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EE 458 Course objectives (Fall 2019) T, Th 9:30-10:50, Gilman 2205 Instructor: Professor James McCalley |
2005-2007 Catalog listing:
(Cross-listed with ECON). (3-0) Cr. 3. Prereq: E E 303 or ECON 301.
Evolution of electric power industry. Power system operation and planning and related information systems. Linear and integer optimization methods. Short-term electricity markets and locational marginal prices. Risk management and financial derivatives. Basics of public good economics. Cost recovery models including tax treatment for transmission investments.
Course Objectives:
Objective 1: Articulate the basic principle of the
simplex method for solving linear programs.
Objective 2: Formulate and solve a linear program
using Matlab, Excel, or CPLEX.
Objective 3: Articulate basic principles of branch
& bound algorithm for solving integer programs.
Objective 4: Formulate and solve an integer program
using Matlab, Excel, or CPLEX.
Objective 5: Identify the main design attributes of
an electricity market system.
Objective 6: Set up and solve for the competitive
equilibrium of a 2 or 3 agent electricity market.
Objective 7: Set up and solve for the social optimum
and locational marginal prices of a network
with agents having elastic supply and demand
functions, using linear programming.
Objective 8: Identify how security
constrained optimal power flow problem and the unit commitment problem are used in electricity markets.
Objective 9: Identify the main components of the
transmission planning process.
Objective 10: Identify relationship between
transmission planning process & electricity markets.