An adaptive PSO algorithm for reactive power optimization

2003 ◽  
Author(s):  
Wen Zhang
Keyword(s):  
Reactive Power ◽  
Power Optimization ◽  
Pso Algorithm ◽  
Reactive Power Optimization ◽  
Adaptive Pso

Research on the Reactive Power Optimization

2013 ◽  
Vol 385-386 ◽  
pp. 991-994
Author(s):  
Yan Yan Wang ◽  
Yan Song Li
Keyword(s):  
Power System ◽  
Reactive Power ◽  
Power Optimization ◽  
Low Voltage ◽  
Pso Algorithm ◽  
Reactive Power Optimization ◽  
Voltage Level ◽  
Line Network ◽  
Improved Pso

The power system is facing line losses, low voltage level and some other issues, this article begin with the point of the reactive power optimization, and through with the improved PSO algorithm, we find a way to reduce the line network loss.

Optimal Reactive Power Dispatch Based on Mixed Bacterial Chemotaxis Algorithm

2014 ◽  
Vol 494-495 ◽  
pp. 1849-1852 ◽  
Author(s):  
Xiao Ying Zhang ◽  
Chen Li ◽  
Zhen Li
Keyword(s):  
Reactive Power ◽  
Power Optimization ◽  
Bacterial Chemotaxis ◽  
Optimal Solution ◽  
Pso Algorithm ◽  
Premature Convergence ◽  
Local Optimum ◽  
Reactive Power Optimization ◽  
Optimal Reactive Power Dispatch ◽  
Elite Strategy

Particle Swarm Optimization (PSO) algorithm converges fast but it is easy to fall into local optimum, and bacterial chemotaxis (BC) algorithm prevents premature convergence and prevents falling into local optimum, so a new mixed bacterial chemotaxis (MBC) algorithm is proposed by combining the PSO with BC. The novel algorithm is applied to reactive power optimization on power system. First the PSO is used to find best solution, then BC is used to find the optimal solution among the selected area of previous step, the reserving elite strategy is introduced to enhance the efficiency of the algorithm, and then the optimal solution is obtained. Through the comparison with PSO and BCC in the reactive power optimization of IEEE30-bus system, the results indicate that MBC not only prevents premature convergence to a large extent, but also keeps a more rapid convergence rate than PSO and BCC.

Interval Reactive Power Optimization for Distribution System with DGs

2014 ◽  
Vol 1008-1009 ◽  
pp. 421-425
Author(s):  
Yong Jin Chen ◽  
Jie He Su ◽  
Yong Jun Zhang ◽  
Ying Qi Yi
Keyword(s):  
Interval Arithmetic ◽  
Distribution System ◽  
Power Flow ◽  
Reactive Power ◽  
Power Optimization ◽  
Pso Algorithm ◽  
Optimization Method ◽  
Reactive Power Optimization ◽  
Load Fluctuation ◽  
Proposed Model

A reactive power optimization method based on interval arithmetic is presented to solve the uncertainty of the output of distributed generation (DG) and the effects of load fluctuation. The concept of interval number and interval arithmetic is introduced to model the interval power flow of distribution system, which is iterated by using the Krawczyk-Moore operator. The objective function is to minimize the interval midpoint value of system’s power loss, with taking the interval voltage constraints into consideration for the interval reactive power optimization model. A modified IEEE 14-bus system is used to validate the proposed model and its Particle Swarm Optimization (PSO) algorithm. The simulation results show that the proposed method is effective.

A Novel Reactive Power Compensation Approach Based on Particle Swarm Optimization

2015 ◽  
Vol 740 ◽  
pp. 401-404
Author(s):  
Yun Zhi Li ◽  
Quan Yuan ◽  
Yang Zhao ◽  
Qian Hui Gang
Keyword(s):  
Particle Swarm Optimization ◽  
Optimization Problem ◽  
Reactive Power ◽  
Power Optimization ◽  
Particle Swarm ◽  
Pso Algorithm ◽  
Particle Swarm Algorithm ◽  
Reactive Power Optimization ◽  
Swarm Optimization ◽  
Swarm Algorithm

The particle swarm optimization (PSO) algorithm as a stochastic search algorithm for solving reactive power optimization problem. The PSO algorithm converges too fast, easy access to local convergence, leading to convergence accuracy is not high, to study the particle swarm algorithm improvements. The establishment of a comprehensive consideration of the practical constraints and reactive power regulation means no power optimization mathematical model, a method using improved particle swarm algorithm for reactive power optimization problem, the algorithm weighting coefficients and inactive particles are two aspects to improve. Meanwhile segmented approach to particle swarm algorithm improved effectively address the shortcomings evolution into local optimum and search accuracy is poor, in order to determine the optimal reactive power optimization program.

Probabilistic Reactive Power Optimization of Distribution Network Considering Stochastic Wind Speed and Load

2013 ◽  
Vol 684 ◽  
pp. 676-679
Author(s):  
Shu Heng Chen ◽  
Luan Chen ◽  
Yong Chen
Keyword(s):  
Wind Speed ◽  
Reactive Power ◽  
Power Optimization ◽  
Distribution Network ◽  
Pso Algorithm ◽  
Sql Server ◽  
Particle Swarm Algorithm ◽  
Software System ◽  
Reactive Power Optimization ◽  
Loss Method

Based on the probabilistic loss model of distribution network and the improved hybrid particle swarm algorithm, a reactive power optimization algorithm is presented, which encompasses the effects of stochastic wind speed and load. Firstly, with the control vector dimension’s length augmented and with the probabilistic loss method built, the reactive power optimization model is presented. Secondly, with the Niche operations embedded into the original PSO, an improved hybrid PSO algorithm is presented. Lastly, the corresponding software system program is developed in VC++ language and on basis of SQL SERVER platform. While this software system being supplied into a case, the experimental data have proved that this algorithm possesses more adaptability. At the same time, compared with the RTS algorithm, the calculating process is speeded.

Reactive Power Optimization Based on Improved Particle Swarm Optimization Algorithm Considering Voltage Quality

2011 ◽  
Vol 383-390 ◽  
pp. 4721-4726
Author(s):  
Ying Ping Zhu ◽  
Ze Xiang Cai ◽  
Yong Jun Zhang ◽  
Yong Chao Song ◽  
Yin Guo Yang
Keyword(s):  
Chaos Theory ◽  
Particle Swarm Optimization Algorithm ◽  
Reactive Power ◽  
Power Optimization ◽  
Pso Algorithm ◽  
Reactive Power Optimization ◽  
Swarm Optimization ◽  
Inertia Weight ◽  
Voltage Quality ◽  
Penalty Factor

With the target of voltage quality, an improved PSO algorithm is proposed in reactive power optimization(RPO) of power system. The algorithm adopts some way of chaos theory and flexible inertia weight based on basic PSO and suitable penalty factor on function constraint, which can overcome limitations of partial constringency in basic PSO and improve the efficiency in global optimizing. The simulation of IEEE-14-buse shows this algorithm has better convergence than basic PSO algorithm.

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