Demand response optimization of power generation and consumption in energy intensive enterprise

This paper discusses the optimal demand response of power generation and consumption in an Energy Intensive Enterprise (EIE) that served by a single load-serving entity (LSE). We propose a distributed algorithm to minimize the total cost, in the presence of uncertain supply of its self-generation plants. The simulation results show that the algorithm is feasible. According to OpenADR 2.0, this paper also designs an automatic information transmission system for demand response optimization of the EIE. We describe the OpenADR communication architecture and communication services of the information transmission system, and the whole optimization process of the algorithm is fully performed by the system automatically. Communication process of the algorithm in the system is shown in simulation.