Distributed generation system control strategies with PV and fuel cell in microgrid operation

Bai, Wenlei; Abedi, M. Reza; Lee, Kwang Y.

doi:10.1016/j.conengprac.2016.02.002

Cited by 87 publications

(42 citation statements)

References 17 publications

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“…For voltage level improvement, degrading distribution losses etc is the main aim to the integrated h-NDG. [24][25][26] These papers lag the complete use of the solar irradiation for extracting significant amount of power from the SPV array resulting in higher electrical efficiency. Wind power can be derived from WES for which wind turbine is considered to be the sole medium and the power thus generated is ac in nature.…”

Section: Introductionmentioning

confidence: 99%

Demonstrating the benefits of thermoelectric‐coupled solar PV system in microgrid challenging conventional integration issues of renewable resources

Jena

Kar

2019

Int J Energy Res

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Incorporation of solar photovoltaic (SPV) and thermoelectric (TE), termed as solar photovoltaic-thermoelectric (SPV-TE) hybrid system, is found be a very promising technique in widening the utilization of solar spectrum and improving the power yield viably cum-proficiently. This hybrid architecture caters electrical energy with additional thermal energy, which signifies upon harnessing of solar insolation in an exceptional way. The implementation of the aforementioned system in microgrid (MG) leads to procurement of higher active power and comparably lesser reactive power to the system. Many nonconventional energy sources have been implemented for power generation in MG in spite of their instability and reconciliation issues. This article portrays upon the main concern of implementing only SPV-TE system in MG by considering two systems to analyze and compare. Those two systems, ie, SPV-wind energy system (SPV-WES)/fuel cell technology (FCT) and SPV-thermoelectric generator (SPV-TEG)-WES/FCT, were analyzed and validated over the employment of only the SPV-TEG system. For WES and FCT, the proposed system delivers higher active power near about 20% to 70% over the conventional MG and the TEG-integrated MG; 21% to 52% lesser reactive power is absorbed over the conventional MG and 7% to 17% higher reactive power is absorbed over the TEG-integrated MG. This, thus, brings about the lesser multifaceted nature in source incorporation and moderating the cons of coordinating WES and FCT, considering all its application. The proposed replaceable SPV-TEG framework in MG is observed to exceed expectations over the two frameworks offering ascend to a noteworthy leap forward in advancement of SPV. The whole system was studied, analyzed, and validated in MATLAB/Simulink environment.

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Section: Introductionmentioning

confidence: 99%

Demonstrating the benefits of thermoelectric‐coupled solar PV system in microgrid challenging conventional integration issues of renewable resources

Jena

Kar

2019

Int J Energy Res

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“…Note that 15 scenarios are generated by the GDFM for each farm, and that they are correlated with each other. However, if random scenarios are used to represent the uncertainty, it would have been 15 23 scenarios without certain scenario reduction techniques, which is not feasible to solve. In this study, we chose 100 uncorrelated random scenarios.…”

Section: Case 1: Quadratic Fuel Cost Minimizationmentioning

confidence: 99%

“…Each artificial bee can store current information and communicate with other bees. The ABC has been used in various applications [22,23]. There are three types of bees: employed bees, onlooker bees, and scout bees.…”

Section: Original Abc Algorithmmentioning

confidence: 99%

Stochastic Dynamic AC Optimal Power Flow Based on a Multivariate Short-Term Wind Power Scenario Forecasting Model

Bai¹,

Lee

2017

Energies

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The deterministic methods generally used to solve DC optimal power flow (OPF) do not fully capture the uncertainty information in wind power, and thus their solutions could be suboptimal. However, the stochastic dynamic AC OPF problem can be used to find an optimal solution by fully capturing the uncertainty information of wind power. That uncertainty information of future wind power can be well represented by the short-term future wind power scenarios that are forecasted using the generalized dynamic factor model (GDFM)-a novel multivariate statistical wind power forecasting model. Furthermore, the GDFM can accurately represent the spatial and temporal correlations among wind farms through the multivariate stochastic process. Fully capturing the uncertainty information in the spatially and temporally correlated GDFM scenarios can lead to a better AC OPF solution under a high penetration level of wind power. Since the GDFM is a factor analysis based model, the computational time can also be reduced. In order to further reduce the computational time, a modified artificial bee colony (ABC) algorithm is used to solve the AC OPF problem based on the GDFM forecasting scenarios. Using the modified ABC algorithm based on the GDFM forecasting scenarios has resulted in better AC OPF' solutions on an IEEE 118-bus system at every hour for 24 h.

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“…Accordingly, this idea is achieved by the advent of Microgrid/Smart grids [16]. In fact, micro renewable sources, power electronic interfaces, primary & secondary controllers, energy storages, revised protection strategies, and communication technologies are aggregated in the Microgrid concept [17][18][19]. According to the whole bunch of technologies mentioned, numerous potential fields of research are in front of relevant scientists.…”

Section: Energy Management System In Electric Vehiclementioning

confidence: 99%

Electric and Hybrid Vehicle Drives and Smart Grid Interfacing

Sharaf¹,

Omar

Gandoman

et al. 2018

Advances in Renewable Energies and Power Technologies

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Over the few last decades, the demand for electrical energy is rising remarkably. As a result, the usage of environmentally friendly and renewable energy sources has been increased. Parallel to these developments, the number of the gasoline-powered vehicle has been increased and therefore the energy shortages and environmental concerns increased as well. From this perspective, research into the usage of renewable energy sources instead of fossil fuels in the automotive industry is proceeding fast. One of the most important issues, which play a significant role in overcoming the problem mentioned above, is the implementation of modern electrical networks including Electric Vehicle (EVs). In this chapter, the standard EVs applications in smart grids are presented and discussed. Besides, two novel low-impacts efficient Vehicle to Hybrid (V2H) battery and Hybrid Vehicle to Grid (V2G) smart grid battery are presented. The new schemes utilized switched filter-capacitive compensation to ensure fast multi-mode charging with enhanced power quality and power factor in addition to minimal inrush currents and improved energy utilization.

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Distributed generation system control strategies with PV and fuel cell in microgrid operation

Cited by 87 publications

References 17 publications

Demonstrating the benefits of thermoelectric‐coupled solar PV system in microgrid challenging conventional integration issues of renewable resources

Demonstrating the benefits of thermoelectric‐coupled solar PV system in microgrid challenging conventional integration issues of renewable resources

Stochastic Dynamic AC Optimal Power Flow Based on a Multivariate Short-Term Wind Power Scenario Forecasting Model

Electric and Hybrid Vehicle Drives and Smart Grid Interfacing

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