2021 North American Power Symposium (NAPS)最新文献_第5页

Model predictive control of grid connected inverters using different discretization strategies 采用不同离散化策略建立并网逆变器的预测控制模型

2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654457

M. Al-Ali, F. Mancilla–David

{"title":"Model predictive control of grid connected inverters using different discretization strategies","authors":"M. Al-Ali, F. Mancilla–David","doi":"10.1109/NAPS52732.2021.9654457","DOIUrl":"https://doi.org/10.1109/NAPS52732.2021.9654457","url":null,"abstract":"Global warming and its implications like rising sea levels and higher temperatures have lit a fire underneath the world's sense of urgency towards a seemingly inevitable disaster. Thanks to social media, people are now aware of the issue and are pressuring lawmakers to legislate laws that dampen the growth rate of the pollution we are generating. As a result, we are slowly shifting our reliance on environmentally unfriendly to sustainable energy. Power electronics is a key enabling technology for the development of sustainable energy, as it allows to convert power coming from a variety of sources into utility grade power. In particular, voltage sourced inverters (VSIs) are used to convert dc power, e.g., power generated by photovoltaic arrays, into ac power, allowing the power source to be connected to the ac grid. The control of a grid-connected two-level VSI using model predictive control (MPC) is the main subject of this paper. The MPC implementation will be approached with three different discretization methods for the plant: first-order forward Euler's method, Modified Euler's method and third-order Runge Kutta method. MPC performance is tested under all stated discretization methods, comparing dynamic response and computational burden.","PeriodicalId":123077,"journal":{"name":"2021 North American Power Symposium (NAPS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125287493","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

Contingency Probability Estimation for Risk-Based Planning Studies Using NERC's Outage Data and Standard TPL-001-4 使用NERC停电数据和标准TPL-001-4的基于风险的规划研究的应急概率估计

2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654572

Yanda Jiang, Anam Kalair, J. McCalley, Parag Mitra, A. Gaikwad, D. Pratt, Jack Norris

引用次数: 4

Volt/Var Control of Solar Photovoltaic System 太阳能光伏系统的伏/无功控制

2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654538

Mahmoud M. Badreldien, B. Johnson

引用次数: 0

Transformer Loss of Life Mitigation by Coordinating Energy Storage, EV charging, and PV Generation at Consumer Sites 通过协调能源储存、电动汽车充电和消费者站点的光伏发电来减轻变压器的寿命损失

2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654445

Milad Soleimani, M. Kezunovic

引用次数: 1

Optimal Power Flow Estimation Using One-Dimensional Convolutional Neural Network 基于一维卷积神经网络的最优潮流估计

2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654438

Kun Yang, Wei Gao, R. Fan

引用次数: 3

Wind Power Generation from Multiple Array Configuration and Efficient Power Integration to Grid 风力发电从多阵配置到高效并网

2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654661

Y. Sharif, Mosfequr Rahman, V. Soloiu, M. Kiernan, D. Grall, Md Shahjahan Hossain

{"title":"Wind Power Generation from Multiple Array Configuration and Efficient Power Integration to Grid","authors":"Y. Sharif, Mosfequr Rahman, V. Soloiu, M. Kiernan, D. Grall, Md Shahjahan Hossain","doi":"10.1109/NAPS52732.2021.9654661","DOIUrl":"https://doi.org/10.1109/NAPS52732.2021.9654661","url":null,"abstract":"Unlike dispatchable central power stations, wind power sources produce reliable power from external intermittent sources, and this is the wind speed incident that does not always flow when electricity is required. This results in wind resource variation, randomness, and volatility. There is, therefore, a major challenge for the operator's power system to connect wind turbines to the electricity grid. This integration has important implications for optimum power flow, issues with energy efficiency, network stability, load management, and economic evaluation. This paper addresses the relation to the distribution system with a low voltage of small wind turbines with multiple array configuration and improved control system integration. A C grids having a low short-circuit ratio (SCR) influence the performance stability of wind turbines which have been used taking the power from the wind turbine arrays for getting the maximum output and efficiency. The active and reactive power supplied to the grid by the inverter and its control system is evaluated. This is done by means of proportional-integral-derivative (PID) controllers generating the required reference signals.","PeriodicalId":123077,"journal":{"name":"2021 North American Power Symposium (NAPS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129830830","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

Hardware Demonstration of Weak Grid Oscillations in Grid-Following Converters 电网跟随变换器中电网弱振荡的硬件演示

2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654557

L. Bao, Lingling Fan, Zhixin Miao, Zhengyu Wang

引用次数: 4

A Cooperative Game Theory-based Secondary Frequency Regulation in Distribution Systems 基于合作博弈理论的配电系统二次频率调节

