scholarly journals Neural Network-Based Control for Hybrid PV and Ternary Pumped-Storage Hydro Plants

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4397
Author(s):  
Soumyadeep Nag ◽  
Kwang Y. Lee
Keyword(s):  
Neural Network ◽  
Hybrid Plant ◽  
Solar Photovoltaic ◽  
Energy Integration ◽  
Pv System ◽  
The Past ◽  
Speed Of Response ◽  
Pumped Storage ◽  
Operational Constraints ◽  
Base Load

The growth in renewable energy integration over the past few years, primarily fueled by the drop in capital cost, has revealed the requirement for more sustainable methods of integration. This paper presents a collocated hybrid plant consisting of solar photovoltaic (PV) and Ternary pumped-storage hydro (TPSH) and designs controls that integrate the PV plant such that the behavior and the controllability of the hybrid plant are similar to those of a conventional plant within operational constraints. The PV array control and hybrid plant control implement a neural–network-based framework to coordinate the response, de-loading, and curtailment of multiple arrays with the response of the TPSH. With the help of the designed controls, a symbiotic relationship is developed between the two energy resources, where the PV compensates for the TPSH nonlinearities and provides required speed of response, while the TPSH firms the PV system and allows the PV to be integrated using its existing infrastructure. Simulations demonstrate that the designed controls enable the PV system to track references, while the TPSH’s firming and shifting transforms the PV system into a base load plant for most of the day and extends its hours of operation.

scholarly journals The Comprehensive Study of Electrical Faults in PV Arrays

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
M. Sabbaghpur Arani ◽  
M. A. Hejazi
Keyword(s):  
Open Circuit ◽  
Fault Analysis ◽  
Solar Photovoltaic ◽  
Pv System ◽  
Pv Systems ◽  
The Past ◽  
Bridging Fault ◽  
Electrical Faults ◽  
Output Characteristics ◽  
Comprehensive Study

The rapid growth of the solar industry over the past several years has expanded the significance of photovoltaic (PV) systems. Fault analysis in solar photovoltaic (PV) arrays is a fundamental task to increase reliability, efficiency, and safety in PV systems and, if not detected, may not only reduce power generation and accelerated system aging but also threaten the availability of the whole system. Due to the current-limiting nature and nonlinear output characteristics of PV arrays, faults in PV arrays may not be detected. In this paper, all possible faults that happen in the PV system have been classified and six common faults (shading condition, open-circuit fault, degradation fault, line-to-line fault, bypass diode fault, and bridging fault) have been implemented in 7.5 KW PV farm. Based on the simulation results, both normal operational curves and fault curves have been compared.

Power Generation Forecasting of Solar Photovoltaic System Using Radial Basis Function Neural Network

2013 ◽  
Vol 368-370 ◽  
pp. 1262-1265 ◽  
Author(s):  
Wen Yeau Chang
Keyword(s):  
Neural Network ◽  
Power Generation ◽  
Radial Basis Function ◽  
Basis Function ◽  
Rbf Neural Network ◽  
Photovoltaic System ◽  
Solar Photovoltaic ◽  
Pv System ◽  
Forecasting Method ◽  
Radial Basis

An accurate forecasting method for power generation of the solar photovoltaic (PV) system can help the power systems operator to reduce the risk of unreliability of electricity supply. This paper proposed a radial basis function (RBF) neural network method to forecast the power generation of PV system. To demonstrate the effectiveness of the proposed method, the method is tested on the practical information of power generation of a PV system. The good agreements between the realistic values and forecasting values are obtained; the numerical results show that the proposed forecasting method is accurate and reliable.

scholarly journals A new meta-heuristic pathfinder algorithm for solving optimal allocation of solar photovoltaic system in multi-lateral distribution system for improving resilience

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Varaprasad Janamala
Keyword(s):  
Distribution System ◽  
Distribution Systems ◽  
Voltage Stability ◽  
Optimal Allocation ◽  
Photovoltaic System ◽  
Solar Photovoltaic ◽  
Voltage Profile ◽  
Pv System ◽  
Solar Photovoltaic System ◽  
The Impact

AbstractA new meta-heuristic Pathfinder Algorithm (PFA) is adopted in this paper for optimal allocation and simultaneous integration of a solar photovoltaic system among multi-laterals, called interline-photovoltaic (I-PV) system. At first, the performance of PFA is evaluated by solving the optimal allocation of distribution generation problem in IEEE 33- and 69-bus systems for loss minimization. The obtained results show that the performance of proposed PFA is superior to PSO, TLBO, CSA, and GOA and other approaches cited in literature. The comparison of different performance measures of 50 independent trail runs predominantly shows the effectiveness of PFA and its efficiency for global optima. Subsequently, PFA is implemented for determining the optimal I-PV configuration considering the resilience without compromising the various operational and radiality constraints. Different case studies are simulated and the impact of the I-PV system is analyzed in terms of voltage profile and voltage stability. The proposed optimal I-PV configuration resulted in loss reduction of 77.87% and 98.33% in IEEE 33- and 69-bus systems, respectively. Further, the reduced average voltage deviation index and increased voltage stability index result in an improved voltage profile and enhanced voltage stability margin in radial distribution systems and its suitability for practical applications.

An Overview of Osmotic Power: A Viable Power Generation Technology for Present and Future

2013 ◽  
Vol 684 ◽  
pp. 680-685 ◽  
Author(s):  
Md. Shahinur Islam ◽  
Tausif Ali ◽  
Ahsan Uddin Ahmed ◽  
Syed Ashraful Karim ◽  
Hossain Mursalin
Keyword(s):  
Power Generation ◽  
Green Energy ◽  
Renewable Energy Resources ◽  
The Past ◽  
Load Power ◽  
Potential Benefits ◽  
Power Generation Technology ◽  
Power Generation System ◽  
Base Load ◽  
Generation Technology

World climate change challenges and the world’s consistent growing demand for energy during the past decade have brought the need to explore for more renewable energy resources. The continuation of exploring green energy sources results Osmotic Power- a new emission-free source of sustainable energy that can be used to generate electricity. Osmotic power plant is only feasible in places where rivers flow out to the ocean. The leading virtue of osmotic power is that it would be capable to produce a steady and reliable supply of renewable base load power as an alternative of other variable sources like solar or wind. There are some hurdles to generate osmotic power. Developing suitable membrane and initial construction cost are top on of them. Though Osmotic power is years from commercial feasibility but researchers think that it could provide thousands of terawatts of base load power per year around the globe. This paper presents an overview of osmotic power generation system with the analysis of potential benefits and limitations of it.

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