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2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)最新文献

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Energy Savings Using Direct Current (DC) from Photovoltaic (PV) System in a Residential Home 住宅中使用光伏(PV)系统的直流(DC)节能
2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) Pub Date : 2019-10-24 DOI: 10.1109/ISGT-Asia.2019.8881542
Y. Z. Luo, T. Lie
{"title":"Energy Savings Using Direct Current (DC) from Photovoltaic (PV) System in a Residential Home","authors":"Y. Z. Luo, T. Lie","doi":"10.1109/ISGT-Asia.2019.8881542","DOIUrl":"https://doi.org/10.1109/ISGT-Asia.2019.8881542","url":null,"abstract":"The conventional AC nanogrid with photovoltaic (PV) system has suffered from power loss caused by power conversion from DC to AC and back to DC for most of the end use in a typical residential home. To overcome the problem, DC nanogrid is proposed in this paper. Partial and full DC nanogrids are designed and their efficiencies are compared with a full AC nanogird. The simulation study results show that partial DC nanoogrid has 79.2% of overall efficiency while AC nanoogrid has 71.87%. Furthermore, the efficiency is improved to 99.74% for a full DC nanogrid. It proves the less amount of power conditioners used in the system the higher the efficiency can be obtained. Moreover, an economic evaluation is conducted on the proposed two DC nanogrids to investigate whether they are sustainable and feasible. From the simulation studies conducted, it is shown that partial DC nanogrid saves electricity bill and capital cost but full DC nanogrid is not feasible even if it saves electricity bill spectacularly high but it needs extremely expensive capital cost.","PeriodicalId":257974,"journal":{"name":"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128942590","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
Feasibility Study to Install a 1 MW Grid Connected Solar Plant in Wairoa-Mahia Peninsular, New Zealand 在新西兰Wairoa-Mahia半岛安装1兆瓦并网太阳能发电厂的可行性研究
2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) Pub Date : 2019-10-24 DOI: 10.1109/ISGT-Asia.2019.8881464
A. Liu, T. Lie
{"title":"Feasibility Study to Install a 1 MW Grid Connected Solar Plant in Wairoa-Mahia Peninsular, New Zealand","authors":"A. Liu, T. Lie","doi":"10.1109/ISGT-Asia.2019.8881464","DOIUrl":"https://doi.org/10.1109/ISGT-Asia.2019.8881464","url":null,"abstract":"This study intends to investigate the voltage drop issue along the Mahia distribution network (11kV line) and further assess the feasibility of developing a grid tied 1MW solar farm in Wairoa District, New Zealand. The objective is to provide the solution for Wairoa’s local distribution Company to mitigate Voltage drops and increasing summer load demand arising due to the influx of visitors (est. spike of 800 to 3-5000 visitor’s over a 2-week period) to Mahia Peninsular. Furthermore, a solution to avoid transmission charges, increase supply security, reducing peak load demand and aim at substituting the non-environmental friendly operated 1MW diesel generator in Mahia.","PeriodicalId":257974,"journal":{"name":"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"299 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114428107","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
Review of Machine Learning in Power System 电力系统机器学习研究进展
2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) Pub Date : 2019-10-24 DOI: 10.1109/ISGT-Asia.2019.8881330
Zhibo Ma, Chi Zhang, Chen Qian
{"title":"Review of Machine Learning in Power System","authors":"Zhibo Ma, Chi Zhang, Chen Qian","doi":"10.1109/ISGT-Asia.2019.8881330","DOIUrl":"https://doi.org/10.1109/ISGT-Asia.2019.8881330","url":null,"abstract":"The trend of decentralisation and decarbonisation have been developed over the years. This has brought certain challenges to the prediction and control of the energy system using conventional method. There are some recent technology breakthrough in Machine Learning which has made some of the objectives achievable in many different aspects especially for the non-linear tasks. This paper has focused on reviewing the available machine learning technologies applied on the fault forecasting and load forecasting in power system.","PeriodicalId":257974,"journal":{"name":"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124681106","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
A Very Short-term Forecasting Approach for Virtual Power Plant Using a Self-adaptive Hybrid Algorithm 基于自适应混合算法的虚拟电厂超短期预测方法
2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) Pub Date : 2019-05-21 DOI: 10.1109/ISGT-Asia.2019.8881352
Yu Zhu, Q. Lu, Yinguo Yang, Bo Li, Yingming Lin, Yan Tan, Zhongkai Yi, Kang Wang, Yinliang Xu
