A hybrid algorithm of ordinal optimization and Tabu Search for reactive power optimization in distribution system

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.

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Multi-Objective Reactive Power Optimization Including Distributed Generation

Advances in Sciences and Engineering ◽

10.32732/ase.2019.11.1.46 ◽

2019 ◽

Vol 11 (1) ◽

pp. 46-52

Author(s):

Hong WANG ◽

Zhijie WANG

Keyword(s):

Power Supply ◽

Distribution System ◽

Reactive Power ◽

Power Optimization ◽

Distribution Network ◽

Constraint Equation ◽

Reactive Power Optimization ◽

Multiple Perspectives ◽

Distributed Power ◽

Multi Objective

In order to solve the problem of reactive power optimization of distribution network with distributed power supply, the multi-objective reactive power optimization function is established from multiple perspectives, and the equation constraint and inequality constraint equation of power system are considered. Secondly, taking IEEE33 node distribution system with distributed power supply as an example, reactive power optimization of single objective function is carried out to verify that the proposed algorithm has a global convergence and a great advantage in convergence speed. Finally, multi-objective reactive power optimization of distribution network with distributed power supply is carried out. Simulation results demonstrate the effectiveness of the proposed algorithm.

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Improved genetic algorithm for reactive power optimization of distribution system

10.1049/cp:20030579 ◽

2003 ◽

Author(s):

Zhao Hongwei

Keyword(s):

Genetic Algorithm ◽

Distribution System ◽

Reactive Power ◽

Power Optimization ◽

Reactive Power Optimization ◽

Improved Genetic Algorithm

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Application of Tabu-Genetic Algorithm in Reactive Power Optimization

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1006-1007.1021 ◽

2014 ◽

Vol 1006-1007 ◽

pp. 1021-1025

Author(s):

Song Tao Zhang ◽

Gong Bao Wang ◽

Hui Bo Wang

Keyword(s):

Genetic Algorithm ◽

Tabu Search ◽

Local Search ◽

Reactive Power ◽

Power Optimization ◽

Search Algorithm ◽

Tabu Search Algorithm ◽

Reactive Power Optimization ◽

Simple Genetic Algorithm ◽

Better Than

By using tabu search algorithm which has strong local search ability as mutation operator of genetic algorithm, the tabu-genetic algorithm is designed for reactive power optimization in this paper, the strong global search ability of genetic algorithm and strong local search ability of tabu search algorithm is combined, the disadvantage of weak local search ability of genetic algorithm is conquered. Otherwise, the over limit of population is recorded and filtered, to ensure the final individual is under limit and effective. The tabu-genetic algorithm and simple genetic algorithm are used for simulation of IEEE 14-bus system 500 times, the results indicate that the performance of the tabu-genetic algorithm is much better than the simple genetic algorithm, its local search ability is improved obviously, and the active power loss is reduced more.

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