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2015 International Conference on Clean Electrical Power (ICCEP)最新文献

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Photovoltaic power control based on differential flatness approach of multiphase interleaved boost converter for grid connected applications 基于多相交错升压变换器差分平坦度方法的并网光伏功率控制
Pub Date : 2015-06-16 DOI: 10.1109/ICCEP.2015.7177549
P. Mungporn, S. Sikkabut, B. Yodwong, C. Ekkaravarodome, S. Toraninpanich, B. Nahid-Mobarakeh, S. Pierfederici, B. Davat, P. Thounthong
A proposed parallel power converter with interleaving algorithm is chosen to boost a low dc voltage of photovoltaic (PV) to a dc bus utility level and then follows by inverter. Converters are controlled by interleaved switching signals, which have the same switching frequency and the same phase shift. By virtue of paralleling the converters, the input current can be shared among the cells or phases, so that high reliability and efficiency in power electronic systems can be obtained. In this paper, a nonlinear-control algorithm based on the flatness property of the system is proposed. Flatness provides a convenient framework for meeting a number of performance specifications on the power converter. To validate the proposed method, a prototype PV power converter (1.2-kW two-phase boost converters in parallel) is realized in the laboratory. The proposed control law based on the flatness property is implemented by digital estimation in a dSPACE 1104 controller card. Experimental results in the laboratory corroborate the excellent control scheme.
提出了一种采用交错算法的并联电源变换器,将光伏的低直流电压升压到直流母线实用水平,然后再升压逆变器。变换器由具有相同开关频率和相移的交错开关信号控制。通过并联变流器,可以使输入电流在各单元或各相之间共享,从而获得电力电子系统的高可靠性和高效率。本文提出了一种基于系统平面性的非线性控制算法。平整度为满足电源转换器的一系列性能要求提供了一个方便的框架。为了验证所提出的方法,在实验室中实现了一个原型光伏电源转换器(1.2 kw两相升压转换器并联)。提出的基于平面度特性的控制律在dSPACE 1104控制卡上通过数字估计实现。实验室实验结果证实了该控制方案的有效性。
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引用次数: 4
Initial phases of developing decentralized renewable energy systems in Base of Pyramid markets using design methods 利用设计方法在金字塔基础市场开发分散式可再生能源系统的初始阶段
Pub Date : 2015-06-16 DOI: 10.1109/ICCEP.2015.7177649
M. Lammi, Janne Pekkala, T. Paulraj, Minna Jakobsson, E. Hiltunen
India's power sector is still highly dependent on fossil fuels. As the energy demand in India is steadily increasing, the government is supporting new and innovative methods in renewable energy to tackle the growing energy deficit and to reduce the dependence on fossil fuels. Decentralized renewable energy systems are particularly important in India because of the distribution, logistics and grid connectivity issues existing in the country. This gives a good opportunity for international renewable energy companies to establish business operations in India. But value networks of decentralized renewable energy systems in the Base of Pyramid (BoP) markets are complex. Traditional engineering perspective suggests companies to understand their own skills related to business and technology before entering a new market. This paper describes a case study in which integrative and collaborative design methods were used during the initial phases of development of decentralized renewable energy systems (DRES) in India. The case study aims at identifying the contribution of design methods in these early phases. Results indicate that design methods visualize a holistic picture of the current renewable energy systems, its actor and the future possibilities in India.
