Low-carbon economic planning of integrated electricity-gas energy systems

Xiang, Yue; Guo, Yongtao; Wu, Gang; Liu, Junyong; Sun, Wei; Lei, Yutian; Zeng, Pingliang

doi:10.1016/j.energy.2022.123755

Cited by 40 publications

(6 citation statements)

References 24 publications

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“…The core lies in the objectives and constraints of the optimal planning model and the design of optimisation algorithms. Specifically, the planning objectives mainly include several categories: (1) economic attributes such as investment cost [10], operating cost [11]; (2) network loss [12], operational risk [13], system voltage deviation [14], system reliability [15], and other technical attributes; (3) greenhouse gas emissions [16], carbon emission index [17], and other environmental attributes.…”

Section: Classic Planning Methodsmentioning

confidence: 99%

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Optimal planning of distribution network with transactive energy: Review and framework

et al. 2023

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With the emergence of distributed energy resources (DER) and prosumers in the distribution networks, the traditional centralised operation structure has transformed into the decentralised operation and transaction structure, which is regarded as the transactive energy market. Furthermore, the planning problem in the distribution network is deeply affected by the transactive energy market. First, the literature and studies on distribution network planning with DERs are reviewed. Moreover, the multi‐stakeholder operation and planning framework under the transactive energy market are analysed. The transactive energy market provides a peer‐to‐peer (P2P) transaction for third‐party prosumers. Several techniques for multi‐stakeholders planning and P2P transaction are introduced. Finally, a tri‐layer distribution network expansion planning (DNEP) framework integrated with virtual P2P transactions is proposed and analysed to accommodate uncertainties and postpone investment. The key technology and difficulties are also discussed.

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Section: Classic Planning Methodsmentioning

confidence: 99%

“…constraints, economic constraints, and uncertainty constraints. The electrical constraints include DG output limit, energy balance, energy flow limit, and DG voltage stability [10,[13][14][15][16][17]. The operational performance constraints include system reliability, sufficiency, connectivity and other requirements [15,18].…”

Section: Classic Planning Methodsmentioning

confidence: 99%

Optimal planning of distribution network with transactive energy: Review and framework

et al. 2023

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“…where B  represents a set of nodes in the power system. Finally, the carbon price of each node , c,e it  is established according to the price of the superior carbon market CEA  , as shown in (3).…”

Section: Carbon Flow-led Nodal Carbon Pricing Modelmentioning

confidence: 99%

“…At the present stage, academic circles consider that carbon trading of prosumers usually directly depends on the price of the upper carbon market, ignoring the subjective initiative of consumers themselves, which limits the effect of carbon emission reduction. Researchers have conducted a survey on carbon emissions in the market and concluded that increasing carbon prices is associated with more significant emissions reductions and higher carbon costs [3]. The primary goal of the prosumer is to maximize its economic interests, rather than voluntarily achieving a low-carbon transition by bearing a higher carbon price.…”

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confidence: 99%

A Carbon Emission Allowance Bargaining Model for Energy Transactions Among Prosumers

Xiang,

Qing,

Fang

et al. 2024

IEEE Trans. Power Syst.

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The carbon pricing is the main issue of the carbon trading market for enabling cost-effective decarbonization in the energy networks. A nodal carbon pricing model is firstly proposed based on the sharing and integration of the intraregional carbon emission allowance. In this regard, the game theory is introduced to construct a multi-agent carbon emission allowance bargaining model in this letter. The alternating direction multiplier method is adopted to solve the model considering the competitional burden and privacy-preserving. Numerical results demonstrate that it could significantly reduce the carbon emissions of regional energy networks and improve the economic benefits of prosumers.

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“…It is a typical traditional industry as well as a talented-, technology-and capital-intensive industry with great innovation potential. The electricity sector accounts for 35% of global greenhouse gas (GHG) emissions, far ahead of any other sector as the leading carbon emitter (Xiang et al, 2022). More and more countries are considering or formally announcing their carbon neutrality goals, and there is an urgent need for the global electric sector to act and play a role in the low-carbon transition of the energy system.…”

Section: Introductionmentioning

confidence: 99%

Low-carbon electricity technology transformation in Chinese universities

Wang

Bai-min

2023

IJCCSM

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Purpose With the growing climate problem, it has become a consensus to develop low-carbon technologies to reduce emissions. Electric industry is a major carbon-emitting industry, accounting for 35% of global carbon emissions. Universities, as an important patent application sector in China, promote their patent application and transformation to enhance Chinese technological innovation capability. This study aims to analyze low-carbon electricity technology transformation in Chinese universities. Design/methodology/approach This paper uses IncoPat to collect patent data. The trend of low-carbon electricity technology patent applications in Chinese universities, the status, patent technology distribution, patent transformation status and patent transformation path of valid patent is analyzed. Findings Low-carbon electricity technology in Chinese universities has been promoted, and the number of patents has shown rapid growth. Invention patents proportion is increasing, and the transformation has become increasingly active. Low-carbon electricity technology in Chinese universities is mainly concentrated in individual cooperative patent classification (CPC) classification numbers, and innovative technologies will be an important development for electric reduction. Originality/value This paper innovatively uses valid patents to study the development of low-carbon electricity technology in Chinese universities, and defines low-carbon technology patents by CPC patent classification system. A new attempt focuses on the development status and direction in low-carbon electricity technology in Chinese universities, and highlights the contribution of valid patents to patent value.

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Low-carbon economic planning of integrated electricity-gas energy systems

Cited by 40 publications

References 24 publications

Optimal planning of distribution network with transactive energy: Review and framework

Optimal planning of distribution network with transactive energy: Review and framework

A Carbon Emission Allowance Bargaining Model for Energy Transactions Among Prosumers

Low-carbon electricity technology transformation in Chinese universities

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