统发展阶段评价

2019 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2019-11-01 DOI: 10.1109/iSPEC48194.2019.8975024

Shigong Jiang, Hongjun Li, Wei Liu, Jianfeng Yan, Z. Shen, Jun Han

{"title":"Developmental Stage Evaluation of AC/DC Distribution System Based on Fuzzy Recognition Network","authors":"Shigong Jiang, Hongjun Li, Wei Liu, Jianfeng Yan, Z. Shen, Jun Han","doi":"10.1109/iSPEC48194.2019.8975024","DOIUrl":"https://doi.org/10.1109/iSPEC48194.2019.8975024","url":null,"abstract":"In order to promote the consumption of renewable energy and meet the needs of multiple AC/DC load, it is necessary to define the evolution route and development form of AC/DC distribution system. A fuzzy neural network can evaluate fuzzy problems effectively by combining artificial neural network and fuzzy recognition theory. Firstly, the evaluation index system of developmental stage for AC/DC distribution system is constructed. Secondly, the fuzzy membership function of AC/DC distribution system for developmental stage evaluation is established by selecting the reference samples of each indicator. Thirdly, interpolation method is used to interpolate the reference samples and fuzzy output, so as to establish the corresponding relation between input and output. Finally, the developmental stage evaluation problem of AC/DC distribution system is transformed into fuzzy identification problem. On the basis of fully utilize the self-organizing and self-learning ability of neural network, the developmental stage of AC/DC distribution system is evaluated. The effectiveness of proposed index system and evaluation algorithm is verified by taking an actual AC/DC distribution system as an example. The evaluation results can accurately determine the development stage of AC/DC distribution system, and provide guidance for the construction of network framework and the consumption of renewable energy.","PeriodicalId":413554,"journal":{"name":"2019 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125911364","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

Midium and Long Term Contract Decomposition Method Considering Cascade Water Quantity Matching Constraint 考虑级联水量匹配约束的中长期契约分解方法

2019 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2019-11-01 DOI: 10.1109/iSPEC48194.2019.8975133

Y. Xing, Maolin Zhang, Bangcan Wang, Wenjiao Ding, Siyu Gong, Wenjing Zhang

引用次数: 6