A simulated annealing algorithm for unit commitment

Abstract
Summary This paper presents a Simulated Annealing Algorithm (SAA) to solve the Unit Commitment Problem (UCP). New rules for randomly generating feasible solutions are introduced. The problem has two subproblems: a combinatorial optimization problem and a nonlinear programming problem, The former is solved using the SAA while the latter problem is solved via a quadratic programming routine. Numerical results showed an improvement in the solutions cost s compared to previously obtained results.

This publication has 11 references indexed in Scilit: