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Adaptive PI Control Strategy for Microgrid Performance Enhancement 微电网性能增强的自适应PI控制策略
Q2 Energy Pub Date : 2019-05-31 DOI: 10.15866/IRECON.V7I3.17327
Dina Zaki Rostom, H. Hasanien, Noha H. El Amary, A. Abdelaziz
Microgrids attain a significant role in electrical power systems due to their practical and economic benefits. A novel application of an adaptive Proportional plus Integral (PI) controller with the purpose of improving the microgrid performance is presented in this paper. The control strategy of the adaptive PI controller is based on Widrow-Hoff adaptation technique. The efficiency of the suggested controller is proved by comparing its outcomes with that obtained by utilizing Flower Pollination algorithm (FPA) which is used to fine tune the PI controller parameters of the inverter based microgrid. The utilized multi-objective optimization problem used by the FPA is created by the Response Surface Methodology (RSM). Simulation results are carried out using PSCAD/EMTDC environment to check the validity of the proposed control strategy. The simulation results are tested under various operating states such as 1) conversion of the system from grid connected to stand alone mode of operation, 2) subjecting the system to three line to ground fault in the autonomous mode, and 3) exposing the system to the load variability in the islanded mode.
微电网因其实际和经济效益在电力系统中发挥着重要作用。本文提出了一种用于改善微电网性能的自适应比例加积分(PI)控制器的新应用。自适应PI控制器的控制策略基于Widrow-Hoff自适应技术。通过将所提控制器与采用授粉算法(FPA)对逆变微电网PI控制器参数进行微调的结果进行比较,证明了所提控制器的有效性。利用响应面法(RSM)建立了FPA所使用的多目标优化问题。在PSCAD/EMTDC环境下进行了仿真,验证了所提控制策略的有效性。仿真结果在多种运行状态下进行了测试,如1)系统从并网模式转换为独立运行模式,2)系统在自主模式下遭受三线接地故障,以及3)系统在孤岛模式下暴露于负载变化。
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引用次数: 1
Analysis of the Penetration of Distributed Generation in Distribution Systems Based on Modified Monte Carlo Simulation 基于改进蒙特卡罗模拟的分布式发电在配电系统中的渗透性分析
Q2 Energy Pub Date : 2019-05-31 DOI: 10.15866/IRECON.V7I3.17416
Minh Y Nguyen, T. H. Hoang, Q. V. Toan, Le M. Anh
This paper presents a new framework to analyze the penetration of distributed generation (DG) in distribution systems (DS) based on modified Monte Carlo simulation. The placement and capacity of DG are generated as random variables with probability density functions following the optimality principle of the system. The method of power flows analysis is employed to evaluate the economic and technical aspect of the network both with and without DG sources inside. The results in different scenarios are combined with weighted factors to form the performance indices. The proposed framework is testified in a practical 15 MVA, 22 kV, 48-bus DS in Thai Nguyen, Vietnam. The simulation result shows that many advantages can be achieved with DG such as lower power losses, smaller voltage deviation, over-load reduction, etc. The proposed framework can serve as a platform for DS planning with DG sources in practice.
本文基于改进的蒙特卡罗模拟,提出了一个新的框架来分析分布式发电在配电系统中的渗透。DG的位置和容量被生成为具有概率密度函数的随机变量,遵循系统的最优性原理。采用潮流分析方法来评估内部有DG电源和无DG电源的网络的经济和技术方面。将不同情景下的结果与加权因子相结合,形成绩效指数。所提出的框架在越南泰阮的一个实际的15 MVA、22 kV、48母线DS中得到了验证。仿真结果表明,DG具有功率损耗低、电压偏差小、降低过载等优点。该框架可作为DG电源DS规划的实践平台。
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引用次数: 1
An Efficient Maximum Power Extraction Algorithm for Wind Energy Conversion System Using Model Predictive Control 基于模型预测控制的风能转换系统最大功率提取算法
Q2 Energy Pub Date : 2019-05-31 DOI: 10.15866/IRECON.V7I3.17403
Apoorva Srivastava, R. S. Bajpai
This paper analyses the performance comparison of maximum power point tracking (MPPT) algorithms for a wind energy conversion system using a model predictive control (MPC). Perturb & Observe (P&O) and Incremental Conductance (INC) that are the most commonly used maximum power point tracking (MPPT) methods due to their simple structure and facility to implement. However, both have the limitation in the effective tracking of maximum power point under unpredictable and fluctuating nature of wind turbine systems. In order to overcome the above limitations a model predictive control technique is proposed in order to enhance energy efficiency of wind turbine systems during rapidly changing wind conditions. MPC is an optimization method, it offers fast tracking, low power oscillations in steady state as encountered with the conventional methods. The proposed method uses variable predictive perturbation step size determined by Newton-Raphson method. Compared to traditional P&O and INC, the proposed strategy converges to maximum power point more rapidly and reduces the steady state power oscillations around maximum power point (MPP). The effectiveness of the control scheme is validated using MATLAB/SIMULINK simulation studies and through a scaled laboratory model using dSPACE DS1007 platform in order to verify the simulation results.
