ABSTRACT
This chapter cover operational planning and the economic optimization of integrated energy systems, especially integrated electric power grids required to maximize profit or minimize costs subject to restrictions on the availability of limited resources using linear and integer programming models. This chapter presents linear programming and integer programming techniques, the most powerful methods for solving this type of constrained optimization problem. Basic concepts, model formulation and solving the linear programming model using the simplex method and branch and bound algorithm for solving integer programming problems are presented. Pareto optimality is discussed. A set of worked-out examples on the optimization of energy systems using linear programming and integer programming are illustrated to better understand the applications of linear programming and integer programming problems for integrated energy planning in power systems.