{"title":"A Very Short-term Forecasting Approach for Virtual Power Plant Using a Self-adaptive Hybrid Algorithm","authors":"Yu Zhu, Q. Lu, Yinguo Yang, Bo Li, Yingming Lin, Yan Tan, Zhongkai Yi, Kang Wang, Yinliang Xu","doi":"10.1109/ISGT-Asia.2019.8881352","DOIUrl":"https://doi.org/10.1109/ISGT-Asia.2019.8881352","url":null,"abstract":"Virtual power plant (VPP) emerges as a new concept to promote the efficient utilization of renewable energy resources (RES) and flexible loads. RES forecasting approach is an important item to ensure the stability and economy in VPP dispatching and bidding. In this paper, considering multienvironmental factors, a very short-term photovoltaic (PV) forecasting approach based on a self-adaptive simulated annealing hybrid genetic algorithm (SA-GA) and backpropagation neural network (BP) algorithm is proposed. Numerical studies illustrate that the proposed approach achieves a satisfactory forecasting accuracy and offers a high computation efficiency, which indicates its promising application value in RES forecasting for VPP.","PeriodicalId":257974,"journal":{"name":"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127895157","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
Automatic Simulation of Active Distribution Network Based on Multi-Agent Technology 基于多智能体技术的有源配电网自动仿真
2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) Pub Date : 2019-05-21 DOI: 10.1109/ISGT-Asia.2019.8881103
Tianyou Li, Zhixuan Liu, Yanxin Chai, Yue Xiang, Junyong Liu, ZeMing Li
{"title":"Automatic Simulation of Active Distribution Network Based on Multi-Agent Technology","authors":"Tianyou Li, Zhixuan Liu, Yanxin Chai, Yue Xiang, Junyong Liu, ZeMing Li","doi":"10.1109/ISGT-Asia.2019.8881103","DOIUrl":"https://doi.org/10.1109/ISGT-Asia.2019.8881103","url":null,"abstract":"With the high increasing penetration of renewable energy, it is difficult to meet the investment development requirements of active distribution network with multi-agent access by traditional way. Therefore, a model of operation sample automation simulation based on multi-agent and technical path is proposed in this paper. The agent models are built with the characteristics of DG, energy storage (ES) and flexible loads, it proposed an automation coordinated strategy by grid agent guidance in this paper. At the same time, in order to improve the utilization efficiency of multi-agent in active distribution network, the model considers load growth and the change of technology path to analyze the economic operation ability under different schemes. The results of the model are verified which by following the development of technology path to realize the simulation of long-time scale of active distribution network.","PeriodicalId":257974,"journal":{"name":"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132163671","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
Decentralized MPC-Based Frequency Control of Networked Microgrids 基于分散mpc的网络化微电网频率控制
2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) Pub Date : 2019-05-21 DOI: 10.1109/ISGT-Asia.2019.8881316
Kun Liu, Tao Liu, D. Hill
{"title":"Decentralized MPC-Based Frequency Control of Networked Microgrids","authors":"Kun Liu, Tao Liu, D. Hill","doi":"10.1109/ISGT-Asia.2019.8881316","DOIUrl":"https://doi.org/10.1109/ISGT-Asia.2019.8881316","url":null,"abstract":"This paper proposes a decentralized model predictive control (MPC)-based controller to regulate the frequency of off-grid networked microgrid systems with voltage-sensitive loads. By actively utilizing the load voltage sensitivity, the proposed controller regulates the system frequency through operating voltages. Meanwhile, the MFC technique enables the controller to produce adaptive frequency control signals with voltage constraints considered based on the changing system conditions. The proposed controller provides fast frequency control without introducing batteries or causing customer dissatisfaction. Furthermore, as no communication is needed among microgrids, the communication and computation burden is greatly relieved. Simulation results on a modified IEEE benchmark system demonstrate the effectiveness of the proposed controller.","PeriodicalId":257974,"journal":{"name":"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132687533","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
Optimal Planning of Multi-Carrier Energy Hub System Using Particle Swarm Optimization 基于粒子群算法的多载波能量轮毂系统优化规划
2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) Pub Date : 2019-05-21 DOI: 10.1109/ISGT-Asia.2019.8880925
Alaa Farah, H. Hassan, K. Kawabe, T. Nanahara
{"title":"Optimal Planning of Multi-Carrier Energy Hub System Using Particle Swarm Optimization","authors":"Alaa Farah, H. Hassan, K. Kawabe, T. Nanahara","doi":"10.1109/ISGT-Asia.2019.8880925","DOIUrl":"https://doi.org/10.1109/ISGT-Asia.2019.8880925","url":null,"abstract":"The present paper introduces a particle swarm optimization (PSO) algorithm to define the optimal combination of the energy hub infrastructures and the optimal scheduling of natural gas energy, wood chips biomass energy and electrical energy that guarantee economical operation of energy hub. Three objective functions are considered during the study: minimizing net present cost, minimizing total CO2 emission and minimizing both net present cost and CO2 emission simultaneously. Simulation results prove the effectiveness of proposed PSO to find the optimal energy hub scheduling. The results show that a natural gas turbine (NGT) is superior to biomass generation unit in reducing the total operating cost. On the other hand, biomass wood chips generator is superior to NGT in reducing total CO2 emission. The results show that using a mix of NGT and biomass generator can enhance the system performance of the energy hub by minimizing both total operating cost and CO2emissions simultaneously.","PeriodicalId":257974,"journal":{"name":"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134603689","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 Peak Regulation Ancillary Service Optimal Dispatch Method of Virtual Power Plant Based on Reinforcement Learning 基于强化学习的虚拟电厂调峰辅助服务优化调度方法
