Title :
Quantifying Spinning Reserve in Systems with Significant Wind Power Penetration
Author :
Chang, Xuefei ; Lv, Xiangyu ; Liu, Zuoming
Author_Institution :
Jilin Province Electr. Power Res. Inst., State Grid Corp. of China, Changchun, China
Abstract :
With increasing wind power penetration in many power systems, the requirement of spinning reserve is becoming an important issue, which is directly related to the reliability and economy of the system. To analysis it, there are many uncertainties, such as load forecast error, wind forecast error and generator outage rate, which relate system reserve level to the reliability of it. In this paper, a new method is proposed to quantify the system reserve levels. The method considers the probability distribution of forecast errors of wind and load, as well as generator forced outage rate by using the Expectation of Demand Not Served (EDNS) as evaluation index. The proposed method is then applied to a test system. Results illustrate the relationships of uncertainties with the system reserve level.
Keywords :
load forecasting; power generation economics; power generation reliability; statistical distributions; wind power plants; EDNS; evaluation index; expectation of demand not served; load forecasting errors; probability distribution; significant wind power penetration; spinning reserve quantification; system economy; system reliability; system reserve levels; wind forecasting errors; Generators; Power system reliability; Probabilistic logic; Reliability; Spinning; Wind forecasting; Wind power generation;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
Conference_Location :
Shanghai
Print_ISBN :
978-1-4577-0545-8
DOI :
10.1109/APPEEC.2012.6307089