2019 IEEE Industry Applications Society Annual Meeting最新文献_第10页

Selective Power Conditioning in Two-Phase Three-Wire Systems Based on the Conservative Power Theory 基于保守功率理论的两相三线系统选择性功率调节

2019 IEEE Industry Applications Society Annual Meeting Pub Date : 2019-09-01 DOI: 10.1109/IAS.2019.8911909

A. Alonso, H. Paredes, José A. O. Filho, J. Bonaldo, D. Brandão, F. Marafão

引用次数: 3

Multi-time scale coordinated scheduling for the combined system of wind power, photovoltaic, thermal generator, hydro pumped storage and batteries 风电、光伏、火电、抽水蓄能和蓄电池组合系统的多时间尺度协调调度

2019 IEEE Industry Applications Society Annual Meeting Pub Date : 2019-09-01 DOI: 10.1109/IAS.2019.8912335

S. Xia, Zhaohao Ding, T. Du, Dongying Zhang, H. Yin

{"title":"Multi-time scale coordinated scheduling for the combined system of wind power, photovoltaic, thermal generator, hydro pumped storage and batteries","authors":"S. Xia, Zhaohao Ding, T. Du, Dongying Zhang, H. Yin","doi":"10.1109/IAS.2019.8912335","DOIUrl":"https://doi.org/10.1109/IAS.2019.8912335","url":null,"abstract":"Grid connection of random renewable energy such as wind power and photovoltaic results in difficulties of keeping power balance for power system operation. In order to solve this problem, this paper proposed a multi-time scale coordinated scheduling model for the combined system of Wind power-Photovoltaic-Thermal generator-Hydro pumped storage-Battery (WPTHB) by taking advantages of their complementary operation characteristics. The scheduling model is composed of three time scales: the day-ahead scheduling, the 1-hour ahead scheduling and 15-minute ahead scheduling. 1) in the day-ahead scheduling, based on the day-ahead forecast data of Wind-Photovoltaic power and Load demand (WPL), the optimal power outputs of thermal power units in 24 hours are solved from a mix integer linear programing (MILP) model to achieve the minimal operation cost of thermal units. 2) In the 1-hour ahead scheduling, based on power outputs of thermal units solved in the day-ahead scheduling and the 1-hour-ahead forecasted WPL, the hydro pumped storage power output is optimized to achieve its minimal operation cost. 3) In the 15-minute ahead scheduling, based on the day-ahead optimal power outputs of thermal units and the 1-hour ahead optimal outputs of pumped storages, the battery optimal power generation is obtained from a AC optimal power flow model solved by MATPOWER. Simulations of New England system validate that the proposed multi-time scale coordinated scheduling model could fully explore the different power regulation speeds and capacity of hydro pumped storages, thermal power generators and batteries to effectively alleviate WPL variations and achieve economic operation for multi-source generation systems.","PeriodicalId":376719,"journal":{"name":"2019 IEEE Industry Applications Society Annual Meeting","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126954586","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: 11

Decentralized PMU Placements in a Dynamic Programming Approach 动态规划方法中的分散PMU放置

2019 IEEE Industry Applications Society Annual Meeting Pub Date : 2019-09-01 DOI: 10.1109/IAS.2019.8912329

Xian-Chang Guo, Chung-Shou Liao, C. Chu

引用次数: 0

Distributed Energy Resource Overvoltage During Un-Intentional Islanding 非故意孤岛过程中的分布式能源过电压

2019 IEEE Industry Applications Society Annual Meeting Pub Date : 2019-09-01 DOI: 10.1109/IAS.2019.8911957

Le Chen, Jiecheng Zhao, Ren Liu, Francisco Velez-Cedeno, Hesen Liu, Yilu Liu

引用次数: 1

Single-Stage Standalone Lighting System Based on GaN Transistors 基于GaN晶体管的单级独立照明系统

2019 IEEE Industry Applications Society Annual Meeting Pub Date : 2019-09-01 DOI: 10.1109/IAS.2019.8912411

R. R. Duarte, Abner Campos, M. Costa, V. Bender, José Marcos Alonso Alvarez

{"title":"Single-Stage Standalone Lighting System Based on GaN Transistors","authors":"R. R. Duarte, Abner Campos, M. Costa, V. Bender, José Marcos Alonso Alvarez","doi":"10.1109/IAS.2019.8912411","DOIUrl":"https://doi.org/10.1109/IAS.2019.8912411","url":null,"abstract":"System efficiency is key to the development of standalone lighting systems as their overall cost is tied to the battery pack size and photovoltaic (PV) panel required to ensure system autonomy. Given the timing gap between energy production and consumption in standalone outdoor lighting systems, in this paper, we propose a single-stage solution using GaN-based transistors as main switching devices. When voltage levels are within certain requirements, this topology allows for the parallel connection of PV panel and LED load, eliminating the need for switching relays typically used in this type of converter, thus reducing system complexity and cost. During the daytime, the system operates as a synchronous buck converter, harvesting energy from a solar-powered panel to charge the battery. We use a maximum power point tracking (MPPT) algorithm to maximize harvested energy. At night, the circuit acts as a synchronous boost converter, draining the battery to supply the LED load. We developed a 100W prototype for experimental verification. In charging mode, the system presented an efficiency higher than 92% within the entire power range with 97.3% peak efficiency. In driver mode, 95.8% peak efficiency was achieved.","PeriodicalId":376719,"journal":{"name":"2019 IEEE Industry Applications Society Annual Meeting","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123771958","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

