Real-time quantification for dynamic heat storage characteristic of district heating system and its application in dispatch of integrated energy system

Gou, Xing; Chen, Qun; He, Ke-Lun

doi:10.1016/j.energy.2022.124960

Cited by 12 publications

(2 citation statements)

References 19 publications

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“…To ensure a successful alliance of multicommunity cooperative alliance, a profit allocation mechanism based on the improved Shapley value was proposed to reallocate the excess return fairly. Gou et al 7 proposed a novel quantification method combining system operation simulation and dichotomy method to evaluate the real‐time heat storage characteristic of DHS, where such indicators as heat shifting capability, and available storage/release capacity and depth are defined. Yang et al 8 proposed a rolling optimization planning framework and model of an integrated energy system considering compressed air energy storage and sliding time window‐based electric and heating integrated response demand, which can obtain both optimal resource configuration and energy management strategy.…”

Section: Introductionmentioning

confidence: 99%

Strategic optimization operations in the integrated energy system through multitime scale comprehensive demand response

Zheng,

Hou,

et al. 2024

Energy Science & Engineering

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In the context of the dual carbon goal strategy, the proportion of new energy generation has increased annually, large‐scale renewable energy integration has been achieved, and the intermittent and uncertain operating characteristics pose an enormous challenge to the complete and stable operation of an integrated energy system (IES), promoting the complexity of IES optimization models. To increase the stability and accuracy of the system and improve the operation efficiency of the system, a Gaussian mixture model is used to fit the probability distribution of wind power and the prediction errors of the photovoltaic output. In addition, the expected maximization method is used to solve a model with hidden variables, the results show that the expectation maximization algorithm can improve the fitting accuracy, reduce the error caused by the subjective setting of the initial value, and make the fitting accuracy of the wind‐solar power prediction error greater. Then, to solve the problem in which the low resolution of the day‐ahead scheduling time leads to large errors, day‐ahead, day‐to‐day multitime scale operation optimization model takes into account the comprehensive demand response according to the differences in wind and solar output and load forecasting accuracy. Finally, simulation validation is conducted in multiple scenarios, and a comparative analysis is performed for single and multitime scale comprehensive demand response scenarios. The simulation results show that compared with the optimization results of no demand response day, the optimization results of this model reduce the total cost by 23.21%, carbon emissions by 13.98%, purchased electricity by 13.87%, and purchased gas by 19.31%, effectively improving the use of gas turbines in the system. The multitime scale scheduling strategy increases the overall operating cost of the IES, modifies the scheduling results, and agrees with real operating scenarios.

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Section: Introductionmentioning

confidence: 99%

Strategic optimization operations in the integrated energy system through multitime scale comprehensive demand response

Zheng,

Hou,

et al. 2024

Energy Science & Engineering

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“…The experiments conducted in [30] demonstrated that these errors can be significant during specific periods. Hao et al [31][32][33][34] employed the heat current method to model the district heating network. They applied Ohm's law and Kirchhoff's law to deduce the corresponding heat transport matrix and proposed a basic thermal-electric analogy circuit for each fluid element.…”

Section: Introductionmentioning

confidence: 99%

Coordinated Optimal Dispatch of Electricity and Heat Integrated Energy Systems Based on Fictitious Node Method

Zeng,

Wang,

Wan

2023

Energies

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In an electricity and heat integrated energy system, the transmission of thermal energy encounters significant delays, and the delays are often not integer multiples of the dispatch interval. This mismatch poses challenges for achieving coordinated dispatch with the electric power system. To address this problem, the fictitious node method is proposed in this paper, offering a novel approach to calculating the quasi-dynamic characteristics of the heating network. Furthermore, to enhance the local consumption capacity of wind power, the heat storage capacity of the heat supply network was taken into consideration in this study, and a combined energy supply model equipped with electric boilers, incorporating combined heat and power (CHP) units and gas turbine units, was developed. This model effectively expands the operational range of CHP units and enables the decoupling of electricity and heat operations in gas turbine units. The analysis conducted demonstrated the effectiveness of the proposed method and model in achieving the coordinated dispatch of electricity and heat. Moreover, it highlighted the positive impact on the overall economy of system operation and the promotion of wind power consumption. The optimal configuration presented in this paper resulted in an 8.2% improvement in system operating economics and a 38.3% enhancement in wind power integration.

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Heat flow topology-driven thermo-mass decoupling strategy: Cross-scale regularization modeling and optimization analysis

Cao,

Wang,

Tang

et al. 2024

Applied Energy

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Real-time quantification for dynamic heat storage characteristic of district heating system and its application in dispatch of integrated energy system

Cited by 12 publications

References 19 publications

Strategic optimization operations in the integrated energy system through multitime scale comprehensive demand response

Strategic optimization operations in the integrated energy system through multitime scale comprehensive demand response

Coordinated Optimal Dispatch of Electricity and Heat Integrated Energy Systems Based on Fictitious Node Method

Heat flow topology-driven thermo-mass decoupling strategy: Cross-scale regularization modeling and optimization analysis

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