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.

Creator

• Pajic, Slobodan

Contributors

• Emanuel, Alexander E.
• Clements, Kevin A.
• Davis, Paul W.

Degree

• MS

Unit

• Electrical & Computer Engineering

Publisher

• Worcester Polytechnic Institute

Language

• English

Identifier

• etd-0430103-152758

Keyword

• optimal power flow
• contingency
• interior point method

Advisor

• Clements, Kevin A.

Committee

• Emanuel, Alexander E.
• Davis, Paul W.

Defense date

• 2003-04-29

Year

• 2003

Date created

• 2003-04-30

Resource type

• Thesis

Rights statement

• In Copyright