A Minimum Phase Dual Output Hybrid Converter for Off-Grid Applications 用于离网应用的最小相位双输出混合变换器

2019 IEEE Industry Applications Society Annual Meeting Pub Date : 2019-09-01 DOI: 10.1109/IAS.2019.8912386

A. Aman, Vinod Kumar Bussa, R. Singh

引用次数: 3

Optimum Energy Management of Islanded Nanogrids through Nonlinear Stochastic Dynamic Programming 基于非线性随机动态规划的孤岛纳米电网能量优化管理

2019 IEEE Industry Applications Society Annual Meeting Pub Date : 2019-09-01 DOI: 10.1109/IAS.2019.8912355

Andres Salazar, A. Berzoy, J. Mohammadpour, Wenzhan Song

{"title":"Optimum Energy Management of Islanded Nanogrids through Nonlinear Stochastic Dynamic Programming","authors":"Andres Salazar, A. Berzoy, J. Mohammadpour, Wenzhan Song","doi":"10.1109/IAS.2019.8912355","DOIUrl":"https://doi.org/10.1109/IAS.2019.8912355","url":null,"abstract":"Nanogrids (NGs) are small scale microgrids typically serving few buildings or loads. An islanded NG is an autonomous system that consists of generation units including renewable energy sources and traditional fuel generators, energy storage systems (ESS) and loads. This paper presents the design and validation of a new optimal energy management (EM) algorithm for an islanded NG. To minimize the generator's operating cost and maximize battery availability at each operating cycle, dynamic programming (DP) framework is employed to solve the underlying optimization problem. The goal of the proposed EM algorithm is to ensure both the use of maximum available solar power and optimal battery state of charge. To meet that goal, the management of the ESS is formulated as a stochastic optimal control problem, where nonlinearities in the battery charging and discharging process are considered. A Markov model is built in order to predict the probability distribution of the solar production used in the stochastic DP formulation. Simulation results are given to illustrate the efficacy of the proposed DP-based approach compared to a rule-based algorithm. Finally, a hardware-in-the-loop system is used to evaluate the real-time operation of the proposed EM algorithms.","PeriodicalId":376719,"journal":{"name":"2019 IEEE Industry Applications Society Annual Meeting","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125557342","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

Paper Index by Title 论文标题索引

2019 IEEE Industry Applications Society Annual Meeting Pub Date : 2019-09-01 DOI: 10.1109/IAS.2019.8912360

引用次数: 0

Non-Intrusive Appliance Identification with Appliance-Specific Networks 具有特定于设备的网络的非侵入式设备标识

2019 IEEE Industry Applications Society Annual Meeting Pub Date : 2019-09-01 DOI: 10.1109/IAS.2019.8912379

Zhaoyuan Fang, Dongbo Zhao, Chen Chen, Yang Li, Yuting Tian

{"title":"Non-Intrusive Appliance Identification with Appliance-Specific Networks","authors":"Zhaoyuan Fang, Dongbo Zhao, Chen Chen, Yang Li, Yuting Tian","doi":"10.1109/IAS.2019.8912379","DOIUrl":"https://doi.org/10.1109/IAS.2019.8912379","url":null,"abstract":"Non-Intrusive Load Monitoring (NILM) is a technique for load identification and energy disaggregation. The problem is usually formulated as a single-channel blind source separation. NILM algorithms aim to identify the operating characteristics of individual appliances from aggregate power measurement. Recent advances in deep learning gave rise to many methods that mostly focus on learning a direct mapping from aggregate measurement to individual appliance power, but these methods often suffer from overfitting and don't generalize well. In this paper, we propose a novel NILM method that leverages advances in both supervised and unsupervised learning techniques. The proposed method consists of three stages: a) a Bayesian non-parametric learning-based approach is used to extract appliance states; b) synthetic minority oversampling technique (SMOTE) is employed to mitigate the heavy imbalance in switching events present in the NILM problem; and c) lightweight long short-term memory (LSTM) networks are employed for status classification for each appliance. We argue that making the differences before and after the switching event as the input to the networks can reduce complexity of network training and makes the proposed method robust to multi-appliance scenarios. Experiments are conducted to demonstrate the effectiveness of the proposed method, achieving better performance when compared to recent methods. Furthermore, an ablation study is conducted to demonstrate the effectiveness of each module of our method.","PeriodicalId":376719,"journal":{"name":"2019 IEEE Industry Applications Society Annual Meeting","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126245112","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: 15

Cooperative Multi-Agent based Distributed Power Sharing Strategy in Low Voltage Microgrids 基于协同多智能体的低压微电网分布式电力共享策略

2019 IEEE Industry Applications Society Annual Meeting Pub Date : 2019-09-01 DOI: 10.1109/IAS.2019.8912416

M. Rahman, T. Orchi, S. Saha, M. E. Haque

引用次数: 3