Two-Layer Optimization Scheduling Model of Integrated Electricity and Natural Gas Energy System Considering the Feasibility of Gas-Fired Units’ Reserve

Zhou, Xueting; Bao, Yu‐Qing; Ji, Tongzhou; Wang, Qi

doi:10.1109/access.2020.2976835

Cited by 6 publications

(3 citation statements)

References 23 publications

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“…The system's topology in this chapter is shown in Figure 2. The PIES consists of a radial power network with 14 nodes [41], a heating network with 11 nodes [42], and a natural gas pipeline network with 6 nodes [43]. The base voltage of the radial power network is 10 kV, with a base power of 0.3 MW.…”

Section: Pies Topologymentioning

confidence: 99%

Robust Bilevel Optimal Dispatch of Park Integrated Energy System Considering Renewable Energy Uncertainty

Wang,

Zheng,

Diao

et al. 2023

Energies

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This paper focuses on optimizing the park integrated energy system (PIES) operation, and a robust bilevel optimal dispatch is proposed. Firstly, the robust uncertainty set is constructed based on the K-means++ algorithm to solve the uncertainty of renewable energy sources output in PIES. Then, the bi-level dispatch model is proposed, with the operator as the leader and consumers as the follower. The upper model establishes an electricity-heat-gas integrated energy network, and the lower model considers the demand response of consumers. Optimizing the pricing strategies of energy sources to determine the output of each energy conversion equipment and the demand response plan. Moreover, analyzing the decision-making process of the robust bi-level model and the solution method is given. Finally, case studies show that the proposed dispatch model can increase operator profits and reduce consumers’ energy costs. The in-sample and out-of-sample simulations demonstrate that the proposed ellipsoid uncertainty set possesses high compactness, good robustness, and low conservatism.

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Section: Pies Topologymentioning

confidence: 99%

Robust Bilevel Optimal Dispatch of Park Integrated Energy System Considering Renewable Energy Uncertainty

Wang,

Zheng,

Diao

et al. 2023

Energies

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“…Except for all those above, as the scale of renewable energy accessed to IEGS gradually increased, the impact of renewable energy uncertainty on energy dispatching become nonnegligible [28]. In [29], uncertainty of renewable resources was handled with a non-probabilistic information gap method in virtual energy hub.…”

Section: A Related Workmentioning

confidence: 99%

Decarbonization Scheduling Strategy Optimization for Electricity-Gas System Considering Electric Vehicles and Refined Operation Model of Power-to-Gas

et al. 2021

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As the global warming crisis becomes increasingly serious, decarbonized integrated electricity-gas system (IEGS) which can reduce CO 2 emissions are gradually developed. However, with high proportion of renewable energy access, the inherent randomness and volatility bring great difficulties to energy scheduling optimization of decarbonized IEGS. In this article, for reducing CO 2 emissions, meanwhile improving the utilization efficiency of wind power, a novel IEGS architecture with collaborative operation of power-to-gas (P2G), carbon capture system (CCS) and electric vehicles (EVs) is constructed. P2G is operated in a refined model combined with H 2 storage and captured CO 2 by CCS can be further consumed in reaction of P2G. Besides, EVs are innovatively adopted in IEGS as flexible energy resource to reduce the impact of wind power fluctuations. Additionally, a multi-step day ahead-intraday collaborative optimization framework is proposed to handle with the uncertainty of wind power, more accurate predicted wind power can be adopted under this framework. The objective function of constructed IEGS is minimize the total operating costs, which takes the CO 2 processing costs and penalty costs of wind power deviations into consideration. Numerical studies are conducted with different cases, with the constructed structure and proposed multi-step optimization framework, the emissions of CO 2 can be efficiently reduced and wind power utilization can be significantly improved, the total operating costs of IEGS can be reduced more than 20% compared with other cases, which demonstrates that the research of this article has better economic benefits and environmental friendliness.INDEX TERMS CO 2 emissions reduction, Carbon capture system, Decarbonized integrated electricity-gas system, Power-to-gas, Uncertainty of wind power

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“…The coefficient matrix Z e is define in (11), as shown at the bottom of the next page. Energy-material flow model of the ESS is represented as (12), shown at the bottom of the next page, in the compact form.…”

Section: B Energy-materials Coupling Model Of Offshore Oil and Gas Platforms' Ies Considering Hessmentioning

confidence: 99%

Modeling of Integrated Energy System of Offshore Oil and Gas Platforms Considering Couplings Between Energy Supply System and Oil and Gas Production System

Mao

Liu

et al. 2020

IEEE Access

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The integrated energy system (IES) of offshore oil and gas platforms is a complex energy intensive system, which is composed of energy supply system (ESS), oil and gas production system (OGPS), diesel oil supply system (DOSS) and oil storage and transportation system (OSTS). Among them, ESS and OGPS are closely coupled and show a trend on stronger coupling due to implementation of new technologies, such as waste heat recovery and associated gas utilization. In order to reduce the operating cost and carbon emissions, an optimal operation model that considers their couplings is proposed. Firstly, based on the standardized matrix modeling method, subsystems inside OGPS and ESS are modeled individually and then combined, through which the model of the whole IES can be built. Then, representing this model as constraints, the optimal operation model of offshore oil and gas platforms' IES is proposed, together with constraints representing operational limitations of subsystems. Particularly, in the proposed model, couplings on heat, associated gas and electrical energy between OGPS and ESS are modeled, and hybrid energy storage system (HESS) is considered in modeling ESS, which is able to coordinate associated gas storage (AGS) and electricity storage (ES) in the optimal operation. INDEX TERMS Integrated energy system, offshore oil and gas platforms, standardized matrix model, optimal operation.

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Two-Layer Optimization Scheduling Model of Integrated Electricity and Natural Gas Energy System Considering the Feasibility of Gas-Fired Units’ Reserve

Cited by 6 publications

References 23 publications

Robust Bilevel Optimal Dispatch of Park Integrated Energy System Considering Renewable Energy Uncertainty

Robust Bilevel Optimal Dispatch of Park Integrated Energy System Considering Renewable Energy Uncertainty

Decarbonization Scheduling Strategy Optimization for Electricity-Gas System Considering Electric Vehicles and Refined Operation Model of Power-to-Gas

Modeling of Integrated Energy System of Offshore Oil and Gas Platforms Considering Couplings Between Energy Supply System and Oil and Gas Production System

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