Project: May Project Team Members: Edward McDowell, EE Richard Mott, EE / Econ Faculty Advisors: Dr. John Lamont Dr. James McCalley Combined-cycle generating units are being added to current power systems in order to meet increasing load requirements as efficiently as possible. They consist of two simple-cycle combustion turbines with a heat recovery steam generator. Combined-cycle units exhibit non-monotonically increasing cost curves which cannot be handled by classical methods of economic dispatch optimization such as Newton-Raphson, binary-search, and other lambda-iteration techniques. The project team will develop an algorithm to calculate optimal economic dispatch including both monotonically and non-monotonically increasing generators. Major milestones include development of the optimization algorithm, implementation of the algorithm in Microsoft Excel using Visual Basic macro programming, and delivery of the software and documentation to the client. Optimal results will allow for power to be produced at the lowest possible cost to the client while prolonging the life of each generating unit. Problem statement: Develop an algorithm for the optimal economic dispatch of monotonically and non- monotonically increasing generators Create a program to implement the algorithm Operating environment: Use Visual Basic for macro creation in Microsoft Excel Real-time economic dispatch at control center Intended User: MidAmerican employees Generation dispatchers Intended Uses: Optimize the economic dispatch of monotonically increasing and non-monotonically increasing generators Benchmark cost curves for future algorithm designs Assumptions: Enumeration / iteration will be used as the optimization method for the algorithm 12 monotonically increasing units and 2 sets of non-monotonically increasing units will be modeled Limitations: Input data for generating units shall use piece-wise linear incremental heat rate curves Results must be written into a single Excel workbook Expected End Product: Excel workbook file with Visual Basic macros User instructions documentation Easy to use interface Design Objectives: Flexible program design Well-commented program code Comprehensive iteration scheme Functional Requirements: Provide best generator dispatch Output iteration calculations Design Constraints: Five minute limit on iteration run time Expandable for future non-monotonically increasing units Clear box design enabling modifications of program Ability to include unit commitment The project will create a software application that will seek to produce the most economic power distribution between monotonically and non-monotonically increasing generators. An algorithm will be created to incorporate the two types of generators and will be combined with a user interface to produce a usable program. This program will be written in Microsoft Excel using Visual Basic macros and will meet the outlined requirements. MidAmerican Energy can expect to benefit from this project through a reduction in fuel costs due to improved generator dispatch and prolonged generator life. Client Contacts: Alan Oneal Matt Mitchell Financial Requirements: Adam Peterson, EE Seth Thorp, EE ItemW/O LaborWith Labor Bound Project Plan $ Poster $ Labor at $10 per hour: McDowell, Edward$1, Mott, Richard$1, Peterson, Adam$1, Thorp, Seth$1, Total $ 82.00$ 6, Abstract Personal Effort: Resources Contact Information Introduction Project Requirements Summary Total Hours: Edward McDowell155 Richard Mott154 Adam Peterson151 Seth Thorp156 Total616 Greater Des Moines Energy Center Combined Cycle Plant Diagram of a Combined Cycle Generator Technical Approach and Considerations Load User Defined Inputs Solve for Non- Monotonically Increasing Units Solve for Monotonically Increasing Units Combine Solution Sets Run Algorithm Output Optimal Dispatch Proposed Approach: Technologies Considered: Visual Basic (required) Microsoft Excel (required) Testing Considerations: Test the algorithm using C++ Client testing Project Requirements cont. Measurable Milestones: End-product Design Dec. 13, 2004 Product prototype Feb. 21, 2005 Product testing Apr. 04, 2005 Product documentation Apr. 11, 2005 Product demonstration Apr. 18, 2005