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Generating capacity adequacy evaluation of large-scale, grid-connected photovoltaic systems

Amir AHADI,Seyed Mohsen MIRYOUSEFI AVAL,Hosein HAYATI

《能源前沿（英文）》 2016年第10卷第3期页码 308-318 doi: 10.1007/s11708-016-0415-9

摘要： Large-scale, grid-connected photovoltaic systems have become an essential part of modern electric power distribution systems. In this paper, a novel approach based on the Markov method has been proposed to investigate the effects of large-scale, grid-connected photovoltaic systems on the reliability of bulk power systems. The proposed method serves as an applicable tool to estimate performance (e.g., energy yield and capacity) as well as reliability indices. The Markov method framework has been incorporated with the multi-state models to develop energy states of the photovoltaic systems in order to quantify the effects of the photovoltaic systems on the power system adequacy. Such analysis assists planners to make adequate decisions based on the economical expectations as well as to ensure the recovery of the investment costs over time. The failure states of the components of photovoltaic systems have been considered to evaluate the sensitivity analysis and the adequacy indices including loss of load expectation, and expected energy not supplied. Moreover, the impacts of transitions between failures on the reliability calculations as well as on the long- term operation of the photovoltaic systems have been illustrated. Simulation results on the Roy Billinton test system has been shown to illustrate the procedure of the proposed frame work and evaluate the reliability benefits of using large-scale, grid-connected photovoltaic system on the bulk electric power systems. The proposed method can be easily extended to estimate the operating and maintenance costs for the financial planning of the photovoltaic system projects.

关键词： adequacy assessment Markov method large-scale grid-connected photovoltaic(PV) systems long-term operation

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Hybrid optimization algorithm for modeling and management of micro grid connected system

Kallol ROY,Kamal Krishna MANDAL

《能源前沿（英文）》 2014年第8卷第3期页码 305-314 doi: 10.1007/s11708-014-0308-8

摘要： In this paper, a hybrid optimization algorithm is proposed for modeling and managing the micro grid (MG) system. The management of distributed energy sources with MG is a multi-objective problem which consists of wind turbine (WT), photovoltaic (PV) array, fuel cell (FC), micro turbine (MT) and diesel generator (DG). Because, perfect economic model of energy source of the MG units are needed to describe the operating cost of the output power generated, the objective of the hybrid model is to minimize the fuel cost of the MG sources such as FC, MT and DG. The problem formulation takes into consideration the optimal configuration of the MG at a minimum fuel cost, operation and maintenance costs as well as emissions reduction. Here, the hybrid algorithm is obtained as artificial bee colony (ABC) algorithm, which is used in two stages. The first stage of the ABC gets the optimal MG configuration at a minimum fuel cost for the required load demand. From the minimized fuel cost functions, the operation and maintenance cost as well as the emission is reduced using the second stage of the ABC. The proposed method is implemented in the Matlab/Simulink platform and its effectiveness is analyzed by comparing with existing techniques. The comparison demonstrates the superiority of the proposed approach and confirms its potential to solve the problem.

关键词： micro grid (MG) multi-objective function artificial bee colony (ABC) fuel cost operation and maintenance cost

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Modeling and control of photovoltaic energy conversion connected to the grid

Rebei NAJET, Ben Ghanem BELGACEM, Hasnaoui OTHMAN

《能源前沿（英文）》 2012年第6卷第1期页码 35-46 doi: 10.1007/s11708-012-0169-y

摘要： This paper presents modeling and control of a photovoltaic generator (PVG) connected to the grid. The parameters of the PVG have been identified in previous work (series and parallel resistance, reverse saturation current and thermal voltage) using Newton-Raphston and the gradient algorithm. The electrical energy from a PVG is transferred to the grid via two static converters (DC/DC and DC/AC). The objective of the proposed control strategy is to maximize energy captured from the PVG. The adapted control law for extracting maximum power from the PVG is based on the incremental conductance algorithm. The developed algorithm has the capability of searching the maximum photovoltaic power under variable irradiation and temperature. To control the DC/AC inverter, an intelligent system based on two structures is constructed: a current source control structure and a voltage source control structure. The system has been validated by numerical simulation using data obtained from the PVG installed in the laboratory research (INSAT, Tunisia).

