Operation optimization of regional integrated energy systems

Tang, Wentao; Wang, Bozhao; Wang, Fulin; Tian, Yuan; Zou, Yunfeng

doi:10.1002/ese3.1596

Cited by 2 publications

(1 citation statement)

References 14 publications

(22 reference statements)

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“…Ni, Linna et al [15] designed an integrated IDR scheme, which induced the rational utilization of multiple energy sources and the efficient consumption of renewable energy. Tang, Wentao et al [16] analyzed the impacts of DR of transferable loads, curtailable loads, and substitutable load demands on system operations based on the optimal dispatch model of the regional integrated energy system (RIES), and the results showed that the application of demand DR can improve the energy efficiency of the system. The IDR in Yang, Haizhu et al [17]'s study builds a demand response optimal dispatch model by describing the response of price and substitution response, and the results show that it can satisfy the system supply-demand balance, and at the same time, it can inhibit the stochastic fluctuation of renewable energy and load and improve the stability.…”

Section: Introductorymentioning

confidence: 99%

Optimal Scheduling Considering Carbon Capture and Demand Response under Uncertain Output Scenarios for Wind Energy

Sun,

Zou,

Wen

et al. 2024

Sustainability

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In light of the uncertainties associated with renewable energy sources like wind and photovoltaics, this study aims to progressively increase their proportion in the energy mix. This is achieved by integrating carbon capture devices into traditional thermal power plants and enhancing demand-side management measures, thereby advancing low-carbon objectives in the energy and electricity sectors. Initially, the research proposes utilizing the K-means clustering algorithm to consolidate and forecast the fluctuating outputs of renewable energies such as wind and photovoltaics. Further, it entails a comprehensive analysis of low-carbon resources on both the supply and demand sides of the electricity system. This includes installing carbon storage and power-to-gas facilities in carbon capture plants to create a versatile operating model that can be synchronized with wind power systems. Additionally, the limitations of carbon capture plants are addressed by mobilizing demand-side response resources and enhancing the system’s low-carbon performance through the coordinated optimization of supply and demand resources. Ultimately, this study develops an integrated energy system model for low-carbon optimal operation, aimed at minimizing equipment investment, carbon emission costs, and operational and maintenance expenses. This model focuses on optimizing the load and supply distribution plans of the electrical system and addressing issues of load shedding and the curtailment of wind and solar power. Validation through three typical scenarios demonstrates that the proposed scheduling method effectively utilizes adjustable resources in the power system to achieve the goal of low-carbon economic dispatch.

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Section: Introductorymentioning

confidence: 99%

Optimal Scheduling Considering Carbon Capture and Demand Response under Uncertain Output Scenarios for Wind Energy

Sun,

Zou,

Wen

et al. 2024

Sustainability

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Data‐Driven Detection of Integrated Energy Theft Based on VMD‐MIC and Informer

Liu,

Wang,

Liu

et al. 2024

Advcd Theory and Sims

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Integrated energy systems (IES) may experience energy theft through disinformation injection attacks. With electricity as the primary target, the attacks are essentially two way. They gain additional benefits by manipulating meter readings on both the consumer and supply side. Regression based deep learning models with feature engineering can be used to detect these attacks. To detect energy theft more efficiently, this paper proposes an integrated energy systems theft detection (IESTD) based on variational modal decomposition‐maximal information coefficient (VMD‐MIC) and Informer. And using kernel density estimation (KDE), the error between the predicted and true values is fitted as a probability density function (PDF).The thresholds for the confidence intervals of the PDF and the thresholds for the number of outliers are set as the detection metrics. Simulations are performed on the three generated datasets. The results show that the model has good detection accuracy and strong robustness.

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Operation optimization of regional integrated energy systems

Cited by 2 publications

References 14 publications

Optimal Scheduling Considering Carbon Capture and Demand Response under Uncertain Output Scenarios for Wind Energy

Optimal Scheduling Considering Carbon Capture and Demand Response under Uncertain Output Scenarios for Wind Energy

Data‐Driven Detection of Integrated Energy Theft Based on VMD‐MIC and Informer

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