2021 North American Power Symposium (NAPS)最新文献_第3页

Resiliency and Off-Grid Capabilities for Military Bases: Vermont Air National Guard Case Study 军事基地的弹性和离网能力:佛蒙特州空军国民警卫队案例研究

2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654707

Ryan Miller, B. Anderson, Michael Renard, A. S. Leger

{"title":"Resiliency and Off-Grid Capabilities for Military Bases: Vermont Air National Guard Case Study","authors":"Ryan Miller, B. Anderson, Michael Renard, A. S. Leger","doi":"10.1109/NAPS52732.2021.9654707","DOIUrl":"https://doi.org/10.1109/NAPS52732.2021.9654707","url":null,"abstract":"Grid level, and behind the meter, energy storage has grown at a rapid pace in recent years. Motivations for this growth include increasing energy resiliency and providing economic benefits through peak shaving and time shifting loads to off-peak hours. This work presents the results of an energy storage evaluation for a Vermont Air National Guard base. Presently, this base has 1.54 MW of solar photovoltaics installed with no off-grid capability. This work modeled the electric critical load demand, the existing photovoltaic array, and grid interconnection. The grid interconnection model includes photovoltaic interface with the utility and appropriate time-of-use pricing for demand and energy charges. With this baseline model, various energy storage options were examined to improve the economic operation of the base and provide resiliency. Initial research has shown lithium-ion batteries as a preferred energy storage option based on current market trends. Final results yield a range of resiliency recommendations based on percentage of load served and reliability of system. System sizing options are accompanied by an economic analysis, including complete off-grid capabilities for fourteen days. While complete off-grid capability may be impractical economically, a battery energy storage system is able to offset some of the cost of the system.","PeriodicalId":123077,"journal":{"name":"2021 North American Power Symposium (NAPS)","volume":"2015 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":"128065743","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

Real-time Optimal Dispatch of Behind-the-Meter DERs for Secondary Frequency Regulation 二次调频中表后der的实时优化调度

2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654461

Jitendra Thapa, Mohammad MansourLakouraj, Mukesh Gautam, Michael Abdelmalak, M. Benidris, H. Livani

{"title":"Real-time Optimal Dispatch of Behind-the-Meter DERs for Secondary Frequency Regulation","authors":"Jitendra Thapa, Mohammad MansourLakouraj, Mukesh Gautam, Michael Abdelmalak, M. Benidris, H. Livani","doi":"10.1109/NAPS52732.2021.9654461","DOIUrl":"https://doi.org/10.1109/NAPS52732.2021.9654461","url":null,"abstract":"Active distribution networks (ADNs) can provide grid services such as peak load shaving, loss reduction, VoltNar control, congestion management, and frequency regulation. The fast response of inverter-based distributed energy resources (DERs) and battery storage systems enables them to provide ramping support and frequency control. This paper proposes a real-time optimization approach for behind-the-meter DERs to participate in the secondary frequency regulation. The proposed approach determines optimal set-points of output power of DERs to respond to requests from system operators (SOs) in realtime to maintain the frequency of the system at the nominal value. To satisfy the real-time requirement for the secondary frequency control, the nonlinear AC power flow model is linearized considering power losses in the system to achieve both high computational speed and acceptable accuracy. The optimization problem is rerun in a closed loop manner until the mismatch between the requested power by the system operators and actual delivered power at the substation reaches an acceptable tolerance. The proposed approach is validated using modified versions of the IEEE 33-bus and IEEE 69-bus distribution systems. Although the contribution of a single distribution system in the frequency regulation may not be significant, stacked and coordinated contributions from several distribution systems can provide frequency regulation and other grid services at scale.","PeriodicalId":123077,"journal":{"name":"2021 North American Power Symposium (NAPS)","volume":"30 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":"132942922","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

