Title :
Optimization dispatch of wind power integrated power system under carbon market environment
Author :
Wenhai Yang ; Jianpeng Liu ; Jing Li ; Yajing Gao
Author_Institution :
Sch. of Econ. & Manage., North China Electr. Power Univ., Baoding, China
Abstract :
Based on the premise of the low-carbon economy, the relation between power generation and CO2 emission of various power plants is formulated, and the power system optimization dispatch model considering carbon emissions, amount of total fuel, pollutant emission and power purchase cost is established. Carbon capture plant is considered. Considering the intermittency of wind power, in this model the constraints of up spinning reserve and down spinning reserve are introduced to deal with the influence of wind power forecast errors in power system dispatch. The particle swarm optimization (PSO) method and prior priority way are adopted to solve this model. The algorithm based on MATLAB 7.6 is developed. Finally the correctness and effectiveness of the model and algorithm are verified via the validation of test system.
Keywords :
air pollution; carbon capture and storage; carbon compounds; particle swarm optimisation; power generation dispatch; wind power; CO2 emission; CO2; MATLAB 7.6; PSO method; carbon capture plant; carbon emissions; carbon market environment; down spinning reserve; low-carbon economy; particle swarm optimization method; pollutant emission; power generation; power purchase cost; power system optimization dispatch model; prior priority way; up spinning reserve; wind power forecast errors; wind power integrated power system; Carbon dioxide; Linear programming; Optimization; Power systems; Wind farms; Wind power generation; carbon capture power plant; low carbon; particle swarm optimization(PSO); spinning reserve; wind power;
Conference_Titel :
Instrumentation and Measurement, Sensor Network and Automation (IMSNA), 2013 2nd International Symposium on
Conference_Location :
Toronto, ON
DOI :
10.1109/IMSNA.2013.6743294
