Optimal Scheduling Using Metaheuristics for Energy Networks

Abstract

This paper describes an optimal scheduling technology for determining the operating schedule of an energy network that minimizes CO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> emission or energy costs over a one-day or several-day period. This technology was implemented in Aichi, Japan, at Expo 2005 and at Central Japan Airport City. In the demonstrative research, the optimal scheduling of various energy sources was computed automatically, and then the results by applying a tabu search and genetic algorithm were assessed comparatively.