A Two-stage Reactive Power Optimization Strategy for AC/DC Hybrid Distribution Network

2020 ◽  
Author(s):  
Chao Li ◽  
Shihong Miao ◽  
Di Zhang ◽  
Lixing Li
Keyword(s):  
Reactive Power ◽  
Power Optimization ◽  
Distribution Network ◽  
Optimization Strategy ◽  
Reactive Power Optimization ◽  
Two Stage ◽  
Hybrid Distribution

scholarly journals Reactive Power Optimization for Distribution Network Based on Distributed Random Gradient-Free Algorithm

Energies ◽  
2018 ◽  
Vol 11 (3) ◽  
pp. 534 ◽  
Author(s):  
Jun Xie ◽  
Chunxiang Liang ◽  
Yichen Xiao
Keyword(s):  
Distribution Systems ◽  
Reactive Power ◽  
Power Optimization ◽  
Distribution Network ◽  
Continuous Optimization ◽  
Distribution Networks ◽  
Optimal Operation ◽  
Centralized Control ◽  
Optimization Strategy ◽  
Reactive Power Optimization

The increasing penetration of distributed energy resources in distribution systems has brought a number of network management and operational challenges; reactive power variation has been identified as one of the dominant effects. Enormous growth in a variety of controllable devices that have complex control requirements are integrated in distribution networks. The operation modes of traditional centralized control are difficult to tackle these problems with central controller. When considering the non-linear multi-objective functions with discrete and continuous optimization variables, the proposed random gradient-free algorithm is employed to the optimal operation of controllable devices for reactive power optimization. This paper presents a distributed reactive power optimization algorithm that can obtain the global optimum solution based on random gradient-free algorithm for distribution network without requiring a central coordinator. By utilizing local measurements and local communications among capacitor banks and distributed generators (DGs), the proposed reactive power control strategy can realize the overall network voltage optimization and power loss minimization simultaneously. Simulation studies on the modified IEEE-69 bus distribution systems demonstrate the effectiveness and superiority of the proposed reactive power optimization strategy.

scholarly journals Reactive power optimization system of distribution network based on edge calculation

2021 ◽  
Vol 1914 (1) ◽  
pp. 012033
Author(s):  
Jinbo Huang ◽  
Jiangxiao Fang ◽  
Liexiang Hu ◽  
Bolong Shi ◽  
Suirong Li ◽  
...  
Keyword(s):  
Reactive Power ◽  
Power Optimization ◽  
Distribution Network ◽  
Reactive Power Optimization ◽  
Optimization System

Reactive Power Optimization with Chaotic Firefly Algorithm and Particle Swarm Optimization in A Distribution Subsystem Network

2016 ◽  
Vol 12 (1) ◽  
pp. 71-78
Author(s):  
Hamza Yapıcı ◽  
Nurettin Çetinkaya
Keyword(s):  
Particle Swarm Optimization ◽  
Firefly Algorithm ◽  
Optimization Problem ◽  
Reactive Power ◽  
Power Optimization ◽  
Distribution Network ◽  
Reactive Power Optimization ◽  
Power Losses ◽  
Swarm Optimization ◽  
Real Distribution

In this paper the minimization of power losses in a real distribution network have been described by solving reactive power optimization problem. The optimization has been performed and tested on Konya Eregli Distribution Network in Turkey, a section of Turkish electric distribution network managed by MEDAŞ (Meram Electricity Distribution Corporation). The network contains about 9 feeders, 1323 buses (including 0.4 kV, 15.8 kV and 31.5 kV buses) and 1311 transformers. This paper prefers a new Chaotic Firefly Algorithm (CFA) and Particle Swarm Optimization (PSO) for the power loss minimization in a real distribution network. The reactive power optimization problem is concluded with minimum active power losses by the optimal value of reactive power. The formulation contains detailed constraints including voltage limits and capacitor boundary. The simulation has been carried out with real data and results have been compared with Simulated Annealing (SA), standard Genetic Algorithm (SGA) and standard Firefly Algorithm (FA). The proposed method has been found the better results than the other algorithms.

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