A platform for research: civil engineering, architecture and urbanism
Optimal generation dispatch incorporating wind power and responsive loads: A chance-constrained framework
This paper presents a novel probabilistic framework for solving the security constrained generation dispatch problem in the presence of wind power and responsive loads. The proposed framework is capable of decreasing the probability or preventing any constraint violations in real time for different combinations of uncertain variables while minimizing the desired objective functions. The presented framework is formulated as a chance constrained problem using the point estimate method to calculate the probabilistic characteristics of output variables. The objective functions which are studied in this work are total operation costs, emissions, and security indexes. Also a probabilistic multi-objective framework is developed to optimize all objective functions concurrently. To study the effect of responsive loads, two different cases are studied neglecting and regarding demand response resources. The proposed method is studied on the IEEE 30-bus system and the results are presented and compared with results obtained from the deterministic generation dispatch framework.
Optimal generation dispatch incorporating wind power and responsive loads: A chance-constrained framework
This paper presents a novel probabilistic framework for solving the security constrained generation dispatch problem in the presence of wind power and responsive loads. The proposed framework is capable of decreasing the probability or preventing any constraint violations in real time for different combinations of uncertain variables while minimizing the desired objective functions. The presented framework is formulated as a chance constrained problem using the point estimate method to calculate the probabilistic characteristics of output variables. The objective functions which are studied in this work are total operation costs, emissions, and security indexes. Also a probabilistic multi-objective framework is developed to optimize all objective functions concurrently. To study the effect of responsive loads, two different cases are studied neglecting and regarding demand response resources. The proposed method is studied on the IEEE 30-bus system and the results are presented and compared with results obtained from the deterministic generation dispatch framework.
Optimal generation dispatch incorporating wind power and responsive loads: A chance-constrained framework
Khazali, Amirhossein (author) / Kalantar, Mohsen (author)
2015-03-01
22 pages
Article (Journal)
Electronic Resource
English
Chance Constrained Optimal Design of Trapezoidal Channels
Online Contents | 2008
|Chance Constrained Optimal Design of Trapezoidal Channels
British Library Online Contents | 2008
|American Institute of Physics | 2018
|Optimal Groundwater Remediation Design by Chance-Constrained Programming
British Library Conference Proceedings | 1997
|