학술논문

An Evolutionary Computation Method for Selecting Pilot Buses with Clustering-based Robust Optimization
Document Type
Conference
Source
2023 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia) Innovative Smart Grid Technologies - Asia (ISGT Asia), 2023 IEEE PES. :1-5 Nov, 2023
Subject
Power, Energy and Industry Applications
Uncertainty
Sensitivity
Computational modeling
Simulation
Asia
Evolutionary computation
Power system stability
Pilot buses
Robust Optimization
Voltage instability
Language
ISSN
2378-8542
Abstract
This paper proposes a new method for selecting pilot buses with Evolutionary Computation (EC). The pilot buses play an important role to take control of the secondary voltage control as a strategy for preventing voltage instability. Most of the conventional methods use linear models with sensitivity, but this paper focuses on a nonlinear model that minimizes the cost function of the voltage deviations with the pilot buses for a set of scenarios. To deal with uncertainties of power system conditions, a clustering-based Robust Optimization method is proposed to consider a variety of worse cases. Evolutionary Particle Optimization (EPSO) is used to optimize the cost function efficiently. The proposed method is tested in the IEEE 57-node system.