印度的电力部门仍然高度依赖化石燃料。随着印度能源需求的稳步增长,政府正在支持可再生能源的创新方法,以解决日益增长的能源赤字,并减少对化石燃料的依赖。分散的可再生能源系统在印度尤为重要,因为该国存在分布、物流和电网连接问题。这为国际可再生能源公司在印度开展业务提供了一个很好的机会。但是金字塔基础(BoP)市场中分散式可再生能源系统的价值网络是复杂的。传统的工程学观点认为,企业在进入一个新市场之前,应该了解自己在商业和技术方面的技能。本文描述了一个案例研究,其中在印度分散式可再生能源系统(DRES)发展的初始阶段使用了综合和协作设计方法。案例研究旨在确定设计方法在这些早期阶段的贡献。结果表明,设计方法可视化了印度当前可再生能源系统、其参与者和未来可能性的整体图景。
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引用次数: 0
Clustering power system approach with smart distribution network controller 基于智能配电网控制器的集群电力系统方法
Pub Date : 2015-06-16 DOI: 10.1109/ICCEP.2015.7177646
E. Ortjohann, J. Kortenbruck, D. Holtschulte, S. Leksawat, A. Schmelter, D. Morton
The ongoing trend to sustainable energy supply based on renewable energies is coming along with new challenges in network control. Especially in the low voltage distribution networks, new control structures are required, since they have been considered as a passive system in regards of network control. As a feasible solution for structuring power networks the Clustering Power System Approach (CPSA) has been introduced, in order to allow adequate control architecture. This paper focuses on a new network control application for clustered power systems, being suitable for directed manipulation of power flows in low voltage networks. The core component is a smart inverter system in combination with a battery storage, which will be placed into the connection lines between interacting clusters. The network control application is introduced in this paper and initial results of the capabilities of the smart inverter system, especially at asymmetrical grid conditions, are presented.
以可再生能源为基础的可持续能源供应趋势不断发展,电网控制也面临着新的挑战。特别是在低压配电网中,由于低压配电网一直被认为是一个被动的网络控制系统,因此需要新的控制结构。集群电力系统方法(CPSA)是构建电网的一种可行的解决方案,以允许适当的控制体系结构。本文研究了一种适用于低压电网潮流定向控制的新型集群电网控制应用。核心组件是一个与电池存储相结合的智能逆变器系统,它将被放置在相互作用的集群之间的连接线上。本文介绍了网络控制的应用,并给出了智能逆变器系统性能的初步结果,特别是在非对称电网条件下的性能。
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引用次数: 8
Experimental study on efficiency enhancement in Interior Permanent Magnet Synchronous machines 内置式永磁同步电机效率提高的实验研究
Pub Date : 2015-06-16 DOI: 10.1109/ICCEP.2015.7177539
M. Caruso, A. D. Di Tommaso, R. Miceli, C. Spataro
This paper presents an experimental study on the efficiency variation occurring in an IPMSM (Interior Permanent Magnet Synchronous Motor) with respect to the direct axis current component and for several working conditions. Such investigation is the starting point for the arrangement of a speed control drive system equipped with a real-time power losses minimization algorithm. More in detail, a test bench is set up to carry out the measurements needed for the final power loss identification. The experimental investigation is developed by performing tests at different speed, magnetization and load conditions. From the obtained results, it can be stated that the IPMSM efficiency can be maximized by simply acting on the direct axis current component, without decreasing the dynamic performances of the drive.
本文对内置永磁同步电动机在不同工况下的效率随直流电流分量的变化进行了实验研究。这样的研究是安排一个配备实时功率损耗最小化算法的调速驱动系统的出发点。更详细地说,建立了一个测试台来进行最终功率损耗识别所需的测量。通过在不同转速、磁化强度和负载条件下进行试验研究。从得到的结果可以看出,在不降低驱动器动态性能的情况下,只需作用于直轴电流元件即可最大限度地提高IPMSM效率。
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引用次数: 9
Operation characteristics of isotropic synchronous generators connected to a stand-alone DC system 与独立直流系统连接的各向同性同步发电机的运行特性
Pub Date : 2015-06-16 DOI: 10.1109/ICCEP.2015.7177655
M. Iacchetti, M. Mauri, G. Foglia, R. Perini, S. Bono, V. Fraioli
The operation of a synchronous generator connected to a dc load by a six-pulse diode bridge is analyzed in this paper. The dc load has in parallel a high electrolytic capacitor to reduce the ripple in the dc voltage: the dc voltage is regulated acting on the field current of the generator. Such a layout is currently used to create a stable and reliable dc-bus for stand-alone dc systems as in electro-diesel locomotives or ships. Due to the presence of bulk capacitors, the dc side can be considered a voltage source rather than a current source, and the ac voltage across the generator as well as the stator current are considerably distorted. By using simulations based on a dynamical model of the generator, the paper shows the most significant operation modes of the system and gives some insight into the power transfer as well the impact of the harmonics for the design of the generator.
