On Energy Trading Decision Methods in Distributed Energy Management Systems with Multiple Customers

Abstract

This paper addresses an operation and energy purchase planning problem under the CO₂ emissions regulation for corporate entities. Considering energy trading, more efficient energy consumption may be possible. We have studied an agent-based planning system, called Distributed Energy Management Systems (DEMSs), which intends to reduce energy consumption. In the DEMSs, CO₂ emissions regulation is imposed on each corporate entity, and electrical and thermal energy trading among the entities are allowed. We have proposed an energy trading decision method based on the Market Oriented Programming (MOP). In this paper, we propose trading decision methods for the group composed of several customers and several suppliers. Experimental results show effectiveness of the proposed method.