Application of game theory in energy and power management system

• Main Author: Huang, Hantao.
• Other Authors: Yan Liang
• Format: Final Year Project
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Home entertainment systems
• Online Access: http://hdl.handle.net/10356/54448
• Institution: Nanyang Technological University

Real-time and decentralized energy allocation has become the main features to develop for the next generation energy management system (EMS). In this report, a minority game based Energy Management System is proposed for hybrid energy building and home automation, which is supplied by main grid and solar photovoltaic (PV) cells. The game theory of Minority Game is fully discussed and as well as its application. The residential and commercial room power consumption is also studied for prediction. Integrated with clean energy such as solar energy, the peak consumption is cut based on demand response concept and solar energy is fairly allocated to each room. Moreover, clustering techniques is applied to scale down the large and complex building system.. Compared to the traditional static and centralized EMS (SC-EMS), and the recent multi-agent-based EMS (MA-EMS) based on price-demand competition, our proposed MG-EMS can achieve up to 2.6 x and 6.3x utilization rate improvements respectively regarding to the fairness of solar energy resource allocation. In addition, the proposed MG-EMS can also reduce peak energy demand for main power-grid by 30.6%. As such, one can significantly reduce the cost and improve the stability of micro-grid of smart buildings with a high utilization rate of solar energy. The report is an extension to author’s published two papers on this area and summarized as below. 1. Chun Zhang, Wei Wu, Hantao Huang and Hao Yu, “Fair Energy Resource Allocation by Minority Game Algorithm for Smart Buildings", ACM/IEEE Design Automation and Test Conference in Europe (DATE), March 2012 [5]. 2. Wei Wu, Khalid Muhd, Hantao Huang, Hao Yu, and Hoay Beng Gooi, "A Real-time Cyber-Physical Energy Management System for Smart Houses", IEEE PES Innovative Smart Grid Technologies (ISGT) Asia Conference, November 2011 [6].