Fig 8 - uploaded by Ganesh Gowri
Content may be subject to copyright.
Source publication
In this paper, a standalone Hybrid power generation
system with improved power quality is proposed. The proposed
system consisting of Wind energy conversion system (WECS),
Diesel generator system, PV generation system and Battery
energy storage system (BESS).A hybrid system consists of wind,
solar PV, diesel generator, battery, and a controller. Ti...
Contexts in source publication
Context 1
... DC Bus Voltage regulation and VSC control strategies were same for both PV and WECS, which is explained in the latter section of the paper. Three-phase grid-connected PWM VSI PV system shown in Fig.8 ...
Context 2
... Speed are shown in Fig.17. Synchronous Generator will regulate the frequency of the grid, under minimum load or No-load on the utility; solar, wind and BESS would feed the load, in that condition synchronous generator will act as synchronous condenser delivering leading power factor The grid frequency response will not change as can be seen in Fig. 18. The proposed method can track faster with a more stable output power under load disturbance. The harmonic distortions present in the load current and voltage waveforms were observed and calculated through FFT analysis tool in Powergui in Matlab/Simulink. FFT Analysis of Grid Current, THD of 0.14% at 50 Hz .The results achieved were ...
Similar publications
![FIGURE 2. WT operating regions [10].](profile/Hossam-Mousa-3/publication/349367051/figure/fig2/AS:992116033478656@1613550303024/WT-operating-regions-10_Q320.jpg)
To improve the performance of recent perturb and observe (P&O) maximum power point tracking (MPPT) algorithms, an intelligent and robust P&O (IR-PO) algorithm is investigated for variable-speed wind energy conversion systems (WECSs). The proposed IR-PO algorithm reduces the search area for the maximum power point (MPP) by using the optimal hypothet...
Current, and Temperature Method with the parameter like convergence speed, implementation complexity and sensed parameter with the help of Simulation results of the proposed system are obtained using MATLAB/Simulink software. Photovoltaic array output characteristic is nonlinear that changes with solar irradiation and the cell"s temperature. Hence,...
In this paper present a sensorless optimal power point tracking control of doubly-fed induction generators (DFIG) in Wind Energy Conversion System (WECS) without speed sensors based of a application of the extended Kalman filter (EKF) for estimation of rotor speed and without wind speed measurements based of the characteristic curve of the wind tur...
One of the problems related to isolated microgrids with battery storage systems (BSS) and small wind turbines is related to power balance among generation, BSS, and loads, especially when the generation is higher than the consumption and the BSS is charged. This paper presents the development of a wind-powered battery charging system for isolated m...
span lang="EN-US">In this work, we presented the modelling and simulation of the electrical operation of a photovoltaic (PV) system adapted by an MPPT control, the latter is applied to the robust observer for the control of the speed without sensor of a double fed induction motor (DFIM).Our machine is powered by the PV system, where the chosen cont...
Citations
... Long term forecast helps in the assessment of solar energy and its horizon is from months to years. Unit commitment [15], [16] for power plants such as biomass, nuclear, and coal, are one day-ahead and for power plants such as gas and oil are hour ahead. This time horizon is formulated depending on their startup and shutdown times. ...
p>The increasing integration of distributed energy resources (DERs) into power grid makes it significant to forecast solar irradiance for power system planning. With the advent of deep learning techniques, it is possible to forecast solar irradiance accurately for a longer time. In this paper, day-ahead solar irradiance is forecasted using encoder-decoder sequence-to-sequence models with attention mechanism. This study formulates the problem as structured multivariate forecasting and comprehensive experiments are made with the data collected from National Solar Radiation Database (NSRDB). Two error metrics are adopted to measure the errors of encoder-decoder sequence-to-sequence model and compared with smart persistence (SP), back propagation neural network (BPNN), recurrent neural network (RNN), long short term memory (LSTM) and encoder-decoder sequence-to-sequence LSTM with attention mechanism (Enc-Dec-LSTM). Compared with SP, BPNN and RNN, Enc-Dec-LSTM is more accurate and has reduced forecast error of 31.1%, 19.3% and 8.5% respectively for day-ahead solar irradiance forecast with 31.07% as forecast skill.</p
... The literature presents the ABFC simulation parameters [12] as shown in Tab. 1. Tab. 2 [11] presents the 217.35 W solar PV module electrical characteristics, that powers the HGC with maximum power point tracking (MPPT) based on Perturb & Observation (P&O algorithm). ...
