Abstract
The Electricity-Heat-Gas Integrated Energy System (EHG-IES) is important for achieving carbon neutrality. However, the uncertainty of wind power and photovoltaic (PV) output has a large impact on EHG-IES scheduling optimization. In order to solve this problem, a robust scheduling optimization method considering the uncertainty of wind power and PV output and the coupling relationship of each device in EHG-IES is proposed. In the proposed optimization method, the uncertainty of wind power and PV output is described by an additive maximum uncertainty set. Then, the day-ahead scheduling optimization model is proposed based on the coupling relationship of each equipment and electric vehicle (EV) traveling demand. Also, the proposed model is introduced in detail. The simulation is verified by a park calculation example. The economy and accuracy of the proposed method in this paper are verified by comparing the robust optimization results under different uncertainties with stochastic optimization. For robust parameters of 20% and 10%, the economic cost is 1.016% and 1.041% lower than that of the stochastic optimization. Meanwhile, the proposed method can improve the economy of the EHG-IES and realize the economic and safe operation of the EHG-IES under the consideration of EVs and heating storage equipment.
Highlights
As the Energy Internet (EI) flourishes globally, renewable energy and its equipment technologies have been further developed. e Electricity-Heat-Gas (EHG) Integrated Energy System (EHG-IES) can improve energy utilization and reduce carbon emissions to achieve sustainable development [1, 2].e Electricity-Heat-Gas Integrated Energy System (EHG-IES) scheduling optimization problem has been studied by a large number of local and abroad scholars
Natural gas is fed into the electric and heating networks through microgas turbines (MT) and gas boilers (GB), respectively. e MT provides the required electricity to the customer and is capable of recovering the high-temperature waste heat gas from operation through a waste heat boiler (WHB) and producing heat through a heat exchanger (HE). e heating from the waste heat recovery unit and the GB is supplied to the heating load through the HE, or the heating load can be supplied by the electric boiler (EB) when the electricity price is low
For heat storage devices, they are mainly discharged at night. is is because people are at rest time at night and need to release heat energy
Summary
As the Energy Internet (EI) flourishes globally, renewable energy and its equipment technologies have been further developed. e Electricity-Heat-Gas (EHG) Integrated Energy System (EHG-IES) can improve energy utilization and reduce carbon emissions to achieve sustainable development [1, 2]. The role of electric, heating, and cooling energy storage is analyzed; the uncertainty of RES output is not considered [15]. Considering the uncertainty of RES output, there are few studies on the coupled scheduling between different energy sources. Ere are two problems that need to be solved: (1) e role of different energy storage devices under the uncertainty of RES output has not been analyzed in EHG-IES. A day-ahead robust optimization model that simultaneously considers the uncertainty of RES output and different energy storage devices is proposed. (1) Based on the uncertainty of RES output by using the uncertainty set containing addition, the robust dayahead scheduling model of EHG-IES is established by considering the coupling characteristics between different energy storage devices.
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