Accuracy Evaluation of Power Grid Reduction Method Utilizing Differential Evolution under the Condition of Increasing Renewables Deployment

2019 ◽  
Vol 139 (1) ◽  
pp. 27-38
Author(s):  
Takahiro Shimoo ◽  
Misao Kimura ◽  
Yuji Ishihara ◽  
Takafumi Maeda
Keyword(s):  
Differential Evolution ◽  
Reduction Method ◽  
Power Grid ◽  
Accuracy Evaluation

Novel power grid reduction method based on L1 regularization

2015 ◽  
Author(s):  
Ye Wang ◽  
Meng Li ◽  
Xinyang Yi ◽  
Zhao Song ◽  
Michael Orshansky ◽  
...  
Keyword(s):  
Reduction Method ◽  
Power Grid ◽  
L1 Regularization

Differential evolution-based optimal placement of phase measurement unit considering measurement redundancy

2015 ◽  
Vol 06 (01) ◽  
pp. 1550016 ◽  
Author(s):  
Zhong-Jie Wang ◽  
Shu-Ying Yuan ◽  
Xuan Zhao ◽  
Cheng-Chao Lu
Keyword(s):  
Differential Evolution ◽  
Phase Measurement ◽  
Power Grid ◽  
Electric Power System ◽  
Optimal Placement ◽  
Measurement Unit ◽  
De Algorithm ◽  
Minimum Number ◽  
And Control ◽  
Bus System

Phase measurement unit (PMU) is the key equipment for electric power system, which has been used to monitor and control power grid. But it is too expensive to deploy on each bus. So, we need to investigate how to deploy PMU to satisfy our observation requirements with minimum PMU numbers. This problem is called the optimal PMU placement (OPP). In this paper, we employ differential evolution (DE) algorithm to solve the OPP problem. Our optimization target is to make the power grid completely observable with maximum redundancy and minimum number of PMU. The proposed method is tested on IEEE 14-bus system, IEEE 30-bus system and IEEE 57-bus system respectively with considering the zero injection.

LZW differential evolution for binary encoding

2012 ◽  
Author(s):  
Orawan Watchanupaporn ◽  
Worasait Suwannik
Keyword(s):  
Differential Evolution ◽  
Binary Encoding

Cognitive task analysis of power grid monitors

2009 ◽  
Author(s):  
David Close ◽  
Kari Babski-Reeves ◽  
Nick Younan ◽  
Noel Schulz
Keyword(s):  
Task Analysis ◽  
Cognitive Task ◽  
Power Grid ◽  
Cognitive Task Analysis

Type -Reduction Method on Fuzzy Critical Path

2019 ◽  
Vol 7 (1) ◽  
pp. 256-259
Author(s):  
P.Balasowandari ◽  
Dr. V.Anusuya
Keyword(s):  
Reduction Method ◽  
Critical Path ◽  
Type Reduction
Sign in / Sign up

Export Citation Format

Share Document