scholarly journals Modeling and Swarm Intelligence Based Control of Hybrid Wind-PV System for Grid Integration

Author(s):  
B. Manoj Kumar ◽  
Ramesh P.

With the degradation of fossil fuels, recent era witness the penetration of renewable energy sources like wind and solar energy into various electrical applications. Integration of these renewable energy sources is of prime importance as they possess zero carbon emission, environmental friendly and zero fuel cost. However, the unpredictability and unreliable nature of solar and wind motivates the combine utilization of these sources i.e. hybrid energy systems. These systems are more reliable and have better continuous production of electrical energy than using the sources individually. Combination of hybrid energy system into grid/standalone applications demands the use of power electronic interface and appropriate control strategy. In this context, this thesis aims at development of a hybrid Photovoltaic (PV)/wind energy based systems for grid connected application. PV and wind are hybridized on a DC side to avoid the synchronizing issues between the sources. However, the proposed hybrid system is integrated on distribution side of the grid with a DC/AC converter (inverter). Considering the essential need of synchronization, the control input i.e. pulses to the inverter are generated from a voltage and frequency controller i.e. Phase Lock Loop (PLL).The task of tuning the controller is formulated as an optimization problem and is solved using Particle Swarm Optimization (PSO) technique. The objective of the system is to meet the load demand and to manage the power generated from different sources at different operating conditions. Each module in the complete system is modeled on Matlab/Simulink platform. Also, the performance of the system is tested for additional utilization of battery charging.

2019 ◽  
Vol 8 (1) ◽  
pp. 13-30 ◽  
Author(s):  
C. Mekontso ◽  
Abdulkarim Abubakar ◽  
S. Madugu ◽  
O. Ibrahim ◽  
Y. A. Adediran

The growing evidence of the global warning phenomena and the rapid depletion of fossil fuels have drawn the world attention to the exploitation of renewable energy sources (RES). However standalone RES have been proven to be very expensive and unreliable in nature owing to the stochastic nature of the energy sources. Hybrid energy system is an excellent solution for electrification of areas where the grid extension is difficult and not economical. One of the main attribute of hybridising is to be able to optimally size each RES including storages with the aim of minimizing operation costs while efficiently and reliably responding to load demand. Hybrid RES emerges as a trend born out of the need to fully utilize and solve problems associated with the reliability of RES. This paper present a review of techniques used in recent optimal sizing of hybrid RES. It discusses several methodologies and criteria for optimization of hybrid RES. The recent trend in optimization in the field of hybrid RES shows that bio-inspired techniques may provide good optimization of system without extensive long weather data.


2019 ◽  
Vol 128 ◽  
pp. 05001 ◽  
Author(s):  
Marek Jaszczur ◽  
Qusay Hassan ◽  
Haidar N. Al-Anbagi ◽  
Patryk Palej

The increase in global energy consumption and the expected exhaustion of traditional energy sources, especially in the last century, led to an increased search for alternative sources of energy.The use of renewable energy sources has become extremely important to reduce dependence on fossil fuels. Due to the stochastic nature of the renewable energy sources such as the wind speed fluctuation and the intensity of solar radiation the stable operation of the systems base single renewable source can be problematic. But the using two or more of these sources results in higher stability than relying on a single source. For this reason, hybrid renewable energy systems have become an attractive solution in thefield of renewable energy. A hybrid energy system is a combination of two or more renewable energy sources that can enhance each another to increase the reliability of the supplied energy. The objective of this paper is investigation about the energy supplying improvement and the energy efficiency utilisation by hybridisation using two renewable energy resources: wind energy and solar energy with respect two different optimisation objectives: economical to reduce the net present cost and ecological to reduce CO2 emissions. Presented system has been implemented to supply a single household with an electric load.


2021 ◽  
Vol 899 (1) ◽  
pp. 012048
Author(s):  
Evangelia Karasmanaki

Abstract Examining willingness-to-pay (WTP) for renewable energy sources (RES) as well as views on energy topics can enable policymakers to design effective measures for facilitating the transition from fossil fuels to a renewable-based energy system. The aim of this study was to investigate environmental students’ willingness-to-pay for renewables and their views on various energy topics. Results showed that respondents preferred renewable-based electricity production to conventional energy production while solar energy emerged as the most preferred renewable type. In addition, most respondents were willing to pay for renewable energy but would pay relatively low sums of money per month. Moreover, respondents were divided over whether new lignite plants should be constructed in Greece. Finally, social media and special websites were the most favored media of daily information.


2020 ◽  
pp. 43-54
Author(s):  
Helena M. Ramos ◽  
◽  
Mariana Simão

A elevada intermitência das fontes de energia renováveis condiciona a produção de energia elétrica, que continua a depender muito dos combustíveis fósseis. Uma vez que existe complementaridade por parte das fontes de energia renováveis, a sua integração conjunta é, sem dúvida, a melhor solução para reduzir esta dependência. Aliado a este facto, poderá coexistir um sistema de armazenamento por bombagem, capaz de gerar reservas hídricas, que serão aproveitadas quando a procura exceder a oferta energética. Procedeu-se ao desenvolvimento de dois modelos: um sobre custos de turbomáquinas e outro que visa o estudo do potencial de recuperação de energia de uma solução energética híbrida com armazenamento por bombagem combinado com fonte de energia eólica. Foram estudadas diferentes combinações para estas duas fontes de energia renovável, analisando o consumo satisfeito e a energia eólica não consumida, tendo-se concluído que o excedente de energia eólica pode ser aproveitado para bombagem. The high intermittence of renewable energy sources determines the production of electricity, which remains highly dependent on fossil fuels. Since there is complementarity between renewable energy sources, their joint integration is a potential solution to reduce this dependency. Consequentially, a pumping storage system capable of generating water reserves can coexist, which will be used when demand exceeds the energy supply. Two models were developed: one based on turbomachinery costs and the other based on the potential of energy recovery of a hybrid energy solution with pump storage combined with wind energy. Different combinations were studied for these two sources, analysing the satisfied consumption and the wind energy that is not consumed, in which it was concluded that the surplus of wind energy can be used by pumped storage.


