Search

In this paper, an optimization methodology, which uses a heuristic algorithm, is developed in order to maximize the active power generation of wind power plants in distribution networks during maintenance situations. Traditionally, distribution system operators are not taking risks during the maintenance operation by shutting down wind power plants while the reconfiguration is performed. However, the developed methodology presented that the active power outputs of wind power plants' can be curtailed instead of shutdown operation while keeping the distribution network in design and stability limits. Further studies and developments are performed in Danish funded NetVind project to improve the operation of a real distribution network with a high penetration of wind power by exploiting control capabilities of wind power plants. [ABSTRACT FROM AUTHOR]

This paper describes an optimization study of wind power plants' inertial response for different wind speed and penetration levels in power systems. The paper is presenting an optimization method employing a genetic algorithm with an objective function, where the frequency nadir, the second-dip value and the time to reach the frequency steady state are taken into account. As the genetic algorithm is a minimization algorithm, distinct weighting factors of each component enables the adjustment of the optimization according to different specific requirements defined by transmission system operators. The results presented that for the above rated wind speed and medium wind speed operating regions, wind power plants can provide support to the frequency control and improve the performance regarding the frequency nadir and time to reach the steady state. However, the operation region which is closed to the rated wind speed can create a second frequency dip after the nadir. [ABSTRACT FROM AUTHOR]

This paper focusses on voltage control support and coordination between renewable generation plants in medium voltage distribution systems. An exemplary benchmark grid in Denmark, including a number of flexible ReGen plants providing voltage control functionality, is used as a base case. First, voltage sensitivity analysis is performed to quantify node voltage variations due to injections of reactive power for given operational points of the network. The results are then used to develop an adaptive voltage droop control method, where various droop settings are allocated to each ReGen plant according to the sensitivity indices of corresponding node voltages and the location of respective ReGen plants in the distribution system. Case studies are performed in time-domain to analyze the impact of voltage fluctuations due to active power variations of ReGen plants in order to verify the performance of the obtained voltage droop settings. The main outcome of this study is the provision of a generic guidance on how to coordinate the voltage stability support capabilities of ReGen plants in a distribution system with large ReGen penetration in order to ensure a resilient voltage controlled distribution system. [ABSTRACT FROM AUTHOR]

The recent plans for the deployment of renewable energy in Denmark require new integrated regulation strategies, making renewable energy to be a key technology in the development of future power systems towards fossil and nuclear free energy generation. Accordingly, the bulk addition of large scale renewable generations to a power system should not be detrimental to the overall stability of the power system. In order to analyze the impact of the renewable generation on power systems, and also to explore the capability of these renewable generation plants, several projects have been conducted recently in Denmark. This paper describes a new ongoing Danish research project RePlan, which has as main objective to investigate the provision of ancillary services, like frequency/active power, voltage/reactive power support from wind power plants (WPP) and photovoltaic (PV) plants, incorporating communication properties in the control loops and using existing forecast techniques. It is intended to analyze the possibility to exploit and coordinate the ancillary services from these plants, identifying and analyzing their capabilities and limitations in respect to their coordination. [ABSTRACT FROM AUTHOR]

Secure power system operation of a highly wind power integrated power system is always at risk during critical weather conditions, e.g. in extreme high winds. The risk is even higher when 50% of the total electricity consumption has to be supplied by wind power, as the case for the future Danish power system in 2020. This paper analyses and compares the performance of the future Danish power system during extreme wind speeds, where wind power plants are either controlled through a traditional High Wind Shut Down storm controller or a new High Wind Ride Through storm controller. For this purpose, the power system model has been developed that represents the relevant dynamic features of power plants and compensates for power imbalances caused by the forecasting error during critical weather conditions. The regulating power plan, as an input time series for the developed power system model, is provided by the hour-ahead power balancing model, i.e. Simulation power Balancing model (SimBa. The regulating power plan is prepared from day-ahead power production plan and hourahead wind power forecast. The wind power (forecasts and available) are provided by the Correlated Wind power fluctuations (CorWind) model, where the wind turbine storm controllers are also implemented. [ABSTRACT FROM AUTHOR]