2019 29th Australasian Universities Power Engineering Conference (AUPEC)最新文献_第2页

Feedback Quantizer based Model Predictive Control for Inverters with Active Front End 基于反馈量化器的有源前端逆变器模型预测控制

2019 29th Australasian Universities Power Engineering Conference (AUPEC) Pub Date : 2019-11-01 DOI: 10.1109/AUPEC48547.2019.211837

S. M. Muslem Uddin, G. Mirzaeva

引用次数: 0

Electrical traction system implementation in a SCADA environment SCADA环境下电力牵引系统的实现

2019 29th Australasian Universities Power Engineering Conference (AUPEC) Pub Date : 2019-11-01 DOI: 10.1109/AUPEC48547.2019.211881

Md Abul Hasnat, R. Zivanovic, S. Al-Sarawi

{"title":"Electrical traction system implementation in a SCADA environment","authors":"Md Abul Hasnat, R. Zivanovic, S. Al-Sarawi","doi":"10.1109/AUPEC48547.2019.211881","DOIUrl":"https://doi.org/10.1109/AUPEC48547.2019.211881","url":null,"abstract":"In this paper we show how diakotics technique stands out as one of the best approaches to simulate and model a traction utility’s day-to-day system isolation-restoration switching programs. The presented approach splits a large complex traction network into smaller subsections that are solved independently, then reformed and optimised to the original network, while considering various conditions such as normal, abnormal and emergency. Solutions of network electrical subsections are combined to produce and map the correct representation of the network model switchgear to deenergized or energized the network state in real-time, at any given time. The proposed technique provides ‘safety first approach tool’ for a system switching, switching isolation- restoration steps, representation of the network’s isolation and energized system that mimics practical cases. The approach has been implemented as diakoptics technique based automated traction simulation tool. The tool allows electrical network bypass, extension and safety critical system improvement requirements. Also, has been verified and implemented in Adelaide tram traction systems. Further, it has been used as a familiarization, training and desktop practice switching environment for new employees.","PeriodicalId":301431,"journal":{"name":"2019 29th Australasian Universities Power Engineering Conference (AUPEC)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126891313","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

Area Controller for Steady State Voltage Management in Large Scale Wind Farm 大型风电场稳态电压管理的区域控制器

2019 29th Australasian Universities Power Engineering Conference (AUPEC) Pub Date : 2019-11-01 DOI: 10.1109/AUPEC48547.2019.211808

T. Costa, A. Mahdizadeh, Dr Tony Morton

{"title":"Area Controller for Steady State Voltage Management in Large Scale Wind Farm","authors":"T. Costa, A. Mahdizadeh, Dr Tony Morton","doi":"10.1109/AUPEC48547.2019.211808","DOIUrl":"https://doi.org/10.1109/AUPEC48547.2019.211808","url":null,"abstract":"The voltage control strategy in any generator is arguably the most important feature for grid integration. Grids with high penetration of variable renewable energy in non-traditional locations are susceptible to larger voltage variations that could lead to detrimental effects on the overall voltage profile of the network. In the Australian context, the voltage control strategy is bound by the National Electricity Rules, which apply to any generator seeking connection to the grid. The rules determine a set of parameters which can be negotiated during the connection process. For very large scale wind farms effectively composed of multiple smaller wind farms, an additional challenge is faced as the performance characteristics of the system are assessed at its connection point and interface with the Network Service Provider. The area controller described in this paper presents a novel method of managing the steady state conditions of a large scale wind farm (currently under construction in Australia) by adjusting the voltage setpoint of multiple local wind farm controllers performing fast voltage control.","PeriodicalId":301431,"journal":{"name":"2019 29th Australasian Universities Power Engineering Conference (AUPEC)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121478585","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

Harmonic Identification based on DSC and MAF for Three-phase Shunt Active Power Filter 基于DSC和MAF的三相并联有源电力滤波器谐波识别

2019 29th Australasian Universities Power Engineering Conference (AUPEC) Pub Date : 2019-11-01 DOI: 10.1109/AUPEC48547.2019.211898

M. Kashif, M. J. Hossain, S. M. Nawazish Ali, V. Sharma, M. Nizami

引用次数: 0

Capacitor-Less Bidirectional Synchronous Buck-Boost Converter for Vanadium Redox Flow Battery 钒氧化还原液流电池无电容双向同步降压变换器

2019 29th Australasian Universities Power Engineering Conference (AUPEC) Pub Date : 2019-11-01 DOI: 10.1109/AUPEC48547.2019.211936

