Data‐driven distributionally robust economic dispatch for park integrated energy systems with coordination of carbon capture and storage devices and combined heat and power plants

Wang, Yuqi; Gao, Song; Jia, Wenhao; Ding, Tao; Zhou, Zhengyang; Wang, Zekai

doi:10.1049/rpg2.12436

Cited by 18 publications

(4 citation statements)

References 42 publications

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“…The lower-level problem, denoted by Θ in (17), is formulated as an optimal power flow problem that aims to minimize both the production cost of the fast-acting units and power imbalance penalties. Note that all first-stage and uncertain variables can be considered constants in the lowerlevel problem.…”

Section: B the Proposed Aro Uc Modelmentioning

confidence: 99%

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Adaptive Robust Unit Commitment of Combined-Cycle Gas-Turbine Considering Mode-Based Modeling of Carbon Capture Plant

et al. 2023

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The power sector bears significant responsibility for achieving carbon neutrality. Low-carbon, high-flexibility generation technologies are pivotal in the generation mix of the foreseeable future. In this paper, a mixed-integer operation model of combined-cycle gas-turbine generators is developed, featuring a new mode-based modeling of post-combustion carbon capture plants. The model is applied to a day-ahead adaptive robust unit commitment problem considering wind power uncertainties. Numerical results from a case study on a modified 39-bus benchmark system demonstrate the correctness and practicality of the model. Compared to the linear model widely adopted in the literature, the proposed mode-based model achieves a 4.91% wider operating range in the net electric power output. Besides, the initial solvent ratio as a non-negligible parameter for the short-term operation of carbon capture plants, whose optimal setting leads to a wider operating range in the net electric power output of up to 21.96%.INDEX TERMS Adaptive robust optimization, Carbon capture plant, CCUS, Unit commitment.

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Section: B the Proposed Aro Uc Modelmentioning

confidence: 99%

“…Studies on the operation of integrated energy systems give rising prominence to CCPs as well. In [13]- [17], the carboncycle nexus was integrated into multi-period ED problems. The nexus includes new technologies such as supercritical carbon-cycle systems and waste incineration.…”

mentioning

confidence: 99%

Adaptive Robust Unit Commitment of Combined-Cycle Gas-Turbine Considering Mode-Based Modeling of Carbon Capture Plant

et al. 2023

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“…Renewable energy is a powerful pillar for addressing the energy crisis and achieving carbon neutrality, but it is characterized by uncertainties that can be handled through robust optimization (Zang et al, 2018;Zang et al, 2020;Wang et al, 2022). Reference (Sharma et al, 2021) developed a two-stage robust optimization model for multiple uncertainties in multi-energy buildings.…”

Section: Introductionmentioning

confidence: 99%

Decentralized robust optimal dispatch of user-level integrated electricity-gas-heat systems considering two-level integrated demand response

Miao

Jia

et al. 2022

Front. Energy Res.

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With the change of users’ energy consumption concept, the users are no longer rigid as the traditional inelasticity but can be flexible to carry out integrated demand response (IDR). The load has also been transformed from a traditional purely consumptive load to a new type of load that combines production and consumption with the improvement and popularization of renewable energy production technologies such as wind power and photovoltaic. In this paper, considering the IDR of loads and the uncertainty of renewable energy output, a decentralized robust optimal dispatch study is conducted on user-level integrated electricity-gas-heat systems (IEGHSs) composed of energy hubs (EHs) and some users. This paper firstly developed the comprehensive model of the user-level IEGHS, including the detailed mathematical model of EH, IDR, and users. Then, based on the established model, an optimal dispatching model is established with the goal of the lowest operating cost for the system. In order to cope with the uncertainty of the output of renewable energy equipment while protecting the security and privacy of different participants in the integrated energy system (IES), a decentralized robust algorithm is used to solve the model. Finally, the proposed model is analyzed and verified by an IES example composed of one EH and three users with the ability of IDRs, and the feasibility of the proposed model and algorithm is verified.

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“…At present, the energy uncertainty problem in IES has been actively studied in various literature. Depending on the uncertainty modelling approach, these studies can be divided into two types: (1) the deterministic models based on operating or contingency reserve requirements [11]; (2) the non‐deterministic models based on stochastic [12] or robust optimization [13]. Overall, enhancing operational flexibility is the foundation to deal with uncertainty [14].…”

Section: Introductionmentioning

confidence: 99%

Flexible dispatching method for park‐level integrated energy systems considering energy cascade utilization

Chen

Tai

et al. 2022

IET Generation Trans & Dist

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The complex energy conversion and the volatility of renewable energy/load bring great challenges to the operation of the park‐level integrated energy system (PIES). To overcome this challenge, this paper proposes a multi‐timescale flexible dispatching method to fully exploit the flexibility of PIES in the energy cascade utilization mode. The cascade utilization model for energy flow is firstly established to analyse the coupling and complementary of heterogeneous energy. On this basis, the supply‐demand general equations of multi‐energy flexibility are proposed, which accurately quantify the ability to cope with uncertainty through mutual flexibility. Through coordinated complementation and mutual exchange of multi‐grade flexibility, the system realizes the suppression of random power fluctuations. The scheduling model includes day‐ahead dispatch and intraday multi‐time scale dispatch, which can satisfy the adjustment speed requirements of different energy. Numerical results demonstrate that the proposed method effectively enhances the flexibility and economy of system operation. The flexible demand for energy of all grades can be satisfied. Compared with the flexible dispatch in the triple energy supply structure, the operating cost is reduced by 9.07%.

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Data‐driven distributionally robust economic dispatch for park integrated energy systems with coordination of carbon capture and storage devices and combined heat and power plants

Cited by 18 publications

References 42 publications

Adaptive Robust Unit Commitment of Combined-Cycle Gas-Turbine Considering Mode-Based Modeling of Carbon Capture Plant

Adaptive Robust Unit Commitment of Combined-Cycle Gas-Turbine Considering Mode-Based Modeling of Carbon Capture Plant

Decentralized robust optimal dispatch of user-level integrated electricity-gas-heat systems considering two-level integrated demand response

Flexible dispatching method for park‐level integrated energy systems considering energy cascade utilization

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