Faculty Advisor or Committee Member

Kevin A. Clements, Advisor

Faculty Advisor or Committee Member

Alexander E. Emanuel, Committee Member

Faculty Advisor or Committee Member

Paul W. Davis, Committee Member

Identifier

etd-0430103-152758

Abstract

The focus of this thesis is formulation and development of a mathematical framework for the solution of the contingency constrained optimal power flow (OPF) based on sequential quadratic programming. The contingency constrained optimal power flow minimizes the total cost of a base case operating state as well as the expected cost of recovery from contingencies such as line or generation outages. The sequential quadratic programming (SCP) OPF formulation has been expanded in order to recognize contingency conditions and the problem is solved as a single entity by an efficient interior point method. The new formulation takes into account the system corrective capabilities in response to contingencies introduced through ramp-rate constraints. Contingency constrained OPF is a very challenging problem, because each contingency considered introduces a new problem as large as the base case problem. By proper system reduction and benefits of constraint relaxation (active set) methods, in which transmission constraints are not introduced until they are violated, the size of the system can be reduced significantly Therefore, restricting our attention to the active set constraint set makes this large problem significantly smaller and computationally feasible.

Publisher

Worcester Polytechnic Institute

Degree Name

MS

Department

Electrical & Computer Engineering

Project Type

Thesis

Date Accepted

2003-04-30

Accessibility

Unrestricted

Subjects

contingency, interior point method, optimal power flow, Electric power systems, Load dispatching, Data processing, Sequential processing (Computer science), Quadratic programming

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