Standard microsource interface for a microgrid

Binduhewa, Prabath; Barnes, Mike; Renfrew, A.C.

doi:10.1049/ic:20080431

Cited by 5 publications

(5 citation statements)

References 2 publications

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“…A photovoltaic panel is a device that converts solar energy into electricity. The electrical characteristics of a photovoltaic panel are nonlinear, as shown in Figure 2, and the characteristic equation is presented by Equation (1) [40]. The output current of the photovoltaic panel, photocurrent, output voltage of the photovoltaic panel, series resistance of the photovoltaic 3 International Journal of Photoenergy panel, and the number of cells in the panel are given by I pv , I Ph , V pv , R s , and N, respectively.…”

Section: Photovoltaic Systemsmentioning

confidence: 99%

“…The output current of the photovoltaic panel, photocurrent, output voltage of the photovoltaic panel, series resistance of the photovoltaic 3 International Journal of Photoenergy panel, and the number of cells in the panel are given by I pv , I Ph , V pv , R s , and N, respectively. The output characteristics depend on the incident irradiance on the cell (G a ) and the temperature of the cell (T), as presented in Figure 2 [40]. As the irradiance increases, the output power increases, while the temperature increase lowers the output power.…”

Section: Photovoltaic Systemsmentioning

confidence: 99%

“…The open-circuit voltage and short-circuit current vary with the panel's temperature and the irradiance incident on a panel. The corresponding relationships are presented in Equations ( 2) and (3) [40]. Irradiance mainly impacts the short-circuit current, and the temperature impact is mainly on the open-circuit voltage.…”

Section: Photovoltaic Systemsmentioning

confidence: 99%

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Sizing Algorithm for a Photovoltaic System along an Urban Railway Network towards Net Zero Emission

Binduhewa

2021

International Journal of Photoenergy

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A reliable transportation system is essential for the development of a community. Especially in urban transportation, rail transportation is a faster, more comfortable way to travel for the commuters. These benefits can be valued further when the rail transportation system is with zero emissions. Electric trains can be considered a zero-emission transportation method. However, a rail transportation system operates with net-zero emissions when electricity is generated from zero-emission-based sources. Photovoltaic systems have already been integrated into railway stations and spare land owned by railways to achieve net-zero emissions. Furthermore, medium-voltage DC network and microgrid concepts have been proposed to incorporate more renewable energy sources into railway electrification systems. However, the energy generated from those systems is not enough to realise net-zero emissions, as the power requirements of an urban railway electrification system are high. Accordingly, this article investigates the possibility of implementing a photovoltaic system along the railway tracks to meet the energy demands of an urban railway electrification system so that net-zero emissions can be achieved. Other significant advantages of the proposed photovoltaic system are lower feeder losses due to distributed photovoltaic systems integrated into the railway electrification system, lower conversion losses due to the direct integration of the photovoltaic system into the railway electrification system, and the nonrequirement of additional space to install the photovoltaic system. In this paper, a photovoltaic system capacity sizing algorithm is proposed and presented by considering a railway electrification system, the daily schedule of trains, and historical photovoltaic weather data. This proposed photovoltaic system capacity sizing algorithm was evaluated considering a section of the urban railway network of Sri Lanka and a three-year, 2017-2020, photovoltaic weather data. The results indicated that the potential for photovoltaic generation by installing photovoltaic systems along a railway track is much higher than the requirement, and it is possible to meet the required train scheduling options with proper sizing. Furthermore, in the three-year analysis, it is possible to achieve 90% of the energy required for the railway electrification system with effective train scheduling methods.

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Section: Photovoltaic Systemsmentioning

confidence: 99%

Section: Photovoltaic Systemsmentioning

confidence: 99%

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Sizing Algorithm for a Photovoltaic System along an Urban Railway Network towards Net Zero Emission

Binduhewa

2021

International Journal of Photoenergy

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“…The user can access the micro grid through the user interface and also control the system manually [10]. The Fig.…”

Section: B Communication Between Agentsmentioning

confidence: 99%

Defining multi agent system for a reliable micro-grid

Dinushi

Kariapper

Porawagamage

et al. 2015

2015 Moratuwa Engineering Research Conference (MERCon)

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Electrical power supply to serve critical facilities are of high importance in today's world. Instead of building a large electric power system, an intelligent Micro Grid (MG) can be considered as a promising power supply alternative for those critical facilities. This study presents the development and controlling of a laboratory scale MG which consists of several Distributed Energy Resources (DERs) such as Solar PV, Diesel Generator, Micro Hydro model, Battery Bank with a bidirectional inverter and critical and non-critical loads. Controlling of the MG is done by using distributed autonomous control strategies and Multi Agent System Architectures. It can operate in a grid connected mode as well as autonomous modewhen it is isolated. The whole system was simulated using MATLAB and the simulation results and practical results were compared when MG is operated in different scenarios. The effectiveness of this controlling method is discussed in this paper.

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“…In PV systems architectures, two kinds of power converters are required. A DC-DC converter is needed to control the bias point; also typically a DC-AC inverter and additional filtering are needed to reduce the high frequency electromagnetic emissions [1].…”

Section: Introductionmentioning

confidence: 99%

Step-size fuzzy control to maximum power point tracking algorithms for PV microgrid arrays

Ovalle

Chamorro

Ramos

2011

IX Latin American Robotics Symposium and IEEE Colombian Conference on Automatic Control, 2011 IEEE

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Photo Voltaic (PV) power generation presents a high potential solution to the emerging energy needs and the pollution levels crisis around the world. PV cells have associated currentvoltage nonlinear characteristics which vary according to irradiance levels, load impedance and temperature mainly. Maximum Power Point Tracking (MPPT) algorithms are relevant elements in economically viable PV systems. They seek to obtain all the available power from PV modules under every environmental condition. Perturb and Observe (P&O) and Incremental Conductance (IC) are well known MPPT algorithms that are commonly used. This paper proposes an improvement to these methods based on the adaptability under nonlinear conditions, and simplicity of Fuzzy Logic Control (FLC). The detailed design and the applicability in smart microgrids and distributed generation are presented. Comparison simulation results show a faster and adaptable behaviour of the fuzzy controlled algorithms developed.

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Standard microsource interface for a microgrid

Cited by 5 publications

References 2 publications

Sizing Algorithm for a Photovoltaic System along an Urban Railway Network towards Net Zero Emission

Sizing Algorithm for a Photovoltaic System along an Urban Railway Network towards Net Zero Emission

Defining multi agent system for a reliable micro-grid

Step-size fuzzy control to maximum power point tracking algorithms for PV microgrid arrays

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