Lou Suhua

A Parallel PSO Approach to Multi-Objective Reactive Power Optimization with Static Voltage Stability Consideration

This paper incorporates the voltage stability view to reactive power dispatch and control problem. A multi-objective model of reactive power optimization (RPO) is established, which takes into account of power loss minimization, voltage stability margin maximization and high service quality. In order to measure voltage stability, the least singular value of converged load flow Jacobian is employed as an objective of RPO problem. In this paper, a parallel particle swarm optimization is presented and applied to reactive power optimization problem. The proposed method can keep the population diversity and overcome the premature demerit of classical PSO and modified PSO. The simulations have been carried out on IEEE 14,30 bus system and an actual power system, and the results show the good performance of the proposed algorithm

Clustering analysis of the wind power output based on similarity theory

The most important difference of wind power generator sets is the uncontrollability of their output compared to traditional ones, and it is an important issue to describe the fluctuation that affects on power system and to development a corresponding planning strategy. This paper uses a fuzzy clustering method and similarity theory to classify different periods into different time category and then choose a fixed output value to represent the output of wind power in category respectively. The wind speed distribution function is used to describe the characteristics of classified wind speed data, and expected output of wind power is obtained via a typical wind turbine power curve. The results clustered can provide a theoretical basis for the production simulation and forecasting analysis of wind power integrated system.