Abstract In this study, a commercially available unit commitment and economic dispatch (UC-ED) tool is extended for the simulation of wind power integration in an international environment. An existing generation unit database for the Netherlands is extended to include conventional generation portfolios of neighbouring areas to the Netherlands. Furthermore, wind power in Germany is modelled such that the spatial correlation between wind speeds at different locations in the Netherlands and Germany is maintained. These additions allow the assessment of the benefits of international exchange for wind power integration and a comparison with other integration solutions. The UC-ED tool is applied for annual simulations of a power system with generation portfolios foreseen for the year 2014. Four variants for international exchange possibilities are investigated for different wind power penetrations. The opportunities of the following integration solutions are assessed: use of conventional generation in isolated systems, use of international markets, flexible combined heat and power (CHP), pumped hydro energy storage, compressed air energy storage and interconnection to a hydro-based system. The solutions are placed in an order of potential with respect to technical, economical and environmental aspects. The results show that the advantages of international exchange for wind power integration are large and provide an alternative for the development of energy storage facilities.@en

Abstract In this paper, we investigate the possibility of integrating 12 GW of onshore and offshore wind energy in the power system of the Netherlands. Interconnection capacities to the rest of the synchronous UCTE system and HVDC connections to Great Britain and Norway are modelled as flow gates, while sufficient transmission capacity for integrating wind is assumed to be present within the Dutch system itself. For this case study, we use realistic time series of aggregated 15-minute wind power production and forecast, based on one year of wind speed measurements and forecasts at various locations in the Netherlands and its coastal waters, and multi-turbine wind farm models. The technical capabilities of the foreseen conventional generation portfolios of the Netherlands and its neighbouring countries are modelled in detail, in terms of ramping abilities, fuel efficiency, and minimum up and down times. Particular attention is also paid to wind energy developments in Germany, since high correlations exist between the wind power outputs of the two countries. A preliminary evaluation in terms of margin at peak load, minimum load problems, and ability of conventional units to follow the load less wind variations is made, based on the net load duration curves of Netherlands and Germany in 2020. It is shown that smaller amounts of wasted wind (i.e. wind energy that cannot be taken by the system) due to minimum load problems occur when exchanges of excess wind energy can be scheduled between the two countries close to the operation time. This shows the importance of having larger geographic areas and well-organized cross-border trading to facilitate larger amounts of integrated wind energy. However, wasted wind cannot be completely avoided due to correlations in low load - high wind situations between the two countries. These results are confirmed through detailed chronological simulations of one year of operation, using a unit commitment and economic dispatch tool specifically ada- pted to perform wind integration studies. The potential for demand-side management to allow for a better integration of wind power is briefly explored.@en

Abstract A production cost simulation model for the NorthWestern part of the UCTE system is developed in this paper. Information from various sources was gathered and combined to produce an integrated representative model of the areas under study. Specifically, the technical and economical limits of wind power integration within the power system are highlighted, by means of observing and analyzing various unit commitment schedules under different scenarios. The main question refers to which level of wind penetration the power system can operate in a safe and reliable fashion, while the incoming wind power is completely integrated and correlations between system variables in adjacent areas are taken into account. By answering this question, the system planner will have the flexibility to arrange in the future the power system operation accordingly so as to decrease the operation costs to a minimum and increase the efficiency of the total system to maximum. An investigation of this problem statement can only be executed with global models, which take into account both technical and economic constraints and further optimize the operation of the power system.@en

Keywords wind power ¿ market ¿ power system balancing ¿ program responsible parties Abstract Wind power is becoming a large-scale electricity generation technology in a number of European countries, including the Netherlands. Owing to the variability and unpredictability of wind power production, large-scale wind power can be foreseen to have large consequences for balancing generation and demand in power systems. As an essential aspect of the Dutch market design, participants are encouraged to act according to their energy programs, as submitted day-ahead to the system operator. This program responsibility shifts the burden of balancing wind power away from the system operator to the market. However, the system operator remains the responsible party for balancing any generation/load imbalances that may still be arising in real time. In this article, features that are unique for the Dutch market design are presented and their implications on the system integration of wind power are investigated. It is shown that the Dutch market design penalizes the intermittent nature of wind power. A discussion of opportunities and threats of balancing wind power by use of market forces is provided. Last, an outline is given of future work. Copyright © 2006 John Wiley &Sons, Ltd. -------------------------------------------------------------------------------- Received: 19 July 2005; Revised: 5 October 2005; Accepted: 23 January 2006@en