2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)最新文献_第2页

A novel method to differentiate a fault from power swing using impedance angle rate 提出了一种基于阻抗角率的功率摆动故障鉴别方法

2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC) Pub Date : 2021-11-21 DOI: 10.1109/APPEEC50844.2021.9687684

Aldrich Zeno

引用次数: 0

Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) Power Forecasting 长短期记忆递归神经网络(LSTM-RNN)功率预测

2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC) Pub Date : 2021-11-21 DOI: 10.1109/APPEEC50844.2021.9687681

Maha S. Alsabban, Nema Salem, Hebatullah M. Malik

{"title":"Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) Power Forecasting","authors":"Maha S. Alsabban, Nema Salem, Hebatullah M. Malik","doi":"10.1109/APPEEC50844.2021.9687681","DOIUrl":"https://doi.org/10.1109/APPEEC50844.2021.9687681","url":null,"abstract":"The geographical position of the Kingdom of Saudi Arabia has significant potentials for utilizing renewable energy resources, which aligns with the country's vision for 2030. This paper proposes a solution to achieve energy sustainability by forecasting future load demands through adopting three different scenarios. We used the outsourced Individual Household Electric Power Consumption Dataset, University of California-Irvine repository, for testing our proposed system. We utilized the Long Short-term Memory-Recurrent Neural Network (LSTM-RNN) algorithm to estimate the whole house power consumption for different horizons: every 15 minutes, daily, weekly, and monthly. Next, we evaluated the performance of the system by Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Square Error (RMSE), and $R^{2}$ score metrics. Then, we applied the Mean Absolute Percentage Error (MAPE) to find its accuracy. The results showed that the monthly forecasting interpretation scenario was the best performing model. That scenario used (n-1) months for training and the last month for testing. The scores for that model were 0.034 (MAE), 0.001 (MSE), 0.034 (RMSE), and 97.16% (accuracy). The constructed model successfully achieved its goals of predicting the active power of the household and now can be accommodated on energy applications not only in Saudi Arabia but also in any other country.","PeriodicalId":345537,"journal":{"name":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131253474","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

Research on dynamic characteristics of inverter when fault occurs in HVDC receiving end equipped with synchronous condenser 安装同步冷凝器的高压直流接收端发生故障时逆变器的动态特性研究

2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC) Pub Date : 2021-11-21 DOI: 10.1109/APPEEC50844.2021.9687711

L. Luo, Tao Pang

引用次数: 0

Synchronous generator modelling and excitation voltage control for GIC studies 同步发电机建模和励磁电压控制的GIC研究

2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC) Pub Date : 2021-11-21 DOI: 10.1109/APPEEC50844.2021.9687728

Pitambar Jankee, D. Oyedokun, H. Chisepo

{"title":"Synchronous generator modelling and excitation voltage control for GIC studies","authors":"Pitambar Jankee, D. Oyedokun, H. Chisepo","doi":"10.1109/APPEEC50844.2021.9687728","DOIUrl":"https://doi.org/10.1109/APPEEC50844.2021.9687728","url":null,"abstract":"Geomagnetically Induced Currents (GIC) have very low-frequency characteristics and can disturb power system dynamics. The steady-state responses of transformers to GIC modelled as dc equivalent currents are well documented, but the dc simplification may not be representative. In this study, we use a more realistic 20 mHz ac GIC. We have not found any studies focusing on the dynamic response of synchronous generators with GIC. Generator models are complex having several parameters but are often simplified as ac equivalent sources without any representation of their field flux. We present a methodology for including synchronous generator models in dynamic GIC studies. A 4-bus power system was modelled in MATLAB/Simulink and the responses of an ideal and non-ideal ac electrical equivalent generator model are compared against full synchronous machine models having excitation and turbine/governor systems. The results imply that careful considerations are needed when modelling the source generators and that volt drop mitigation may be possible during geomagnetic disturbances when excitation system controls are optimized.","PeriodicalId":345537,"journal":{"name":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115840364","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: 5

A Consideration of non-linear dielectric response of water-treed XLPE cable insulation 水树交联聚乙烯电缆绝缘非线性介电响应的研究

