Low‐carbon economic operation for integrated energy system considering carbon trading mechanism

Sun, Pengfei; Hao, Xuejun; Wang, Jun; Shen, Di; Lu, Tian Jian

doi:10.1002/ese3.967

Cited by 41 publications

(13 citation statements)

References 33 publications

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“…where i represents the i-th particle; d represents the search dimension; w is the weight coefficient; a 1 , a 2 are the acceleration constant, which is equal and not equal to 0; r 1 , r 2 are ran d [1,0]; and u id (k), c id (k) represent the velocity and position of the d-dimensional component of the i-th particle when time is k. b gd (k) is the optimal position of the group at time k.…”

Section: Basic Particle Swarm Optimizationmentioning

confidence: 99%

“…In recent years, with the rapid growth of the local economy, energy demand has been increasing. With the rapid development of national economy, energy, environmental and ecological protection, and other issues have attracted more and more attention from the state and society, and the demand for the upgrading of the energy utilization industry cannot be alleviated [ 1 ]. In the process of economic development, in order to effectively avoid the continuous deterioration of the ecological environment and ensure the economic and reliable use of energy resources by the public, people must walk out of a sustainable energy supply road as soon as possible.…”

Section: Introductionmentioning

confidence: 99%

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Economic Operation of the Regional Integrated Energy System Based on Particle Swarm Optimization

Chen

2022

Computational Intelligence and Neuroscience

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Aiming at the problems of single planning technology and relatively few resource types in the process of regional comprehensive energy system planning at the current stage, this paper proposes a method based on the construction of regional comprehensive energy system planning and the operation model. Through the integration of the particle swarm optimization algorithm, this method can better realize the optimization and economic operation of the regional comprehensive energy system and build a system optimization mode based on two stages of planning and operation to pursue the optimal configuration of system equipment. Through the simulation algorithm, it is found that the solution time of the traditional basic particle swarm optimization algorithm is 10.49s, while the average solution time of the particle swarm optimization system proposed in this study is 7.93s; the efficiency is increased by 24.4%, and the system operation efficiency is significantly improved, providing theoretical and technical guidance for the economic operation of the regional comprehensive energy system.

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Section: Basic Particle Swarm Optimizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Economic Operation of the Regional Integrated Energy System Based on Particle Swarm Optimization

Chen

2022

Computational Intelligence and Neuroscience

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“…CTM is an effective management way to limit CO 2 emissions, carbon emission sources could sell or buy carbon emissions in the carbon trading market according to the allocated carbon emission quota and the actual carbon emissions, thereby realizing the control of the total carbon emission of the system [14].…”

Section: Reward-penalty Ladder-type Carbon Trading Modelmentioning

confidence: 99%

Two-Stage Low-Carbon Economic Dispatch of Integrated Demand Response-Enabled Integrated Energy System with Ladder-Type Carbon Trading

Zhang¹,

Li²,

Zhao³

et al. 2023

Energy Engineering

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Driven by the goal of "carbon neutrality" and "emission peak", effectively controlling system carbon emissions has become significantly important to governments around the world. To this end, a novel two-stage low-carbon economic scheduling framework that considers the coordinated optimization of ladder-type carbon trading and integrated demand response (IDR) is proposed in this paper for the integrated energy system (IES), where the first stage determines the energy consumption plan of users by leveraging the price-based electrical-heat IDR. In contrast, the second stage minimizes the system total cost to optimize the outputs of generations with consideration of the uncertainty of renewables. In addition, to fully exploit the system's emission reduction potential, a carbon trading cost model with segmented CO 2 emission intervals is built by introducing a reward-penalty ladder-type carbon trading mechanism, and the flexible thermal comfort elasticity of customers is taken into account by putting forward a predicted mean vote index on the load side. The CPLEX optimizer resolves the two-stage model, and the study results on a modified IES situated in North China show the proposed model can effectively reduce carbon emissions and guarantee economical efficiency operation of the system. KEYWORDS Integrated energy system; low-carbon economic dispatch; integrated demand response; ladder-type carbon trading; thermal comfort elasticity

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“…Xu and Dong (2017) constructed an evolutionary game model between local governments and power generation enterprises, theoretically investigated the evolutionary laws and conditions for the existence of evolutionary stabilization strategies under the carbon emission trading mechanism, analyzed the factors affecting the direction of the evolutionary equilibrium of the system, and provided some policy suggestions for the government to guide power generation enterprises to reduce emissions consciously. Studies from other perspectives have also been designed, such as the aspects of enterprise carbon trading operation benefits and enterprise carbon trading operation improvement measures (Chen 2016;Chen and Yu 2018;Liao et al, 2018;Song et al, 2018;Zhang 2018;Wang et al, 2019;Yang and Yang 2019;Ren et al, 2020;Yu and Liu 2020;Zhou et al, 2020;Sun et al, 2021;Yu et al, 2021;Zhang 2021;Zhang et al, 2021;Lin and Wu 2022). Willingness to participate is a psychological decision of the decision-making subject before the actual participation behavior, which reflects the action tendency of the decision-maker before the participation behavior and is a typical representative of behavioral willingness.…”

Section: Literature Reviewmentioning

confidence: 99%

Effects of enterprise carbon trading mechanism design on willingness to participate——Evidence from China

Zha

Feng

Kong

2022

Front. Environ. Sci.

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At this stage, the air pollution problem represented by climate warming has become very serious, and it is important to establish a carbon emission trading system as an innovative policy tool to promote energy savings and emission reduction. China’s carbon trading market is currently in its initial stage, and only power generation enterprises are included in the market. When faced with changes in the carbon trading market mechanism, enterprises are often unable to make rapid adjustments, making it difficult to reflect the carbon market’s role in reducing emissions. Current research on the design of carbon trading mechanisms of enterprises has lacked investigation into the influence of the design of carbon trading mechanisms on the willingness of enterprises to participate from the perspective of enterprises. In this paper, we use choice experiments, a conditional logit model and a multinomial logit model to explore the impacts of changes in the design of enterprise carbon trading mechanisms on enterprise willingness to participate in carbon trading. The impacts of all attributes on the willingness to participate in national carbon trading is ranked from largest to smallest: offset mechanism > carbon product trading > government penalty > carbon quota allocation. Based on the research results, relevant policy recommendations and corporate countermeasures are proposed to improve corporate willingness to participate in carbon trading and encourage active cooperation in energy saving and emission reduction activities.

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Low‐carbon economic operation for integrated energy system considering carbon trading mechanism

Abstract: This is an open access article under the terms of the Creat ive Commo ns Attri bution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Cited by 41 publications

References 33 publications

Economic Operation of the Regional Integrated Energy System Based on Particle Swarm Optimization

Economic Operation of the Regional Integrated Energy System Based on Particle Swarm Optimization

Two-Stage Low-Carbon Economic Dispatch of Integrated Demand Response-Enabled Integrated Energy System with Ladder-Type Carbon Trading

Effects of enterprise carbon trading mechanism design on willingness to participate——Evidence from China

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