Date of Award

11-1-2014

Document Type

Masters Thesis

Degree Name

M.S.

Organizational Unit

Daniel Felix Ritchie School of Engineering and Computer Science

First Advisor

Jun Zhang, Ph.D.

Second Advisor

Wenzhong Gao

Third Advisor

Yingchen Zhang

Keywords

Hybrid power systems, IEEE 24-bus reliability test system

Abstract

A statistical scheduling approach to economic dispatch and energy reserves is proposed in this paper. The proposed approach focuses on minimizing the overall power operating cost with considerations of renewable energy uncertainty and power system security. A hybrid power system generates electricity from both conventional and renewable energy sources. In such a system, it is challenging and yet an open question on the scheduling of economic dispatch together with energy reserves, due to renewable energy generation uncertainty, and spatially wide distribution of energy resources. The hybrid power system scheduling is formulated as a convex programming problem to minimize power operating cost, taking considerations of renewable energy generation, power generation-consumption balance and power system security. This new approach for scheduling hybrid power economic dispatch and energy reserves will contribute to the emerging grand challenge of renewable energy integration into the existing power system facilities.

A genetic algorithm based approach is used for solving the minimization of the power operating cost. The IEEE 24-bus reliability test system (IEEE-RTS), which is commonly used for evaluating the price stability of power system and reliability, is used as the test bench for verifying and evaluating system performance of the proposed scheduling approach

Publication Statement

Copyright is held by the author. User is responsible for all copyright compliance.

Rights Holder

Yi Gu

Provenance

Received from ProQuest

File Format

application/pdf

Language

en

File Size

48 p.

Discipline

Electrical engineering

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