本文分析了用六脉冲二极管桥接直流负载的同步发电机的运行情况。直流负载并联有一个高电解电容,以减少直流电压的纹波:直流电压被调节作用于发电机的励磁电流。这种布局目前用于创建稳定可靠的直流母线,用于独立的直流系统,如电柴油机车或船舶。由于大块电容器的存在,直流侧可以被认为是电压源而不是电流源,并且发电机上的交流电压以及定子电流相当扭曲。通过对发电机的动力学模型进行仿真,揭示了系统最重要的运行模式,并对电力传输和谐波对发电机设计的影响有了一定的认识。
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引用次数: 0
Dynamic electrothermal simulation of photovoltaic plants 光伏电站动态电热模拟
Pub Date : 2015-06-16 DOI: 10.1109/ICCEP.2015.7177565
V. d' Alessandro, A. Magnani, L. Codecasa, F. Di Napoli, P. Guerriero, S. Daliento
This paper presents a fast and accurate approach for the dynamic electrothermal analysis of photovoltaic (PV) plants with a cell-level discretization. A circuit model is developed for the elementary cell, and an equivalent electrical network is automatically built in a preprocessing stage to account for the power-temperature feedback. The PV plant under analysis is represented as an electrical macrocircuit that can be solved with low CPU/memory requirements and without convergence issues by using any SPICE-like simulator. The proposed strategy can be successfully exploited for diagnostic purposes.
本文提出了一种基于电池级离散的光伏电站动态电热分析的快速准确方法。建立了基本电池的电路模型,并在预处理阶段自动建立了等效的电路网络,以考虑功率-温度反馈。所分析的光伏电站被表示为一个电子宏电路,可以通过使用任何类似spice的模拟器来解决低CPU/内存要求和无收敛问题。所提出的策略可以成功地用于诊断目的。
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引用次数: 14
Direct scalar torque control for wind turbine with permanent magnet synchronous generator 永磁同步风力发电机组的直接标量转矩控制
Pub Date : 2015-06-16 DOI: 10.1109/ICCEP.2015.7177634
G. Koch, G. Schneider, J. Zucuni, H. Pinheiro
This paper proposes a PWM rectifier and torque controller for wind turbine (WT) with permanent magnet synchronous generator (PMSG). The considered rectifier does not need boost inductor whose current is usually controlled to impose the desired torque. To deal with this issue, in this paper initially the PMSG model is developed then a sliding mode observer is described in details aiming to obtain the estimation of the generator speed and torque. Whenever the wind speed is below the nominal value, the estimated turbine rotational speed is used to obtain the optimum torque to maximize the aerodynamics efficiency. Then, by controlling of boost converter it is possible to impose the desired torque. Simulation results demonstrated that the proposed technique can accurately estimate the rotational speed and torque to implemented the MPPT for the wind turbine as well as to limited the power whenever is required.
提出了一种用于永磁同步发电机风力发电机组的PWM整流器和转矩控制器。所考虑的整流器不需要升压电感,其电流通常被控制以施加所需的转矩。为了解决这一问题,本文首先建立了PMSG模型,然后详细描述了滑模观测器,以获得发电机转速和转矩的估计。当风速低于标称值时,使用估计的涡轮转速来获得最佳转矩,以最大化空气动力学效率。然后,通过控制升压变换器,可以施加所需的转矩。仿真结果表明,该方法可以准确地估计转速和转矩,实现风力机的最大功率跟踪,并在需要时对功率进行限制。
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引用次数: 0
Wind turbine optimal site matching based on capacity and availability factors 基于容量和可用性因素的风电机组最优选址匹配
Pub Date : 2015-06-16 DOI: 10.1109/ICCEP.2015.7177632
R. Ghajar, R. Chedid, M. Badawieh
This paper introduces a simple method to enable the selection of the most appropriate wind turbine for given sites in which the values of the Weibull shape parameter k and scale parameter c are known. T he matching between site and turbine characteristics can be optimized by defining two important parameters: The capacity factor Cf, and the availability factor Af. Published wind data of 10 sites are used to perform site matching with a variety of commercially available wind turbine generators by evaluating the capacity factor, availability factor and annual energy output. T his study argues that the incorporation of the availability factor in the turbine-site matching process will have an added value in terms of lowering the overall electric energy production cost of the system due to the fact that although the energy required by system peaking units will remain the same, the number of start-ups and shutdown may be reduced.
