Economic Assessment of the Peer-to-Peer Trading Policy of Distributed PV Electricity: A Case Study in China

Wang, Ying; Tian, Lidan; Xia, Junrong; Zhang, Weishi; Zhang, Kaifeng

doi:10.3390/su12135235

Cited by 10 publications

(4 citation statements)

References 24 publications

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“…Similarly, the world's largest developing country, China, is facing policy issues in the P2P energy trading sector. The current Chinese P2P regulations and policies cannot be adapted to China's business models [60]. In China, the government sets the target of energy consumption in their climate pledge (its "nationally determined contribution", or NDC).…”

Section: Politicalmentioning

confidence: 99%

Barriers to Peer-to-Peer Energy Trading Networks: A Multi-Dimensional PESTLE Analysis

Sun,

Tavakoli,

Khalilpour

et al. 2024

Sustainability

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The growing adoption of distributed energy production technologies and the potential for energy underutilisation when the energy is produced by non-connected groups has raised interest in developing ‘sharing economy’ concepts in the electricity sector. We suggest that mechanisms, such as peer-to-peer (P2P) energy trading, will allow users to exchange their surplus energy for mutual benefits, stimulate the adoption of renewable energy, encourage communities to ‘democratically’ control their own energy supplies for local development, improve energy efficiency, and create many other benefits This approach is receiving increasing attention across the world, particularly in Germany, the Netherlands and Australia. Nevertheless, the actual development and implementation of these platforms are slow and mostly limited to trial activities. This study investigates the challenges and barriers facing P2P energy trading developments based on previous academic and industry studies. We provide a comprehensive multidimensional barrier analysis through a PESTLE approach to assess the barriers from a variety of perspectives, including the political (P), economic (E), social (S), technological (T), legal (L), and environmental (E) aspects. This approach clarifies the many intersecting problem fields for P2P trading in renewable energy, and the paper identifies a list of such barriers and discusses the prospects for addressing these issues. We also elaborate on the importance of incentive-based P2P market design.

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Section: Politicalmentioning

confidence: 99%

Barriers to Peer-to-Peer Energy Trading Networks: A Multi-Dimensional PESTLE Analysis

Sun,

Tavakoli,

Khalilpour

et al. 2024

Sustainability

View full text Add to dashboard Cite

show abstract

“…Similarly, the world's largest developing country, China, is facing policy issues in the P2P energy trading sector. The current Chinese regulations and policies cannot be adapted to the business models of China [61]. In China, government sets the target of energy consumption in their climate pledge (its "nationally determined contribution", or NDC).…”

Section: Politicalmentioning

confidence: 99%

Barriers of Peer-to-Peer Energy Trading Networks: A Multi-dimensional PESTLE Analysis

Sun,

Tavakoli,

Khalilpour

et al. 2023

Preprint

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The growing adoption of distributed energy production technologies, and the potential of energy underutilization when it is produced by non-connected groups, has raised interest in ‘sharing economy’ concepts in the electricity sector. We suggest that mechanisms, such as peer-to-peer (P2P) energy trading, will allow users to exchange their surplus energy for mutual benefits, stimulate the adoption of renewable energy, encourage communities to ‘democratically’ control their own energy supplies for local development, and improved energy efficiency, and create many other benefits This approach is receiving increasing attention across the world, particularly in Germany, the Netherlands and Australia. Nevertheless, the actual development and implementation of these platforms is slow and mostly limited to trial activities. This study investigates the challenges and barriers facing P2P energy trading developments based on previous academic and industry studies. We provide a comprehensive multidimensional barrier analysis through a PESTLE approach to assess the barriers from a variety of perspectives, including the political (P), economic (E), social (S), technological (T), legal (L), and environmental (E) aspects. This approach clarifies the many intersecting problem fields of P2P trading in renewable energy, and the paper identifies a list of such barriers, and discusses the prospects for addressing these issues. We also elaborate on the importance of incentive-based P2P market design.

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“…Profit-sharing modes in the bilateral contracts with the end users. In China, if an end user does not participate in the market by themselves or through a retail company, they will pay the electricity fee at a default fixed price, which is called regulated price [54]. Regulated prices are set by the provincial National Development and Reform Commission in China, as shown in Table A1.…”

Section: Modeling Of Diverse Bidding Decision-makings 31 Three-dimens...mentioning

confidence: 99%

MRL-Based Model for Diverse Bidding Decision-Makings of Power Retail Company in the Wholesale Electricity Market of China

Wang

Liu

Yuan

et al. 2023

Axioms

Self Cite

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Power retail companies in the electricity market make profits through buying and selling power energy in the wholesale and retail markets, respectively. Traditionally, they are assumed to bid in the wholesale market with the same objective, i.e., maximize the profit. This paper proposes a multiagent reinforcement learning (MRL)-based model to simulate the diverse bidding decision-making concerning various operation objectives and the profit-sharing modes of power retail companies in China’s wholesale electricity market, which contributes to a more realistic modeling and simulation of the retail companies. Specifically, three types of operation objectives and five types of profit-sharing modes are mathematically formulated. After that, a complete electricity market optimization model is established, and a case study with 30 retail companies is carried out. The simulation results show that the proposed method can effectively model the diverse bidding decision-making of the power retail companies, which can further assist their decision-making and further contribute to the analysis and simulations of the electricity market.

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Economic Assessment of the Peer-to-Peer Trading Policy of Distributed PV Electricity: A Case Study in China

Cited by 10 publications

References 24 publications

Barriers to Peer-to-Peer Energy Trading Networks: A Multi-Dimensional PESTLE Analysis

Barriers to Peer-to-Peer Energy Trading Networks: A Multi-Dimensional PESTLE Analysis

Barriers of Peer-to-Peer Energy Trading Networks: A Multi-dimensional PESTLE Analysis

MRL-Based Model for Diverse Bidding Decision-Makings of Power Retail Company in the Wholesale Electricity Market of China

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