Date

2016

Document Type

Thesis

Degree

Master of Science

Department

Industrial Engineering

First Adviser

Storer, Robert H.

Other advisers/committee members

Terlaky, Tamas

Abstract

Renewable power generation resources are one of the biggest trends emerging thepower systems world. The inherent variability of these power sources brings chal-lenges in terms of planning, reliability and feasibility factors. Classical formulationsof Optimal Power Flow systems tries to generate power for a system at minimalcost, considering devices and transmission constraints.This work evaluates the impact of different levels of renewable ”green” energy interms of the two most common optimization models in power systems planning: UnitCommitment and Economic Dispatch, under different time modelling and transmis-sion assumptions.In this thesis a full user-friendly tool in AIMMS was built with4 datasets based on the IEEE RTS-96 Test Cases with Wind and Solar profilesincorporated from the state of Texas. This tool will be available to the academiccommunity for power systems planning research purposes, with capacity to expand.Our analysis finds that, under high renewable resource penetration levels, morefactors have to be considered in planning, such as ramping, under and over gener-ation, storage behaviour, transmission line limits and start-up, shut-down profiles.It is also suggested that, under deep sub-hourly levels, the classic formulation ofunit commitment is not efficient and, therefore it is necessary to incorporate newoptimization techniques.

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