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Under electricity market operation, the competitiveness of wind power generation may be reduced because of the stochastic nature of the wind resource, which often results in increased regulation costs. The negative impact associated to the stochastic nature of the wind resource may be reduced by coupling the wind farm with energy storage facilities, thus constituting a virtual power plant. In this...
This paper addresses the problem of predicting a wind farm's power generation when no or few statistical data is available. The study is based on a time-series wind speed model and on a simple dynamic model of a DFIG wind turbine including cut-off and cut-in behaviours. The wind turbine is modeled as a stochastic hybrid system with three operation modes. Numerical results, obtained using Monte-Carlo...
The main development trend of wind power generation system is large offshore wind farms with grid connection. Due to extraordinarily high investment, many technical issues yet to be solved and limited experience, the risk of building offshore wind power generation system is always very high. The study presented in this paper takes a view of the effect of offshore wind farm topology on its reliability...
The following topics are dealt with: uncertainty forecasting; wind generation; decision making; generation planning; load forecasting; power generation scheduling; ageing model; power system reliability; distributed generation; failure probability; transformer reliability; electricity markets; power equipment optimal allocation; power system protection; power system planning; and HVDC.
More and more wind power is being integrated into power grids in recent years. However, due to its intermittent characteristic, it is usually difficult to determine the appropriate penetration level to ensure a specified reliability requirement. For this purpose, the proper calculation of wind power capacity credit is of particular importance which is useful in both operations and planning stages...
In this study hourly wind speed time series data of Eskisehir region, Turkey have been used for stochastic generation of wind speed data using the transition matrix approach of the Markov chain process. Previous work on synthetic data generation did not focus on the effects of different choices of wind states. In this work, it was observed that increasing the number of states has a significant benefit...
Better modelling and forecasting of very short-term power fluctuations at large offshore wind farms may significantly enhance control and management strategies of their power output. The paper introduces a new methodology for modelling and forecasting such very short-term fluctuations. The proposed methodology is based on a Markov-switching autoregressive model with time-varying coefficients. An advantage...
Renewable energy grid connection is hampered by transmission capacity limitations and public opposition to new transmission development. This paper presents a methodology to find the optimal positions on an existing transmission system network to connect 'firm' wind capacity to reach desired renewable energy penetration targets in a secure, least-cost manner. The methodology accounts for geographical...
Considerable research has been devoted on the development of decision-making models suitable for tackling decision problems integrating some amount of uncertainty. However, such approaches are either problem-specific, either too general to suit certain problems. In this paper we propose an approach for performing decision-making under uncertainty suitable for problems in which decisions must be made...
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