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Sizing of hybrid PMSG-PV system for battery charging of electric vehicles

M. M. RAJAN SINGARAVEL,S. ARUL DANIEL

《能源前沿（英文）》 2015年 第9卷 第1期   页码 68-74 doi: 10.1007/s11708-015-0349-7

摘要： The number of electric vehicles are increasing in the society as they are considered as zero emission vehicles and also because conventional fuels are becoming expensive. Additional electrical power should be produced to meet the energy requirement of this increase in electric vehicle population. To use the existing grid infrastructure without any failure, installing distributed generator at secondary distribution network is essential. In this work, sizing of wind-driven permanent magnet synchronous generator—photovoltaic hybrid distributed generating system has been attempted to meet the energy demand of electric vehicles of a particular residential area. Different feasible combinations for wind generator capacity and photovoltaic capacity are obtained to satisfy the additional energy requirement. Results are analyzed based on energy, financial payback periods and daily power profile of the hybrid system. Based on this analysis, the sizes of wind generator and photovoltaic array have been chosen to meet the energy demand of electric vehicles of that particular residential locality.

关键词： electric vehicles     hybrid PMSG-PV system     smart grid    

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A genetic algorithm based improved optimal sizing strategy for solar-wind-battery hybrid system using

Aeidapu MAHESH, Kanwarjit Singh SANDHU

《能源前沿（英文）》 2020年 第14卷 第1期   页码 139-151 doi: 10.1007/s11708-017-0484-4

摘要： In this paper, the genetic algorithm (GA) is applied to optimize a grid connected solar photovoltaic (PV)-wind-battery hybrid system using a novel energy filter algorithm. The main objective of this paper is to minimize the total cost of the hybrid system, while maintaining its reliability. Along with the reliability constraint, some of the important parameters, such as full utilization of complementary nature of PV and wind systems, fluctuations of power injected into the grid and the battery’s state of charge (SOC), have also been considered for the effective sizing of the hybrid system. A novel energy filter algorithm for smoothing the power injected into the grid has been proposed. To validate the proposed method, a detailed case study has been conducted. The results of the case study for different cases, with and without employing the energy filter algorithm, have been presented to demonstrate the effectiveness of the proposed sizing strategy.

关键词： PV-wind-battery hybrid system     size optimization     genetic algorithm    

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Optimal design and development of PV-wind-battery based nano-grid system: A field-on-laboratory demonstration

B. TUDU, K. K. MANDAL, N. CHAKRABORTY

《能源前沿（英文）》 2019年 第13卷 第2期   页码 269-283 doi: 10.1007/s11708-018-0573-z

摘要： The present paper has disseminated the design approach, project implementation, and economics of a nano-grid system. The deployment of the system is envisioned to acculturate the renewable technology into Indian society by field-on-laboratory demonstration (FOLD) and “bridge the gaps between research, development, and implementation.” The system consists of a solar photovoltaic (PV) (2.4 kWp), a wind turbine (3.2 kWp), and a battery bank (400 Ah). Initially, a prefeasibility study is conducted using the well-established HOMER (hybrid optimization model for electric renewable) software developed by the National Renewable Energy Laboratory (NREL), USA. The feasibility study indicates that the optimal capacity for the nano-grid system consists of a 2.16 kWp solar PV, a 3 kWp wind turbine, a 1.44 kW inverter, and a 24 kWh battery bank. The total net present cost (TNPC) and cost of energy (COE) of the system are US$20789.85 and US$0.673/kWh, respectively. However, the hybrid system consisting of a 2.4 kWp of solar PV, a 3.2 kWp of wind turbine, a 3 kVA of inverter, and a 400 Ah of battery bank has been installed due to unavailability of system components of desired values and to enhance the reliability of the system. The TNPC and COE of the system installed are found to be US$20073.63 and US$0.635/kWh, respectively and both costs are largely influenced by battery cost. Besides, this paper has illustrated the installation details of each component as well as of the system. Moreover, it has discussed the detailed cost breakup of the system. Furthermore, the performance of the system has been investigated and validated with the simulation results. It is observed that the power generated from the PV system is quite significant and is almost uniform over the year. Contrary to this, a trivial wind velocity prevails over the year apart from the month of April, May, and June, so does the power yield. This research demonstration provides a pathway for future planning of scaled-up hybrid energy systems or microgrid in this region of India or regions of similar topography.

