Multi-Energy Flow Modeling and Optimization of Electric-Gas-Thermal Integrated Energy System

doi:10.16183/j.cnki.jsjtu.2022.494

Abstract

Abstract:

In view of the fact that the conversion of various energy forms such as electricity, gas, and heat in the regional integrated energy system (RIES) seriously affects the economy of the system operation, a mathematical model and an optimization model of RIES energy flow are established to improve the economy of the system and the absorption of renewable energy. First, the mathematical models of all kinds of energy conversion equipment in the system are established to determine the constraints of three kinds of energy transmission networks, namely electricity, natural gas, and heat. Then, taking economic operation as the primary objective, and taking into account the objective function of low carbon emissions and increasing the uptake rate of renewable energy, the RIES multi-energy flow optimization model is constructed. Finally, based on the large-scale integrated energy system, the load side demand response is introduced and the simulation model is established. The simulation results show that the introduction of demand response improves the flexibility of system scheduling, reduces the dependence of the system on energy storage equipment, and effectively reduces the energy consumption cost of users.

Key words: regional integrated energy system (RIES), multi-energy flow, linearization, demand response

CLC Number:

TM732

LI Bingjie, YUAN Xiaoyun, SHI Jing, XU Huachi, LUO Zixuan. Multi-Energy Flow Modeling and Optimization of Electric-Gas-Thermal Integrated Energy System[J]. Journal of Shanghai Jiao Tong University, 2024, 58(9): 1297-1308.

Figures/Tables 17

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时段	负荷电价/[元/(kW·h)^-1]
0:00—7:00,22:00—24:00	0.25
7:00—8:00,12:00—18:00	0.38
8:00—12:00,18:00—22:00	0.65

场景	火电机组成本	天然气费用	设备费用	弃风弃光惩罚成本	碳排放惩罚成本	总成本
无需求响应	3.7494	696.93	1.9233	0.000006	0.2522	702.8549
有需求响应	3.4414	689.93	1.9232	0.000003	0.2548	695.5494