Analysis and design of a sustainable microgrid primarily powered by renewable energy sources with dynamic performance improvement

Akhtar, Iram; Kirmani, Sheeraz; Jamil, Majid

doi:10.1049/iet-rpg.2018.5117

Cited by 26 publications

(5 citation statements)

References 31 publications

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“…Tamil Nadu is having 37 %, Rajasthan is 26%, Karnataka is 25%, Gujarat is 22% and the Maharashtra is 12 % approx. As the distributed networks in the microgrid has smaller inertia and take severe stability tasks in comparison with the old power networks [40][41], therefore, precise wind speed prediction becomes serious issue for microgrids when connected to wind sources. It is very difficult to estimate the hybrid energy based system due to their inconsistency.…”

Section: Introductionmentioning

confidence: 99%

Average Monthly Wind Power Forecasting Using Fuzzy Approach

Akhtar

Kirmani

Ahmad³

et al. 2021

IEEE Access

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The growth in sustainable generation technology such as fuel cell, wind energy conversion system, photovoltaic system, increase in fuel cost, energy necessity and the reduction in the fossil fuel reserve, for better power quality and reliability, is obliging the power sector to use the renewable based energy sources. In India, wind energy is gradually becoming an important and significant energy resource. Keeping in opinion the aforementioned wind energy prediction is becoming an essential study for harnessing the wind energy prospective. This paper proposes an effective technique based on intelligent approach for predicting wind power in different areas. This technique is based on using an intelligent model concerning the predicted gap to its similar one and two year old data. There are many intelligent and conventional models existed in literature for the wind power prediction like support vector machines (SVM), back propagation (BP) prediction etc. In this paper an effective fuzzy logic and model predictive control based models have been developed and offered for the wind power prediction for microgrid application by using air density and wind speed as the input parameters for fuzzy system. The outcomes are compared with the computed data and existing models and it can be observed that the different errors are found within the permissible limits. The outcomes obtained from fuzzy based technique are very close to calculated values if compared with model predictive based technique. Hence, the proposed models can be employed for the prediction of wind speed and wind power generation in the selected stations. The existing models results are compared with Kolkata city outcomes. The Error RMSE with Support vector machine, Back propagation, Model of forecast error correction +SVM and Model of forecast errors correction +BP, Neural Network method, model predictive based system, and proposed fuzzy logic based system are 30.48%, 32.83%, 26.81% , 28.58% , 1.1431% , 1.38% and 1.12% respectively. Therefore, the proposed techniques provide the best results and even these are observed within the suitable limits. Additionally, the achieved outcomes can be used for Microgrid/SmartGrid applications. INDEX TERMSWind energy, Model predictive control, fuzzy logic, Microgrid NOMENCLATURE Support vector machines Back propagation Artificial intelligence Energy taken from wind turbine 1 Upstream turbine speed 2 Wind speed at turbine 3 Downstream turbine speed Wind velocity Rotor shaft area Wind Power Maximum wind power Swept area Densityof air V k *

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Section: Introductionmentioning

confidence: 99%

Average Monthly Wind Power Forecasting Using Fuzzy Approach

Akhtar

Kirmani

Ahmad³

et al. 2021

IEEE Access

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“…Therefore, efforts have been made in this work to look into the overall outlook of solar energy and coal based generation by analyzing the present scenario, machineries use, availability, policies interventions, major assistances, future potentials and trends of solar energy systems and fossil fuels in the power sector. The burdens on the conventional grid due to energy deficit, peak demand, and carbon footprint can be minimized by the alternative energy sources [40][41][42][43].Therefore solar energy system is a major substitute option in India with the capability to provide an improved supply, reduced global warming and improvement in the security of energy supply. In this paper, efforts have been made to highlight the present status of solar and coal technologies and their penetration.…”

