The Experts below are selected from a list of 16221 Experts worldwide ranked by ideXlab platform
Roger Alexander Falconer - One of the best experts on this subject based on the ideXlab platform.
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hydro environmental modeling of the proposed severn barrage
Proceedings of the Institution of Civil Engineers - Energy, 2010Co-Authors: Reza Ahmadian, Roger Alexander FalconerAbstract:This paper presents details of a numerical modelling study of the Cardiff–Weston barrage proposal for Britain’s River Severn, previously studied by the Severn Tidal Power Group. The study focuses mainly on investigating the potential far-field and near-field hydro-environmental impacts of the barrage by using an integrated one- and two-dimensional numerical hydro-environmental model. The model was set up for a large domain, starting from the outer Bristol Channel close to Lundy Island to the River Severn Tidal limit near Gloucester. Potential changes in water elevations, Tidal currents and consequently flood risk, sediment concentrations and background bacterial levels were assessed by comparing the model predictions for both the existing conditions and those with the barrage included. The results of the study show that the barrage has the potential to reduce maximum water elevations and Tidal currents in this highly dynamic estuary. As a result of changes in Tidal currents, a corresponding reduction in s...
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impact of different operating modes for a severn barrage on the Tidal Power and flood inundation in the severn estuary uk
Applied Energy, 2010Co-Authors: Roger Alexander FalconerAbstract:The Severn Estuary has a spring Tidal range approaching 14Â m and is regarded as having one of the highest Tidal ranges in the world. Various proposals have been made regarding the construction of a Tidal barrage across the estuary to enable Tidal energy to be extracted. The barrage scheme originally proposed by the Severn Tidal Power Group (STPG) would be the largest project for Tidal Power generation in the world if built as proposed. Therefore, it is important to study the impact of different operating modes for this barrage on the Tidal Power output and flood inundation extent in the estuary. In this paper, an existing two-dimensional hydrodynamic model based on an unstructured triangular mesh has been integrated with a new algorithm developed for the estimation of Tidal Power output, which can account for three barrage operating modes, including ebb generation, flood generation, and two-way generation. The refined model was then used to investigate the impact of different barrage operating modes on the Tidal Power output and the associated extent of flood inundation along the Severn Estuary. Predicted results indicate that the mode of flood generation would produce the least electrical energy and cause a larger reduction in the maximum water levels upstream of the barrage. Two-way generation would provide an improvement to these conditions, and produce an equivalent amount of electricity to that from ebb generation, with a low installed capacity and a small loss of interTidal zones. Therefore, the mode of ebb generation or two-way generation would appear to be a preferred option for Power generation, because both would offer benefits of acceptable electrical energy and reduced flood risk.
Joao P S Catalao - One of the best experts on this subject based on the ideXlab platform.
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contribution of Tidal Power generation system for damping inter area oscillation
Energy Conversion and Management, 2017Co-Authors: S Mehri, Miadreza Shafiekhah, Pierluigi Siano, M Moallem, M Mokhtari, Joao P S CatalaoAbstract:Abstract The growing need for the clean and renewable energy has led to the fast development of grid-connected Tidal stream Power generation systems all over the world. These large scale Tidal stream Power generation systems are going to be connected to Power systems and one of the important subjects that should be investigated is its impacts on Power system stability. Hence, this paper investigates the possibility of Tidal stream Power generation system on damping inter-area oscillations, as a new contribution to earlier studies. As Tidal farms are mostly installed far from conventional Power plants, local signals do not include good quality to alleviate inter-area oscillations. To overcome the problem, a novel damping controller is developed by employing wide-area measurement system and added to base controllers of doubly-fed induction generator through Tidal stream Power generation system. The proposed wide-area damping controller includes efficient means to compensate for the incompatible performances of wide area measurement based delayed signals. Robustness of the designed damping controller has been demonstrated by facing the study system with faults leading to enough shifts in Power system operating point, and Tidal farm generation.
