Title :
A new model and algorithm in power system economic dispatching with fluctuating load and wind power
Author :
Xiong, Longzhu ; Ma, Rui
Author_Institution :
Sch. of Electr. & Inf. Eng., Changsha Univ. of Sci. & Technol., Changsha, China
Abstract :
This paper proposed a consideration of the load and stochastic property of wind energy in power system economic dispatch method. The load constraint at different periods is introduced in optimized model, load forecasting is no longer a single value, but considering a range of load forecast date at different period. And the optimized model is used in calculating the required initial population in order to response to the impact of load forecast deviation to system dispatching. Based on the full utilization of wind energy, the power output of thermal unit was optimized to obtain an economic dispatch scheme. The traditional literature only discussed the improvement for crossover and mutation individuals. Using the idea of combining crossover, mutation, reproduction and individual migration between sub-populations to improve the genetic algorithm, and solve the optimization model. The optimization model of a power system consisting of four thermal power generation units and one equivalent wind power generation unit is performed; the example testing results indicates the feasibility of the proposed method.
Keywords :
genetic algorithms; load forecasting; power generation dispatch; power generation economics; thermal power stations; wind power plants; genetic algorithm; load fluctuation; load forecasting; optimization model; power system economic dispatch method; thermal power generation unit; thermal unit power output; wind energy stochastic property; wind power generation unit; Economics; Genetic algorithms; Load forecasting; Load modeling; Wind forecasting; Wind power generation; economic dispatch; genetic algorithm (GA); power system; wind power generation;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4244-8162-0
DOI :
10.1109/ICECENG.2011.6057754