scholarly journals Short-Term and Medium-Term Reliability Evaluation for Power Systems With High Penetration of Wind Power

2014 ◽  
Vol 5 (3) ◽  
pp. 896-906 ◽  
Author(s):  
Yi Ding ◽  
Chanan Singh ◽  
Lalit Goel ◽  
Jacob Ostergaard ◽  
Peng Wang
Keyword(s):  
Power Systems ◽  
Wind Power ◽  
Reliability Evaluation ◽  
Medium Term ◽  
Short Term ◽  
High Penetration

scholarly journals Quantification of operating reserves with high penetration of wind power considering extreme values

2020 ◽  
Vol 10 (2) ◽  
pp. 1693
Author(s):  
Johan S. Obando ◽  
Gabriel González ◽  
Ricardo Moreno
Keyword(s):  
Power Systems ◽  
Wind Power ◽  
Extreme Values ◽  
Extreme Value Distribution ◽  
Test System ◽  
Generalized Extreme Value Distribution ◽  
Mixed Integer ◽  
Linear Quadratic ◽  
High Penetration ◽  
Range Of Values

The high integration of wind energy in power systems requires operating reserves to ensure the reliability and security in the operation. The intermittency and volatility in wind power sets a challenge for day-ahead dispatching in order to schedule generation resources. Therefore, the quantification of operating reserves is addressed in this paper using extreme values through Monte-Carlo simulations. The uncertainty in wind power forecasting is captured by a generalized extreme value distribution to generate scenarios. The day-ahead dispatching model is formulated as a mixed-integer linear quadratic problem including ramping constraints. This approach is tested in the IEEE-118 bus test system including integration of wind power in the system. The results represent the range of values for operating reserves in day-ahead dispatching.

Field Verification of Frequency Control by Energy-Intensive Loads for Isolated Power Systems With High Penetration of Wind Power

2018 ◽  
Vol 33 (6) ◽  
pp. 6098-6108 ◽  
Author(s):  
Yi Bao ◽  
Jian Xu ◽  
Siyang Liao ◽  
Yuanzhang Sun ◽  
Xiong Li ◽  
...  
Keyword(s):  
Power Systems ◽  
Wind Power ◽  
Frequency Control ◽  
Field Verification ◽  
High Penetration

Study on Medium-Term and Short-Term Wind Power Forecasting Methods

2013 ◽  
Vol 361-363 ◽  
pp. 318-322
Author(s):  
Gui Zhong Wu ◽  
Yuan Biao Zhang ◽  
Cheng Su ◽  
Yu Jie Liu
Keyword(s):  
Neural Network ◽  
Wind Power ◽  
Average Method ◽  
Moving Average ◽  
Forecasting Model ◽  
Power Prediction ◽  
Medium Term ◽  
Accuracy Rate ◽  
Short Term ◽  
Weighted Moving Average

In the paper, the wind power prediction is devided into medium-term forecasts and short-term forecasts. For medium-term forecasts, we use the weighted moving average method and BP neural network forecasting model, while for short-term forecasts, the ARMA model and combination forecasting model based on the maximum entropy principle are used. The application example shows that the weighted moving average method is easy and can precisely obtain the fluctuation trend of the wind power, while the accuracy rate of the BP neural network forecasting model is 91.23%, which is better than the former. The predictive results of the ARMA model are similar with actual trends and its accuracy rate is 88.98%. The combination model integrates the advantages of the BP neural network and ARMA model, and its accuracy rate is up to 92.58%.

Bi-Objective Short-Term Operation Model for Wind Power Penetrated System

2014 ◽  
Vol 953-954 ◽  
pp. 537-542
Author(s):  
Hai Feng Zhang ◽  
Zhao Jun Zhang ◽  
Jun Zhou ◽  
Yuan Chao Yang
Keyword(s):  
Power Systems ◽  
Wind Power ◽  
Pareto Front ◽  
Thermal Power ◽  
Random Variable ◽  
Operation Model ◽  
Short Term ◽  
Term Operation ◽  
Objective Model ◽  
Generic System

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.

scholarly journals Mean-tracking model based stochastic economic dispatch for power systems with high penetration of wind power

Energy ◽  
2020 ◽  
Vol 193 ◽  
pp. 116826 ◽  
Author(s):  
Zhenjia Lin ◽  
Haoyong Chen ◽  
Qiuwei Wu ◽  
Weiwei Li ◽  
Mengshi Li ◽  
...  
Keyword(s):  
Power Systems ◽  
Wind Power ◽  
Economic Dispatch ◽  
Model Based ◽  
High Penetration ◽  
Tracking Model

PMUs-Based Voltage Control of Isolated Power Systems With High Penetration of Wind Power

2018 ◽  
Vol 9 (3) ◽  
pp. 1198-1211 ◽  
Author(s):  
Ting Cui ◽  
Yangwu Shen ◽  
Bin Zhang ◽  
Jian Xu ◽  
Shangfeng Xiong ◽  
...  
Keyword(s):  
Power Systems ◽  
Wind Power ◽  
Voltage Control ◽  
High Penetration
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