A Smart Grid is a reviving structure of traditional centralized power sector which incorporates smart software and hardware technologies. It provides communication among the prosumers and consumers to achieve sustainability and reliability in an economical way. A microgrid (MG) is a unit of smart grid which consists of distributed energy sources with renewable energy sources, energy storage units and variable loads. Because of stochastic nature of renewable energy sources to maintain balance between supply and demand a novel hybrid energy management controller need to be devised. This paper presents various operational objectives and constraints associated with energy management system of hybrid energy system. Also it compares and discusses various optimization algorithms in the literature.


Author(s):  
A. T. D. Perera

The importance of integrating renewable energy sources into standalone energy systems is highlighted in recent literature. Maintaining energy efficiency is challenging in designing such hybrid energy systems (HES) due to seasonal variation of renewable energy potential. This study evaluates the limitations in minimizing the losses in renewable energy generated mainly due to energy storage limitations and minimizing fuel consumption of the internal combustion generator (ICG). A standalone hybrid energy system with Solar PV (SPV), wind, battery bank and an ICG is modeled and optimized in this work. Levelized Energy Cost (LEC), Waste of Renewable Energy (WRE) and Fuel Consumption (FC) are taken as objective functions. Results highlight the importance of considering WRE as an objective function which increase the mix of energy sources that can help to increase the reliability of the system.


Author(s):  
ZHIGANG TIAN ◽  
AMIR AHMAD SEIFI

A hybrid energy system integrates renewable energy sources like wind, solar, micro-hydro and biomass, fossil fuel power generators such as diesel generators and energy storage. Hybrid energy system is an excellent option for providing electricity for remote and rural locations where access to grid is not feasible or economical. Reliability and cost-effectiveness are the two most important objectives when designing a hybrid energy system. One challenge is that the existing methods do not consider the time-varying characteristics of the renewable sources and the energy demand over a year, while the distributions of a power source or demand are different over the period, and multiple power sources can often times complement one another. In this paper, a reliability analysis method is developed to address this challenge, where wind and solar are the two renewable energy sources that are considered. The cost evaluation of hybrid energy systems is presented. A numerical example is used to demonstrate the proposed method.


Author(s):  
Roshani Goel

India’s energy needs are in demand with the increase in energy and other electric uses which is highest among the world. There are sectors which heavily rely on energy generated by fossil fuels but there is also seen a paradigm shift towards renewable energy sources. If India continues to rely on the former then they end up blocking development in energy system meeting uncertainties and face difficulties in supply of fossil fuels. To meet the fast-growing economy, India needs to supply the energy 3-4 times more of what they are supplying now. Government of India has become aware of the situation and has started facilitating polices in action towards a sustainable energy. As of 2019, India’s on grid renewable energy capacity is 85.9 GW. Government is working to establish 500 GW of renewable energy source by 2030.


2011 ◽  
Vol 2011 ◽  
pp. 1-7 ◽  
Author(s):  
P. Balamurugan ◽  
S. Kumaravel ◽  
S. Ashok

The focus of the world on renewable energy sources is growing rapidly due to its availability and environment friendliness. However, the renewable energy influenced by natural conditions is being intermittent, it is difficult to accomplish stable energy supply only by one kind of renewable energy source. In order to achieve reliability, it is necessary to integrate two or more energy sources together in an optimal way as hybrid energy system. Optimal allocation of sources, unpredictable load demand, intermittent behaviors of sources, and charging and discharging of storage devices are the major challenges in operating a hybrid energy system. A new controller algorithm is developed and implemented in controller hardware to overcome the above issues. The controller is incorporated in biomass gasifier-based hybrid energy system in a university campus at south India. A case study is carried out in real-time at the site for a typical day. From the experimentation, it is estimated that the annual savings in the operating cost are Rs 375,459.00 ($8475.4) for the optimal allocation of the sources by the controller.


Author(s):  
A. T. D. Perera ◽  
R. A. Attalage ◽  
K. K. C. K. Perera

Expanding existing Internal Combustion Generator (ICG) systems by incorporating renewable energy sources is getting popular due to its potential to reduce the emission of Green House Gases (GHG) and fuel consumption. Designing such Hybrid Energy System (HES)s become challenging due to the seasonal variation of renewable energy sources resulting either poor reliability of power supply or higher expenditure, which makes it essential to optimize Levelized Energy Cost (LEC), unmet load fraction and renewable energy capacity at the early design stages. This study evaluates the results obtained through such optimization based on evolutionary algorithm. In order to accomplish this, mathematical modeling and simulation of a stand-alone HES was carried out along with the optimization. Obtained results shows that both wind and Solar PV (SPV) capacity is having a significant impact on LEC, unmet load fraction and fuel consumption.


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