Optimal Dispatch of an Integrated Energy System Considering Carbon Trading and Flexible Loads

Lin, Zihan; Yuan, Ying; Wen, Fushuan; Chen, Fei; Zhang, Lijun; Xu, Chenbo

doi:10.1109/pesgm40551.2019.8973715

Cited by 6 publications

(3 citation statements)

References 12 publications

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“…A previous study (Xiao et al, 2018) introduced carbon trading into an electricity-gas IES, proving that carbon trading is conducive to the development of a low-carbon economy. The case of (Lin et al, 2019) indicates that the establishment of a carbon trading market is beneficial to the grid connection of clean units. Lu et al (2021) put forward an operational model based on taking full advantage of the user demand response and carbon trading mechanism for lowcarbon scheduling of IES.…”

Section: Maximum Electrical Power Of Gc Unit P Gc Eminmentioning

confidence: 99%

Optimal dispatch of low-carbon integrated energy system considering nuclear heating and carbon trading

Gao

et al. 2022

Journal of Cleaner Production

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Section: Maximum Electrical Power Of Gc Unit P Gc Eminmentioning

confidence: 99%

Optimal dispatch of low-carbon integrated energy system considering nuclear heating and carbon trading

Gao

et al. 2022

Journal of Cleaner Production

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“…Owing to low pollution and high energy efficiencies, the CIES has an absolute cost advantage in carbon trading, which also has an indirect positive impact on the energy market [106]. Previous studies transferred the low-carbon effect as a single factor, variable, or constraint [107] to CIES scheduling and trading [108] as either flat [109] or laddertype carbon prices. According to the carbon emission flow theory, the carbon footprint of communities is equal to the input energy multiplied by the corresponding carbon intensity [107], [110], and the constrained carbon emission cap can limit carbon emissions from the demand side, which is accounted for by multiple energy systems.…”

Section: Minimize Operational Costsmentioning

confidence: 99%

Community Integrated Energy System Trading: A Comprehensive Review

Chen

Yang

et al. 2022

Journal of Modern Power Systems and Clean Energy

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Focused on life, consumption, and leisure, communities have been regarded as the basic unit of energy use in a city owing to rapid urbanization, whose energy use density continues to increase. Moreover, community integrated energy systems (CIESs) in the rapid development stage have become embedded, small, and self-sufficient energy ecosystems within cities because of their environmental and economic benefits. CIESs face a competitive energy trading environment that comprises numerous entities and complicated relationships. This paper presents an extensive review of various issues related to CIES trading. First, the concepts, types, and resources of CIESs are described. Second, the trading patterns and strategies of CIESs are reviewed from the four perspectives of the trading objects: community-to-peer (C2P), peer-to-peer (P2P), community-to-community (C2C), and community-to-grid (C2G). Third, a tri-layer trading framework and the features of CIESs that participate in combined multienergy markets are proposed. Last, the key issues in CIES trading are summarized.

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“…The former is mainly responsible for declaration, clearance and settlement, and the latter is mainly responsible for security check, congestion management and transaction execution. All transaction intentions need to pass the security check of the dispatch center to finally form a transaction plan [20][21].…”

Section: A Weak Centralized Architecture Based On Substation Autonommentioning

confidence: 99%

Research on Block-Chain-Based Intelligent Transaction and Collaborative Scheduling Strategies for Large Grid

Wang

2020

IEEE Access

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In view of the problems of large-grid-level centralized transactions and dispatch centers with information asymmetry and high processing costs, a completely decentralized transaction architecture and a weak centralized scheduling strategy based on block-chain are proposed. Firstly, the concepts of transaction decentralization and scheduling decentralization are defined, and the reliability of distributed transaction communication is studied. Built a blockchain transaction risk control model based on the communication credit consensus mechanism. Secondly, under the weakly centralized scheduling architecture based on the autonomous chain of substations, security checks are performed, and temporary central nodes are set up to perform scheduling tasks. Finally, an improved evolutionary game algorithm is used to solve the above model, and the optimal solution is obtained by dynamically updating the credibility. INDEX TERMS Block-chain, large grid, intelligent trading, collaborative scheduling

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Optimal Dispatch of an Integrated Energy System Considering Carbon Trading and Flexible Loads

Cited by 6 publications

References 12 publications

Optimal dispatch of low-carbon integrated energy system considering nuclear heating and carbon trading

Optimal dispatch of low-carbon integrated energy system considering nuclear heating and carbon trading

Community Integrated Energy System Trading: A Comprehensive Review

Research on Block-Chain-Based Intelligent Transaction and Collaborative Scheduling Strategies for Large Grid

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