A two-stage benefit optimization and multi-participant benefit-sharing strategy for hybrid renewable energy systems in rural areas under carbon trading

Zhang, Lihui; Li, Songrui; Nie, Qingyun; Hu, Yitang

doi:10.1016/j.renene.2022.03.048

Cited by 33 publications

(6 citation statements)

References 31 publications

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“…Villicaña-García et al [ 42 ] proposed an economic incentive-punishment scheme based on greenhouse gas emission limits and further studied strategic planning issues of the energy supply chain, including fossil fuels and biofuels. Based on an improved tiered reward-punishment carbon trading policy, Zhang et al [ 43 ] constructed a two-stage benefit sharing model for a mixed renewable energy system. It can be found that when examining the effect of incentive-punitive policies on low-carbon activities, mandatory policies are rarely considered comprehensively, nor do they integrate carbon abatement investments and the corresponding effect on the demand for low-carbon products.…”

Section: Literature Reviewmentioning

confidence: 99%

Effects of a Mixed Emissions Control Policy on the Manufacturer’s Production and Carbon Abatement Investment Decisions

Wang¹,

Zhang

2022

IJERPH

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Considering the consumers’ environmental awareness, a mixed emissions control policy with carbon tax and a dynamic reward-punishment mechanism for carbon abatements was introduced to explore the manufacturer’s low-carbon production issues. The results showed that: (1) Under a given mixed emissions control policy, a higher government pre-determined abatement target cannot positively encourage manufacturers’ carbon abatement behaviors. However, a stricter emissions control policy is environmentally beneficial only when the government pre-determined abatement target exceeds a certain threshold. (2) Reducing the carbon abatement cost and enhancing the consumers’ environmental awareness would always benefit manufacturers’ low-carbon production, but both approaches benefit the environment only when the government pre-determined abatement target is below a certain threshold. (3) Under a mixed emissions control policy of social welfare maximization, the reward-punishment coefficient positively correlates with the government’s optimal pre-determined abatement target, and the effect of the carbon tax rate on that is closely related to the carbon emissions of the unit product. More importantly, imposing a carbon tax or raising the tax rate and adopting a reward-punishment mechanism or raising the reward-punishment coefficient can effectively encourage manufacturers’ carbon abatement investment behaviors. However, they have nothing but a negative effect on manufacturers’ excessive abatement levels.

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Section: Literature Reviewmentioning

confidence: 99%

Effects of a Mixed Emissions Control Policy on the Manufacturer’s Production and Carbon Abatement Investment Decisions

Wang¹,

Zhang

2022

IJERPH

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“…Carbon emissions are closely linked to energy supplies (Evangelopoulou et al, 2019). Carbon markets may inspire goodwill toward a carbon-neutral world (Zhang et al, 2022). In order to realize the effective utilization of energy, the literature (Xu and Yi, 2023) builds a low-carbon operation economic model of MMG in the presence of power to gas (P2G) and carbon capture systems (CCS).…”

Section: Introductionmentioning

confidence: 99%

Operation optimization of distributed multi-energy multi-microgrid considering system robustness

Feng

et al. 2023

Energy Exploration & Exploitation

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Carbon emission trading is regarded as an effective way to combine energy economy with green and low-carbon, which brings new vitality to the traditional multi-micro grid day-ahead dispatch. In this paper, a robust decentralized energy management framework is proposed for monitoring a collaborative structure of gas turbines, gas boilers, ground source heat pumps, energy storage and electrolyzers, etc for microgrid in the presence of power to gas and carbon capture systems. The price sensitivity of the power market results in the fluctuations of multi-micro grid dispatching. The worst-scenario uncertainty of multi-micro grid is managed by adopting trading prices at different conservativeness levels. The kalman filter distributed algorithm based on iteration is used to decompose the dispatch problem to minimize the total daily overhead of the multi-micro grid system while protecting microgrid data privacy. Finally, the simulation results represent the effectiveness of the proposed decentralized model of trading prices to meet the demand for electricity and heat. At the same time, the kalman filter distributed algorithm is compared with the alternating direction multiplier method algorithm to ensure accuracy and speed.

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“…In addition, some scholars use the nucleolus method to minimize the maximum dissatisfaction degree of the allocation plan's stakeholders for profit distribution, but this method also ignores the differences in risk and other characteristics among stakeholders [25]. Zhang Lihui et al [26] devised a two-stage strategy for benefit sharing in renewable energy systems, incorporating Nash negotiation and enhanced Shapley values. They placed emphasis on analyzing system benefits across various equilibrium conditions.…”

Section: Introductionmentioning

confidence: 99%

Benefit Sharing of Power Transactions in Distributed Energy Systems with Multiple Participants

et al. 2023

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With the rapid advancement of China’s power system reform, various provinces have progressively recognized distributed energy systems as autonomous market participants, and their operational paradigm has transitioned from centralized procurement and sales to market competition. This paradigm shift has presented novel demands for the operational efficacy of distributed energy systems within the power market. Presently, China’s distributed energy systems are predominantly managed through collaborative efforts among multiple enterprises. Consequently, during the operational process, it becomes imperative to contemplate how to achieve efficient benefit allocation to ensure the system’s sustainable development. This endeavor also represents a pivotal undertaking in China’s pursuit of its dual-carbon objectives. Therefore, this study endeavors to construct a model for benefit sharing within distributed energy systems, predicated on the distinctive attributes of various stakeholders, in order to facilitate the system’s sustainable progression. Primarily, from the vantage point of the power market and the conduct of system stakeholders, this research scrutinizes key factors that influence benefit allocation, encompassing risk level, profit contribution, and predictive elements. Subsequently, utilizing the CIRTIC anti-entropy weight method Cloud–Shapley methodology, a benefit allocation model is formulated for multiple stakeholders participating in the distributed energy systems market. Finally, the efficacy of the model is substantiated through the simulation and analysis of core stakeholders within the distributed energy system. Simulation results manifest the actual allocation benefits for micro-gas turbines, wind power, and photovoltaics, which amount to CNY 0.941 million, CNY 0.858 million, and CNY 0.881 million, respectively. Moreover, the impacts of risk level, profit contribution, and prediction vary in magnitude concerning the benefit distribution among distinct stakeholders. In future endeavors encompassing post-operational benefit sharing in regional distributed energy systems, it is indispensable to consider the varying influence of different factors on stakeholders, as well as the significance of stakeholders within the system.

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A two-stage benefit optimization and multi-participant benefit-sharing strategy for hybrid renewable energy systems in rural areas under carbon trading

Cited by 33 publications

References 31 publications

Effects of a Mixed Emissions Control Policy on the Manufacturer’s Production and Carbon Abatement Investment Decisions

Effects of a Mixed Emissions Control Policy on the Manufacturer’s Production and Carbon Abatement Investment Decisions

Operation optimization of distributed multi-energy multi-microgrid considering system robustness

Benefit Sharing of Power Transactions in Distributed Energy Systems with Multiple Participants

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