Optimal Reserve Distribution Model for Power System with Large Scale Wind Power Integration

2014 ◽  
Vol 596 ◽  
pp. 669-673
Author(s):  
Chen He ◽  
Ji Chun Liu ◽  
Jia Yi Li ◽  
Yun Xia Wu ◽  
Xia Li ◽  
...  
Keyword(s):  
Power System ◽  
Wind Power ◽  
Large Scale ◽  
Distribution Model ◽  
Coal Consumption ◽  
Wind Power Integration ◽  
Forecasting Error ◽  
Before And After ◽  
Consistency Constraints ◽  
Optimal Reserve

Firstly, taking into account the load forecasting error and uncertainty of wind power, the coal saving benefit and network loss of the reserve are combined into integrated coal consumption of thermal units. Then, the consistency constraints of reserve capacity are derived. On the basis of the work mentioned above, the optimal reserve distribution model for power system with large scale wind power integration is proposed. This model is used to compare the network loss, integrated coal consumption and the allocation of reserve before and after adding consistency constraints. Finally, simulation results on the IEEE-RTS24 system verify the effectiveness of the algorithm in solving reserve transfer between units, ensuring the fairness of market and providing a reference to dispatchers.

scholarly journals A Vine-Copula Based Voltage State Assessment with Wind Power Integration

Energies ◽  
2019 ◽  
Vol 12 (10) ◽  
pp. 2019 ◽  
Author(s):  
Xiaolu Chen ◽  
Ji Han ◽  
Tingting Zheng ◽  
Ping Zhang ◽  
Simo Duan ◽  
...  
Keyword(s):  
Wind Speed ◽  
Power System ◽  
Wind Power ◽  
Large Scale ◽  
Assessment Method ◽  
State Assessment ◽  
Distribution Model ◽  
Assessment Procedure ◽  
Wind Power Integration ◽  
Vine Copula

With the increasing rate of wind power installed capacity, voltage state assessment with large-scale wind power integration is of great significance. In this paper, a vine-copula based voltage state assessment method with large-scale wind power integration is proposed. Firstly, the nonparametric kernel density estimation is used to fit the wind speed distribution, and vine-copula is used to construct the wind speed joint distribution model of multiple regions. In order to obtain voltage distribution characteristics, probabilistic load flow based on the semi-invariant method and wind speed independent transformation based on the Rosenblatt transformation are described. On this basis, a voltage state assessment index is established for the more comprehensive evaluation of voltage characteristics, and a voltage state assessment procedure is proposed. Taking actual wind speed as an example, the case study of the IEEE 24-node power system and the east Inner Mongolia power system for voltage state assessment with large-scale wind power integration are studied. The simulation results verify the effectiveness of the proposed voltage state assessment method.

Reserve Capacity Optimization of Large Scale Wind Power Integration

2014 ◽  
Vol 651-653 ◽  
pp. 1046-1050
Author(s):  
You Jia Tang ◽  
Lun Nong Tan
Keyword(s):  
Power System ◽  
Wind Power ◽  
Prediction Error ◽  
Large Scale ◽  
Reserve Capacity ◽  
Power Prediction ◽  
Spare Capacity ◽  
Interruptible Load ◽  
Wind Power Integration ◽  
Optimal Reserve

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.

The Research of Wasting Wind Power and Methods of its Consumption Based on that of Fuxin

2014 ◽  
Vol 986-987 ◽  
pp. 622-629
Author(s):  
Tian Long Shao ◽  
Jian Zhang ◽  
Xu Nan Zhao
Keyword(s):  
Power System ◽  
Wind Power ◽  
Large Scale ◽  
Clean Energy ◽  
Power Grids ◽  
Grid Structure ◽  
Wind Power Integration

As a kind of renewable clean energy, the constant access of wind power to power grids is bound to have a great impact on the power system. Based on the grid structure in Fuxin, this paper will state the difficulty of peak regulation and the matter of wasting wind power caused by the large-scale wind power integration and put forward some reasonable methods for using the wasting wind power in the heating in winter. The relevant results indicate that capacity of local consumption of wasting wind power can be improved. Under the circumstances, it can be conductive to solve the problem of wasting wind power results from the difficulty of peak regulation as well as inspire the power system planners.

The Influence on Reactive Voltage of Large Scale Wind Power Connected to Grid

2013 ◽  
Vol 380-384 ◽  
pp. 2972-2976
Author(s):  
Xiang Yu Lv ◽  
Tian Dong ◽  
Ye Yuan ◽  
De Xin Li ◽  
Xiao Juan Han
Keyword(s):  
Power System ◽  
Wind Power ◽  
Influencing Factors ◽  
Large Scale ◽  
Reactive Power ◽  
Wind Power Integration ◽  
Power Fluctuations ◽  
The Impact

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.

Quantifying the Risk of Wind Power Forecasting Error on Power System Optimal Dispatching

2014 ◽  
Vol 672-674 ◽  
pp. 355-360
Author(s):  
Hui Ren ◽  
Jia Qi Fan ◽  
David Watts ◽  
Dan Wei
Keyword(s):  
Power System ◽  
Wind Power ◽  
Power Output ◽  
Interior Point Method ◽  
Large Scale ◽  
Environmental Cost ◽  
Wind Generation ◽  
Forecasting Error ◽  
Typical Day ◽  
Operation Risk

With large-scale wind power integrates into power system, the risk brought by the uncertainty of wind power output can no longer be neglected. Under this circumstance, the operation risk due to the uncertainty of wind generation and the contribution of wind power to energy conservation and emission reduction are quantified, and the corresponding quantified operational cost, environmental cost and operation risk are being integrated into the economic dispatching model to establish a multi-objective optimization dispatch model. Non-dual interior point method is used to solve the optimization problem. The method is applied to Hebei Southern power grid, simulated with actual wind power output data of one typical day. Simulation results show the rationality and effectiveness of the proposed method.

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