Md. Parvez Akter, J. Bao, M. Skyllas-Kazacos, K. Alam, D. Xiao, M. F. Rahman

{"title":"Capacitor-Less Bidirectional Synchronous Buck-Boost Converter for Vanadium Redox Flow Battery","authors":"Md. Parvez Akter, J. Bao, M. Skyllas-Kazacos, K. Alam, D. Xiao, M. F. Rahman","doi":"10.1109/AUPEC48547.2019.211936","DOIUrl":"https://doi.org/10.1109/AUPEC48547.2019.211936","url":null,"abstract":"The reliability of power electronic converters is crucial for battery-based energy storage systems. This reliability is mostly influenced by the dc-link capacitors, which are employed for reducing the voltage and current fluctuations. The voltage or current ripples affect the battery state-of-health for different solid-state reaction-based battery technologies, including lead-acid and lithium-ion batteries. However, unlike solid-state reaction-based conventional battery technologies, the vanadium redox flow battery (VRB) features solution-based charge-discharge reactions. Therefore, the VRB system possesses much higher mass transfer rates and may not be affected by the voltage or current ripples. Considering this characteristic of VRB, a capacitor-less bidirectional synchronous buck-boost dc-dc converter is proposed in this paper. The proposed converter is operated in current control mode to charge or discharge the VRB system up to a certain level of state-of-charge (SOC). The average charging or discharging current is controlled by a PI controller. The operating principle of the proposed converter is explained in detail, and the performances are verified by the simulation results.","PeriodicalId":301431,"journal":{"name":"2019 29th Australasian Universities Power Engineering Conference (AUPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128057305","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

Modelling of Firm Offer from Combined Wind and Hydro Generations 风电和水电联合发电的确定报价建模

2019 29th Australasian Universities Power Engineering Conference (AUPEC) Pub Date : 2019-11-01 DOI: 10.1109/AUPEC48547.2019.211786

B. Chakrabarti, Brent Phillips, M. Al-Rawi, Sarla Kumari, Thamer Althobaiti

{"title":"Modelling of Firm Offer from Combined Wind and Hydro Generations","authors":"B. Chakrabarti, Brent Phillips, M. Al-Rawi, Sarla Kumari, Thamer Althobaiti","doi":"10.1109/AUPEC48547.2019.211786","DOIUrl":"https://doi.org/10.1109/AUPEC48547.2019.211786","url":null,"abstract":"This paper analyses the impact of a firm combined offer by wind and small hydro generators located in the river chain, with a view to address the intermittency of wind generators. Both generations are dispatchable and cleared against their offer prices. They offer a firm, hourly-schedule (WH schedule) for 24 hours ahead of real-time operation to an auction based locational marginal price (LMP) market with other generators offering to meet the system loads. The model network consists of other generators and loads at different buses. The scheduled power is taken off at a predetermined bus, as a load at the bus. This schedule must be met by the wind and hydro combined generations. If necessary, a notional thermal generation is available at a considerable higher price to meet the schedule, at the off-take point.The objective is to minimise the total supply cost for 24 hours and examine LMPs and constraint-on costs while respecting the given WH schedule, nodal power balance constraint, generation limits, branch flow and other limits. Discussion is based on New Zealand (NZ) Electricity Market rules, where generators are self-committed into the market. Three scenarios are studied, and the results presented.","PeriodicalId":301431,"journal":{"name":"2019 29th Australasian Universities Power Engineering Conference (AUPEC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132629617","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

Optimization of Hybrid Solar, Wind and Diesel Energy Systems from Economic Point of View 从经济角度优化太阳能、风能和柴油混合能源系统

2019 29th Australasian Universities Power Engineering Conference (AUPEC) Pub Date : 2019-11-01 DOI: 10.1109/AUPEC48547.2019.211861

Kaushal R. Patel, N. Das, M. M. K. Khan

{"title":"Optimization of Hybrid Solar, Wind and Diesel Energy Systems from Economic Point of View","authors":"Kaushal R. Patel, N. Das, M. M. K. Khan","doi":"10.1109/AUPEC48547.2019.211861","DOIUrl":"https://doi.org/10.1109/AUPEC48547.2019.211861","url":null,"abstract":"This paper mainly focuses for optimization of solar, wind and diesel with storage system (i.e., battery storage) for economic point of view and reduces the emission of greenhouse gases (GHG) at a small town using social, economic and technical analysis. Determine a possible solution for condense cost of electricity generation at Rottenest Island, Western Australia, Australia. For a feasible solution, diesel generator concept replaces to hybrid system considering different configurations, such as solar-wind and diesel hybrid system. These systems are evaluated by Hybrid Optimization Model of Electric Renewable (HOMER) software based on the real data for Rottenest Island in WA, Australia. The HOMERpro software reduces the unit cost of energy (COE) and net present cost (NPC) for various cases to reduce the CO2 emission of GHG for the generation system. In addition, the sensitivity results and optimization results are obtained from the input parameter, such as solar irradiation, wind speed and non-renewable inputs. Simulation results indicate that the hybrid system is substitute when associate with current and future development of electricity generation. The simulation results obtained from this analysis has confirmed a better combination of hybrid energy systems, which will not only increase the reliability of the hybrid system but also reduce the levelized cost of energy (LOCE). This paper demonstrated for the design of hybrid system using solar, wind and diesel for the reduction of GHG which are produced from only diesel generator at Rottenest Island. It also reduces the NPC and LOCE.","PeriodicalId":301431,"journal":{"name":"2019 29th Australasian Universities Power Engineering Conference (AUPEC)","volume":"340 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133752719","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

