Research on the investment decisions of PV micro‐grid enterprises under carbon trading mechanisms

Yu, Guanyi; Wang, Kai; Hu, Yumeng; Cao, Weidong

doi:10.1002/ese3.1189

Cited by 8 publications

(5 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the usual production activities of the investing enterprises may have negative impacts on the environment. These are usually not accounted for in the costs of the enterprises but are borne by society and the environment [ 67 ]. Finally, residents are also important players as resource providers and consumers of electricity.…”

Section: Three-party Game Modelmentioning

confidence: 99%

Promoting distributed photovoltaic adoption: An evolutionary game model approach for stakeholder coordination

Tao,

Wang

2024

PLoS ONE

View full text Add to dashboard Cite

Distributed photovoltaic (DPV) is a promising solution to climate change. However, the widespread adoption of DPV faces challenges, such as high upfront costs, regulatory barriers, and market uncertainty. Addressing these barriers requires coordinating the interests of stakeholders in the promotion of DPV. Therefore, this paper constructs a three-party evolutionary game model in a social network with the government, investment companies and residents as the main subjects and examines the influence of different subjects’ behavioral strategies on the promotion of DPV under the social learning mechanism. The results show that: (1) In the game equilibrium, both the government and residents hold a positive attitude towards the promotion of DPV; (2) Companies will obtain most of the subsidies through market power and information differences, resulting in the increase of government subsidies that do not always benefit residents; (3) The increase of energy consumption and pollution prevention costs can promote companies’ investment in DPV; (4) The increase of environmental protection taxes to a certain extent helps companies to take responsibility for promoting DPV, reducing the pressure on the government to promote it and increasing residents’ income. This study provides insights into the sustainable development of DPV.

show abstract

Section: Three-party Game Modelmentioning

confidence: 99%

Promoting distributed photovoltaic adoption: An evolutionary game model approach for stakeholder coordination

Tao,

Wang

2024

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…The production and profit of firms are related to quota allocation and carbon cost (Wang et al, 2018). Carbon price prediction plays a vital role in power generation scheduling (Kockar et al, 2009) and power grid investment planning (Yu et al, 2022). It is also an essential factor affecting the coordinated trading strategy of the carbon and electricity markets.…”

Section: Introductionmentioning

confidence: 99%

Cooperative trading strategy of carbon emitting power generation units participating in carbon and electricity markets

Yang

Liu

et al. 2022

Front. Energy Res.

View full text Add to dashboard Cite

Energy-saving and emission reduction will become the focus of the energy industry in the future. The coordination of the carbon and electricity markets can help achieve the goals of carbon reduction. With the establishment of the carbon market, carbon emitting power generation units (CEPGU) need to consider the trading strategy and comprehensive benefits in the electricity and carbon markets. To further explore the mechanism and interaction process of electricity price and carbon price, the day-ahead electricity market model and carbon market trading model are developed in this study. Based on the deviation between the bid-winning power output in the electricity market and the quota plan in the carbon market, the generation cost model and the carbon quota trading decision model of the units are constructed. Finally, a case study is provided to simulate the coordinated trading process of the carbon and electricity markets. The transaction time scales of the two markets are matched. The results prove that the generation plan of the units can coordinate with the carbon quota level and provide a trading strategy for the power generation enterprises.

show abstract

“…Many researchers, e.g., [7][8][9][10], have investigated electricity or carbon trading between entities. In [7], a Nash-bargaining-based electricity interaction method is proposed for interconnected microgrids, and the alternating direction method of multipliers (ADMM) method is used to solve Nash bargaining problems in a distributed manner.…”

Section: Introductionmentioning

confidence: 99%

“…An optimal energy management method for multi-energy multi-microgrid networks is proposed in [8], where two scheduling horizons including the day-ahead phase and intra-day phase are considered. An investment decision model for microgrids is proposed in [9], where the impacts of the carbon trading mechanism are taken into account. In [10], a dynamic economic dispatch model of plug-in electric vehicles is constructed, and the effectiveness of compensating battery degradation costs with carbon trading revenues is verified.…”

Section: Introductionmentioning

confidence: 99%

“…A cooperative operation method for a battery swapping station, a charging station, and a residential building is proposed in [5], where the electricity and carbon trading between these three entities is considered. However, these papers [5,[7][8][9][10][11] have not considered that when entities operate cooperatively, the payments for local electricity trading and local carbon trading may be separate.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Local Electricity and Carbon Trading Method for Multi-Energy Microgrids Considering Cross-Chain Interaction

Zhong

Liu

Xie

et al. 2022

Sensors

View full text Add to dashboard Cite

The objective of this paper is to propose a local electricity and carbon trading method for interconnected multi-energy microgrids. A local electricity market and a local carbon market are established, allowing microgrids to trade electricity and carbon allowance within the microgrid network. Specifically, excessive electricity and carbon allowance of a microgrid can be shared with other microgrids that require them. A local electricity trading problem and a local carbon trading problem are formulated for multi-energy microgrids using the Nash bargaining theory. Each Nash bargaining problem can be decomposed into two subproblems, including an energy/carbon scheduling problem and a payment bargaining problem. By solving the subproblems of the Nash bargaining problems, the traded amounts of electricity/carbon allowance between microgrids and the corresponding payments will be determined. In addition, to enable secure information interactions and trading payments, we introduce an electricity blockchain and a carbon blockchain to record the trading data for microgrids. The novelty of the usage of the blockchain technology lies in using a notary mechanism-based cross-chain interaction method to achieve value transfer between blockchains. The simulation results show that the proposed local electricity and carbon trading method has great performance in lowering total payments and carbon emissions for microgrids.

show abstract

Research on the investment decisions of PV micro‐grid enterprises under carbon trading mechanisms

Cited by 8 publications

References 22 publications

Promoting distributed photovoltaic adoption: An evolutionary game model approach for stakeholder coordination

Promoting distributed photovoltaic adoption: An evolutionary game model approach for stakeholder coordination

Cooperative trading strategy of carbon emitting power generation units participating in carbon and electricity markets

A Local Electricity and Carbon Trading Method for Multi-Energy Microgrids Considering Cross-Chain Interaction

Contact Info

Product

Resources

About