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Pharmaceutical Research & Development
Peer-to-Peer Energy Trading Pricing Mechanisms: Towards a Comprehensive Analysis of Energy and Network Service Pricing (NSP) Mechanisms to Get Sustainable Enviro-Economical Energy Sector
Peer-to-peer (P2P) energy trading facilitates both consumers and prosumers to exchange energy without depending on an intermediate medium. This system makes the energy market more decentralized than before, which generates new opportunities in energy-trading enhancements. In recent years, P2P energy trading has emerged as a method for managing renewable energy sources in distribution networks. Studies have focused on creating pricing mechanisms for P2P energy trading, but most of them only consider energy prices. This is because of a lack of understanding of the pricing mechanisms in P2P energy trading. This paper provides a comprehensive overview of pricing mechanisms for energy and network service prices in P2P energy trading, based on the recent advancements in P2P. It suggests that pricing methodology can be categorized by trading process in two categories, namely energy pricing and network service pricing (NSP). Within these categories, network service pricing can be used to identify financial conflicts, and the relationship between energy and network service pricing can be determined by examining interactions within the trading process. This review can provide useful insights for creating a P2P energy market in distribution networks. This review work provides suggestions and future directions for further development in P2P pricing mechanisms.
Recently, the utilization of renewable energy sources (RESs) has grown significantly due to global efforts to reduce carbon emissions and advancements in power systems technology [1, 2]. The capacity of photovoltaic generators connected to distribution networks, for example, has grown from 41, 604 MW in 2010 to 854, 795 MW in 2020 with an average annual growth rate of approximately 34% [3]. When properly planned, RESs connected to distribution networks can exhibit numerous conveniences to the power system, such as reducing network losses, avoiding unnecessary investments, increasing reliability, and decreasing greenhouse gas emissions [4, 5]. Additionally, the owners of distributed RESs, known as prosumers, can benefit economically by producing and selling their own electricity, which can also encourage them to actively participate in managing the power system’s load [6, 7].
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Many countries promote the expansion of RESs through various policies, such as feed-in tariffs (FITs) and net energy metering [8, 9, 10, 11]. FITs offer guaranteed fixed prices for electricity produced from RESs over a specific period, while net metering compensates prosumers for the net amount of generated energy at the retail price [10]. Both policies, however, do not allow prosumers to freely and dynamically decide the price and amount of electricity in a transaction, which limits their potential for maximizing their own utility [12]. This is a problem, especially when regulatory support for RESs is reduced. However, there is one drawback that FIT and net metering policies share. Prosumers are unable to freely and dynamically choose the price and quantity of power in a transaction under any policy, making it impossible for them to optimize their utility [13]. The regulatory support for RES generation has begun to be suspended in several countries where the aim of renewable energy penetration has been substantially attained and the cost of investing in RESs has decreased [14]. In such cases, prosumers’ gains may be greatly diminished, and their beneficial contributions to the electricity system may be compromised.
To address the limitations of existing policies and changes in support levels, P2P energy trading is gaining attention as a potential approach for managing prosumers with RESs in distribution networks [15]. In P2P energy trading, it is possible to trade energy among prosumers and consumers directly, negotiating an appropriate price during the trading process [16, 17]. This can result in a win-win situation for both prosumers and consumers, with consumers saving costs and prosumers earning more profit [18].
P2P energy trading can contribute to the operation and management of an electricity network by promoting the expansion of RES, increasing the flexibility of the power generation and supply, managing the balance of supply and demand, improving access to energy resources, and increasing the provision of ancillary services [19, 20, 21]. Recently, studies on P2P energy trading have increased significantly, with research topics including the modeling of pricing mechanisms, the impact of P2P energy pricing mechanisms on physical networks, and technologies that enable P2P energy trading [22]. However, most of these studies have focused on the pricing of energy, and there is a limited number of articles that provide a clear realization of P2P energy trading pricing mechanisms. This review paper aims to integrate these three categories and provide guidance for innovative research in this field. Several other reviews have been published on P2P energy trading, analyzing topics such as architecture, market mechanisms, technology, and pilot projects [23]. Figure 1 shows the numbers of publications during the time period from 2015 to 2021; all of these papers are related to design approaches and applied technologies in P2P energy trading. Figure 2 and Figure 3 show the proportional percentage of published papers, and the number of pilot projects of several developed countries, up to the year 2022. The countries listed in Figure 2 are the regions from which most of the studies relating to P2P energy trading were published in the year 2022. The UK is at the top, being the country from which the largest number of articles on P2P energy trading were published, whereas the US, Singapore, Denmark and Germany produced the same proportion, publishing five articles on average in the same year. However, Figure 3 shows a different scheme which reveals the implementation of pilot projects in several regions. Germany has implemented the highest number of pilot projects, while The US is in the second position.