Modeling and Evaluation of Real-Time Energy Management Systems for Microgrids 微电网实时能源管理系统建模与评价

2019 29th Australasian Universities Power Engineering Conference (AUPEC) Pub Date : 2019-11-01 DOI: 10.1109/AUPEC48547.2019.211946

Wilson Bow, Yang Du, A. Louis

引用次数: 0

Transformation of Smart Grid using Machine Learning 利用机器学习实现智能电网的转型

2019 29th Australasian Universities Power Engineering Conference (AUPEC) Pub Date : 2019-11-01 DOI: 10.1109/AUPEC48547.2019.211809

S. Azad, F. Sabrina, S. Wasimi

{"title":"Transformation of Smart Grid using Machine Learning","authors":"S. Azad, F. Sabrina, S. Wasimi","doi":"10.1109/AUPEC48547.2019.211809","DOIUrl":"https://doi.org/10.1109/AUPEC48547.2019.211809","url":null,"abstract":"With the advent of distributed and renewable energy sources, maintaining the stability of power grid is becoming increasingly difficult. Traditional power grid can be transformed into a smart grid by augmenting it with information and communication technologies, and machine intelligence. Machine learning and artificial intelligence can enable smart grid to make intelligent decisions and respond to sudden changes in customer demands, power outages, sudden drops and rises in renewable energy output or any other catastrophic events. Machine learning can also help capture customer consumption patterns, forecast energy demand and power generation of intermittent sources, and predict equipment failures. Reinforced learning can aid in making energy dispatch decisions and activate demand management signals in order to maintain balance of power supply and demand. The usage of wireless technologies in smart grid renders it vulnerable to cyber security threats. With the increase in data volume, it is now possible to employ machine learning for the detection and prevention of anomalous behaviour, intrusion, cyber-attacks, and malicious activities as well as data authentication. This paper reviews the application of different machine learning approaches that aims at enhancing the stability, reliability, security, efficiency and responsiveness of smart grid. This paper also discusses some of the challenges in implementing machine learning solutions for smart grid.","PeriodicalId":301431,"journal":{"name":"2019 29th Australasian Universities Power Engineering Conference (AUPEC)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134464057","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: 14

Island Power System Operation with Single-Wire Earth Return (SWER), Solar PV and Diesel Generation –Marinduque, Philippines case study 采用单线接地回路(SWER)、太阳能光伏发电和柴油发电的岛屿电力系统运行——菲律宾marinduque案例研究

2019 29th Australasian Universities Power Engineering Conference (AUPEC) Pub Date : 2019-11-01 DOI: 10.1109/AUPEC48547.2019.214527

Ryan Jose Sumaya, B. Nkom, N. Nair

{"title":"Island Power System Operation with Single-Wire Earth Return (SWER), Solar PV and Diesel Generation –Marinduque, Philippines case study","authors":"Ryan Jose Sumaya, B. Nkom, N. Nair","doi":"10.1109/AUPEC48547.2019.214527","DOIUrl":"https://doi.org/10.1109/AUPEC48547.2019.214527","url":null,"abstract":"Single-wire earth return system (SWER) is a cost-effective solution to rural electrification. SWER systems operate by drawing power from the grid to supply the end load. With the increasing solar PV system penetration in the consumer side with a back-up diesel generator the concept ofbi-directional operation of SWER system during surplus generation at the load side need to be understood Initial modelling and theoretical network assessment showed that the system could operate if SWER were supported from both ends.A realistic 2 MW capacity case-study using rooftop solar PV was identified for Marinduque, Philippines. Using a sample household demand of serving 1600 households with a 1.34-kWp rooftop solar PV capacity in order to offset a 2MW-capacity from the grid has been undertaken. This has been extended to further analyze energizing five out of the remaining 20 unenergized sitios in the province of Marinduque using SWER system. The additional 2MW capacity and the designed SWER system were modelled to be integrated with the existing power system of Marinduque, Philippines. The designed SWER system and the integration to the existing power system of the province was modelled in DIgSILENT using the power systems data given by the Technical Services Department of Marinduque Electric Cooperative (MARELCO).","PeriodicalId":301431,"journal":{"name":"2019 29th Australasian Universities Power Engineering Conference (AUPEC)","volume":"97 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132948220","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