The Experts below are selected from a list of 5349 Experts worldwide ranked by ideXlab platform
N.-k.c. Nair - One of the best experts on this subject based on the ideXlab platform.
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Assessment of wind farm models from a Transmission System Operator perspective using field measurements
IET Renewable Power Generation, 2011Co-Authors: S. Zhao, N.-k.c. NairAbstract:To understand the impact of increasing penetration of wind energy on power System, dynamic models of wind turbine generator are being incorporated into power System simulation software by Transmission System Operators. This enables them to carry out security assessment during planning and operations. Unlike synchronous machine-based generators, majority of wind generator models have not been universally standardised and validated. The performance of different wind turbine models (i.e. generic and manufacturer-specific models) under grid disturbance and their cumulative impact as seen by the Transmission will need to be completely understood to enable realistic System security assessment. Comparison of these models with actual field measurements is also an attractive option for opportunistic testing. This study will examine model development and its use from the Transmission System Operator perspective. The generic model will then be compared with detailed individual model for actual wind farm connection studies. The measurement data based on naturally occurring power System disturbance will be used for model validation.
S. Zhao - One of the best experts on this subject based on the ideXlab platform.
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Assessment of wind farm models from a Transmission System Operator perspective using field measurements
IET Renewable Power Generation, 2011Co-Authors: S. Zhao, N.-k.c. NairAbstract:To understand the impact of increasing penetration of wind energy on power System, dynamic models of wind turbine generator are being incorporated into power System simulation software by Transmission System Operators. This enables them to carry out security assessment during planning and operations. Unlike synchronous machine-based generators, majority of wind generator models have not been universally standardised and validated. The performance of different wind turbine models (i.e. generic and manufacturer-specific models) under grid disturbance and their cumulative impact as seen by the Transmission will need to be completely understood to enable realistic System security assessment. Comparison of these models with actual field measurements is also an attractive option for opportunistic testing. This study will examine model development and its use from the Transmission System Operator perspective. The generic model will then be compared with detailed individual model for actual wind farm connection studies. The measurement data based on naturally occurring power System disturbance will be used for model validation.
Elena Fumagalli - One of the best experts on this subject based on the ideXlab platform.
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network expansion by a proactive Transmission System Operator a case study
Energy Policy, 2014Co-Authors: Angelamaria Groppi, Elena FumagalliAbstract:Complex planning procedures often amplify the difference in investment time between generation and Transmission. In this work we consider a Transmission project in Italy and, relying on a recently proposed methodology, we compare costs and benefits of anticipating the planning process before the connection of new power plants becomes certain. Whereas the System faces lower congestion costs if the network is reinforced immediately, anticipation constitutes a sunk cost in case generation is not built. For realistic load and generation scenarios, anticipation costs, as well as differences in investment times, our results indicate that anticipation is the most efficient choice for a relatively low connection probability. Analyses of this sort are particularly relevant in light of the increasing complexity of public engagement processes and of the remarkable growth in renewable generation.
Mariusz Figurski - One of the best experts on this subject based on the ideXlab platform.
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simulating power generation from photovoltaics in the polish power System based on ground meteorological measurements first tests based on Transmission System Operator data
Energies, 2020Co-Authors: Jakub Jurasz, Marcin Wdowikowski, Mariusz FigurskiAbstract:The Polish power System is undergoing a slow process of transformation from coal to one that is renewables dominated. Although coal will remain a fundamental fuel in the coming years, the recent upsurge in installed capacity of photovoltaic (PV) Systems should draw significant attention. Owning to the fact that the Polish Transmission System Operator recently published the PV hourly generation time series in this article, we aim to explore how well those can be modeled based on the meteorological measurements provided by the Institute of Meteorology and Water Management. The hourly time series of PV generation on a country level and irradiation, wind speed, and temperature measurements from 23 meteorological stations covering one month are used as inputs to create an artificial neural network. The analysis indicates that available measurements combined with artificial neural networks can simulate PV generation on a national level with a mean percentage error of 3.2%.
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Simulating Power Generation from Photovoltaics in the Polish Power System Based on Ground Meteorological Measurements—First Tests Based on Transmission System Operator Data
Energies, 2020Co-Authors: Jakub Jurasz, Marcin Wdowikowski, Mariusz FigurskiAbstract:The Polish power System is undergoing a slow process of transformation from coal to one that is renewables dominated. Although coal will remain a fundamental fuel in the coming years, the recent upsurge in installed capacity of photovoltaic (PV) Systems should draw significant attention. Owning to the fact that the Polish Transmission System Operator recently published the PV hourly generation time series in this article, we aim to explore how well those can be modeled based on the meteorological measurements provided by the Institute of Meteorology and Water Management. The hourly time series of PV generation on a country level and irradiation, wind speed, and temperature measurements from 23 meteorological stations covering one month are used as inputs to create an artificial neural network. The analysis indicates that available measurements combined with artificial neural networks can simulate PV generation on a national level with a mean percentage error of 3.2%.
Luis Baringo - One of the best experts on this subject based on the ideXlab platform.
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A Stochastic Adaptive Robust Optimization Approach for the Generation and Transmission Expansion Planning
IEEE Transactions on Power Systems, 2018Co-Authors: Luis Baringo, Ana BaringoAbstract:This paper proposes a stochastic adaptive robust optimization approach for the generation and Transmission expansion planning problem. The problem is formulated under the perspective of a central planner, e.g., the Transmission System Operator, that aims at determining the generation and Transmission expansion plans that minimize both the expansion and operation costs. This central planner builds the Transmission facilities and promotes the building of the most suitable generating units among private profit-oriented investors. Uncertainties in the future peak demand and the future generation (fuel) cost are modeled using confidence bounds, while uncertainties in the demand variability and the production of stochastic units are modeled using a number of operating conditions. Results of an illustrative example and a case study based on the IEEE 118-bus test System show the effectiveness of the proposed approach.
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Transmission and wind power investment
IEEE Transactions on Power Systems, 2012Co-Authors: Luis Baringo, Antonio J ConejoAbstract:This paper jointly considers wind power investment and Transmission reinforcement. The proposed model is a mathematical program with equilibrium constraints (MPEC) that seeks to identify the optimal wind projects to be developed and the required network reinforcements. Under the Transmission/System Operator perspective, this MPEC seeks to minimize consumer payments and is constrained by investment conditions and the equilibria of the market under different operating conditions. An array of subsidies is considered to promote independent wind power investment. An example and two case studies illustrate the characteristics of the proposed model.