Water-Energy Co-Optimization for Community-Scale Microgrids 社区规模微电网的水能协同优化

2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654518

Jesus Silva-Rodriguez, Xingpeng Li

{"title":"Water-Energy Co-Optimization for Community-Scale Microgrids","authors":"Jesus Silva-Rodriguez, Xingpeng Li","doi":"10.1109/NAPS52732.2021.9654518","DOIUrl":"https://doi.org/10.1109/NAPS52732.2021.9654518","url":null,"abstract":"A microgrid containing multiple energy sources typically serves localized loads in a small territory such as a small community and is intended to further improve the power security and sustainability for its service area. Since water supply is also very critical, this paper proposes a day-ahead water-energy co-optimization (WECoOp) model that simultaneously schedules both electric power and water for a community-scale microgrid. Therefore, the proposed WECoOp model will not only schedule distributed energy resources and exchange power with the main grid, but also manage local wastewater treatment, water storage reservoirs, and interaction with the main municipal water supply system. The necessary power and water related constraints are enforced in the proposed WECoOp model to ensure scheduling solutions are feasible and practical. To illustrate the effectiveness of the proposed WECoOp model, a benchmark case is established by implementing a normal microgrid energy management scheme while assuming the water is only supplied from the main water system. The case studies demonstrate the proposed water-energy co-optimization model can achieve significant operating cost savings.","PeriodicalId":123077,"journal":{"name":"2021 North American Power Symposium (NAPS)","volume":"29 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":"132253061","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: 3

Resiliency Planning and Analysis Tool for the Power Grid with Hydro Generation and DERs 水电和DERs电网弹性规划与分析工具

2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654648

Asmita Acharya, Sanjeev Pannala, A. Srivastava, Sanjita R. Bhavirisetty

{"title":"Resiliency Planning and Analysis Tool for the Power Grid with Hydro Generation and DERs","authors":"Asmita Acharya, Sanjeev Pannala, A. Srivastava, Sanjita R. Bhavirisetty","doi":"10.1109/NAPS52732.2021.9654648","DOIUrl":"https://doi.org/10.1109/NAPS52732.2021.9654648","url":null,"abstract":"High-impact low-probability (HILP) events such as hurricanes, snow storms, heat waves, and floods cause widespread power outages and blackouts. With the increasing challenges concerning the threats to the power systems and the growing need to mitigate the impacts of the HILP events, resilience has become a crucial desirable characteristic for the power grid infrastructures. The operators within the control center of the power grid need to analyze previous threats as well as predict other possible threats so that pre-planning can be done to mitigate its impact on the overall power system. This paper explains the development of planning and analysis tool for the resilient power grid with hydro generation and distributed energy resources (DERs). Hydro resources need to be coordinated with DERs to meet the grid resilience requirements while meeting water constraints. We discussed in detail the importance of the tool and its functionality taking isolated power system with hydro and DERs, and grid connected utility system as case studies. This tool facilitates the operator to identify the possible threats so that they can visualize and prepare strategies for assets safety, maintain inventory, alert customers beforehand, and reduce its impact on system resilience. Finally, the qualitative assessment of the tool's ability is presented to explain its contribution and effectiveness. It includes details about how investing in smart grid technologies such as remote-controlled switches, Distributed Energy Resources (DERs) and increased distribution automation can be beneficial for resilience enhancement.","PeriodicalId":123077,"journal":{"name":"2021 North American Power Symposium (NAPS)","volume":"30 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":"134387297","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

Impact of EV Charging Load Uncertainty as Gaussian Mixtures Model on System Performance 基于高斯混合模型的电动汽车充电负荷不确定性对系统性能的影响

2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654268

Bo Chen, Y. Chen

引用次数: 2

A Hybrid Machine Learning Approach to Wave Energy Forecasting 波浪能预测的混合机器学习方法

2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654609

Naveen Kumar Kodanda Pani, Vijeta Ashok Jha, Linquan Bai, L. Cheng, Tiefu Zhao

引用次数: 3

A Novel Control Scheme for TransZSI-DVR to Enhance Power Quality in Solar Integrated Networks 提高太阳能综合电网电能质量的TransZSI-DVR控制新方案

