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Operation optimization of regional integrated energy system based on the modeling of electricity-thermal-natural gas network

Wang, Yongli, Wang, Yudong, Huang, Yujing, Yang, Jiale, Ma, Yuze, Yu, Haiyang, Zeng, Ming, Zhang, Fuwei, Zhang, Yanfu
Applied energy 2019 v.251 pp. 113410
algorithms, carbon markets, economic dispatch, electricity, energy balance, energy flow, equipment, heat, models, natural gas, operating costs
The energy network is a hub center connecting the energy supply side and the energy demand side, which has high flexibility. At the same time, energy hub is the key to coupling different energy networks. Therefore, from the optimization of the output of the energy hub to the optimization of the coordinated operation state of the multi-energy network is the core of the regional integrated energy system operation optimization research. This paper focuses on the operation optimization of regional integrated energy systems based on modeling of Electricity-Thermal-Natural Gas Network. Firstly, a general model of Electricity network, Natural Gas network, and Thermal network is established, on this basis, according to the coupling mechanism of multi-energy network, a comprehensive model of Electricity-Thermal-Natural Gas coupling system is established. Secondly, considering the constraints such as energy balance and transmission power of external network, an economic dispatching model of regional integrated energy system considering ladder carbon trading mechanism is established with the objective of minimizing economic cost. Thirdly, Fruit Fly Optimization Algorithm is used to solve the economic dispatch model, and the optimization results of the energy hub are obtained. Combined with the general energy network model, the optimization results of each energy network are further obtained according to the characteristics of energy balance and energy flow transmission of the system, including equipment output, gas turbine efficiency, thermal medium velocity, etc. Finally, in order to illustrate the advantages of this method, “Following power load”, “Following heat load”, and “Optimal scheduling” are set up in the simulation, and the simulation results show that the total operation cost of “Optimal scheduling” mode is reduced by 8.44% and the environmental emission is reduced by 15.03% compared with the other two modes, and the technical and economic characteristics of “Optimal scheduling” mode have strong advantages in the three modes.