2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC) Pub Date : 2021-11-21 DOI: 10.1109/APPEEC50844.2021.9687734

Priya Selvamany, G. Varadarajan

引用次数: 0

Optimal Sizing and Placement of Battery Energy Storage System for Resilience Enhancement in Power Distribution Systems Against Volcanic Eruptions 增强配电系统抗火山喷发弹性的电池储能系统优化尺寸和布局

2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC) Pub Date : 2021-11-21 DOI: 10.1109/APPEEC50844.2021.9687760

M. Aguirre-Velasco, M. Saltos-Rodríguez, A. Velásquez-Lozano, D. Ortiz-Villalba

{"title":"Optimal Sizing and Placement of Battery Energy Storage System for Resilience Enhancement in Power Distribution Systems Against Volcanic Eruptions","authors":"M. Aguirre-Velasco, M. Saltos-Rodríguez, A. Velásquez-Lozano, D. Ortiz-Villalba","doi":"10.1109/APPEEC50844.2021.9687760","DOIUrl":"https://doi.org/10.1109/APPEEC50844.2021.9687760","url":null,"abstract":"High-impact and low-probability (HILP) events such as natural hazards have changed how the power distribution systems (PDSs) are designed and operated. The traditional reliability framework ignores the catastrophic effects of the HILP events on PDSs. Accordingly, the resilience concept is becoming more critical to developing strategies to mitigate those effects. This paper proposes a novel methodology for resilience enhancement on PDSs against volcanic eruptions. The proposed methodology evaluates the PDSs performance against lahars occurrence and its impact on the PDS infrastructure. The proposed approach allows planning and operating battery energy storage systems (BESS) to reduce the energy not supplied (ENS) during the system recovery. The methodology includes Monte-Carlo simulation method (MCS) and a stochastic optimization model. Our proposal is implemented on the IEEE 37-node test feeder and in a feeder operated by ELEPCO S.A in Ecuador. This feeder departs from the San Rafael substation to the Salcedo substation, which is vulnerable to the impact of a lahar in a possible eruption of the Cotopaxi volcano. The results show that the optimal sizing and placement of BESS can reduce the ENS against volcanic eruptions.","PeriodicalId":345537,"journal":{"name":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125455466","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

Aggregation of DERs like Air Conditioners for Virtual Power Plant, based on IEEE 1547 Standards Family 基于IEEE 1547标准族的虚拟电厂空调类der聚合

2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC) Pub Date : 2021-11-21 DOI: 10.1109/APPEEC50844.2021.9687690

M. Umejima, S. Manickam

{"title":"Aggregation of DERs like Air Conditioners for Virtual Power Plant, based on IEEE 1547 Standards Family","authors":"M. Umejima, S. Manickam","doi":"10.1109/APPEEC50844.2021.9687690","DOIUrl":"https://doi.org/10.1109/APPEEC50844.2021.9687690","url":null,"abstract":"We live in a very connected world. As the world gets even more connected with the proliferation of connected devices, i.e., Internet of Things (IoT), a paradigm shift will happen in an electric utility system that relies on the mandatory balance of demand and supply. Balancing capabilities must be on standby at the power grid network to fulfill this requirement, showing high dependency on large-scale power plants on the supply side. However, Demand-side Energy Management System (D-EMS) accumulate loads like an air conditioner with network access is becoming the catalyst in influencing the design of the demand and supply balancing formula. IEEE 1547 standards family describe that Demand Response (DR) Aggregator acquires balancing capacities by aggregating DR units, namely Virtual Power Plant (VPP). This research presented and verified that aggregation of D-EMSs that refers to the accumulation of loads with network access like air conditioners showing a characteristic of Distributed Energy Resources (DERs), realized VPP with offering scalability. Significantly, the measurement of D-EMS by a smart power meter with the certification of the centralized authority was able to ensure transparency in VPP as a whole system, removing the weakness of a distributed system.","PeriodicalId":345537,"journal":{"name":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127518793","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 Power Forecasting Method for Photovoltaic Plants under Hazy Conditions 雾霾条件下光伏电站功率预测新方法