2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654507

A. Moghassemi, S. Ebrahimi, F. Ferdowsi

引用次数: 6

Weather-Aware Data-Driven Microgrid Energy Management Using Deep Reinforcement Learning 使用深度强化学习的天气感知数据驱动的微电网能源管理

2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654550

Amin Shojaeighadikolaei, Arman Ghasemi, Alexandru G. Bardas, R. Ahmadi, M. Hashemi

{"title":"Weather-Aware Data-Driven Microgrid Energy Management Using Deep Reinforcement Learning","authors":"Amin Shojaeighadikolaei, Arman Ghasemi, Alexandru G. Bardas, R. Ahmadi, M. Hashemi","doi":"10.1109/NAPS52732.2021.9654550","DOIUrl":"https://doi.org/10.1109/NAPS52732.2021.9654550","url":null,"abstract":"In this paper, we develop a deep reinforcement learning (DRL) framework to manage distributed energy resources (DER) in a prosumer-centric microgrid under generation uncertainties. The uncertainty stems from varying weather conditions (i.e., sunny versus cloudy days) that impact the power generation of the residential solar photo-voltaic (PV) panels. In our proposed system model, the microgrid consists of traditional power consumers, prosumers with local battery storage, and the distributor. The prosumers and distributor are equipped with artificial intelligence (AI) agents that interact with each other to maximize their long-term reward. We investigate the impact of weather conditions on the energy storage charging/discharging, as well as the amount of power injected into the microgrid by the prosumers. To show the efficacy of the proposed approach, we implement the DRL framework using Deep-Q Network (DQN). Our numerical results demonstrate that the proposed distributed energy management algorithm can efficiently cope with the generation uncertainties, and it is robust to weather prediction errors. Finally, our results show that adopting energy storage systems on the residential side can alleviate the power curtailment during generation surplus.","PeriodicalId":123077,"journal":{"name":"2021 North American Power Symposium (NAPS)","volume":"37 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":"125440632","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: 8

Transient Stability Prediction Based on Long Short-term Memory Network 基于长短期记忆网络的暂态稳定性预测

2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654462

Qilin Wang, C. Pang, Hashim Alnami

{"title":"Transient Stability Prediction Based on Long Short-term Memory Network","authors":"Qilin Wang, C. Pang, Hashim Alnami","doi":"10.1109/NAPS52732.2021.9654462","DOIUrl":"https://doi.org/10.1109/NAPS52732.2021.9654462","url":null,"abstract":"Transient stability assessment (TSA) has always been one of the most challenging problems in power system security and operations due to the rapid growth of electricity demand. The transient stability of power systems should be taken in advance to maintain the system stable. In recent years, a variety of Artificial Intelligence (AI) methods have been applied to the transient stability analysis, including Artificial Neural Network (ANN), Support Vector Machine (SVM) and some other technologies. In this paper, a transient stability prediction method using Long Short-term Memory (LSTM) network based Recurrent Neural Network (RNN) is discussed. Case studies using Multi-layer SVM on the IEEE 9 bus system is adopted as a benchmark to validate the proposed method. Then, the method is performed on the New-England 39 bus system to test the validity. The training and testing data of the LSTM network for the new approach are obtained by performing the time-domain simulation (TDS) on the New-England 39-Bus System in PSAT (Power System Analysis Toolbox) toolbox. Simulation results show that the proposed method exhibits significantly better classification accuracy on predicting the stability, which demonstrates the effectiveness of the proposed approach.","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":"129275544","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

Power Sharing and Stability Assurance using Grid Forming Inverter Control in HVDC Connected Offshore Microgrid Cluster 基于成网逆变器控制的高压直流并网离岸微电网集群电力共享与稳定保障

2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654748

Faria Kamal, Prithwiraj Roy Chowdhury, B. Chowdhury, M. Manjrekar

引用次数: 1