NoranneGabouge / SCUCED_power_syst

Power Systems Optimization : Security Constrained Unit Commitment Economic Dispatch (SC-UCED) solved with Benders decomposition
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Power Systems Optimization

Security Constrained Unit Commitment Economic Dispatch problem solved with Benders decomposition

SC-UCED problem

The problem addressed in this project is the Unit Commitment and Economic Dispatch, which is fundamental in the operation of electrical grids. The setting of our problem is the following: before the beginning of an operation period, the power system operator receives the demand forecast in each time period and price offers of each generating unit in the system for the entire operation horizon. We consider here an operation period of one day and time intervals of one hour. With this information, the operator must solve the following two problems:

Since we are not only considering the operation of the system in its normal state but also in the case that one of a select set of contingencies occurs, we speak of a Security-Constrained Unit Commitment and Economic Dispatch (SC-UCED).

Scope

This project considers the SC-UCED problem formulated as a Mixed Integer Program (MIP) and solves it using Benders decomposition. We are limiting our approach to solving the SC-UCED problem for one day with hourly intervals (half-hourly intervals for some computational experiments), applying Benders' decomposition and relying on a simplified linear formulation of power flow (so-called DC Power Flow). Costs are modeled as a piecewise linear convex function and we assume fast decoupled power flow without losses

The original problem formulation is decomposed into three layers, each one of them corresponding to one specific component of the problem (UC master problem, ED subproblems, SC sub-subproblems).

We conduct computational experiments and compare the results to the performance of an off-the-shelf solver.

Data available in data folder obtained from IEEE test cases with different number of buses

Completed: Spring 2020
Co-authors: Tomas Valencia Zuluaga, Tim Schmidtlein