R Billinton - One of the best experts on this subject based on the ideXlab platform.
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reliability evaluation of a Tidal Power generation system considering Tidal current speeds
IEEE Transactions on Power Systems, 2016Co-Authors: Mingjun Liu, Caisheng Wang, R BillintonAbstract:This paper presents a reliability evaluation method for a Tidal Power generation system (TPGS) with a doubly-fed induction generator (DFIG). The key to the method is the modeling of the Tidal current speed-dependent failure rates of the rotor side converter (RSC) and grid side converter (GSC). The models for calculating the rotor currents through the RSC and GSC and the rotor current state related failure rates are presented. Based on the Wakeby distribution of Tidal current speed, a multistate discrete probability distribution technique for rotor current is developed. Case studies are described using Tidal current speed data from four coastal sites in North America. The results indicate that the failure rates of the RSC, GSC, and the entire TPGS vary with Tidal current speeds and the probability distributions of Tidal current speed. The TPGS suffers a much higher failure risk in the super-synchronous mode than in the idle and subsynchronous modes. The failure rate of the RSC is much higher than that of the GSC. The change trends in the failure rates of RSC and GSC in the operation modes are different. The probability distributions of Tidal current speed have significant impacts on the reliability of the TPGS.
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modeling Tidal current speed using a wakeby distribution
Electric Power Systems Research, 2015Co-Authors: Mingjun Liu, R Billinton, Caisheng WangAbstract:Abstract Considerable interest in Tidal Power is being driven by the global push for renewable energy. The first step in modeling Tidal energy sources in Power systems analysis is to determine an appropriate probability distribution for Tidal current. This paper proposes a Wakeby distribution to model the probabilistic characteristics of Tidal current speed. The Wakeby distribution and nine other popular distributions are investigated using four years of Tidal current speed data at ten different sites. Comparisons are conducted using the Kolmogorov–Smirnov test (K–S test) and the root-mean-square error (RMSE) index for both posteriori and priori tests. The results verified that the Wakeby distribution not only has the best statistical performance but also is the only one of the ten selected distributions that passed the K–S test.
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probabilistic modeling of Tidal Power generation
Power and Energy Society General Meeting, 2015Co-Authors: Mingjun Liu, R Billinton, Caisheng WangAbstract:A probability distribution model of Tidal generation Power is needed to perform reliability assessment and other probabilistic analyses of a Power system with Tidal sources. This paper proposes a Wakeby distribution to model the probabilistic characteristic of Tidal current speed. Wakeby and other four popular distributions are investigated using four years of Tidal current data at five sites. The statistical tests and comparison analyses indicate that the Wakeby distribution has the best goodness-of-fit performance for all the Tidal current speed data collected. Although seawater temperature is also a random variable, its impact on Tidal Power is found to be minimal. The results also indicate that a deterministic average Tidal current speed model can lead to significant errors in the calculation of Tidal Power compared to the proposed probabilistic model.
Yi Dai - One of the best experts on this subject based on the ideXlab platform.
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Optimal Sizing and Arrangement of Tidal Current Farm
IEEE Transactions on Sustainable Energy, 2018Co-Authors: Yi Dai, Zhouyang Ren, Ke Wang, Wenyuan Li, Zhenwen Li, Wei YanAbstract:This paper proposes a bi-level programming-based optimization method to determine the sizing of Tidal current farm (TCF) and the arrangement of Tidal current turbines reaching the minimized comprehensive generation cost of Tidal Power. Not only the characteristics of Tidal current velocity and wake effects but also the economic costs and environmental benefits brought by TCF integration are all incorporated in the proposed method. The method includes a Power output model of TCF that can capture the characteristics of Tidal current velocity and turbine wake effects, and a bi-level optimization model that takes into account the penalty costs of greenhouse gas emissions, the operation costs of Power system, and the investment cost of Tidal current turbines. The bi-level model is solved using a genetic algorithm and a quadratic programming technique. The effectiveness and adaptability of the proposed method are demonstrated using the measured data of Tidal current velocity and the IEEE 30-bus test system.
