Coordinated optimization scheduling operation of integrated energy system considering demand response and carbon trading mechanism

Yang, Peng; Jiang, Hui; Liu, Chunming; Kang, Lan; Wang, Chunling

doi:10.1016/j.ijepes.2022.108902

Cited by 56 publications

(8 citation statements)

References 21 publications

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“…Conversely, during wind power insufficiency, chemical energy can be transformed into electrical energy to bridge the demand gap while reducing pollution and carbon emissions. The integrated energy system effectively overcomes barriers between various levels of diverse energy networks, facilitating “vertical coordination of source, network, load, and storage, and horizontal multi‐energy complementarity” [15]. The fundamental structure of the integrated energy system is depicted in Figure 1.…”

Section: Source‐grid‐load‐storage Cooperative Optimal Dispatch Model ...mentioning

confidence: 99%

Collaborative and effective scheduling of integrated energy systems with consideration of carbon restrictions

Meng,

Xu,

Luo

et al. 2023

IET Generation Trans & Dist

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To address the balancing challenge of real‐time power demand and supply in power systems caused by unpredictable output fluctuations of renewable energies, collaborative and effective scheduling of integrated energy systems is proposed with consideration for carbon restrictions. The model incorporates various energy resources, including cold, heat, electricity, and gas, and overcomes the barriers among different levels of heterogeneous energy grid systems. This makes it possible to coordinate the vertical complementarity of source‐grid‐load‐storage and the horizontal complementarity of multi‐energy while taking into account investment costs and carbon trading to achieve the economic operation of the system. This analysis shows that the proposed model can dissipate the excess of new energy generation from the grid. and achieve a balance between supply and demand, while effectively reducing the economic operation cost of the whole system.

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Section: Source‐grid‐load‐storage Cooperative Optimal Dispatch Model ...mentioning

confidence: 99%

Collaborative and effective scheduling of integrated energy systems with consideration of carbon restrictions

Meng,

Xu,

Luo

et al. 2023

IET Generation Trans & Dist

View full text Add to dashboard Cite

show abstract

“…It sets a target value of carbon emission according to a certain proportion of power generation in the region, and implements reward and punishment measures according to the difference between the actual carbon emission and the target value. In this study, the baseline method is used to allocate the carbon emission target value, and it can be formulated as follows [31]:…”

Section: Upper-level Modelmentioning

confidence: 99%

\begin{equation}{E_{\mathrm{L}}} = \sum_{t = 1}^T {\varepsilon (\sum_{j = 1}^{{N_{\mathrm{G}}}} {P_{\mathrm{G}}^{j,t}} + \sum_{m = 1}^{{N_{{\mathrm{RE}}}}} {P_{{\mathrm{RE}}}^{m,t}} )} \end{equation}

where

{E_{\mathrm{L}}}

is the total regional carbon emission target value;

\varepsilon

is the quota coefficient for carbon emissions.…”

Section: Bi‐level Low‐carbon Economic Dispatching Modelmentioning

confidence: 99%

Bi‐level optimization of multi‐regional power system considering low‐carbon oriented synergy of both source and load sides

Liao,

Liu,

et al. 2023

IET Renewable Power Gen

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The expansion of low‐carbon power generation has led to increased complexity in the dispatching mode of the power system. To achieve low‐carbon economic operation for multi‐regional power systems, this study proposes a decentralized dispatch architecture and a bi‐level low‐carbon economic dispatching (LCED) model. At the upper level, the model proposes a carbon emission constraint mechanism that is tailored to the coordinated operation of multiple regions, aiming to minimize the total operating cost. At the lower level, the model considers the reduction of carbon emission obligation on the load side and introduces the carbon emission flow (CEF) theory to calculate the degree of reduction in carbon emission intensity. To accommodate the decentralized autonomy and information privacy of different regions, a distributed alternating direction method of multipliers (D‐ADMM) algorithm is adopted to solve the upper‐level problem for the multi‐regional power system, enabling the fully distributed solution of the bi‐level optimization problem. Finally, the effectiveness of the proposed bi‐level model is validated through a case study on the modified IEEE 39‐bus system, which demonstrates that the model can significantly reduce carbon emissions and improve the level of renewable power consumption.

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“…The majority of research has focused on leader-follower games, specifically non-cooperative games. In [17][18][19][20][21][22] have established Stackelberg game frameworks, analyzing leader-follower relationships between users and energy aggregators to maximize profits for different entities, providing valuable insights for transactions and operations in the integrated energy market. In cooperative games, In [19] considers fairness in profit distribution among parties, employing Shapley value and interactive rights contribution methods for computation and validating the model's effectiveness.…”

Section: Introductionmentioning

confidence: 99%

Research on Optimization and dispatch of Non cooperative Games among Four Parties in the Comprehensive Energy Market under the Mapping of Stepped Carbon Tax

Zhang,

2024

Preprint

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Within the context of the global "dual-carbon" policy, the study explores the low-carbon energy transactions among diverse entities in the comprehensive energy market and the constraints imposed by the design of tiered carbon tax policies. This has emerged as a research hotspot in the field of low-carbon economic dispatch. The paper comprehensively examines the coupled relationship between the energy consumption and corresponding carbon emission factors among four entities: microgrid energy operators, flexible shared energy storage, electric to heat transfer operator, and community aggregator. It maps the corresponding energy prices into the interests of a non-cooperative game among entities, thereby guiding each entity to achieve a balance between carbon emissions and economic costs. The paper utilizes an enhanced genetic-particle swarm hybrid algorithm for solving and validates the effectiveness of the dispatch strategy by analyzing the marginal and cumulative effects generated by the design of tiered carbon tax policies. The findings indicate that under continuous tiered carbon tax mapping, the formulation strategy of electricity and heat prices has been further optimized, balancing the interests of the four entities, and effectively enhancing the integration of new energy while reducing the output of fossil energy units.

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Coordinated optimization scheduling operation of integrated energy system considering demand response and carbon trading mechanism

Cited by 56 publications

References 21 publications

Collaborative and effective scheduling of integrated energy systems with consideration of carbon restrictions

Collaborative and effective scheduling of integrated energy systems with consideration of carbon restrictions

Bi‐level optimization of multi‐regional power system considering low‐carbon oriented synergy of both source and load sides

Research on Optimization and dispatch of Non cooperative Games among Four Parties in the Comprehensive Energy Market under the Mapping of Stepped Carbon Tax

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