Chapter 10 - Economic energy dispatch of microgrids using computational intelligence

Abstract

The smart grids and microgrids rely heavily on renewable and distributed generation systems that can introduce many uncertainties in the optimal and economic dispatch of energy. In this chapter the characteristics and challenges of economic dispatch in smart grids and microgrids and the development of artificial intelligence technologies especially machine learning methods are analyzed and discussed. The conventional economic dispatch frameworks are based on optimization methods that can model the economic dispatch problem as a convex optimization problem. Due to the centralized nature of such methods, challenges such as high communication cost and single point of failure emerge, which can be catered using decentralized and distributed methods based on multiagent systems and specialized machine learning methods such as reinforcement learning. This chapter aims at presenting the state-of-the-art machine learning–based methods for the economic dispatch problems in microgrids and smart grids with large penetration of distributed and renewable generation systems.