Document

Optimization models for electricity networks and renewable energy under uncertainity

About this Digital Document

This work focuses on developing optimization models and algorithms to solve problems in electricity networks and renewable energy. The steady rise of electricity demand in the world, along with the deployment of volatile renewable energy resources in greater quantities, will require many researchers, policymakers, and other stakeholders in the field of power management to understand these challenges and use new methods, approaches and technologies to modernize the electric grid. We study reliable and efficient electricity dispatch with minimum costs in power networks and efficient and economic harvesting of ocean wave energy by optimizing wave farm configuration.
Full Title
Optimization models for electricity networks and renewable energy under uncertainity
Publisher
Lehigh University
Date Issued
2015-08
Language
English
Type
Form
electronic documents
Department name
Information and Systems Engineering
Digital Format
electronic documents
Media type
Creator role
Graduate Student
Identifier
923791803
https://asa.lib.lehigh.edu/Record/10612996
Moarefdoost, Mohsen. (2015). Optimization models for electricity networks and renewable energy under uncertainity (1–). https://preserve.lehigh.edu/lehigh-scholarship/graduate-publications-theses-dissertations/theses-dissertations/optimization-8
Moarefdoost, Mohsen. 2015. “Optimization Models for Electricity Networks and Renewable Energy under Uncertainity”. https://preserve.lehigh.edu/lehigh-scholarship/graduate-publications-theses-dissertations/theses-dissertations/optimization-8.
Moarefdoost, Mohsen. Optimization Models for Electricity Networks and Renewable Energy under Uncertainity. Aug. 2015, https://preserve.lehigh.edu/lehigh-scholarship/graduate-publications-theses-dissertations/theses-dissertations/optimization-8.