Title :
Multi-area scale electric power and energy balance with high wind power penetration based STACKELBERG decision theory
Author :
Liu, Xu ; Wang, Hongtao ; Zhou, Qinyong ; Hu, Bin
Author_Institution :
Sch. of Electr. Eng., Shandong Univ., Jinan, China
Abstract :
In order to coordinate the electric power and energy balance with the space scales and spatial scales among different level dispatching center, a leader-follower hierarchical decision model is proposed for taking advantage of the wind speed complementary characteristic of multi regional wind farms. With the STACKELBERG decision strategies, a coordination decision model of the electric power and energy balance is to combine the bottom-up feasibility tests with the top-down target optimizing. The follower layers would give a commitment to the leader layer, and the leader layer would optimize the follower layers commitments and get an optimized agreement for all followers. A dynamic programming optimization method is employed for calculating the entire system balance plan. The simulation results demonstrate that the proposed decision-making structure fits to large-scale power system hierarchical dispatching and satisfy the coordination of various dispatching demand in different levels.
Keywords :
decision making; dynamic programming; power generation dispatch; wind power plants; Stackelberg decision theory; bottom-up feasibility tests; decision-making structure; dynamic programming optimization method; electric power coordination decision model; energy balance; high wind power penetration; large-scale power system hierarchical dispatching; leader-follower hierarchical decision model; level dispatching center; multiarea scale electric power; multiregional wind farms; top-down target optimization; wind speed complementary characteristic; Dispatching; Lead; Power grids; Thermal loading; Wind farms; Wind power generation; dispatching; dynamic programming; electric power balance; energy balance; leader-follower hierarchical decision; multi-area scale; multi-objective; peak load regulation; wind power;
Conference_Titel :
Innovative Smart Grid Technologies - Asia (ISGT Asia), 2012 IEEE
Conference_Location :
Tianjin
Print_ISBN :
978-1-4673-1221-9
DOI :
10.1109/ISGT-Asia.2012.6303213