A Novel Wind Power Accommodation Strategy Considering User Satisfaction and Demand Response Dispatch Economic Costs

2018 ◽  
pp. 36-45
Author(s):  
Jie Hong ◽  
Xue Li ◽  
Dajun Du
Keyword(s):  
Wind Power ◽  
Demand Response ◽  
User Satisfaction ◽  
Economic Costs

scholarly journals Day-Ahead and Intra-Day Optimal Scheduling of Integrated Energy System Considering Uncertainty of Source & Load Power Forecasting

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2539
Author(s):  
Zhengjie Li ◽  
Zhisheng Zhang
Keyword(s):  
Wind Power ◽  
Demand Response ◽  
Solar Power ◽  
Load Forecasting ◽  
Energy System ◽  
Optimal Scheduling ◽  
Scheduling Scheme ◽  
Load Power ◽  
Integrated Energy System ◽  
Operation Cost

At present, due to the errors of wind power, solar power and various types of load forecasting, the optimal scheduling results of the integrated energy system (IES) will be inaccurate, which will affect the economic and reliable operation of the integrated energy system. In order to solve this problem, a day-ahead and intra-day optimal scheduling model of integrated energy system considering forecasting uncertainty is proposed in this paper, which takes the minimum operation cost of the system as the target, and different processing strategies are adopted for the model. In the day-ahead time scale, according to day-ahead load forecasting, an integrated demand response (IDR) strategy is formulated to adjust the load curve, and an optimal scheduling scheme is obtained. In the intra-day time scale, the predicted value of wind power, solar power and load power are represented by fuzzy parameters to participate in the optimal scheduling of the system, and the output of units is adjusted based on the day-ahead scheduling scheme according to the day-ahead forecasting results. The simulation of specific examples shows that the integrated demand response can effectively adjust the load demand and improve the economy and reliability of the system operation. At the same time, the operation cost of the system is related to the reliability of the accurate prediction of wind power, solar power and load power. Through this model, the optimal scheduling scheme can be determined under an acceptable prediction accuracy and confidence level.

Impacts of joint operation of wind power with electric vehicles and demand response in electricity market

2021 ◽  
Vol 201 ◽  
pp. 107513
Author(s):  
Xian Wang ◽  
Huajun Zhang ◽  
Shaohua Zhang ◽  
Lei Wu
Keyword(s):  
Wind Power ◽  
Electric Vehicles ◽  
Demand Response ◽  
Electricity Market ◽  
Joint Operation

Optimization of Energy Sub Hub with Wind Power and Demand Response

2021 ◽  
Author(s):  
Yining Liu ◽  
Li Jia ◽  
Suwan Wu
Keyword(s):  
Wind Power ◽  
Demand Response

Study on demand response to participate in wind power integration

2013 ◽  
pp. 1077-1080
Author(s):  
Gui-Xiong He ◽  
Xiao-Shuang Chen ◽  
Yu-Hui Zhou ◽  
Deng Pan ◽  
Li-Min Jiang ◽  
...  
Keyword(s):  
Wind Power ◽  
Demand Response ◽  
Wind Power Integration ◽  
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