Abstract
In view of the difficulties in optimal dispatch caused by diverse energy and various types of equipment in the regional integrated energy system(RIES), this paper established a generalized energy storage model by extracting the flexibility characteristics of cooling, heat, and electrical load based on abstract equivalence. Instead of reducing the accuracy of regulation, this modeling method can greatly simplify the information interaction between the energy dispatching center and energy consumers, thus cutting down the time of collaborative analysis calculations. With the scheduling characteristics of multiple types of flexible loads in day-ahead and intra-day time scales considered comprehensively, a multi-time-scale optimization scheduling model of RIES is established, which takes into account the economy of system operation and the demand response. The simulation results show that the proposed optimization model can fully tap the load-side scheduling potential, along with effectively reducing the computational complexity. Through the coordination of resources with different characteristics, the pressure of balancing energy supply and demand can be relieved, and the operating cost of the system can be minimized.
Highlights
The regional integrated energy system (RIES) integrates primary energies such as wind, solar, and natural gas, where collaborative optimization of cold, heat, electricity and gas between the supply and the demand side is realized [1], [2], which helps to optimize the energy structure and reduce dependence on traditional fossil energy
Considering the deficiency of existing research on modeling method and optimal dispatching of RIES, this paper explores demand response potential based on the analysis of the energy consumption characteristics of cooling, heat, and electrical loads
This paper proposes a multi-time scale optimal dispatching method for the electric-thermal coupling system, taking the integrated demand response into consideration
Summary
The regional integrated energy system (RIES) integrates primary energies such as wind, solar, and natural gas, where collaborative optimization of cold, heat, electricity and gas between the supply and the demand side is realized [1], [2], which helps to optimize the energy structure and reduce dependence on traditional fossil energy. The above-mentioned papers neglect the coordination of integrated energy load response characteristics and the system scheduling on the time scale. To this end, a multi-time scale flexible resources coordination optimization scheme is presented in [21], which considers the smart loads’ participation and presents a multi-time-scale power dispatch model that considers coordination and interaction between resources and electrical loads. Considering the deficiency of existing research on modeling method and optimal dispatching of RIES, this paper explores demand response potential based on the analysis of the energy consumption characteristics of cooling, heat, and electrical loads. This paper proposes a multi-time scale optimal dispatching method for the electric-thermal coupling system, taking the integrated demand response into consideration.
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