... The Microgrid (MG) under investigation in this study is off-grid and all power sources are connected through a DC bus as shown in Figure 1. This configuration makes the integration of RES easier, more effective, and is considered a remarkable solution for off-grid power system [1,2,3]. The quality of the power signal must be within an accepted range. ...
This work introduces a power management scheme based on the Fuzzy Logic Controller (FLC) to manage the power flows in a small and local distributed generation system. The stand-alone Microgrid (MG) includes wind and PV generators as main power sources. The backup system includes a battery storage system (BSS) and a diesel generator (DG) combined with a supercapacitor (SC). The different energy sources are interconnected through the DC bus. The MG is modeled using Matlab Simulink Sim_Power System™. The SC is used to compensate for the shortage of power during the start-up of the DG and to compensate the limits on the charging/discharging current of the BSS. The power balance of the system is the chief objective of the proposed management scheme. Some performance indexes are evaluated: the frequency-deviation, the stability of the DC bus voltage, and the AC voltage total harmonic distortion. The performance of the planned scheme is assessed by two 24-hours simulation sets. Simulation results confirm the effectiveness of FLC based management. Moreover, the effectiveness of the FLC approach is compared with the deterministic approach. FLC approach has saved 18.7% from the daily load over the deterministic approach. The study shows that the quality of the power signal in the case of FLC is better than the deterministic approach.
... Another concept of energy management using Maximum Point Power Tracking controller (MPPTC) for each power source of the HRES. In [19] authors propose a peturb and observ (P&O) control for PV panel and a filed oriented control (FOC) of wind system in order to extract maximum power. Same thing in [20] where authors propose a classic (P&O) method to extract maximum power from PV and a new rectifier stage topology for wind system. ...
With a growing demand for more energy from subscribers, a traditional electric grid is unable to meet new challenges, in the remote areas remains the extension of the conventional electric network very hard to do make prohibitively expensive. Therefore, a new advanced generation of traditional electrical is inevitable and indispensable to move toward an efficient, economical, green, clean and self-correcting power system. The most well-known term used to define this next generation power system is Micro Grid (MG) based on renewable energy sources (RES). Since, the energy produced by RES are not constant at all times, a wide range of energy control techniques must be involved to provide a reliable power to consumers. To solve this problem in this paper we present a Fuzzy Logic Control of isolated Hybrid Systems (HRES) Including Renewable Energy in Micro-Grids to maintain a stability in voltage and frequency output especially in the standalone application. The considered HRES combine a wind turbine (WT) and photovoltaic (PV) panels as primary energy sources and an energy storage system (ESS) based on battery as a backup solution. Simulation results obtained from MATLAB/Simulink environment demonstrate the effectiveness of the proposed algorithm in decreasing the electricity bill of customer.
... gives the solar cell[10] the equivalent circuit. The Iph, Rsh and Rse represent the cell photo current, shunt and series resistances respectively. ...
... Observe (P&O) algorithm[10] is widely used MPPT technique for boost converter. P & O MPPT algorithm inscribes that for small perturbations in panel voltage, ∆P is positive, then the desired path is in the direction of MPP, hence the duty cycle (δ) has to be incremented and continue in the same way. ...
... The inverter is being utilized for conversion of DC to AC. Depending on the grid specifications the inverters are connected directly to grid or via transformer. Substantial research is going on to increase the efficiency of the conversion by employing advanced converters one of them being Modular Multilevel Converter (MMC) [5,[6][7][8][9][10]. The modular multilevel converter is one of the multilevel converters which received attention in recent times due to its modular structure and using the sub modules for fault redundant operation [6,[8][9][10][11][12]. ...
... The 41 thermal storage projects have the capability to meet all grid service requirements of transmission and distribution with a total installed capacity of 2750 MW, and with duration of storage ranging from 6 hours to 15 hours. [22]. Compared with battery storage, this cost in per kWh is aboutof battery storage, not considering lifetime and other costs. ...