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The rules for P2P energy trading are determined by the applicable market mechanism, which can be classified into centralized, hybrid, and decentralized mechanisms depending on the presence of, and level of intervention by, a market operator [21]. Mathematical models have been proposed to theoretically describe various markets which can be found in previously published papers listed in Table 1. The market mechanism mainly concentrates on the pricing mechanism, which lays out the rules for determining the price and amount of energy being traded. Methods such as game theory, auction mechanisms, and optimization theories have been used to calculate the energy price and allocate the cost of network services incurred while managing network constraints and line losses.
According to certain studies, technology such as the Internet of Things and distributed ledgers can enable the technical and practical application of P2P energy trading in a distribution network. Smart metering systems, sensors, and home management systems can assist consumers in conducting energy transactions. Distributed ledgers are considered a vital tool for facilitating decentralized energy trading. Power routing technology is also necessary for enabling P2P energy trading, as outlined in some studies. The authors of a case study on P2P energy trading in Nepal have also summarized the technical issues involved.
In some countries, pilot projects have been implemented to investigate the practical aspects of P2P energy pricing mechanisms in real-world implementations. The economic viability of P2P energy trading projects is evaluated by considering factors such as location, business objectives, size, and number of customers involved. Studies have examined pilot projects that use blockchain methodology for properly understanding P2P energy trading, analyzing the use of consensus algorithms, the role of tokens, transaction processes, and their impact on the operation of electricity networks [34, 35].
Sg 4 6 16 By Southern Lakes Newspapers / Rock Valley Publishing
Figure 4 illustrates previous studies that have contributed to the fundamental understanding of P2P energy trading, covering both the design and implementation approaches. These studies have primarily concentrated on determining the price of energy at the market mechanism level. However, the pricing mechanism also involves network service pricing in addition to energy pricing. A few review papers have looked into network service pricing, but they are not well integrated with energy pricing, making it hard to gain a comprehensive understanding of the pricing mechanism in P2P energy trading. To achieve this, it is necessary to examine
The rules for P2P energy trading are determined by the applicable market mechanism, which can be classified into centralized, hybrid, and decentralized mechanisms depending on the presence of, and level of intervention by, a market operator [21]. Mathematical models have been proposed to theoretically describe various markets which can be found in previously published papers listed in Table 1. The market mechanism mainly concentrates on the pricing mechanism, which lays out the rules for determining the price and amount of energy being traded. Methods such as game theory, auction mechanisms, and optimization theories have been used to calculate the energy price and allocate the cost of network services incurred while managing network constraints and line losses.
According to certain studies, technology such as the Internet of Things and distributed ledgers can enable the technical and practical application of P2P energy trading in a distribution network. Smart metering systems, sensors, and home management systems can assist consumers in conducting energy transactions. Distributed ledgers are considered a vital tool for facilitating decentralized energy trading. Power routing technology is also necessary for enabling P2P energy trading, as outlined in some studies. The authors of a case study on P2P energy trading in Nepal have also summarized the technical issues involved.
In some countries, pilot projects have been implemented to investigate the practical aspects of P2P energy pricing mechanisms in real-world implementations. The economic viability of P2P energy trading projects is evaluated by considering factors such as location, business objectives, size, and number of customers involved. Studies have examined pilot projects that use blockchain methodology for properly understanding P2P energy trading, analyzing the use of consensus algorithms, the role of tokens, transaction processes, and their impact on the operation of electricity networks [34, 35].
Sg 4 6 16 By Southern Lakes Newspapers / Rock Valley Publishing
Figure 4 illustrates previous studies that have contributed to the fundamental understanding of P2P energy trading, covering both the design and implementation approaches. These studies have primarily concentrated on determining the price of energy at the market mechanism level. However, the pricing mechanism also involves network service pricing in addition to energy pricing. A few review papers have looked into network service pricing, but they are not well integrated with energy pricing, making it hard to gain a comprehensive understanding of the pricing mechanism in P2P energy trading. To achieve this, it is necessary to examine
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