Chaotic Trees Growth Simulation Algorithm For Reactive Power Optimization

With the fast development of the national economy and the Expanding scale of power system, the users put forward higher requirements for voltage quality, electric power system operation security, economy and stability. Power system's reactive power supply program is the effective measure in improving the quality of voltage, raising the reliability of power supply and reducing loss. It is the important approach to achieve the safe and economic running of the power system, too, and it can improve the ability of transporting and distributing energy. So it is no doubt that power optimization study is an important issue.The reactive power supply program is a mixed integer optimized resultant question with many constraint conditions. As trees growth simulation algorithm (TGSA) has the disadvantage of bad convergence stability and small probability in finding the global optimal solution in solving large scale reactive power optimization problem., a new reactive power optimization algorithm called chaotic trees growth simulation algorithm (CTGSA) is presented in this paper combined with the characters of chaos optimization algorithm, including Sensitivity to initial value and ergodicity. An operator called chaos immigrant is introduced to the process of TGSA to improve the quality of feasible solutions in the growing point collection and keep the diversity of feasible solutions, by which the new algorithm has better convergence stability and optimization precision. When chaotic trees growth simulation algorithm is used for reactive power optimization, it deal with objective function and constraint condition separately and doesn't require continuous and differentiable. It has a strong global optimization capability and a wide range of application prospects.This thesis uses the smallest loss as the objective function, power current as the equation constraint conditions and control and state variances'limit as inequality constraint conditions. It can make loss reach the least in the basic of meeting various technology constraint conditions through regulating control variances.The result of calculation and analysis of a steel enterprise's high voltage distribution network shows that chaotic trees growth simulation algorithm can decrease active power network loss and raise voltage quality effectively, gain globally optimal solution more possibly, and the optimization results have strong convergence stability. It is a scientific and effective algorithm in solving the reactive power optimization problem.