Development of a methodology for forecasting electricity-price series to improve demand response initiatives

2009 ◽  
Author(s):  
A. Guillamon ◽  
M.C. Ruiz ◽  
A. Gabaldon ◽  
S. Valero ◽  
C. Alvarez ◽  
...  
2014 ◽  
Vol 5 (2) ◽  
pp. 779-788 ◽  
Author(s):  
Shuhui Li ◽  
Dong Zhang ◽  
Adam B. Roget ◽  
Zheng O'Neill

Author(s):  
Fu Xianyu ◽  
Zhou Hongmei ◽  
Qi-jie Jiang ◽  
Ke Fan

Aiming at the traditional day-ahead dispatching scheme of power generation, the paper proposes a power system security optimization dispatching model that considers the demand response of electricity prices under the electricity market incentive mechanism. Based on the peak and valley time-of-use electricity price, the paper establishes an incentive compensation mechanism to encourage users to be active. Participating in demand-side resource scheduling makes the effect of “peak shaving and valley filling” more pronounced. Simultaneously, to rationally configure the reserve capacity of grid operation, the system incorporates the expected power outage loss into the proposed model to ensure the grid operation safety. The analysis of calculation examples based on IEEE24 nodes shows that the power optimal dispatch model proposed in the paper considering demand response and expected outage loss can reduce the operating cost of the power grid under the premise of ensuring a certain level of reliability and realize the economy of the power system in the market environment and safe operation.


2013 ◽  
Vol 380-384 ◽  
pp. 3098-3102
Author(s):  
Ning Lu ◽  
Ying Liu

The construction of grid plays an important role in national economic development, social stability and peoples life. In case that electricity market adopts real time electricity price, users active participation and real time response to electricity price will change the traditional load prediction from rigid forecasting to flexible forecasting which takes electricity demand response into consideration. By using wavelet analysis and error characteristics analysis, the researches into the probabilistic predicting method for demand changes under the real time electricity pricing is carried out. The probabilistic load prediction result shall enable decision makers to better understand the load change range in the future and make more reasonable decision. Meanwhile, it shall provide support to electricity system risk analysis.


2010 ◽  
Vol 4 (6) ◽  
pp. 706 ◽  
Author(s):  
A. Gabaldón ◽  
A. Guillamón ◽  
M.C. Ruiz ◽  
S. Valero ◽  
C. Álvarez ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document