2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654778

Mukesh Gautam, N. Bhusal, M. Benidris, H. Livani

{"title":"A Cooperative Game Theory-based Secondary Frequency Regulation in Distribution Systems","authors":"Mukesh Gautam, N. Bhusal, M. Benidris, H. Livani","doi":"10.1109/NAPS52732.2021.9654778","DOIUrl":"https://doi.org/10.1109/NAPS52732.2021.9654778","url":null,"abstract":"Participation of distribution systems in frequency regulation has become an important factor for grid operation after the integration of distributed energy resources (DERs). While available reserves from a single distribution system may not be sufficient for frequency regulation, aggregated reserves from several distribution systems can provide frequency regulation at grid-scale. This paper proposes a cooperative game theory-based approach for secondary frequency regulation in distribution systems consisting of distributed energy resources (DERs). A two-stage strategy is proposed to effectively and precisely determine a change in active power set points of DERs following a command from system operators. In the first stage, the value or worth of each DER and their coalitions are determined using initial rates of change of frequency (ROCOF) for each DER/coalition. In the second stage, the Shapley value, one of the solution concepts of cooperative game theory, is used to determine changes in active power set points of DERs. The proposed method is implemented on several distribution systems including a modified IEEE 13-node system and modified 33-node distribution system.","PeriodicalId":123077,"journal":{"name":"2021 North American Power Symposium (NAPS)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114939325","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

A Fully Decentralized Control Approach for Hybrid Energy Storage System in DC Microgrids Based on Fractional Order Voltage Compensation 基于分数阶电压补偿的直流微电网混合储能系统全分散控制方法

2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654758

M. Alam, F. Al-Ismail, Abdullah A. Almehizia, M. A. Abido

{"title":"A Fully Decentralized Control Approach for Hybrid Energy Storage System in DC Microgrids Based on Fractional Order Voltage Compensation","authors":"M. Alam, F. Al-Ismail, Abdullah A. Almehizia, M. A. Abido","doi":"10.1109/NAPS52732.2021.9654758","DOIUrl":"https://doi.org/10.1109/NAPS52732.2021.9654758","url":null,"abstract":"Recently, power networks are observing high-level integration of renewable energy, direct current (DC) loads, and energy storage devices. As a result of more power electronic-based components integration, the conventional alternating current (AC) microgrid is gradually transforming to DC microgrid. However, DC bus voltage control and power-sharing among energy storage devices are challenging tasks. This study proposes a new voltage compensation control strategy for DC microgrids based on fractional-order differential-integral (FODI) controller. In the proposed approach, a voltage compensation term which is processed by the FODI controller is added to the droop control loop. The advantages of the proposed controller are manyfold such as autonomous bus voltage restoration, power split between battery and supercapacitor, and autonomous state of charge (SOC) control. The DC microgrid consisting of battery, supercapacitor, and DC loads is simulated in MATLAB Simulink. The results show that the proposed controller is superior to the conventional controller in controlling DC bus voltage, active power, and SOC.","PeriodicalId":123077,"journal":{"name":"2021 North American Power Symposium (NAPS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116752260","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

Implementation of CVR in Distribution Networks by Optimal Coordination of BESS and PV Inverters Using Arithmetic Optimization Algorithm 基于算法优化的BESS与光伏逆变器优化协调在配电网中实现CVR

2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654489

Mojtaba Ahanch, R. McCann

{"title":"Implementation of CVR in Distribution Networks by Optimal Coordination of BESS and PV Inverters Using Arithmetic Optimization Algorithm","authors":"Mojtaba Ahanch, R. McCann","doi":"10.1109/NAPS52732.2021.9654489","DOIUrl":"https://doi.org/10.1109/NAPS52732.2021.9654489","url":null,"abstract":"This article proposes a new framework for the substation demand reduction and power loss minimization in distribution networks by implementing conservation voltage reduction (CVR) strategy. The proposed framework coordinates Battery Energy Storage Systems (BESS), Smart PV inverters and voltage control devices-including OLTC and voltage regulators- so that the substation demand and network power loss are reduced while the service voltage range meets the IEEE 1547 standard (120-114 V). The suggested CVR strategy is applied to the IEEE 34-bus case study system consisting of two PV generations and BESS. The smart PV inverters are controlled based on the combined Volt/VAr-Volt/Watt (VVW) characteristics scheme. Also, BESS is charged and discharged with regard to the time and peakshave control modes, respectively. The Arithmetic Optimization Algorithm (AOA) is implemented in MATLAB scripts for solving the optimization problem. Power flow studies are carried out using OpenDSS software. Results reveal that the new framework can achieve higher substation demand reduction considering the concurrent control of PVs and BESS.","PeriodicalId":123077,"journal":{"name":"2021 North American Power Symposium (NAPS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130566958","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: 2