Title :
Reactive power planning for transmission grids with wind power penetration
Author :
Niu, Ming ; Xu, Zhao
Author_Institution :
Dept. of Electr. Eng., Hong Kong Polytech. Univ., Hong Kong, China
Abstract :
This paper proposes an application of Differential Evolution algorithm to power system reactive power planning with wind farms integration. The SVC device is used to minimize the real power losses and to improve the voltage profile during various operation scenarios disturbed by wind power variations. The model is also formulated as a constrained optimization problem, where the constraint is to let the voltage of connection point of the wind farms into the grid close to 1 p.u., which is formulated as a penalty function into the objective function. The reactive power optimization is tested in a modified version of the IEEE 30 bus test system for 6 scenarios of different wind speed levels based on Monte-Carlo simulations with satisfactory results.
Keywords :
IEEE standards; Monte Carlo methods; evolutionary computation; power generation planning; power grids; power transmission; reactive power; wind power plants; IEEE 30 bus test system; Monte Carlo simulations; SVC device; constrained optimization problem; differential evolution algorithm; penalty function; power losses; power system reactive power planning; reactive power optimization; transmission grids; voltage profile; wind farms integration; wind power penetration; wind power variations; wind speed levels; Equations; Indexes; Mathematical model; Simulated annealing; Static VAr compensators; Differential Evolution; Monte-Carlo simulation; optimal reactive power planning; static var compensation (SVC); wind energy;
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.2012.6303336