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probabilistic Power flow analysis of Power systems incorporating Tidal current generation
IEEE Transactions on Sustainable Energy, 2017Co-Authors: Zhouyang Ren, Ke Wang, Liming Jin, Yi DaiAbstract:A probabilistic Power-flow analysis method for Power systems with Tidal Power sources is presented in this paper. The regularity of Tidal Power is modeled using a k -means clustering technique and the randomness of Tidal Power is modeled by using a nonparametric kernel density estimation method. A stochastic sampling method is also developed to generate random samples of Tidal Power time series for Monte Carlo based probabilistic Power-flow analysis. The influence of Tidal current generation on Power flows is then evaluated and quantified considering both the regularity and randomness of Tidal Power. The measured Tidal current speed data of two different locations in Florida and Alaska states, USA, and the IEEE 57-bus standard test system are used to verify the correctness and effectiveness of the presented probabilistic Power-flow analysis method.
Mingjun Liu - One of the best experts on this subject based on the ideXlab platform.
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reliability evaluation of a Tidal Power generation system considering Tidal current speeds
IEEE Transactions on Power Systems, 2016Co-Authors: Mingjun Liu, Caisheng Wang, R BillintonAbstract:This paper presents a reliability evaluation method for a Tidal Power generation system (TPGS) with a doubly-fed induction generator (DFIG). The key to the method is the modeling of the Tidal current speed-dependent failure rates of the rotor side converter (RSC) and grid side converter (GSC). The models for calculating the rotor currents through the RSC and GSC and the rotor current state related failure rates are presented. Based on the Wakeby distribution of Tidal current speed, a multistate discrete probability distribution technique for rotor current is developed. Case studies are described using Tidal current speed data from four coastal sites in North America. The results indicate that the failure rates of the RSC, GSC, and the entire TPGS vary with Tidal current speeds and the probability distributions of Tidal current speed. The TPGS suffers a much higher failure risk in the super-synchronous mode than in the idle and subsynchronous modes. The failure rate of the RSC is much higher than that of the GSC. The change trends in the failure rates of RSC and GSC in the operation modes are different. The probability distributions of Tidal current speed have significant impacts on the reliability of the TPGS.
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modeling Tidal current speed using a wakeby distribution
Electric Power Systems Research, 2015Co-Authors: Mingjun Liu, R Billinton, Caisheng WangAbstract:Abstract Considerable interest in Tidal Power is being driven by the global push for renewable energy. The first step in modeling Tidal energy sources in Power systems analysis is to determine an appropriate probability distribution for Tidal current. This paper proposes a Wakeby distribution to model the probabilistic characteristics of Tidal current speed. The Wakeby distribution and nine other popular distributions are investigated using four years of Tidal current speed data at ten different sites. Comparisons are conducted using the Kolmogorov–Smirnov test (K–S test) and the root-mean-square error (RMSE) index for both posteriori and priori tests. The results verified that the Wakeby distribution not only has the best statistical performance but also is the only one of the ten selected distributions that passed the K–S test.
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probabilistic modeling of Tidal Power generation
Power and Energy Society General Meeting, 2015Co-Authors: Mingjun Liu, R Billinton, Caisheng WangAbstract:A probability distribution model of Tidal generation Power is needed to perform reliability assessment and other probabilistic analyses of a Power system with Tidal sources. This paper proposes a Wakeby distribution to model the probabilistic characteristic of Tidal current speed. Wakeby and other four popular distributions are investigated using four years of Tidal current data at five sites. The statistical tests and comparison analyses indicate that the Wakeby distribution has the best goodness-of-fit performance for all the Tidal current speed data collected. Although seawater temperature is also a random variable, its impact on Tidal Power is found to be minimal. The results also indicate that a deterministic average Tidal current speed model can lead to significant errors in the calculation of Tidal Power compared to the proposed probabilistic model.
