Background
With the rapid development of multi-energy technology and the wide application of electric-heat integrated energy system (IES), multi-energy network optimization has become an important research direction of multi-energy joint supply in recent years.Compared with electric energy, heat energy has the characteristics of delay in transmission time and fuzzy body temperature, which makes the heating system more flexible to participate in IES.
Methods
An operation optimization model for the electric-heat IES that takes into account the heat storage characteristics of the heating network is proposed to address the operation cost of the electric-heat IES. Firstly, the virtual energy storage characteristics of the heating network are proposed based on the characteristics of the transmission time delay of the heat system and the somatic blurring of user temperature. Then, the model of the dynamic transfer of energy in the heat system was built. Based on this, an operation optimization model of the electric-heat IES is established. And the Monte Carlo Simulation embedded Quantum Particle Swarm Optimization (MCS-QPSO) algorithm is proposed to solve the model.
Results
This paper takes a park in Northwest China as a simulation case to prove the effectiveness of the model. The analysis of the case shows that the model can optimize the output of energy supply equipment, so that the output equipment can maintain high efficiency. The mode changes the energy purchase strategy according to the price change of different energy. The results show that the proposed model can effectively utilize the virtual energy storage characteristics of the heating network to achieve energy transfer across time, thus reducing the operation cost of the IES.
Conclusions
In this paper, the operation optimization model of the electric heating IES is established based on the incubation period of the heating network and the virtual energy storage characteristics. The model can not only achieve the coordination and complementarity between the electric and thermal systems in time and space, but also improve the energy efficiency and reduce operation cost of the system.