ABSTRACT
Many engineering problems, including the operation o f power systems, are concerned with the efficient use o f limited resources to meet a specified objective. If these problems can be modeled, they can be converted to an optimization problem of a known objective function subject to given con straints. Most practical systems are nonlinear in nature; however, some approximations are usually tolerable to certain classes o f problems. Two methods commonly used are linear and quadratic programming. The former solves those problems where both the objective and constraints are linear in the decision variables. The quadratic optimization method assumes a quad ratic objective and linear constraints.