关键词： photovoltaic (PV)     wind     battery     nano-grid     hybrid optimization model for electric renewable (HOMER)     field-on-lab demonstration (FOLD)    

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Optimal operation of microgrid using hybrid differential evolution and harmony search algorithm

S. SURENDER REDDY,Jae Young PARK,Chan Mook JUNG

《能源前沿（英文）》 2016年 第10卷 第3期   页码 355-362 doi: 10.1007/s11708-016-0414-x

摘要： This paper proposes the generation scheduling approach for a microgrid comprised of conventional generators, wind energy generators, solar photovoltaic (PV) systems, battery storage, and electric vehicles. The electrical vehicles (EVs) play two different roles: as load demands during charging, and as storage units to supply energy to remaining load demands in the MG when they are plugged into the microgrid (MG). Wind and solar PV powers are intermittent in nature; hence by including the battery storage and EVs, the MG becomes more stable. Here, the total cost objective is minimized considering the cost of conventional generators, wind generators, solar PV systems and EVs. The proposed optimal scheduling problem is solved using the hybrid differential evolution and harmony search (hybrid DE-HS) algorithm including the wind energy generators and solar PV system along with the battery storage and EVs. Moreover, it requires the least investment.

关键词： battery storage     electric vehicles (EVs)     microgrid (MG)     optimal scheduling     solar photovoltaic (PV) system     wind energy conversion system    

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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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PV/T太阳能热泵系统的性能研究

裴刚,季杰,何伟,孙炜

《中国工程科学》 2006年 第8卷 第9期   页码 49-56

摘要：

提出一种新型的太阳能热泵系统——PV/T-SAHP系统，该系统具有光电/光热综合利用的功能；建立了PV/T-SAHP系统的动态模型，对该系统的运行特性进行了数值模拟。结果显示，PV/T-SAHP系统的电效率和热效率较传统的太阳能系统和热泵系统都有明显提高，运行能耗较普通热泵大幅度降低；系统PV/T蒸发器的面积、管间距、倾角等参数的变化对电效率和热性能会产生比较大的影响

关键词： 太阳能热泵     光电光热综合利用     PV/T     SAHP    

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State-of-art review of the optimization methods to design the configuration of hybrid renewable energy

Maurizio FACCIO, Mauro GAMBERI, Marco BORTOLINI, Mojtaba NEDAEI

《能源前沿（英文）》 2018年 第12卷 第4期   页码 591-622 doi: 10.1007/s11708-018-0567-x

摘要： The current research aims to present an inclusive review of latest research works performed with the aim of improving the efficiency of the hybrid renewable energy systems (HRESs) by employing diverse ranges of the optimization techniques, which aid the designers to achieve the minimum expected total cost, while satisfying the power demand and the reliability. For this purpose, a detailed analysis of the different classification drivers considering the design factors such as the optimization goals, utilized optimization methods, grid type as well as the investigated technology has been conducted. Initial results have indicated that of all optimization goals, load demand parameters including loss of power supply probability (LPSP) and loss of load probability (LLP), cost, sizing (configuration), energy production, and environmental emissions are the most frequent design variables which have been cited the most. Another result of this paper indicates that almost 70% of the research projects have been dedicated toward the optimization of the off-grid applications of the HRESs. Furthermore, it has been demonstrated that, integration of the PV, wind and battery is the most frequent configuration. In the next stage of the paper, a review concerning the sizing methods has also been carried out to outline the most common techniques which are used to configure the components of the HRESs. In this regard, an analysis covering the optimized indicators such as the cost drivers, energy index parameters, load indicators, battery’s state of charge, PV generator area, design parameters such as the LPSP, and the wind power generation to load ratio, has also been performed.

关键词： hybrid renewable energy systems (HRESs)     design and optimization     environmental pollutions     PV array     wind turbines (WTs)     inverter     diesel generator (DG)    

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Potential and economic viability of standalone hybrid systems for a rural community of Sokoto, North-west

O. D. OHIJEAGBON,Oluseyi. O AJAYI

《能源前沿（英文）》 2014年 第8卷 第2期   页码 145-159 doi: 10.1007/s11708-014-0304-z

摘要： An assessment of the potential and economic viability of standalone hybrid systems for an off-grid rural community of Sokoto, North-west Nigeria was conducted. A specific electric load profile was developed to suite the community consisting 200 homes, a school and a community health center. The data obtained from the Nigeria Meteorological Department, Oshodi, Lagos (daily mean wind speeds, and daily global solar radiation for 24 years from 1987 to 2010) were used. An assessment of the design that will optimally meet the daily load demand with a loss of load probability (LOLP) of 0.01 was performed, considering 3 stand-alone applications of photovoltaic (PV), wind and diesel, and 3 hybrid designs of wind-PV, wind-diesel, and solar-diesel. The diesel standalone system (DSS) was taken as the basis of comparison as the experimental location has no connection to a distribution network. The HOMER® software optimizing tool was engaged following the feasibility analysis with the RETScreen software. The wind standalone system (WSS) was found to be the optimal means of producing renewable electricity in terms of life cycle cost as well as levelised cost of producing energy at $0.15/(kW·h). This is competitive with grid electricity, which is presently at a cost of approximately $0.09/(kW·h) and 410% better than the conventional DSS at a levelized cost of energy (LCOE) of $0.62/kWh. The WSS is proposed for communities around the study site.

