2017 Australasian Universities Power Engineering Conference (AUPEC)最新文献

Voltage collapse issue in a photovoltaic source operating in an islanded microgrid 孤岛微电网中运行的光伏电源电压崩溃问题

2017 Australasian Universities Power Engineering Conference (AUPEC) Pub Date : 2017-11-01 DOI: 10.1109/AUPEC.2017.8282446

Jiahui Jiang, C. Coates

引用次数: 1

Effects of network characteristics and topology on the stability of converter-dominated microgrids 网络特性和拓扑结构对变流器主导微电网稳定性的影响

2017 Australasian Universities Power Engineering Conference (AUPEC) Pub Date : 2017-11-01 DOI: 10.1109/AUPEC.2017.8282512

Julius Susanto, Farhad Shahnia, A. Arefi

引用次数: 2

Levelized cost of energy and cash flow for a hybrid solar-wind-diesel microgrid on Rottnest island 罗特尼斯岛太阳能-风能-柴油混合微电网的能源成本和现金流

2017 Australasian Universities Power Engineering Conference (AUPEC) Pub Date : 2017-11-01 DOI: 10.1109/AUPEC.2017.8282413

Farhad Shahnia, M. Moghbel, A. Arefi, G. Shafiullah, M. Anda, A. Vahidnia

引用次数: 11

Using particle swarm optimization for PID optimization for altitude control on a quadrotor 基于粒子群算法的四旋翼飞行器高度控制PID优化

2017 Australasian Universities Power Engineering Conference (AUPEC) Pub Date : 2017-11-01 DOI: 10.1109/AUPEC.2017.8282423

Jack Connor, M. Seyedmahmoudian, B. Horan

{"title":"Using particle swarm optimization for PID optimization for altitude control on a quadrotor","authors":"Jack Connor, M. Seyedmahmoudian, B. Horan","doi":"10.1109/AUPEC.2017.8282423","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282423","url":null,"abstract":"The proportional-integral-derivate (PID) controller has been relied on by control engineers due to its easy implementation and good performance. Although PID controllers are readily available, they still have limitations. Tuning these controllers often require a deep understanding of control theory to adjust their parameters correctly, which is often time consuming and may not result in an optimal performance. In this study, the use of particle swarm optimization (PSO) is proposed to improve a PID controller on a quadrotor. The PID controller is used to control the height of the quadrotor. Moreover, a simulation run in MATLAB is constructed to increase the height of the quadrotor from 0 m to 1 m. The PSO algorithm is used to tune the controller against a cost function that considers the squared error, maximum overshoot, and the integral of absolute error, which are used to evaluate the performance of the PID values. The PSO should converge on a global minimum, which will be the optimal values of the PID controller. Results from the simulation reveal the performance of the PSO algorithm and the efficiency of the PID controller compared with other methods.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"333 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122710181","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: 10

Electricity demand management by optimising the use of HVAC and HWS through AMI 通过AMI优化HVAC和HWS的使用，实现电力需求管理

2017 Australasian Universities Power Engineering Conference (AUPEC) Pub Date : 2017-11-01 DOI: 10.1109/AUPEC.2017.8282383

V. Dehalwar, Akhtar Kalama, M. Kolheb, Aladin Zayegha

引用次数: 2

Modelling and valuing multi-energy flexibility from community energy systems 建模和评估社区能源系统的多能源灵活性

2017 Australasian Universities Power Engineering Conference (AUPEC) Pub Date : 2017-11-01 DOI: 10.1109/AUPEC.2017.8282399

Han Wang, N. Good, P. Mancarella

引用次数: 6

AC cables strengthening railway low frequency AC power supply systems — A deepened study 交流电缆加强铁路低频交流供电系统的深入研究

2017 Australasian Universities Power Engineering Conference (AUPEC) Pub Date : 2017-11-01 DOI: 10.1109/AUPEC.2017.8282393

Lars Abrahamsson

引用次数: 1

A two-stage optimal vector selection method for predictive torque control of a three-level VSI driven induction motor 三电平VSI驱动异步电动机预测转矩控制的两阶段最优矢量选择方法

2017 Australasian Universities Power Engineering Conference (AUPEC) Pub Date : 2017-11-01 DOI: 10.1109/AUPEC.2017.8282436

I. Osman, D. Xiao, M.F. Rahman, M. Habibullah

{"title":"A two-stage optimal vector selection method for predictive torque control of a three-level VSI driven induction motor","authors":"I. Osman, D. Xiao, M.F. Rahman, M. Habibullah","doi":"10.1109/AUPEC.2017.8282436","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282436","url":null,"abstract":"Conventional Finite State Predictive Torque control (FS-PTC) for three-level Neutral Point Clamped voltage source inverter (3L-NPC VSI) uses 27 voltage vectors for prediction and actuation. Using all voltage vectors for the prediction loop is not an ideal method as it increases computational burden. This paper proposes a less complex prediction loop method with selected number of voltage vectors for FS-PTC of a three level NPC driven induction motor. The number of voltage vectors is reduced based on a two-stage optimal vector selection algorithm. In the first stage, the algorithm considers the VSI as two-level and selects the most favourable long vector. In the second stage, among the short and the medium voltage vectors closest to the long vector which is selected in the first stage, the optimum vector is selected for prediction. Compared to 27 voltage vectors based prediction, this algorithm evaluates 15 selected vectors in total for prediction and actuation. The effectiveness of the proposed algorithm in terms of speed, torque and flux responses and capacitor voltage balancing is presented through simulation results from MATLAB/Simulink. Computational time is measured from a real-time simulation implemented on dSPACE DS1104 platform. The results show that the proposed method reduces the computation time significantly (by about 45%), while the dynamic and steady-state performances of the motor drive are retained similar to the conventional FS-PTC.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130565304","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

The importance of lightning education and a lightning protection risk assessment to reduce fatalities 防雷教育和防雷风险评估对减少死亡人数的重要性

2017 Australasian Universities Power Engineering Conference (AUPEC) Pub Date : 2017-11-01 DOI: 10.1109/AUPEC.2017.8282481

M. Taljaard, N. Mbuli, J. Pretorius

引用次数: 1

Novel methodology to simultaneously mitigate fast and slow voltage fluctuations of voltage profile in distribution feeder using battery storage 利用蓄电池储能同时缓解配电馈线电压曲线快慢波动的新方法

2017 Australasian Universities Power Engineering Conference (AUPEC) Pub Date : 2017-11-01 DOI: 10.1109/AUPEC.2017.8282408

Prabha Ariyaratna, K. Muttaqi, D. Sutanto

引用次数: 3