Unified modelling of gas and thermal inertia for integrated energy system and its application to multitype reserve procurement

Sun, Wenlong; Wang, Qi; Ye, Yujian; Tang, Yi

doi:10.1016/j.apenergy.2021.117963

Cited by 17 publications

(6 citation statements)

References 33 publications

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“…where w is the inertia weight; c 1 and c 2 are the acceleration coefficients, respectively. The individual positions are updated by eqn (3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21).…”

Section: Bpso-cs Algorithmmentioning

confidence: 99%

“…Qu et al 20 proposed a new IES optimization model considering thermal inertia and natural gas inertia for the multivariate heterogeneity of energy sources in thermal and natural gas systems and verified that the model can effectively reduce the system operation cost and improve the system economy by constructing an arithmetic example. Sun et al 21 proposed a unified IES gas and thermal inertia model given that gas and thermal systems have similar slow dynamic characteristics and constructed arithmetic examples to verify the potential ability of the model in improving the flexibility and reliability of IES operation and reducing the system operation cost. Zhang et al 22 proposed an integrated power and district heating system dispatch model considering the thermal inertia of the district supply grid and the flexibility of generator operation and optimized the system with the objectives of system operational flexibility, economy, and improved wind power utilization.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Integrated energy system operation considering building thermal inertia and hydrogen storage systems

Wang¹,

Qin²,

Wang³

et al. 2023

Sustainable Energy Fuels

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Section: Bpso-cs Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Integrated energy system operation considering building thermal inertia and hydrogen storage systems

Wang¹,

Qin²,

Wang³

et al. 2023

Sustainable Energy Fuels

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show abstract

“…The detailed parameters of each generator such as generator type, capacity, cost coefficient, can carbon emission intensity are shown in Table 1 (Zimmerman et al, 2011;Nan et al, 2022a). The parameters of the WTG, CCUS and DSB to be planed are shown in Tables 2 (Mei et al, 2021;Zhong et al, 2021;Sun et al, 2022b;Gowd et al, 2023).…”

Section: Equipment Parametersmentioning

confidence: 99%

A bi-layer wind-CCUS-battery expansion stochastic planning framework considering a source-load bilateral carbon incentive mechanism based on the carbon emission flow theory

Deng,

Nan,

Feng

et al. 2023

Front. Energy Res.

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The rapid development of low-carbon energy technologies and energy storage technologies has provided an important and feasible path to decarbonizing the power system. In this context, there is an increasing number of studies on renewable energy, carbon capture, utilization and storage (CCUS) and energy storage expansion planning. However, most of the existing studies attribute the carbon responsibilities to the source side and a small number to the load side. Expansion planning studies that consider the overall carbon emissions of the system to be shared between the source and the load side are still relatively few. Therefore, it is necessary for the source and the load side to share the responsibility for the total system carbon emissions. To fill this research gap, this paper proposes a source-load bilateral carbon incentive mechanism for wind-CCUS-battery power systems based on the carbon emission flow theory. Besides, a bi-layer wind-CCUS-battery expansion stochastic planning framework considering wind and load uncertainties is constructed. The first layer takes the minimum expectation of power generation costs, fixed investment costs of wind turbines and CCUS units and carbon incentive costs as the objective function from a source-side perspective. The second layer takes the minimum battery investment cost and the expectation of electricity purchasing costs and load-side carbon incentive costs as the objective function from a load-side perspective. Finally, the proposed model is tested on the IEEE 24 bus power system for validity and advantage. The results show that the current high investment cost is not favorable to CCUS construction. At this time, the bilateral carbon incentive mechanism is more conducive to promoting system carbon reduction than the unilateral carbon incentive mechanism. In the future, as the cost of CCUS decreases, the source-side carbon incentive mechanism is more conducive to system carbon reduction than the bilateral carbon incentive mechanism. Due to the consideration of the stochastic uncertainty of wind turbines and loads, the research in this paper is closer to the reality, which can provide a reference for the future carbon emission reduction path of the power system, especially for the quantitative analysis of carbon emission reduction of CCUS, which is an important guiding significance for the promotion of the engineering practice of CCUS.

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“…Consequently, additional research is essential to enhance the modelling of heat networks and gas networks. In addition, reference [9] notes the scarcity of studies exploring the establishment of a unified model to delineate the intrinsic correlations between gas line pack and thermal inertia, aiming to enhance the precision and efficiency of operation optimization in IES.…”

Section: Introductionmentioning

confidence: 99%

Hierarchical optimal dispatching method of transmission system operators‐distribution system operators cooperated integrated energy system considering gas‐thermal equivalence model

Zhou,

Du,

et al. 2024

IET Renewable Power Gen

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The integrated energy system (IES) is moving towards the large‐scale cooperation between transmission system operators (TSO) and distribution system operators (DSO) with the coupling of electricity, heating, and gas networks. The conventional optimization method is not time‐efficient for solving such a large‐scale problem when taking account of the cooperation of TSO‐DSO of the IES. To solve such a problem, this paper proposed a hierarchical optimization framework for TSO‐DSO cooperated IES. To further improve the computation efficiency, the equivalent models of heating and gas system that retain the heating inertia characteristic and gas pipe storage characteristic are presented. A computation method for the TSO‐DSO cooperated IES is also proposed from the hierarchical distributed optimization perspective. The case study confirms the efficacy of the proposed gas‐thermal equivalent model in significantly enhancing computational speed. Furthermore, the proven effectiveness of the hierarchical distributed optimization approach in leveraging the full potential of flexible resources in transmission and distribution systems while safeguarding internal information privacy enables the development of robust dispatching strategies for each system.

show abstract

Unified modelling of gas and thermal inertia for integrated energy system and its application to multitype reserve procurement

Cited by 17 publications

References 33 publications

Integrated energy system operation considering building thermal inertia and hydrogen storage systems

Integrated energy system operation considering building thermal inertia and hydrogen storage systems

A bi-layer wind-CCUS-battery expansion stochastic planning framework considering a source-load bilateral carbon incentive mechanism based on the carbon emission flow theory

Hierarchical optimal dispatching method of transmission system operators‐distribution system operators cooperated integrated energy system considering gas‐thermal equivalence model

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