Abstract
The economy of the Regional Integrated Energy System (RIES) scheduling scheme is affected by the parameter accuracy of different energy conversion equipment models. The traditional static energy hub (EH) model regards the equipment efficiency as a constant and ignores the variable condition characteristics of the equipment efficiency changing with the load rate. This paper presents an optimal scheduling method of RIES considering the characteristics of equipment under variable operating conditions. Firstly, the architecture of the integrated energy system is analyzed. Secondly, based on the DEH model, an optimal scheduling method of RIES was proposed considering the characteristics of equipment under variable operating conditions. Finally, an optimal scheduling analysis is performed for a typical RIs. The results show that the proposed method can improve the accuracy of the equipment model and reduce the cost prediction error by considering the variable operating conditions of the equipment, thus providing a more economical scheduling scheme for Ries.
Highlights
The comprehensive energy system is an intelligent energy system, which improves the comprehensive utilization efficiency, sustainability and safety reliability through the deep integration and close interaction of various energy sources [1,2,3].Literature [4] established an Energy Hub (EH) model to describe the relationship among energy transmission, conversion, distribution and storage in RIs through a linear coupling matrix, providing a general solution for the modeling of different forms of RIs
A Dynamic Energy Hub (DEH) model is established in this paper to fully consider the influence of load rate on efficiency of energy conversion equipment and improve the parameter accuracy of EH model
The results show that this method can effectively improve the accuracy of equipment modeling, improve the economy of system operation, and make the scheduling scheme more reasonable
Summary
The comprehensive energy system is an intelligent energy system, which improves the comprehensive utilization efficiency, sustainability and safety reliability through the deep integration and close interaction of various energy sources [1,2,3].Literature [4] established an Energy Hub (EH) model to describe the relationship among energy transmission, conversion, distribution and storage in RIs through a linear coupling matrix, providing a general solution for the modeling of different forms of RIs. Based on the EH model, literature [6,7,8] further considers the influence of demand-side response and uncertainty of renewable energy in optimal scheduling. A Dynamic Energy Hub (DEH) model is established in this paper to fully consider the influence of load rate on efficiency of energy conversion equipment and improve the parameter accuracy of EH model. A DEH-based optimal scheduling method of RIES was proposed to minimize the operating cost of RIES. The results show that this method can effectively improve the accuracy of equipment modeling, improve the economy of system operation, and make the scheduling scheme more reasonable
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