关键词： photovoltaic (PV) power     wind power     solar-wind hybrid     cost per kilowatt-hour     clean energy    

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Intelligent hybrid power generation system using new hybrid fuzzy-neural for photovoltaic system and

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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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    

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A control scheme with performance prediction for a PV fed water pumping system

Ramesh K GOVINDARAJAN,Pankaj Raghav PARTHASARATHY,Saravana Ilango GANESAN

《能源前沿（英文）》 2014年 第8卷 第4期   页码 480-489 doi: 10.1007/s11708-014-0334-6

摘要： This paper focuses on modeling and performance predetermination of a photovoltaic (PV) system with a boost converter fed permanent magnet direct current (PMDC) motor-centrifugal pump load, taking the converter losses into account. Sizing is done based on the maximum power generated by the PV array at the average irradiation. Hence optimum sizing of the PV array for the given irradiation at the geographical location of interest is obtained using the predetermined values. The analysis presented here involves systems employing maximum power point tracking (MPPT) as they are more efficient than directly coupled systems. However, the voltage and power of the motor might rise above rated values for irradiations greater than the average when employing MPPT, hence a control scheme has been proposed to protect the PMDC motor from being damaged during these conditions. This control scheme appropriately chooses the optimum operating point of the system, ensuring long-term sustained operation. The numerical simulation of the system is performed in Matlab/Simulink and is validated with experimental results obtained from a 180 V, 0.5 hp PMDC motor coupled to a centrifugal pump. The operation of the system with the proposed control scheme is verified by varying the irradiation levels and the relevant results are presented.

关键词： photovoltaic system     boost converter     maximum power point tracking (MPPT)     DC permanent-magnet motor     centrifugal pump    

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PV based water pumping system for agricultural irrigation

T A BINSHAD,K VIJAYAKUMAR,M KALEESWARI

《能源前沿（英文）》 2016年 第10卷 第3期   页码 319-328 doi: 10.1007/s11708-016-0409-7

摘要： This paper investigates the operation and analysis of the photovoltaic water pumping system in detail. Power electronic controllers were designed and developed for the water pumping system using a boost converter along with an inverter followed by an induction motor pump set. The proposed system could be employed in agricultural irrigation under any operating condition of varying natures of solar irradiances and temperatures. The configuration and implementation of the system were described in detail. Further, the detailed method of analysis and simulation characteristics of such PV water pumping system was also presented. With the concern of shortage of fossil fuel, global warming and energy security, the proposed PV based water pumping system can meet the significant demand of electricity and serve for the agricultural sector.

关键词： photovoltaic water pumping system     power electronic controller     solar irradiances and temperature    

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Estimation and optimization operation in dealing with inflow and infiltration of a hybrid sewerage system

Mingkai Zhang, He Jing, Yanchen Liu, Hanchang Shi

《环境科学与工程前沿（英文）》 2017年 第11卷 第2期 doi: 10.1007/s11783-017-0912-z

摘要： Inflow and infiltration of a sewage system was estimated by synthetic model. Homological feature of catchments was recognized by self-organizing map. Occurrence risk index was proposed to assess catchment operation problem. Optimal strategy was used to reduce surcharge events and improve effluent quality. Inflow and infiltration (I/I) are serious problems in hybrid sewerage systems. Limited sewerage information impedes the estimation accuracy of I/I for each system catchment because of its unknown distribution. A new method proposed to deal with I/I of a large-scale hybrid sewerage system with limited infrastructure facility data is presented in this study. The catchment of representative pump stations was adopted to demonstrate the homological catchments that have similar wastewater fluctuation characteristics. Homological catchments were clustered using the self-organizing map (SOM) analysis based on long-term daily flow records of 50 pumping stations. An assessment index was applied to describe the I/I and overflow risk of representative pump stations in the catchment based on the hourly wastewater quality and quantity data. The potential operational strategy of homological catchments was generated by the assessment index of representative pump stations. The simulation results of the potential operational strategy indicated that the optimized operation strategy could reduce surcharge events and significantly improve the quality of wastewater treatment plant effluent.