分析了模型预测控制(MPC)下风电转换系统最大功率点跟踪(MPPT)算法的性能比较。扰动与观察(P&O)和增量电导(INC)是最常用的最大功率点跟踪(MPPT)方法,因为它们结构简单,易于实现。然而,在风力发电系统不可预测和波动的特性下,这两种方法在最大功率点的有效跟踪方面都存在局限性。为了克服上述局限性,提出了一种模型预测控制技术,以提高风力发电系统在快速变化的风况下的能效。MPC是一种优化方法,与传统方法相比,它具有跟踪快、稳态振荡小的特点。该方法采用牛顿-拉夫森法确定的可变预测扰动步长。与传统的P&O和INC相比,该策略更快地收敛到最大功率点,并减少了最大功率点附近的稳态功率振荡。通过MATLAB/SIMULINK仿真研究验证了控制方案的有效性,并通过dSPACE DS1007平台的缩放实验室模型验证了仿真结果。
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引用次数: 1
Water Cycle Algorithm for Parameters Estimation of Solar Photovoltaic Model 太阳能光伏模型参数估计的水循环算法
Q2 Energy Pub Date : 2019-05-31 DOI: 10.15866/IRECON.V7I3.16187
A. Omar, H. Hasanien, A. Al‐Durra, Walid H. Abd El-Hameed
The results of photovoltaic systems simulations using power electronics devices are affected by PV models’ accuracy; examples of photovoltaic systems such simulations are: maximum power point tracking (MPPT) of the photovoltaic systems, transient and dynamic analysis of the photovoltaic systems, and micro grid systems working of micro grid systems. The photovoltaic mathematical models depict a nonlinear I-V characteristic covering unknown parameters due to the restricted information given by PV panel’s manufacturers of the photolytic panels. This paper investigates the use of Water Cycle Algorithm (WCA); it will be the using world rivers/streams cycles. This accurate observing is a new population-based meta-heuristic optimizer. Here, WCA is simulated in MATLAB environment and applied to both single-diode model (S.D.M) and double-diode model (D.D.M) as represented. Authenticity of these proposed photovoltaic systems a model is ascertained by the simulations of the outcomes, where these simulations are implemented under different environmental conditions. Outcomes are compared to experimental results by Kyocera KC200GT PV module. The effectiveness and efficiency of proposed mathematical models are established through comparing models absolute error with respect to experimental outcomes and that of other photovoltaic systems models. The WCA can therefore be used, based on its results in developing accurate PV models.
