Load Curtailment Optimization Using the PSO Algorithm for Enhancing the Reliability of Distribution Networks
Power systems are susceptible to disturbances due to their nature. These disturbances can cause overloads or even contingencies of greater impact. In case of an extreme situation, load curtailment is considered the last resort for reducing the contingency impact, its activation being necessary to av...
Main Authors: | Laura M. Cruz, David L. Alvarez, Ameena S. Al-Sumaiti, Sergio Rivera |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-06-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/13/12/3236 |
Similar Items
-
Short-Term Load Forecasting for Electric Power Systems Using the PSO-SVR and FCM Clustering Techniques
by: Xiaogang Huang, et al.
Published: (2011-01-01) -
Data-Driven Prediction of Load Curtailment in Incentive-Based Demand Response System
by: Jimyung Kang, et al.
Published: (2018-10-01) -
Resilience Improvement With Zero Load Curtailment by Multi-Microgrid Based on System of Systems
by: Hasan Mehrjerdi
Published: (2020-01-01) -
Applications of Hybrid EMD with PSO and GA for an SVR-Based Load Forecasting Model
by: Guo-Feng Fan, et al.
Published: (2017-10-01) -
Reliability of islanded microgrids with stochastic generation and prioritized load
by: Kennedy, Scott, et al.
Published: (2010)