Renewable energy is being promoted amidst rising environmental concerns associated with fossil-fuel usage for power generation. The stock of such fuels is also limited and is fast depleting. Renewable energy sources such as solar photovoltaic (PV) systems present a clean alternative that has become cost-competitive with conventional thermal power generation systems. However, to counter the intermittent nature of solar power and ensure firm power supply, energy storage is essential. This paper presents a comparative analysis of power supply options based on two solar energy technologies - PV and concentrated solar power (CSP). Energy storage in the form of battery and thermal energy respectively has been included and different combinations of supply options, along with utility grid, have been analyzed in terms of the levelized cost of electricity (LCOE). The LCOE values for supplying a particular substation load in India have been compared and it was found that CSP with thermal energy storage emerged to be the economically viable option for supplying the load.
... Grid connected solar Photovoltaic (PV) system installation required land for installation, solar PV modules with converter circuits, storage device batteries and other supporting accessories [1]. Initial installations required good planning, which is very much helpful for production as well as commercial. ...
Solar energy is the most available energy among all the renewable energies, and the available range is almost 86000 TW. The global overall demand is 15TW, so only three hours production of electrical energy from solar is enough to compensate the power demand for a complete year.Clean and green environments are very much help for living things, non-renewable energy productions creates environ-mental pollution. Stand-alone system with renewable energy might be facing power failure and also effective utilizations also not possi-ble. Excess power should be export to grid and whenever the power shortage which is compensates by import power from grid, and then only effective utilization is possible. This paper deals with the investigations on transformer less inverter topologies and control strate-gies for grid connected PV system. The proposed work has high efficient single phase transformer less inverter which is controlled by PIC 16F877. This arrangement has an advantage of reliability and high level of efficiency.
... Even though these are in robust, it has some drawbacks related to control parameter selection constraints and complex theory. So, this controller performance is not efficient and effective in the inverter topology [6][7][8]. These drawbacks are overcome by an Adaptive Neuro-Fuzzy Inference System (ANFIS), it has advantages of fuzzy logic and neural networks which are fulfill the alteration rule based demand and it can determine the inference logic rules. ...
This paper presents harnessing of maximum wind energy from natural resource whenever it's available. The power electronic converters role is important In between sources and load. The load may be linear and non-linear in nature, so converters performance decides the efficiency of the system. Proper controller can switch the converter in the desired time and improve the system performance and stability. Many controllers are suggests to control the converter to get better performance in at output side. The proposed system also has boost converter, bidirectional DC-DC converter and inverter for grid and wind energy integration. The boost inverter/buck rectifier in this system is controlled by ANFIS controller is for better output, boost and bidirectional DC-DC converters are controlled by PID controller in closed loop. Overall operations are based on modes main controller speedgoat, which is control the system operation in different modes. Any variation happening in the input, storage and load parameters speedgoat changing the mode and operate the system is in effective way. Based on the system conditions speedgoat generates control signal for the control breakers, these control breakers changing modes of operation. ANFIS, PID and speedgoat are the three controllers combined together which harness maximum wind energy and this system is applicable for both linear and non-linear loads in domestic applications.
This paper emphasizes the important role of solar tracker systems in Micro/Nano grid level applications. Basically mechanical and electrical type trackers are different in operation but they are similar in way of tracking of solar energy. Mechanical trackers (Dual axis solar tracking system) are widely used where space is less and quality is more and with fixed panels solar MPPT is adoptable. Hybrid loop control which controls the relative motion of solar tracking system (STS) during the day as per the position of sun. Hybrid loop control (HLC) is effective rather than open and closed loop systems due its mode of control using sun position algorithm and sensors based as per the requirement and environmental conditions. Most commonly used sensor based trackers takes feedback to adjust the panel position in such a way to track the sun, but the situation when the sky is cloudy creates problem in performance of the system. The estimated accuracy is very close to ±0.0003º but it depends on the irradiation coming from sun. So, Sun tracking system by using solar position algorithm with accuracy is required in mechanical solar trackers and maximum power point tracking in electrical trackers. In order improve the efficiency of whole solar tracking system, we incorporated both open and closed loops i.e., hybrid loop control which plays important role to improve the overall performance. In view of that we incorporated both open and closed loops i.e., hybrid loop control. Here we presented Maximum power point tracking (MPPT) which is electrical tracking system simulated in MATLAB environment and also presented mechanical type of tracking system It is facilitated by using Programmable logic controller (PLC) to access more input/output controls and simulation has been done in CODESYS software using ladder logic programming.
