International Journal of Smart Grid and Clean Energy最新文献_第4页

Battery energy storage system for peak shaving and voltage unbalance mitigation 电池储能系统的调峰和电压不平衡缓解

International Journal of Smart Grid and Clean Energy Pub Date : 1900-01-01 DOI: 10.12720/SGCE.2.3.357-363

K. Chua, Y. Lim, S. Morris

{"title":"Battery energy storage system for peak shaving and voltage unbalance mitigation","authors":"K. Chua, Y. Lim, S. Morris","doi":"10.12720/SGCE.2.3.357-363","DOIUrl":"https://doi.org/10.12720/SGCE.2.3.357-363","url":null,"abstract":"Over the last decade, the battery energy storage system (BESS) has become one of the important components in smart grid for enhancing power system performance and reliability. This paper presents a strategy to shave the peak demand and mitigate the voltage unbalance of the electrical networks using a BESS. The BESS is developed to reduce the peak demand and consequently the electricity bill of customers. With the foreseeable large use of BESS, the stress of utility companies can be reduced during high peak power demands. BESS is also equipped with the ability to mitigate voltage unbalance of the network. This indirectly improves the efficiency which in turn, prolongs the life span of three phase machines. The proposed strategy to control BESS has been developed by using the LabVIEW TM graphical programming software. An experimental test bed has been setup at the Universiti Tunku Abdul Rahman (UTAR) campus to evaluate the performance of the system. The experimental results show that the BESS can effectively restrict the power demand from exceeding the pre-determined value and suppress the voltage unbalance factor within the recommended value.","PeriodicalId":247617,"journal":{"name":"International Journal of Smart Grid and Clean Energy","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123751446","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: 38

A specter of logical challenges haunts smart grid 逻辑挑战的幽灵一直困扰着智能电网

International Journal of Smart Grid and Clean Energy Pub Date : 1900-01-01 DOI: 10.12720/SGCE.2.3.383-397

N. Khan, S. Rauf, N. Abas, A. Kalaira

{"title":"A specter of logical challenges haunts smart grid","authors":"N. Khan, S. Rauf, N. Abas, A. Kalaira","doi":"10.12720/SGCE.2.3.383-397","DOIUrl":"https://doi.org/10.12720/SGCE.2.3.383-397","url":null,"abstract":"Smart and super grid visions have attracted electrical engineers worldwide. Smart grid offers innumerable advantages over conservative electric grid due to widespread integration of information and communication technologies (ICT). Information technology (IT) stimulates conscious in dumb electric grid hardware to think at its own how to operate economically in varying load conditions conducting real-time state estimation. Smart grid promises to offer bidirectional power flow capability and self-healing ability against faults. Advance metering infrastructures (AMI) help utilities track down power thefts supplying consumer home automation facilities. Smart grid helps stiff utilities to reduce operational losses and generation deficient utilities to implement live load shedding instead of revolving blackouts to help customers keeping their lights on during virtual load shedding. Smart grid promises package is subject to its complete implementation by the end of long road ahead. Communication capacity and speed limitations, cyber security risks, faults and traffic congestions have to be considered prior to rollout. This paper describes a live load shedding scheme for existing electric grids on 11kV feeders using smart grid option and evaluates technical, economic, societal and bio-effects challenges that smart grid vision might face ahead.","PeriodicalId":247617,"journal":{"name":"International Journal of Smart Grid and Clean Energy","volume":"151 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125400513","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

Machine learning based maximum power point tracking in solar energy conversion systems 基于机器学习的太阳能转换系统最大功率点跟踪

International Journal of Smart Grid and Clean Energy Pub Date : 1900-01-01 DOI: 10.12720/sgce.8.6.662-669

M. Memaya, C. Moorthy, Sahitya Tahiliani, S. Sreeni

{"title":"Machine learning based maximum power point tracking in solar energy conversion systems","authors":"M. Memaya, C. Moorthy, Sahitya Tahiliani, S. Sreeni","doi":"10.12720/sgce.8.6.662-669","DOIUrl":"https://doi.org/10.12720/sgce.8.6.662-669","url":null,"abstract":"Extraction of solar energy from photovoltaic cells has different efficiencies corresponding to different algorithms. In the paper, a power efficient algorithm is suggested for tracking of maximum power point (MPP) in solar energy conversion systems by implementing machine learning (ML) in the pre-existing perturb and observe (P&O) methodology. P&O works on the principle of varying duty cycles step by step in the direction of the MPP and is the most feasible and accurate algorithm. However, the speed of convergence to the MPP is usually less in this method and it varies in different climatic conditions. This paper describes the application of ML in decreasing the perturbation time significantly leading to the significant increase in the efficiency to predict the MPP. The suggested algorithm predicts an MPP based on instantaneous values of solar irradiation, solar cell temperature and humidity as input features to the localized multivariate regression ML model and is used to fetch maximum available power (MAP). It is a self-learning algorithm and as the time progresses, the estimation becomes much closer to the theoretically available power. The simulation was done in python and yielded an average efficiency of 99.8% in estimating the MPP after 83 hours of training.","PeriodicalId":247617,"journal":{"name":"International Journal of Smart Grid and Clean Energy","volume":"2007 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125567692","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: 7

