The Reserve Capacity Model Based on the Idea of Scenario in Power System

2014 ◽  
Vol 1008-1009 ◽  
pp. 173-178
Author(s):  
Xiao Li Zheng ◽  
Ji Chun Liu ◽  
Jia Yi Li ◽  
Yun Xia Wu ◽  
Fang Zhang ◽  
...  

According to the impact of the wind power prediction uncertainty on the power system reserve capacity, the idea of scenario is introduced to the stochastic programming model. The method of scenario is used to simulate the uncertainty model of the wind power generation, load and the conventional units. The scenario-reduction methodology is combined to reduce the large scenario set to a simpler one, then the probability statistics on these scenarios is given in order to obtain the probability density of the system power difference, and the expected energy not supplied (EENS) and expected wind waste risk (EWWR) are presented. The reserve capacity is determined by the two aspects, which are the reliability shown by EENS and EWWR, and the economy of reserve capacity cost. Finally, simulations on a ten-unit system are given to demonstrate the method is effective to reduce the cost of reserve and the abandoned wind power in the context of system reliability.

2013 ◽  
Vol 724-725 ◽  
pp. 649-654
Author(s):  
Jun Li Wu ◽  
Bu Han Zhang ◽  
Zhen Yin Xiao ◽  
Kui Wang

With the increased installed capacity of wind power in power system, determining optimal spinning reserve capacity is one of the most important problems in operation of electricity power system. CVaR (conditional value at risk) is introduced to calculate the risk of the cost associated with load shed and abandoning wind power with the consideration of load and wind power prediction uncertainties. Portfolio theory based on CVaR is used to build the Cost-CVaR model. Efficient frontier, which can support the system operators (SO) with the decision of optimal spinning reserve, can be obtained by solving the Cost-CVaR model. The analysis of RTS example can demonstrate the usefulness and efficiency of the model.


2013 ◽  
Vol 860-863 ◽  
pp. 299-304
Author(s):  
Xiao Ming Jin ◽  
Dong Mei Zhao ◽  
Long Long Li ◽  
Dong Hui Zhang

With the capacity of wind power into power system increasing year by year, the impact of wind power characteristics (random and intermittent) on the system stable equilibrium is outstanding. To configure spinning reserve properly, this paper establishes a relatively complete optimization model of spinning reserve for power system with wind integrated. Using the similar samples to train prediction model, the precision of prediction is improved. The equivalent load duration curve (ELDC) considering load fluctuations and unit outage, is revised by analyzing the probability density of wind power prediction deviation. And the last, this paper gives an example to verify the theory.


2014 ◽  
Vol 651-653 ◽  
pp. 1046-1050
Author(s):  
You Jia Tang ◽  
Lun Nong Tan

The traditional method of power system reserve capacity is not suitable for the power system with large-scale wind power integration. This paper analyzed the prediction error of wind power, the introduction of the system reliability index, established a correlation mode between wind power prediction error and the spare demand change; the introduction of interruptible load to replace part of the reserve capacity, combining probability of the using of spare capacity in historical data, according to the standby capacity demand use of decision theory expected value method is used to solve the optimal reserve. The practical examples prove that the algorithm is feasible.


2013 ◽  
Vol 380-384 ◽  
pp. 2972-2976
Author(s):  
Xiang Yu Lv ◽  
Tian Dong ◽  
Ye Yuan ◽  
De Xin Li ◽  
Xiao Juan Han

Large scale wind power integration has influenced the safety of power system. Taking wind power integration in Jilin as example, the paper describes the influencing factors of large scale wind power integration on reactive power of the grid in detail firstly, then analyze the reactive voltage in four typical ways, and discuss the impact of the wind power fluctuations on the grid reactive voltage.


2020 ◽  
pp. 0309524X2094120 ◽  
Author(s):  
Zhongda Tian

With the continuous growth of wind power access capacity, the impact of intermittent and volatile wind power generation on the grid is becoming more and more obvious, so the research of wind power prediction method has been widely concerned. Accurate wind power prediction can provide necessary support for the power grid dispatching, combined operation of generating units, operation, and maintenance of wind farms. According to the existing wind power prediction methods, the wind power prediction methods are systematically classified according to the time scale, model object, and model principle of prediction. The physical methods, statistical methods include single and ensemble prediction methods related to wind power prediction are introduced in detail. The error evaluation indicator of the prediction method is analyzed, and the advantages and disadvantages of each prediction method and its applicable occasions are given. At the same time, in view of the existing problems in the wind power prediction method, the corresponding improvement plan is put forward. Finally, this article points out that the research is needed for wind power prediction in the future.


2014 ◽  
Vol 672-674 ◽  
pp. 227-232
Author(s):  
Xu Zhi Luo ◽  
Hai Feng Li ◽  
Hua Dong Sun ◽  
An Si Wang ◽  
De Zhi Chen

With the fast development of the wind power, security constraints of power systems have become the bottleneck of the acceptable capacity for wind power. The underdamping oscillation modes of the inter-area is an important aspect of the constraints. In this paper, an equivalent model of a power system with wind plants has been established, and the impact of the integration of the large-scale wind power on the inter-area oscillation modes has been studied based on the frequency-domain and time-domain simulations. The results indicate that the damping of inter-area oscillation mode can be enhanced by the replacement of synchronous generators (SGs) with the wind generators. The enhancing degree is up to the participation value of the SGs replaced. The conclusion has been verified by the actual system example of Xinjiang-Northwest grid. It can provide a reference for system programming and operation.


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