关键词： Hybrid sewerage system     Wastewater treatment plant     Optimization operation     Inflow     Infiltration    

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Framework design of a hybrid energy system by combining wind farm with small gas turbine power plants

Nengsheng BAO, Weidou NI,

《能源前沿（英文）》 2010年 第4卷 第2期   页码 205-210 doi: 10.1007/s11708-009-0073-2

摘要： Owing to the stochastic characteristic of natural wind speed, the output fluctuation of wind farm has a negative impact on power grid when a large-scale wind farm is connected to a power grid. It is very difficult to overcome this impact only by wind farm itself. A novel power system called wind-gas turbine hybrid energy system was discussed, and the framework design of this hybrid energy system was presented in detail in this paper. The hybrid energy system combines wind farm with several small gas turbine power plants to form an integrated power station to provide a relatively firm output power. The small gas turbine power plant has such special advantages as fast start-up, shutdown, and quick load regulation to fit the requirement of the hybrid energy system. Therefore, the hybrid energy system uses the output from the small gas turbine power plants to compensate for the output fluctuation from the wind farm for the firm output from the whole power system. To put this hybrid energy system into practice, the framework must be designed first. The capacity of the wind farm is chosen according to the capacity and units of small gas turbine power plants, load requirement from power grid, and local wind energy resource distribution. Finally, a framework design case of hybrid energy system was suggested according to typical wind energy resource in Xinjiang Autonomous Region in China.

关键词： framework design     hybrid energy system     wind farm     gas turbine power plants    

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Engine-driven hybrid air-conditioning system

Chaokui QIN , Hongmei LU , Xiong LIU , Gerhard SCHMITZ ,

《能源前沿（英文）》 2009年 第3卷 第1期   页码 109-116 doi: 10.1007/s11708-009-0003-3

摘要： A hybrid air-conditioning system that combines an engine-driven chiller with desiccant dehumidification was configured and experimentally tested to provide reliable data for energy consumption and operation cost. The engine performance and the desiccant wheel performance were measured and a numeric model previously set up for dehumidification capacity prediction was validated. For a reference building, the results based upon measured data show that under present electricity/gas price ratio, more than 40% of operation cost can be saved by the hybrid system.

关键词： engine-driven chiller     desiccant wheel     hybrid air-conditioning system     energy consumption    

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标题 作者 时间 类型 操作

Sizing of hybrid PMSG-PV system for battery charging of electric vehicles

M. M. RAJAN SINGARAVEL,S. ARUL DANIEL

期刊论文

A genetic algorithm based improved optimal sizing strategy for solar-wind-battery hybrid system using

Aeidapu MAHESH, Kanwarjit Singh SANDHU

期刊论文

Optimal design and development of PV-wind-battery based nano-grid system: A field-on-laboratory demonstration

B. TUDU, K. K. MANDAL, N. CHAKRABORTY

期刊论文

Optimal operation of microgrid using hybrid differential evolution and harmony search algorithm

S. SURENDER REDDY,Jae Young PARK,Chan Mook JUNG

期刊论文

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

Rahul SHARMA,Sathans SUHAG

期刊论文

PV/T太阳能热泵系统的性能研究

裴刚,季杰,何伟,孙炜

期刊论文

State-of-art review of the optimization methods to design the configuration of hybrid renewable energy

Maurizio FACCIO, Mauro GAMBERI, Marco BORTOLINI, Mojtaba NEDAEI

期刊论文

Potential and economic viability of standalone hybrid systems for a rural community of Sokoto, North-west

O. D. OHIJEAGBON,Oluseyi. O AJAYI

期刊论文

Intelligent hybrid power generation system using new hybrid fuzzy-neural for photovoltaic system and

Alireza REZVANI,Ali ESMAEILY,Hasan ETAATI,Mohammad MOHAMMADINODOUSHAN

期刊论文

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

Akhil GUPTA,Saurabh CHANANA,Tilak THAKUR

期刊论文

A control scheme with performance prediction for a PV fed water pumping system

Ramesh K GOVINDARAJAN,Pankaj Raghav PARTHASARATHY,Saravana Ilango GANESAN

期刊论文

PV based water pumping system for agricultural irrigation

T A BINSHAD,K VIJAYAKUMAR,M KALEESWARI

期刊论文

Estimation and optimization operation in dealing with inflow and infiltration of a hybrid sewerage system

Mingkai Zhang, He Jing, Yanchen Liu, Hanchang Shi

期刊论文

Framework design of a hybrid energy system by combining wind farm with small gas turbine power plants

Nengsheng BAO, Weidou NI,

期刊论文

Engine-driven hybrid air-conditioning system

Chaokui QIN , Hongmei LU , Xiong LIU , Gerhard SCHMITZ ,

期刊论文