Forthcoming smart DC nano-grid for green buildings—A reflective vision 即将到来的绿色建筑智能直流纳米电网——一个反思的愿景

International Journal of Smart Grid and Clean Energy Pub Date : 1900-01-01 DOI: 10.12720/SGCE.4.1.52-58

M. Shwehdi, Mohammed A. AlAqil

引用次数: 4

Risk Assessment of Wind Generation Dispatch Using Monte Carlo Simulation 基于蒙特卡罗模拟的风力发电调度风险评估

International Journal of Smart Grid and Clean Energy Pub Date : 1900-01-01 DOI: 10.12720/SGCE.2.2.258-263

M. Shaaban, M. Usman

引用次数: 9

Optimal operation of integrated electrical, district heating and natural gas system in wind dominated power system 风电系统中电气、区域供热和天然气一体化系统的优化运行

International Journal of Smart Grid and Clean Energy Pub Date : 1900-01-01 DOI: 10.12720/SGCE.9.2.237-246

Ana Turk, Q. Zeng, Qiuwei Wu, A. Nielsen

{"title":"Optimal operation of integrated electrical, district heating and natural gas system in wind dominated power system","authors":"Ana Turk, Q. Zeng, Qiuwei Wu, A. Nielsen","doi":"10.12720/SGCE.9.2.237-246","DOIUrl":"https://doi.org/10.12720/SGCE.9.2.237-246","url":null,"abstract":"Nowadays, installed capacity of renewable energy sources is increasing at a high rate and even higher increase is expected in the future. In order to accommodate renewable energy sources, integration of gas, electricity and district heating network is a promising solution. This paper provides a coordinated operation and analysis of electricity, district heating and natural gas system with integrated wind farm. The interactions among different energy sectors will provide more flexibility required by the future renewable energy system. A nonlinear optimization problem is presented with focus on decreasing the operational cost and improving efficiency of integrated system, as well as meeting the demands. Optimal operation is performed for a test case system including constraints of individual systems and linkages between each of the systems. The test system includes electrical, district heating and natural gas subsystem with thermal and gas storages, combined heat and power and power to gas units and wind turbine. Simulation results show that integration of electricity, heating and natural gas system decreases the operational cost and provides higher flexibility to the system. Moreover, wind curtailment is reduced with integration of P2G.","PeriodicalId":247617,"journal":{"name":"International Journal of Smart Grid and Clean Energy","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116621528","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

Energy-Saving technology of axial flow fan used in air-conditioning system 轴流风机在空调系统中的节能技术

International Journal of Smart Grid and Clean Energy Pub Date : 1900-01-01 DOI: 10.12720/SGCE.6.2.114-118

C. Lee, Hyo Sang Kim, Hwan Geol Yeo

引用次数: 0

Coordinated frequency regulation by offshore wind farms and VSC-HVDC transmission 海上风电场和VSC-HVDC传输的协调频率调节

International Journal of Smart Grid and Clean Energy Pub Date : 1900-01-01 DOI: 10.12720/SGCE.3.1.1-7

Hongzhi Liu, Zhe Chen

引用次数: 5

Size of a distributed electrical storage for a rural area with a wind farm 有风电场的农村地区分布式电力存储的大小

International Journal of Smart Grid and Clean Energy Pub Date : 1900-01-01 DOI: 10.12720/sgce.9.1.1-7

J. Üpping, F. Bollhöfer, K. Forche

引用次数: 1

Loss and load reduction by coordinated control of community energy storage and OLTC 社区储能与OLTC协同控制的减损减负荷

International Journal of Smart Grid and Clean Energy Pub Date : 1900-01-01 DOI: 10.12720/SGCE.5.2.86-93

J. Chang, K. Kang, Gyu-Sub Lee, Jin-Oh Lee, S. Moon

{"title":"Loss and load reduction by coordinated control of community energy storage and OLTC","authors":"J. Chang, K. Kang, Gyu-Sub Lee, Jin-Oh Lee, S. Moon","doi":"10.12720/SGCE.5.2.86-93","DOIUrl":"https://doi.org/10.12720/SGCE.5.2.86-93","url":null,"abstract":"Renewable energy sources are usually integrated with a distribution system through a small-size-generator with low voltage level. As a consequence, distributed energy storage systems have been connected to a distribution system to help with renewable energy resources integration. Community Energy Storage (CES) is a small distributed energy storage connected to the secondary part of a transformer and is an advanced energy storage system close to the customer. CES provides many benefits such as peak shaving, load shifting and voltage control. Meanwhile, distribution system operators conduct Conservation Voltage Reduction (CVR) to reduce power consumption in the system. To implement CVR on the system, flat voltage profile is required. CES is distributed in the distribution system and is capable of controlling system voltage. In this paper, a control method of CES is proposed in order to implement CVR. Based on day-ahead load forecasting, power consumption including load demand and active power loss is reduced by the optimal schedule of CES output power and On-Load Tap-Changer (OLTC) operation. With a case study using Matpower, this paper validates the effect of the proposed method.","PeriodicalId":247617,"journal":{"name":"International Journal of Smart Grid and Clean Energy","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129055819","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