关键词： photovoltaic generator (PVG) maximum power point tracker grid-connected static converters

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THD reduction with reactive power compensation for fuzzy logic DVR based solar PV grid connected system

Akhil GUPTA,Saurabh CHANANA,Tilak THAKUR

《能源前沿（英文）》 2014年第8卷第4期页码 464-479 doi: 10.1007/s11708-014-0307-9

摘要： Dynamic voltage restorer (DVR) is used to protect sensitive loads from voltage disturbances of the distribution generation (DG) system. In this paper, a new control approach for the 200 kW solar photovoltaic grid connected system with perturb and observe maximum power point tracking (MPPT) technique is implemented. Power quality improvement with comparison is conducted during fault with proportional integral (PI) and artificial intelligence-based fuzzy logic controlled DVR. MPPT tracks the actual variable DC link voltage while deriving the maximum power from a photovoltaic array and maintains DC link voltage constant by changing modulation index of the converter. Simulation results during fault show that the fuzzy logic based DVR scheme demonstrates simultaneous exchange of active and reactive power with less total harmonic distortion (THD) present in voltage source converter (VSC) current and grid current with fast tracking of optimum operating point at unity power factor. Standards (IEEE-519/1547), stipulates that the current with THD greater than 5% cannot be injected into the grid by any distributed generation source. Simulation results and validations of MPPT technique and operation of fuzzy logic controlled DVR demonstrate the effectiveness of the proposed control schemes.

关键词： fuzzy logic maximum power point tracking (MPPT) proportional integral (PI) control voltage restorer

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Feedback linearization based control for weak grid connected PV system under normal and abnormal conditions

Rahul SHARMA,Sathans SUHAG

《能源前沿（英文）》 2020年第14卷第2期页码 400-409 doi: 10.1007/s11708-017-0459-5

摘要： This paper proposes a control strategy for interface of distributed energy sources into the weak grid system with a focus on the energy and ancillary services. A novel controller has been designed and implemented to tackle the challenges of coupling terms in the LCL filter, the transient behavior under sudden changes, and the voltage support under fault condition using the feedback linearization technique. The controller proposed has been implemented on the PV system connected with the weak grid using the LCL filter and the performance of the controller has been verified using Matlab/Simulink through simulation under different conditions. The results of the controller proposed have been compared with the conventional PI dual loop controller. The simulation results obtained demonstrate the effectiveness and simplicity of the controller design strategy.

关键词： PV system grid interface feedback linearization inverter LCL filter

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大规模非并网风电投融资研究

杨絮,刘勇

《中国工程科学》 2015年第17卷第3期页码 75-78

摘要：

本文对大规模非并网风电体系的投融资方式进行了研究。首先阐述了风力发电投融资的现状。其次，对非并网风力发电的发展进行了介绍。然后对大规模非并网风电投融资的可用方法进行了分析探索，以期积极推进非并网发电体系的发展。文章最后还提及了非并网发电投融资面对的问题及给出了相关的建议。

关键词：非并网风电；非并网风电投融资；政府直接投资；金融投资；资金引进；项目合作融资

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非并网风电单台风机日产万吨海水淡化系统研究

施建中

《中国工程科学》 2015年第17卷第3期页码 35-40

摘要：

为了缓解我国淡水缺乏的现状，将海水进行淡化成了一个主要的研究方向。针对传统海水淡化方法属高耗能产业，并且使用常规能源，对环境易造成二次污染的缺陷，介绍了一种基于非并网多能源协同供电的海水淡化系统。该系统基于非并网风电原理，利用风、光、潮汐等绿色能源对海水淡化系统供电，提高了能源的利用效率，实现二氧化碳的零排放，具有很好的社会经济效益。本文设计并研发了一套单台风机日产万吨海水淡化系统，该系统利用1台2.5 MW风机对海水淡化系统供电，基于非并网风电理论，做到了风电高效、低成本、全部利用。

关键词：非并网；风网互补；多能源协同；海水淡化；变频

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Robust control based on the Lyapunov theory of a grid-connected doubly fed induction generator