利用电力电子器件对光伏系统进行仿真时,光伏模型的精度会影响仿真结果;光伏系统仿真的例子有:光伏系统的最大功率点跟踪(MPPT)、光伏系统的暂态和动态分析、微电网系统的微电网工作。由于光伏板制造商提供的信息有限,光伏数学模型描述了一个覆盖未知参数的非线性I-V特性。本文研究了水循环算法(WCA)的应用;这将是使用世界河流/溪流循环。这种精确的观察是一种新的基于种群的元启发式优化器。本文在MATLAB环境下对WCA进行了仿真,并分别应用于单二极管模型(S.D.M)和双二极管模型(D.D.M)。这些提出的光伏系统模型的真实性是通过模拟结果来确定的,这些模拟是在不同的环境条件下实施的。结果与京瓷KC200GT光伏组件的实验结果进行了比较。通过比较模型相对于实验结果的绝对误差和其他光伏系统模型的绝对误差,验证了所提数学模型的有效性和高效性。因此,基于其结果,可以使用WCA来开发准确的PV模型。
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引用次数: 0
Grid-Connected Plug-in Electric Vehicles Charging Stations Energy Management and Control 并网插电式电动汽车充电站能源管理与控制
Q2 Energy Pub Date : 2019-03-31 DOI: 10.15866/IRECON.V7I2.17001
Khadija El Harouri, S. E. Hani, E. Elbouchikhi, M. Benbouzid, Hamza Mediouni
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引用次数: 2
Experimental Investigation of a Small Passive Solar System 小型被动太阳系的实验研究
Q2 Energy Pub Date : 2019-03-31 DOI: 10.15866/IRECON.V7I2.16586
E. F. Abbas
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引用次数: 0
Three-Phase Distribution Power Flow Solution Considering Symmetrical and Unsymmetrical Three-Phase Voltage Control Mode of PV Nodes 考虑光伏节点三相电压对称与不对称控制方式的三相配电潮流求解
Q2 Energy Pub Date : 2019-03-31 DOI: 10.15866/IRECON.V7I2.17703
E. Mashhour, S. M. Moghaddas-Tafreshi
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引用次数: 0
A Dynamic Switched Compensation Scheme for Grid-Connected Wind Energy Systems Using Cuckoo Search Algorithm 基于布谷鸟搜索算法的并网风电系统动态切换补偿方案
Q2 Energy Pub Date : 2019-03-31 DOI: 10.15866/IRECON.V7I2.16895
A. Omar, Ziad M. Ali, S. Aleem, E. Abou-El-Zahab, A. Sharaf
This paper presents a novel stabilization FACTS-based scheme that acts as a switched compensator for grid-connected wind energy systems. It is a member of a family of devices and switched dynamic voltage stabilization converters that were developed to ensure minimal loss of excitation, voltage stabilization, energy efficient utilization, power quality enhancement and harmonic distortion reduction in AC distribution grid networks. A novel-dual action distributed FACTS based–switched power filter compensator (SPFC) scheme is developed for efficient utilization of wind energy under varying wind conditions and major load excursions. A dynamic multi-level error-driven decoupled time de-scaled multi regulation control strategy is used to guarantee better power quality performance in terms of voltage enhancement and stabilization of the AC buses, improvement of power factor, and harmonic distortion reduction. The proposed SPFC was controlled using an inter-coupled weighted modified proportional-integral-derivative (WM-PID) controller. Cuckoo search (CS) optimization algorithm is employed to get the PID controller gains in terms of variations and excursions in wind speed and dynamic load excursions to reflect the performance of the compensator scheme. The effectiveness of the proposed SPFC with the multi-level control strategy has been assessed by time-domain simulations in Matlab/Simulink environment. The results obtained show the robustness of the proposed topology.
本文提出了一种新的基于facts的并网风电系统切换补偿方案。它是一系列设备和开关动态稳压转换器的成员,旨在确保交流配电网中最小的励磁损失,电压稳定,能源高效利用,电能质量提高和谐波失真减少。提出了一种基于双作用分布式FACTS的开关电力滤波补偿器(SPFC)方案,用于在变风条件和大负荷漂移条件下高效利用风能。采用动态多级误差驱动解耦时间去尺度多调节控制策略,从增强和稳定交流母线电压、提高功率因数和降低谐波畸变等方面保证了较好的电能质量性能。采用互耦加权修正比例-积分-导数(WM-PID)控制器对SPFC进行控制。采用布谷鸟搜索(Cuckoo search, CS)优化算法,根据风速和动态负载的变化和漂移来获得PID控制器增益,以反映补偿方案的性能。通过Matlab/Simulink环境下的时域仿真,验证了多级控制策略下SPFC的有效性。仿真结果表明了所提拓扑的鲁棒性。
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引用次数: 6
Maximum Power Characteristic Tracking: Definition and Adaptation to Various Power Electronics Converters 最大功率特性跟踪:定义和适应各种电力电子转换器
Q2 Energy Pub Date : 2019-01-31 DOI: 10.15866/IRECON.V7I1.16160
A. Sandali, A. Chériti
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引用次数: 0
Power Loss Reduction in Small-Scale Electrical Distribution System Using Adaptive Shuffled Frog Leaping Algorithm 基于自适应洗阵蛙跳算法的小型配电系统降损研究
Q2 Energy Pub Date : 2019-01-31 DOI: 10.15866/irecon.v7i1.16213
Arun Onlam, Daranpob Yodphet, R. Chatthaworn, C. Surawanitkun, A. Siritaratiwat, P. Khunkitti
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引用次数: 1
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International Journal on Energy Conversion
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