7 research outputs found
Renewable energy conversion systems
No full textFront Cover -- Renewable Energy Conversion Systems -- Copyright Page -- Dedication -- Contents -- 1 Fundamentals of renewable energy systems -- 1.1 Introduction -- 1.1.1 Why renewables -- 1.1.2 Types of energy -- 1.1.3 Conventional and renewable energy -- 1.1.4 SWOT analysis of the renewable energy -- 1.1.4.1 Strength -- 1.1.4.2 Weakness -- 1.1.4.3 Opportunities -- 1.1.4.4 Threats -- 1.1.5 Global warming and climate change -- 1.1.6 World energy transformation by 2050 -- 1.1.7 Prospects of renewable energy in the world -- 1.1.7.1 Solar energy -- 1.1.7.2 Wind energy -- 1.1.7.3 Hydropower -- 1.1.7.4 Bioenergy -- 1.1.7.5 Geothermal -- 1.1.8 The structure of the book -- References -- 2 Thermodynamics for renewable energy systems -- 2.1 Introduction -- 2.2 Thermodynamic system -- 2.2.1 Open system -- 2.2.2 Closed system -- 2.2.3 Isolated system -- 2.3 Heat capacity -- 2.3.1 Heat capacity at constant volume (CV) -- 2.3.2 Heat capacity at constant pressure (CP) -- 2.3.3 Mayer's equation -- 2.4 Phase change and latent heat -- 2.4.1 Latent heat of fusion -- 2.4.2 Latent heat of evaporation -- 2.5 Zeroth law of thermodynamics -- 2.6 The first law of thermodynamics -- 2.6.1 Isothermal process -- 2.6.2 Isobaric process -- 2.6.3 Isochoric process -- 2.6.4 Adiabatic process -- 2.7 The second law of thermodynamics -- 2.7.1 Kelvin-Planck statement -- 2.7.2 Clausius statement -- 2.8 Third law of thermodynamics -- 2.9 Thermodynamic cycles -- 2.9.1 Solar thermal Brayton cycle (GAS) -- 2.9.2 Solar thermal organic Rankine cycle (STEAM) -- 2.9.3 Solar combined power cycle -- Problems -- References -- 3 Power electronics for renewable energy systems -- 3.1 Introduction -- 3.2 Solid-state devices -- 3.2.1 Silicon controlled rectifier (Thyristor) -- 3.2.2 Gate turn-off thyristor -- 3.2.3 Silicon controlled switch -- 3.2.4 DIAC -- 3.2.5 TRIAC
Cascading Failures Assessment in Renewable Integrated Power Grids Under Multiple Faults Contingencies
No full textCascading overload failures occurred in power systems due to higher penetration of renewable energy resources (RERs), which causes uncertainty in a grid. To overcome these cascading overload failures, proper assessment in the form of load flow balancing and transients stability is required in renewable integrated power grids (RIPGs). This problem becomes more critical in the occurrence of multiple intervals faults in multiple interconnected RIPGs, which causes the tripping of several RERs. Due to which outages occurred in various transmission lines, which lead the power system to cascading overload failures. To tackle this problem, hybrid probabilistic modeling is proposed in this paper for balancing load flow and an assessment of transients stability in multiple interconnected RIPGs. For balancing of load flow, a smart node transmission network topology is utilized along with integrating a unified power flow controller (UPFC), while transients instabilities are assessed through a UPFC alone. Contrary to the previously proposed algorithms, which are only suitable to compensate network instabilities in case of only a single interval fault, this work is supported by probabilistic modeling to compensate network instabilities under the occurrence of not only a single interval fault but also in case of more severe multiple intervals faults in multiple interconnected RIPGs that will lead the network to cascading failure outages. Simulation results verify that our proposed probabilistic algorithm achieved near an optimal performance by outperforming the existing proposed methodologies, which are only confined to mitigate the effect of network instabilities only in case of single interval fault and fails to address these network instabilities under the occurrence of severe multiple interval faults, which leads the network to cascading failure outages. These simulation results are also validated through an industrial case study performed on a western Denmark transmission network to show the superiority of our proposed algorithm
Implementation of a Priority-based Energy Management Scheme with a common control strategy for PV and battery integrated Shunt Active Filters
No full textThis research presents a Priority-based Energy Management Scheme (PEMS) for a Photovoltaic (PV) and battery-integrated Shunt Active Filter (SAF). It is designed for the energy flow optimization between PV energy, battery, grid and load while ensuring high-power quality on the grid side. The proposed approach effectively mitigates harmonics, which can otherwise adversely deteriorate the power quality and compromise grid stability, hence potentially impacting the distribution equipment, including connected loads. Moreover, a lightweight L-series inductor filter is used for SAF current injection, hence enhancing cost-effectiveness. The novel PEMS strategy, driven by a common control strategy, not only ensures optimal power flow management but also maximizes high SAF performance with maximum PV penetration under dynamic operating conditions. It facilitates quick restoration of the DC bus for enhanced system stability, harmonics mitigation across varying load and PV conditions, maximum PV power generation, and smooth battery operation. The power flow among the grid, PV panels, battery, and load is dynamically controlled and maintained based on the battery’s State of Charge (SoC), available PV power, constraints of the battery, and load requirements. Additionally, the proposed PEMS framework warrants reliable SAF operation while restricting high THD values under various loading conditions well below the IEEE-defined standard of 5 %, achieving a significant reduction from 17.80 % to 0.68 %. Finally, to validate the effectiveness of the proposed strategy, MATLAB-based simulations are conducted, followed by experimental validation in an Industrial lab setup. Therefore allowing and ensuring comprehensive efficiency, reliability, and overall performance
Design, Control and Loss Analysis of PV-based Shunt Active Filter for Improved power Quality with maximum PV power injection
No full textInternational audienceThis research proposes the Photovoltaic (PV) based shunt active filter (SAF) connected to the storage device. This scheme generates and injects the maximum PV power into the system and ensures that the grid current is healthy by offering a high filtration quality on the grid side. It provides higher reliability, high efficiency, and increased stability. The control strategy devised for this structure works equally well for the lower and higher PV energy penetration, light and heavy loading conditions, and importing/exporting power to/from the grid. The performance of the overall scheme is analyzed by employing commercial power electronics components, MOSFETs, in the simulation using PLECS and MATLAB Simulink