Ridha CHEIKH, Arezki MENACER, Said DRID

《能源前沿（英文）》 2013年第7卷第2期页码 191-196 doi: 10.1007/s11708-013-0245-y

摘要： This paper discusses the robust control of a grid-connected doubly-fed induction generator (DFIG) controlled by vector control using a nonlinear feedback linearization strategy in order to ameliorate the performances of the control and to govern the developed stator active and reactive power in a linear and decoupled manner, in which an optimal operation of the DFIG in sub-synchronous operation is given, as well as the control stator power flow with the possibility of keeping stator power factor at a unity. The use of the state-all-flux induction machine model gives place to a simpler control model. So, to achieve this objective, the Lyapunov approach is used associated with a sliding mode control to guarantee the global asymptotical stability and the robustness of the parametric variations.

关键词： doubly fed induction generator (DFIG) vector control Lyapunov function power factor unity active power reactive power

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建立非并网风电适宜产业的指标体系研究

刘勇

《中国工程科学》 2015年第17卷第3期页码 60-66

摘要：

本文主要阐述非并网风电适宜产业指标评价体系的内涵及其构建原则，确定指标体系的层次以及各个指标的科学涵义和计算方法，并根据所构建的指标体系进行案例分析。本指标体系分为两个层次，第一层包含4个方面的宏观指标群，分别反映非并网风电的经济、社会和环境以及风电随机波动性特征；第二层反映在第一层次里各个宏观指标群的具体构成指标状况。指标权重的确定依据层次分析法，对各指标进行分类，建立多层次结构，构造成对比较矩阵，并根据随机一致性检验，经过多轮综合分析最终确定指标体系中各个层次指标的权重情况，权重的确定方法和过程客观、严谨、科学。在此基础上，根据指标间的内在联系建立综合评价模型，最终形成科学、合理、较为完善的指标综合评价体系。

关键词：非并网风电；适宜产业；指标体系

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Enhancement of grid-connected photovoltaic system using ANFIS-GA under different circumstances

Saeed VAFAEI,Alireza REZVANI,Majid GANDOMKAR,Maziar IZADBAKHSH

《能源前沿（英文）》 2015年第9卷第3期页码 322-334 doi: 10.1007/s11708-015-0362-x

摘要： In recent years, many different techniques are applied in order to draw maximum power from photovoltaic (PV) modules for changing solar irradiance and temperature conditions. Generally, the output power generation of the PV system depends on the intermittent solar insolation, cell temperature, efficiency of the PV panel and its output voltage level. Consequently, it is essential to track the generated power of the PV system and utilize the collected solar energy optimally. The aim of this paper is to simulate and control a grid-connected PV source by using an adaptive neuro-fuzzy inference system (ANFIS) and genetic algorithm (GA) controller. The data are optimized by GA and then, these optimum values are used in network training. The simulation results indicate that the ANFIS-GA controller can meet the need of load easily with less fluctuation around the maximum power point (MPP) and can increase the convergence speed to achieve the MPP rather than the conventional method. Moreover, to control both line voltage and current, a grid side P/Q controller has been applied. A dynamic modeling, control and simulation study of the PV system is performed with the Matlab/Simulink program.

关键词： photovoltaic system maximum power point (MPP) adaptive neuro-fuzzy inference system (ANFIS) genetic algorithm (GA)

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Performance of PI controller for control of active and reactive power in DFIG operating in a grid-connected

Azzouz TAMAARAT,Abdelhamid BENAKCHA

《能源前沿（英文）》 2014年第8卷第3期页码 371-378 doi: 10.1007/s11708-014-0318-6

摘要： Due to several factors, wind energy becomes an essential type of electricity generation. The share of this type of energy in the network is becoming increasingly important. The objective of this work is to present the modeling and control strategy of a grid connected wind power generation scheme using a doubly fed induction generator (DFIG) driven by the rotor. This paper is to present the complete modeling and simulation of a wind turbine driven DFIG in the second mode of operating (the wind turbine pitch control is deactivated). It will introduce the vector control, which makes it possible to control independently the active and reactive power exchanged between the stator of the generator and the grid, based on vector control concept (with stator flux or voltage orientation) with classical PI controllers. Various simulation tests are conducted to observe the system behavior and evaluate the performance of the control for some optimization criteria (energy efficiency and the robustness of the control). It is also interesting to play on the quality of electric power by controlling the reactive power exchanged with the grid, which will facilitate making a local correction of power factor.

