A mathematical model for the investment of power generation with variable renewable energy sources

Date of Publication

2015

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Industrial Engineering

Subject Categories

Industrial Engineering

College

Gokongwei College of Engineering

Department/Unit

Industrial and Systems Engineering

Thesis Adviser

Charlle SY

Defense Panel Chair

Lindley R. Bacudio

Defense Panel Member

Gisselle Joy Esmeria

Abstract/Summary

A mixed integer programming model is developed for a power system capacity expansion problem which considers the renewable energy as the main source of supply. The optimization model determines the renewable power plants candidate for investment and the least - cost mix of capacity between biomass, hydro, wind, solar and geothermal power plants. The intermittent characteristics of renewable energy is integrated in the model by rearranging the load duration curve according to the unavailability of each renewable plant. To facilitate the use of a mathematical programming model, the continuous curve is approximated by piecewise function corresponding to a mode of operation. The operation mode is characterized depending on the unavailability of the renewable technologies. The result of this study could be used for both short term and long term planning wherein the system achieves a sustainable capacity that reducing the cases of unexpected shortage of supply in a specific time period.

Abstract Format

html

Language

English

Format

Print

Accession Number

TU17079

Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

Physical Description

iv, 221 leaves, illustrations (some color), 28 cm.

Keywords

Power resources; Renewable energy sources

Embargo Period

5-2-2021

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