Economic optimization on two time scales for a hybrid energy system based on virtual storage

• Published in: Journal of modern power systems and clean energy Vol. 6; no. 5; pp. 1004 - 1014
• Main Authors: YANG, Jingjie, GUO, Bingqing, QU, Bo
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE); IEEE
• Subjects: Customer satisfaction; Economic forecasting; Economic optimization; Economics; Electrical Machines and Networks; Energy; Energy storage; Energy Systems; HVAC; Hybrid energy system; Hybrid systems; Optimization; Power Electronics; Renewable and Green Energy; Thermal analysis; Time; Two-time scale; Virtual storage; HVAC; Two-time scale; Virtual storage; Economic optimization; Hybrid energy system
• ISSN: 2196-5625; 2196-5420
• DOI: 10.1007/s40565-017-0369-x

This paper proposes an economic optimization method with two time scales for a hybrid energy system based on the virtual storage characteristic of a thermostatically controlled load (TCL). The optimization process includes two time scales in order to ensure accuracy and efficiency. Based on the forecast load and energy supply of the system, the first time scale is day-ahead economic operating optimization, carried out to determine the minimum operating cost for the whole day, and to find the period of greatest cost to which the second time scale optimization is applied. Using the virtual storage characteristic, the second time scale is short term detailed optimization carried out for these particular hours. By dispatching thermal load in this period and adjusting energy supply accordingly, we can find the optimal economic performance, and customer requests are taken into account to ensure satisfaction. A case study in Tianjin illustrates the effectiveness of this method and proves that a TCL can make a great contribution to improving the economic performance of a hybrid energy system.