2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) Pub Date : 2019-05-21 DOI: 10.1109/ISGT-Asia.2019.8881083
L. Ya, Zhang Deliang, Wang Xuanyuan
{"title":"A Peak Regulation Ancillary Service Optimal Dispatch Method of Virtual Power Plant Based on Reinforcement Learning","authors":"L. Ya, Zhang Deliang, Wang Xuanyuan","doi":"10.1109/ISGT-Asia.2019.8881083","DOIUrl":"https://doi.org/10.1109/ISGT-Asia.2019.8881083","url":null,"abstract":"With the development of power market reform in China, the market trading mechanism has been improved. Auxiliary service market has become an important part in current market transaction reform. As an effective form of user side participating in power grid market transaction, virtual power plant(VPP) is expected to become an important auxiliary service provider. This paper proposes the basic structure of VPP under energy Internet and analyzes the response characteristics of distributed energy resource. A peak regulation auxiliary service optimization dispatch method of VPP based on reinforcement learning algorithm is proposed to solve the operation optimization problem of VPP participating in the peak regulation auxiliary service market. Based on the strong adaptability of reinforcement learning, this method can meet the operation control requirements of different scenarios and different types of VPPs. Finally, a case study is constructed based on the actual data of a VPP demonstration project in Northern Hebei of China, which verifies the effectiveness of the proposed method.1","PeriodicalId":257974,"journal":{"name":"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114273048","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: 6
Influence Analysis of Voltage Loss on Similarity Calculation 电压损耗对相似度计算的影响分析
2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) Pub Date : 2019-05-21 DOI: 10.1109/ISGT-Asia.2019.8881745
Zeyang Tang, Xiaodong Yu, Kan Cao, Xin Shu, Bingke Yan, Defu Cai, Li Wan, Kunpeng Zhou, Lei Wan, Jie Xing, Hongyan Zhou
{"title":"Influence Analysis of Voltage Loss on Similarity Calculation","authors":"Zeyang Tang, Xiaodong Yu, Kan Cao, Xin Shu, Bingke Yan, Defu Cai, Li Wan, Kunpeng Zhou, Lei Wan, Jie Xing, Hongyan Zhou","doi":"10.1109/ISGT-Asia.2019.8881745","DOIUrl":"https://doi.org/10.1109/ISGT-Asia.2019.8881745","url":null,"abstract":"The operation data, such as voltage data whose similarity has been analyzed to verify distribution network connectivity. However, many influence factors will affect voltage data, such as voltage loss, measuring errors, clocks asynchrony and so on. This will result in the inaccuracy of similarity calculation and make trouble to verify Distribution network topology (DNT). This paper mainly focuses on the influence of voltage loss on similarity calculation. Correlation analysis, morphology similarity distance and dynamic time warping are used to calculate similarity. The results of the three methods which used to calculate similarity have been analyzed and compared. Results show that in order to avoid obtaining wrong similarity calculation results, the correlation analysis is recommended compared with morphology similarity distance (MSD) and dynamic time warping (DTW).","PeriodicalId":257974,"journal":{"name":"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116236386","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
Data-driven Localization of Forced Oscillations in Power Systems 电力系统强迫振荡的数据驱动定位
2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) Pub Date : 2019-05-21 DOI: 10.1109/ISGT-Asia.2019.8881530
Wenqing Li, Tong Huangz, Nikolaos M. Frerisy, P. R. Kumarz, Le Xiez
{"title":"Data-driven Localization of Forced Oscillations in Power Systems","authors":"Wenqing Li, Tong Huangz, Nikolaos M. Frerisy, P. R. Kumarz, Le Xiez","doi":"10.1109/ISGT-Asia.2019.8881530","DOIUrl":"https://doi.org/10.1109/ISGT-Asia.2019.8881530","url":null,"abstract":"This paper proposes a data-driven approach to locating the source of forced oscillations, which constitutes an important practical requirement for the normal operation of power systems. The source of forced oscillations is pinpointed by conducting Causality Analysis based on PMU measurements. In order to obtain the portion of PMU data for Causality Analysis in nearly real-time, Sparse Principal Component Analysis is leveraged to determine the starting point of forced oscillations. The effectiveness of the proposed approach is tested in the IEEE 68-bus benchmark system. Extensive simulation results showcase that the proposed method can achieve higher accuracy in comparison with a recent localization algorithm, without assuming any knowledge of system model parameters.","PeriodicalId":257974,"journal":{"name":"2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123731361","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
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