.png){kind=icon}
返回
Statistical analysis based reactive power optimization using improved differential evolutionary algorithm
.png){kind=icon}
PRE
AI
DOI：10.1111/exsy.13091.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This study presents a novel improved differential evolutionary (IDE) algorithm for optimizing reactive power management (RPM) problems. The effectiveness of IDE algorithm is tested on different unimodal and multimodal benchmark functions. The objective function of the RPM is considered as the minimization of active power losses. Initially, the power flow analysis approach is employed to detect the optimal position of flexible AC transmission system (FACTS) devices. The proposed method is used to determine the optimal value of control variables such as generator's reactive power generation, transformer tap settings, and reactive power sources. Furthermore, the efficacy of the IDE approach is compared with other promising optimization methods such as variants of differential evolution algorithm, moth flame optimization (MFO), brainstorm-based optimization algorithm (BSOA), and particle swarm optimization (PSO) on various IEEE standard test bus (i.e., IEEE-30, -57, -118, and -300) systems with active and reactive loading incorporating FACTS devices. A Static VAR compensator (SVC) for shunt compensation and a thyristor-controlled series compensator (TCSC) for series compensation were used as FACTS devices. The proposed IDE method significantly reduces the active power loss, that is, 55.65% in IEEE 30, 39.68% in IEEE 57, 16.32% in IEEE 118, and 8.56% in IEEE 300 bus system at nominal loading. Finally, the statistical analysis such as Wilcoxon signed-rank test (WSRT) and ANOVA test were thoroughly analysed to demonstrate the firmness and accuracy of the proposed technique.
Keyword:
active power loss
FACTS devices
improved differential evolution
load flow analysis
optimal placement
statistical analysis
期刊
IF:
2.3
论文数:
2.5K
被引数:
3.8K
机构
引用论文
Ant lion optimizer for solving optimal reactive power dispatch problem in power systems求解电力系统无功优化调度问题的蚂蚁狮子优化器
OAAI
OAAI分享收藏分享收藏分享收藏Mechanism and Control of Water–Rock Coupling-Induced Disaster when Mining below the Unconsolidated Confined Aquifer.png)
Geofluids
OAAI
GeofluidsIF0
OAAI分享收藏Logically constrained optimal power flow: Solver-based mixed-integer nonlinear programming modelOAAI
OAAI分享收藏
查看更多内容