scholarly journals Reactive power optimization strategy considering analytical impedance ratio

2017 ◽  
Author(s):  
Zhongchao Wu ◽  
Weibing Shen ◽  
Jinming Liu ◽  
Maoran Guo ◽  
Shoulin Zhang ◽  
...  
Keyword(s):  
Reactive Power ◽  
Power Optimization ◽  
Optimization Strategy ◽  
Reactive Power Optimization ◽  
Impedance Ratio

scholarly journals An Online Reactive Power-Optimization Strategy Based on Load-Curve Prediction and Segmentation

2020 ◽  
Vol 10 (3) ◽  
pp. 1145
Author(s):  
Yaqiong Li ◽  
Tongxun Wang ◽  
Zhanfeng Deng
Keyword(s):  
Distribution Systems ◽  
Reactive Power ◽  
Power Optimization ◽  
Reactive Power Compensation ◽  
Optimization Strategy ◽  
Reactive Power Optimization ◽  
Load Curve ◽  
Effective Strategies ◽  
Network Losses ◽  
Compensation Device

Due to fluctuating characteristics of loads, dynamic reactive power optimization over a certain time period is essential to provide effective strategies to maintain the security and economic operation of distribution systems. In operation, reactive power compensation devices cannot be adjusted too frequently due to their lifetime constraints. Thus, in this paper, an online reactive power optimization strategy based on the segmentation of multiple predicted load curves is proposed to address this issue, aiming to minimize network losses and at the same time to minimize reactive power-compensation device adjustment times. Based on forecasted time series of loads, the strategy first segments each load curve into several sections by means of thresholding a filtered signal, and then optimizes reactive power dispatch based on average load in each section. Through case studies using a modified IEEE 34-bus system and field measurement of loads, the merits of the proposed strategy is verified in terms of both optimization performance and computational efficiency compared with state-of-the-art methods.

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.

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