本文介绍了一种简单的方法,可以在已知威布尔形状参数k和尺度参数c的情况下,为给定场地选择最合适的风力机。通过定义容量因子Cf和可用因子Af这两个重要参数,可以优化场址与风机特性之间的匹配。利用10个场址公布的风力数据,通过评估容量因子、可用因子和年发电量,与各种市售风力发电机组进行场址匹配。本研究认为,由于系统调峰单元所需的能量保持不变,启动和关闭的次数可能会减少,因此在涡轮机-站点匹配过程中纳入可用性因素将在降低系统整体电能生产成本方面具有附加价值。
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引用次数: 8
Improved SMPS modeling for photovoltaic applications by a novel neural paradigm with Hamiltonian-based training algorithm 基于哈密顿训练算法的新型神经模型改进了光伏应用的SMPS建模
Pub Date : 2015-06-16 DOI: 10.1109/ICCEP.2015.7177571
F. Bonanno, G. Capizzi, G. L. Sciuto
This paper discuss as the dynamics of a SMPS can be investigated by recurrent neural network (RNN) based models with an Hamiltonian formulation and function used for the training, so leading to a novel paradigm that we call RNNHT model. By using the calculated state variables in a boost converter a RNN is trained by considering also the minimization of the energy stored according to a defined cost function. Simulation results show the improvements in the dynamic performance output prediction versus some well assessed boost converter models in the recent literature.
本文讨论了SMPS的动力学可以通过基于递归神经网络(RNN)的模型来研究,该模型具有哈密顿公式和用于训练的函数,从而导致我们称之为RNNHT模型的新范式。通过在升压变换器中使用计算的状态变量,同时考虑根据定义的代价函数存储能量的最小化来训练RNN。仿真结果表明,与最近文献中一些评估良好的升压变换器模型相比,该模型在动态性能输出预测方面有所改进。
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引用次数: 5
A novel EMS for residential microgrids reconciling end-user and utility needs 一种新型的住宅微电网环境管理系统,可以协调终端用户和公用事业的需求
Pub Date : 2015-06-16 DOI: 10.1109/ICCEP.2015.7177614
M. C. Di Piazza, G. La Tona, M. Luna, A. Di Piazza
Among those currently proposed in the technical literature, most Energy Management Systems (EMSs) that are based on the formulation and solution of an optimization problem, can be classified in two categories: some of them solve the problem using Dynamic Programming (DP), which is quite computationally expensive in terms of memory occupation; others, in order to solve the problem using Linear Programming (LP) that has a lower computational cost, introduce a simplification, i.e., they consider positive and negative power flows at bidirectional devices separately, instead of considering the net exchanged power. Furthermore, each currently available EMS is only able to achieve one goal at a time, providing advantages either for the end-user or for the grid manager/administrator. Starting from the above considerations, a novel EMS for residential microgrids is proposed in this paper. It exploits the forecasting of PV generation and load demand profiles by means of suitably chosen and trained neural networks. Furthermore, it is based on solving two different optimization problems during two stages of the algorithm, aiming at reconciling end-user and utility needs. Thanks to a suitable mathematical formulation, it manages to solve the optimization problems using Mixed Integer Linear Programming (MILP), instead of DP. A series of simulations is performed to validate the proposed EMS, whose results are presented and discussed.
在目前技术文献中提出的能源管理系统(ems)中,大多数基于优化问题的公式和解决方案的能源管理系统(ems)可以分为两类:其中一些系统使用动态规划(DP)来解决问题,这在内存占用方面计算成本相当高;另一些人为了使用计算成本较低的线性规划(LP)来解决问题,引入了一种简化方法,即分别考虑双向器件的正、负功率流,而不是考虑净交换功率。此外,每个当前可用的EMS一次只能实现一个目标,这为最终用户或网格管理器/管理员提供了优势。基于上述考虑,本文提出了一种新型的住宅微电网EMS。它利用适当选择和训练的神经网络对光伏发电和负荷需求曲线进行预测。此外,它基于在算法的两个阶段解决两个不同的优化问题,旨在协调最终用户和效用需求。由于采用了一种合适的数学公式,它可以用混合整数线性规划(MILP)来解决优化问题,而不是用DP。通过一系列的仿真来验证所提出的EMS,给出了仿真结果并进行了讨论。
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引用次数: 3
期刊
2015 International Conference on Clean Electrical Power (ICCEP)
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