The objective of the SuperOPF project is to develop a framework that will provide proper allocation and valuation of resources through true co-optimization across multiple scenarios. Instead of solving a sequence of simpler and approximate sub-problems, the SuperOPF approach combines as much as possible into a single mathematical programming framework with a full AC network and simultaneous co-optimization across multiple scenarios with stochastic costs.
This effort involved development of the problem formulations, implementation of research grade software code, and testing of the methods and algorithms on a range of case studies to demonstrate their added value over currently available tools. The main activities of this project phase included:
- Development of an effective OPF tool as a foundation for SuperOPF’s stochastic co-optimization framework
- Development of an OPF solver which can handle practical large power systems ( > 10,000 buses)
- Development of a robust and efficient OPF solver which can converge well under heavy loading conditions
- Development of an OPF solver that can determine optimal values for discrete control variables
- Support for the extensible modeling capability of the SuperOPF Framework
- Evaluation of PJM’s 13,000-bus system
- Support for utility industry standard network models
- Support for improvements of load modeling, DC line modeling and generator capability curve modeling
- Data Format and modeling improvement: PSS/E version 30 (PJM) and CIM compliance format (CAISO)