Optimal low‐carbon scheduling of integrated local energy system considering oxygen‐enriched combustion plant and generalized energy storages

Chen, Changming; Wu, Xiaogang; Ma, Jien; Chen, Yuge; Liu, Shengyuan; Wu, Xinhua; Ji, Qingfeng; Ye, Jieyang; Yang, Li; Lin, Zhenzhi

doi:10.1049/rpg2.12342

Cited by 19 publications

(7 citation statements)

References 32 publications

(42 reference statements)

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“…Equation (11) highlights that the objective function contains an integral term, and the model is a non-linear problem that cannot be solved directly, thereby requiring solvability. The non-linear objective function can be transformed into a linear problem by linearizing the probability density curve via segment linearization.…”

Section: Model Solving Pre-processingmentioning

confidence: 99%

“…Extensive research has been conducted on the optimization of carbon emissions in IES, considering environmental benefits and economic costs. IES can promote new energy consumption and reduce carbon emissions by introducing green certificate trading (GCT) [8,9] and carbon emissions trading (CET) [10,11]. GCT primarily aims to achieve a minimum quota for new energy consumption in the system.…”

Section: Introductionmentioning

confidence: 99%

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Tri‐layer low‐carbon distributed optimization of integrated energy systems based on hybrid games under stochastic scenarios

Yue,

Liu,

et al. 2023

IET Generation Trans & Dist

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The low‐carbon development of integrated energy systems is achieved via the sharing of multiple energy interactions by park‐level IES (PIES).However, coordinating profit distribution conflicts among complex interactive stakeholders in stochastic scenarios is challenging. Accordingly, this study proposes a novel tri‐layer framework that aggregates different game mechanisms to investigate the interactions between PIESs and coupled energy markets. First, a linkage trading mechanism is proposed by integrating carbon emissions trading and green certificate trading, which establishes a coupled electricity‐carbon‐green certificate market. Consequently, a park aggregation operator acts as an intermediary between PIESs and the coupled market, setting upper‐level purchase and sale prices to guide unit generation in each PIES using the Stackelberg game theory. Subsequently, the Nash game theory is applied to realize cooperative bargaining among PIESs for a fair revenue distribution. Further, the impact of uncertain environments is considered by utilizing stochastic scenario methods and the conditional value‐at‐risk theory. To protect the privacy of each participating agent while improving the convergence speed, a differential evolutionary method is combined with analysis target cascading to solve the framework. Finally, the proposed scheduling method is validated by utilizing a typical case to optimize conflicting PIES interests in multiple scenarios and realize decarbonisation.

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Section: Model Solving Pre-processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Tri‐layer low‐carbon distributed optimization of integrated energy systems based on hybrid games under stochastic scenarios

Yue,

Liu,

et al. 2023

IET Generation Trans & Dist

View full text Add to dashboard Cite

show abstract

“…The active power delivery and usage on any branch in the power system corresponds to a certain amount of carbon dioxide emission. By establishing the concept of carbon emission flow, the responsible party of carbon emission can be extended from the generation side to the line side and the user side, and the carbon emission measurement of the whole link of the power system, i.e., the carbon emission measurement results of the generation side, the transmission line network loss and the user side, can be obtained, so as to realize more scientific and fair sharing of the responsibility of carbon emission [19][20].…”

Section: Carbon Emission Streams and Carbon Emission Intensitymentioning

confidence: 99%

A Whole-Segment Carbon Measurement Approach for Energy Systems Incorporating Knowledge Mapping Techniques

Li,

Liu,

Zhang

et al. 2023

Applied Mathematics and Nonlinear Sciences

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As the current carbon measurement method makes it difficult to reflect the time-space variability of carbon emission factors, it leads to the inability to clarify the carbon emission responsibility of grid-side losses. In this paper, starting from the internal power system, based on the power system carbon emission flow analysis theory and knowledge graph technology, a trend-tracking analytical algorithm based on the node conductivity matrix operation is proposed to solve the complex power allocation relationship between each generating unit and each node load, and between each generating unit and the line network loss. On the basis of this algorithm, the carbon flow tracking model of the whole power system is established according to the conversion relationship between the current and the carbon flow, and the analytical expressions of the carbon emission distribution among the power generation side, the load side and the line loss are obtained by combining with matrix operation, so as to measure the carbon emission measurement results of the whole power system and to provide data references for the responsibility sharing of carbon emission. Finally, simulation verification is carried out based on the actual system operation and load data for C city. The total amount of carbon emissions from electricity consumption is 98.8 million tCO2 when C city is used as the minimum spatial scale, while the total amount of carbon emissions from electricity consumption is 67.9 million tCO2, 14.0 million tCO2, 16.9 million tCO2, and the total amount of the three regions is 98.8 million tCO2, which is consistent with that calculated when C city is used as the minimum spatial scale. The calculation results are consistent in real-time. The carbon measurement method proposed in this paper can obtain higher spatial resolution carbon measurement results for electricity consumption.

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“…For the device-side flexible resources, multi-energy storage devices consist of heat storage devices, gas storage devices, etc; multi-energy coupling devices are composed of electric heaters, P2G devices, etc. Some references such as [75,76,88] have verified that these device-side flexible resources can also enhance the flexibility of multi-energy system scheduling. More specifically, multi-energy storage devices can store multi-energy for standby during normal times and supply multi-energy after an outage.…”

Section: Power System Restoration Considering the Participation Of Fl...mentioning

confidence: 99%

Review of restoration technology for renewable‐dominated electric power systems

Chen

Liang

Zhai

et al. 2022

Energy Conversion and Econom

Self Cite

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With the rapid development of renewable energy generation and multi‐energy system technologies, reviewing and discussing the emerging power system restoration methods and key technologies suitable for renewable‐dominated electric power systems and the Energy Internet are important. Based on this, the backgrounds of renewable‐dominated electric power systems and the Energy Internet are first introduced here. Subsequently, the power system restoration process is divided into three phases: the black‐start, network reconfiguration, and the load restoration phases; relative restoration strategy research on these three phases is reviewed. Moreover, the boundaries between these three phases are occasionally not sufficiently apparent or even cross in most cases owing to the severity of blackouts and other various factors. Therefore, the key technologies for power system restoration considering multiple phases are analysed in detail. Moreover, the major gaps between existing research and real‐world applications and the outlooks on the restoration technologies under renewable‐dominated electric power systems are discussed.

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Optimal low‐carbon scheduling of integrated local energy system considering oxygen‐enriched combustion plant and generalized energy storages

Cited by 19 publications

References 32 publications

Tri‐layer low‐carbon distributed optimization of integrated energy systems based on hybrid games under stochastic scenarios

Tri‐layer low‐carbon distributed optimization of integrated energy systems based on hybrid games under stochastic scenarios

A Whole-Segment Carbon Measurement Approach for Energy Systems Incorporating Knowledge Mapping Techniques

Review of restoration technology for renewable‐dominated electric power systems

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