Section: Introductionmentioning

confidence: 99%

Feasibility Analysis of Solar Technology Implementation in Restructured Power Sector With Reduced Carbon Footprints

et al. 2021

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Solar energy technology has gained significant attention in recent years. It has strongly emerged as an alternative to the conventional mode of electricity generation for developing countries like India for their rising energy needs. Solar energy based electricity generation not only addresses environmental concerns but also increases the energy security and reduces the carbon footprints generated by the coal-based power plant. To boost the share of Renewable energy in the energy mix, the renewable energy policy introduced by the government has acted as a catalyst for large scale deployment of solar energy system to push it as the major energy alternative for India. The normal intensity of solar radiation in India is 220 MW per km square with around 300 sunny days in a year, whereas the coal-based plant generates a huge amount of carbon footprints. Therefore, solar based power generation has the potential of not only reducing the emissions and but also it can cater the rising energy demand. Thus solar photovoltaic plants has become a major alternative energy option in India with the ability to give an improved power supply, reduced global warming and enhance the security of energy supply. In this paper, efforts have been made to look into the overall perspective of solar energy and coal based generation by studying and analyzing the present status, technologies use, accessibility, policies interventions, major contributions, future potentials and trends of solar energy and fossil fuels in the Indian power sector. A feasibility analysis of solar technology implementation with the replacement of coal based plant pant is carried out for Singrauli, India. Results of the proposed study shows that the coal-based power plant generates a huge amount of carbon footprints and it can be reduced by replacing the coal based power plants with solar energy based power generation system. Consequently solar energy based power generation system is a key alternative for developing countries like India having metrological parameters similar to the case study done in this paper with the capacity to provide an improved supply, decreased global warming in addition to improving the energy security.

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“…However, the intermittent and random nature of RERs by way of being weather dependent is a cause of concern and consequently the reliability of the RER-based energy systems is on the lower side. In the recent times, hybrid renewable energy systems (HRESs), comprising two or more different RERs and energy storage systems (ESSs), have emerged to be a promising technology and have got huge potential to fulfil electricity demands of remote regions especially where grid access is not available [3,4]. In grid-independent HRESs, the ESSs become necessary to take care of the unpredictable variations in the output power available from HRESs and to ensure the reliability of supply.…”

Section: Introductionmentioning

confidence: 99%

Power management control strategy for hybrid energy storage system in a grid‐independent hybrid renewable energy system: a hardware‐in‐loop real‐time verification

Krishan

Suhag

2020

IET Renewable Power Generation

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This study proposes a novel control strategy for a hybrid energy storage system (HESS), as a part of the gridindependent hybrid renewable energy system (HRES) which comprises diverse renewable energy resources and HESScombination of battery energy storage system (BESS) and supercapacitor energy storage system (SCESS). The proposed control strategy is implemented into two parts: in the first part, HESS controller is designed and implemented to maintain the active power balance among different constituents of HRES and regulate DC-link voltage (V DC) under surplus power mode and deficit power mode. The low-frequency components of imbalance power are diverted to BESS while the high-frequency components are diverted to SCESS while maintaining the state of charge (SoC) constraints of HESS thereby reducing stress on BESS. In the second part, inverter controller is designed and implemented to maintain AC voltage and frequency within limits in the events of perturbation. The proposed HESS along with its novel control strategy, as implemented in the HRES, is a new proposition in this study. The detailed model of HRES is simulated in MATLAB/Simulink and the results prove the efficacy of the control strategy. Further, hardware-in-loop real-time simulation studies using OPAL-RT real-time simulator demonstrate the feasibility of hardware implementation of HRES with the proposed control strategy.

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Analysis and design of a sustainable microgrid primarily powered by renewable energy sources with dynamic performance improvement

Cited by 26 publications

References 31 publications

Average Monthly Wind Power Forecasting Using Fuzzy Approach

Average Monthly Wind Power Forecasting Using Fuzzy Approach

Feasibility Analysis of Solar Technology Implementation in Restructured Power Sector With Reduced Carbon Footprints

Power management control strategy for hybrid energy storage system in a grid‐independent hybrid renewable energy system: a hardware‐in‐loop real‐time verification

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