Classic Economic Dispatch

This chapter introduces the input-output characteristic of a power-generating unit as well as the corresponding practical calculation method. It presents several well-known optimization methods to solve the classic economic dispatch (ED) problem. The chapter discusses two general approaches to compute network losses and the corresponding incremental power losses. The first i.e. B-coefficient method, is the development of a mathematical expression for the losses in the network solely as a function of the power output of each of the unit. It discusses the equal incremental principle for classical ED. Finally, the chapter analyzes applications of the latest methods such as neural network and genetic algorithm to classic ED. This chapter also introduces several methods such as Gradient Method, Line Search, Newton-Raphson Optimization, Trust-Region Optimization, Newton-Raphson Optimization with Line Search, Quasi-Newton Optimization, Double Dogleg Optimization, Conjugate Gradient Optimization, Lagrange Multipliers Method and Kuhn-Tucker Conditions, used for economic power operation of power systems.