Interior Point Methods for Renewable Energy Management

In a distributed energy system, the optimal scheduling of the use of energy resources is important to reduce cost and can become critical to meeting the energy needs in an isolated system. This paper presents a general framework that allows to formulate the energy management problem in a linear programming framework with inequality constraints. In order to solve the problem thus formulated, the classical simplex or mixed-integer linear programming algorithms have been replaced with two interior point methods, which are of polynomial-time complexity.