2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC) Pub Date : 2021-11-21 DOI: 10.1109/APPEEC50844.2021.9687745

Ming Ma, Bin He, Qingquan Lv, Runjie Shen, Honglu Zhu, R. Hou

{"title":"A New Power Forecasting Method for Photovoltaic Plants under Hazy Conditions","authors":"Ming Ma, Bin He, Qingquan Lv, Runjie Shen, Honglu Zhu, R. Hou","doi":"10.1109/APPEEC50844.2021.9687745","DOIUrl":"https://doi.org/10.1109/APPEEC50844.2021.9687745","url":null,"abstract":"Power forecasting has become more and more important for the safe and economic operation of Photovoltaic (PV) plants. In practice, the power generation of PV plants may be affected by haze conditions. To improve the power forecasting accuracy of PV plants under hazy conditions, the Air Quality Index (AQI) is adopted for the power forecasting modeling in the paper. The relationship between the AQI and solar irradiance is analyzed firstly, which indicates that the AQI and solar irradiance have a significant negative correlation. It reveals the weakening effect of haze on solar irradiance. A clear boundary exists in the scatter diagram of the AQI and solar irradiance under different haze conditions which represents the maximum solar irradiance which the PV plant can receive at a moment. Then, a new method is proposed in which the AQI is adopted to correct the solar irradiance from Numerical Weather Prediction (NWP). The corrected NWP solar irradiance serves as an input variable for the Artificial Neural Network (ANN) model. Finally, the measured data is used to compare the different power forecasting methods. The results show that the proposed method can effectively improve the power forecasting accuracy of PV plants under hazy conditions.","PeriodicalId":345537,"journal":{"name":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129025810","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

New Simplified Space Vector Modulation for Three Phase Asymmetric Multilevel Inverter with Reduced Switch Count Using One Dimensional Modulator 基于一维调制器的减少开关数的三相非对称多电平逆变器简化空间矢量调制

2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC) Pub Date : 2021-11-21 DOI: 10.1109/APPEEC50844.2021.9687800

Muraly N, Ajay-D-vimal Raj. P, S. P.

{"title":"New Simplified Space Vector Modulation for Three Phase Asymmetric Multilevel Inverter with Reduced Switch Count Using One Dimensional Modulator","authors":"Muraly N, Ajay-D-vimal Raj. P, S. P.","doi":"10.1109/APPEEC50844.2021.9687800","DOIUrl":"https://doi.org/10.1109/APPEEC50844.2021.9687800","url":null,"abstract":"The Space Vector Modulation [SVM] technique which is primarily utilized in phase-3 inverters because it delivers greater utilization source, operation based on linear performance and Total Harmonic Distortion (THD). If the inverter supposes to be greater amount of level or greater quantity of phases, the control region representation has become entirely complex also the strategies of SVM has to consider greater amount of switching states. To overcome this simple one-dimensional modulator for a three phase Seven Level Asymmetric Multilevel Inverter (SLAMLI) with reduced components is proposed at present work. The suggested one-dimensional strategy is employed to modulate every stage of the SLAMLI separately, whereas traditional SVM techniques consider the converter as a whole system. The suggested methodology has the benefit of being able to have any topology and any level of authority without providing new complexity. Also, it naturally suppresses the magnitude of Common Mode Voltage (CMV) and keeps it constant without any post processing. This reduced CMV benefits negligible leakage current. Consequently, MATLAB/SIMULINK has to done by means of evaluate the sustainability of the suggested technique.","PeriodicalId":345537,"journal":{"name":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134624827","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 Cross-regional Peak Shaving Optimization Clearing Model Considering Bilateral Quotation 考虑双边报价的跨区域调峰优化清理模型

2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC) Pub Date : 2021-11-21 DOI: 10.1109/APPEEC50844.2021.9687796

Fang Liu, Yujia Li, Lei Tao, Xin Xu, Ling-lin Gong, Qiong Feng, Jing Yu, Haiwei Wu, Ming Yang

引用次数: 0