关键词： wind power doubly fed induction generator (DFIG) vector control active power reactive power maximum power point tracking (MPPT)

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generation system using new hybrid fuzzy-neural for photovoltaic system and RBFNSM for wind turbine in the gridconnected mode

Alireza REZVANI,Ali ESMAEILY,Hasan ETAATI,Mohammad MOHAMMADINODOUSHAN

《能源前沿（英文）》 2019年第13卷第1期页码 131-148 doi: 10.1007/s11708-017-0446-x

摘要： Photovoltaic (PV) generation is growing increasingly fast as a renewable energy source. Nevertheless, the drawback of the PV system is intermittent because of depending on weather conditions. Therefore, the wind power can be considered to assist for a stable and reliable output from the PV generation system for loads and improve the dynamic performance of the whole generation system in the grid connected mode. In this paper, a novel topology of an intelligent hybrid generation system with PV and wind turbine is presented. In order to capture the maximum power, a hybrid fuzzy-neural maximum power point tracking (MPPT) method is applied in the PV system. The average tracking efficiency of the hybrid fuzzy-neural is incremented by approximately two percentage points in comparison with the conventional methods. The pitch angle of the wind turbine is controlled by radial basis function network-sliding mode (RBFNSM). Different conditions are represented in simulation results that compare the real power values with those of the presented methods. The obtained results verify the effectiveness and superiority of the proposed method which has the advantages of robustness, fast response and good performance. Detailed mathematical model and a control approach of a three-phase grid-connected intelligent hybrid system have been proposed using Matlab/Simulink.

关键词： photovoltaic wind turbine hybrid system fuzzy logic controller genetic algorithm RBFNSM

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大规模非并网风电系统理论与实践

方敏,孔祥威,施建中,顾为东

《中国工程科学》 2015年第17卷第3期页码 14-19

摘要：

本文针对我国风能等可再生能源，由于其波动性而不能大规模并入电网的难题，提出了非并网风电理论。将高耗能负载改造成为能够适应电能波动的智能负载，极大地提高了可再生能源的利用率。研究了非并网风电理论的本质和内涵，并讨论了非并网风电理论的应用情况，为我国节能减排，提高电网效率和可再生能源利用率提出了一条新路径。

关键词：非并网；多能源协同；智能负载

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Power quality investigation of a solar PV transformer-less grid- connected system fed DVR

Akhil GUPTA,Saurabh CHANANA,Tilak THAKUR

《能源前沿（英文）》 2014年第8卷第2期页码 240-253 doi: 10.1007/s11708-014-0322-x

摘要： This paper presents a single stage transformer-less grid-connected solar photovoltaic (PV) system with an active and reactive power control. In the absence of active input power, the grid-tied voltage source converter (VSC) is operated in a reactive power generation mode, which powers the control circuitry, and maintains a regulated DC voltage to the VSC. A data-based maximum power point tracking (MPPT) control scheme which performs power quality control at a maximum power by reducing the total harmonic distortion (THD) in grid injected current as per IEEE-519/1547 standards is implemented. A proportional-integral (PI) controller based dynamic voltage restorer (DVR) control scheme is implemented which controls the grid side converter during single-phase to ground fault. The analysis includes the grid current THD along with the corresponding variation of the active and reactive power during the fault condition. The MPPT tracks the actual variable DC link voltage while deriving the maximum power from the solar PV array, and maintains the DC link voltage constant by changing the modulation index of the VSC. Simulation results using Matlab/Simulink are presented to demonstrate the feasibility and validations of the proposed novel MPPT and DVR control systems under different environmental conditions.

关键词： data-based maximum power point tracking (MPPT) total harmonic distortion (THD) proportional integral control voltage restorer pulse width modulation