Advanced Materials Research Vols. 953-954

Abstract: The paper deals with the development of the dynamic model of wind by modeling the longitudinal component of wind speed. Statistical description of turbulent wind component using Kaimal’s function is represented. All necessary parameters for model performing are calculated. The results of modeling in the form of dynamic characteristics are presented.

Abstract: At present, distributed wind is in its infancy, so engineering practice and related technology research and development is relatively lacking. The aging problem parallel operation between wind power and power grid enterprises is the issue that the whole world should be confronted with. This paper study the influence of wind power access to power grid operation, reveal the interactive mechanism of distributed wind power and power grid, formulate the corresponding technical specification and achieve the centralized control of distributed wind power. These can be used to guide the large-scale development of distributed wind power, which makes the development of distributed wind power guided by resource type guide transition to the grid type.

Abstract: In view of the uncertainty and intermittency of wind power, this paper presents a bi-objective short-term operation model to manage wind-thermal power systems. This model takes into account both the offer cost and emission. Wind power is regarded as a random variable and is assumed to follow the beta distribution. The bi-objective particle swarm optimization (BOPSO) approach is applied to solve the bi-objective model and Pareto front is obtained. The model and the solution method are tested on a generic system. The validity of the model and the method has been approved.

Abstract: Reactive power optimization scheduling problem of wind plant including capacitor and fan is researched in this paper. According to the structure of the wind plant to set different scenarios , aiming at minimizing the reactive power loss , establish the reactive power optimization mathematical model of the wind plant, calculate the optimal reactive power of wind turbine in different positions , minimize the reactive power loss inside wind plant under the constraints of the offset range of node voltage and the reactive power demand of grid. Through the analysis of examples,clear whether a reasonable reactive scheduling scheme can be getted, and present the optimization result . Keywords: Wind plant,Reactive power optimization scheduling,DE algorithm

Abstract: With global warming, more and more people begin to pay close attention to the development of new energy, especially wind power. To promote the healthy development of the wind power industry, countries are required to wind farms with a function of low voltage ride through. The research object of this paper is the capacity for 49.5MW wind farm, using German power system simulation software DIgSILENT/Power Factory to build wind farm model, proposed a new method to achieve LVRT for wind farms by short-circuit test. By comparing the simulation results with the test results, we can verify that the method can achieve the desired requirements.

Abstract: Integrated wind farms exert a growing influence in the economic operation of power system. Wind power is a form of intermittent and random energy. This paper introduces a model including the error in wind power forecasts using a probability or relative frequency histogram. Compared with the deterministic OPF, the proposed model allows the coordination of wind andthermal power while accounting for the expected penalty cost for not using all available wind power and the expected cost of calling up power reserves because of wind power shortage.Simulation results are presented for cases where the forecasting error histogram is eitherderived from historical data or estimated by a bimodal normal distribution.

Abstract: With the wind power installed capacity increased, it brings great challenges to the stable operation of the power grid. In order to take consideration of the wind power impact, this paper proposes a wind power variability model applied to the probabilistic load flow calculation using the method of combined cumulants and improved Von-Mises Expansion. This wind power variability model combines the concept of Markov chain process and scenario tree theory, taking in to account the relationships of the outputs of wind turbines at adjacent moment by considering the coupling interaction at different time intervals. Computer simulations verify the effectiveness and applicability of the proposed method through IEEE bus-39 New England case study.

Abstract: Aiming at the problem appears in recent years, which is caused by the grid voltage swell, this paper analyzed the reasons for the voltage swell and its harm of the voltage swell to doubly-fed wind turbine. According to the derivation of doubly-fed wind turbine’s transient process when voltage swells, the paper proposed several technical solutions of high voltage ride-through (HVRT) to improve the HVRT capability of doubly-fed wind turbine.

Abstract: Wind energy source has been paid high attention to and developed into one of the most mature and largest-scale mode of new energy power generation. However, the uncertainty and fluctuation of wind power brings great challenge to the normal operation of power system. In this paper, the dynamic economic dispatch of wind power incorporated system is demonstrated. The accumulation variable method based on chance constraint programming is adopted to make the dynamic economic dispatch. The test example shows that the accumulation variable method based on chance constraint programming is suitable and effective.

Abstract: Considering wind power output characteristics, TOU model with frequency is proposed, in the form of “normal tariff plus frequency tariff”. Response mode and capacity is analyzed on the basis of consumer psychology. The numerical examples shows its effectiveness, that wind power output can be complemented by demand through tariff incentives, avoid abandoning the wind and reducing peak power difference.