Variants of game of life on microgrids: density demand management

Abstract

This paper studies a phenomenon called density demand management (DDM) of microgrids, and shows that this phenomenon can be modeled by variants of Conway's Game of Life (GL) cellular automata. The density and activity reflecting fluctuation of all games are similar to the GL. An important task is to share the load demand using multiple distributed generation (DG) units in order to implement the operation of autonomous microgrids. The density of microgrids must be adjusted to a certain level to meet the load demand. In this paper we propose a self-adaptive algorithm to find stable density range methods in variants of GL. The configuration is based on the standard GL rules and its variants. The pentadecathlon (PD) is represented as the basic computational unit, and it is shown how it can be adjusted in variants of GL while achieving stable density range. The details of self-adaptive algorithm mechanism and its working are described, and the simulations and experimental results validate the feasibility of the proposed method. This paper offers a useful contribution for cellular automata based modeling, explores why such models are particularly useful for microgrids density management dynamics simulations.