Peer-to-Peer Energy Trading Under Network Constraints Based on Generalized Fast Dual Ascent

Feng, Changsen; Liang, Bomiao; Li, Zhengmao; Liu, Weijia; Wen, Fushuan

doi:10.1109/tsg.2022.3162876

Cited by 39 publications

(13 citation statements)

References 34 publications

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“…The distributed energy-sharing problem can be regarded as an alternating iterative optimization process, which is consistent with the idea of the dual ascent method. 34 The idea is that, for each prosumer, a coupling constraint  …”

Section: Distributed Weighted Subgradient Methodsmentioning

confidence: 99%

“…The distributed energy‐sharing problem can be regarded as an alternating iterative optimization process, which is consistent with the idea of the dual ascent method 34 . The idea is that, for each prosumer, a coupling constraint

\sum _{j\in {N}_{i}}{P}_{ij,i}^{k}=\sum _{j\in {N}_{i}}{P}_{ij,j}^{k}

is considered to couple

{P}_{ij,i}^{k}

and

{P}_{ij,j}^{k}

.…”

Section: Distributed Weighted Subgradient Methods For Fast Ne Findingmentioning

confidence: 99%

“…33 However, the convergence of the method was not analyzed specifically. Additionally, a new P2P energy-sharing framework with distribution network security constraints was considered, 34 where a generalized fast dual ascent method was used to solve the problem. The convergence rate of the method was significantly improved.…”

mentioning

confidence: 99%

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Game‐based distributed energy‐sharing model for prosumers in microgrids considering carbon emissions and its fast equilibrium‐finding method

Zheng,

Li,

Yuan

2024

Energy Science & Engineering

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In recent years, energy sharing has attracted a lot of attention. However, the intermediate platforms in centralized energy‐sharing methods cause the rapid growth of communication complexity and the risk of privacy leakage. Unlike complex energy‐sharing market mechanisms, in this paper, a simple and efficient distributed energy sharing for microgrids (MGs) is proposed, where game theory is employed to form flexible prices for prosumers and only local information is used to improve the privacy protection of prosumers. First, prosumers located in different areas are characterized more precisely and a two‐tier carbon emission cost model is built. Next, a game‐theory‐based distributed energy‐sharing model is proposed, where a flexible pricing mechanism is developed to enable prosumers to independently reach price agreements and achieve supply–demand balance within MGs. In the process, optimization models for obtaining equilibrium are formed and only local information is needed. However, solving these optimization models is generally time‐consuming. So, a distributed optimization method based on weighted subgradients is proposed to accelerate the equilibrium‐finding process. Finally, four cases are designed, and simulation results demonstrate that the prosumers' costs of our method are reduced by 7.5%–22.5% compared to the costs obtained by feed‐in tariff. Moreover, in the case of solving the distributed trading model for an MG at a 24‐h time scale, the iteration numbers of our method are only 38.9% and 49.3% of the two traditional solving methods.

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Section: Distributed Weighted Subgradient Methodsmentioning

confidence: 99%

\sum _{j\in {N}_{i}}{P}_{ij,i}^{k}=\sum _{j\in {N}_{i}}{P}_{ij,j}^{k}

is considered to couple

{P}_{ij,i}^{k}

and

{P}_{ij,j}^{k}

.…”

Section: Distributed Weighted Subgradient Methods For Fast Ne Findingmentioning

confidence: 99%

See 1 more Smart Citation

Game‐based distributed energy‐sharing model for prosumers in microgrids considering carbon emissions and its fast equilibrium‐finding method

Zheng,

Li,

Yuan

2024

Energy Science & Engineering

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“…In a different field of study, researchers have investigated the effects that cyberattacks have on the security and dependability of power systems. According to the findings of these research, there is a wide variety of potential damage that could occur, including power outages, damage to equipment, and revenue loss [19]. They have also investigated how the trust and confidence of customers and stakeholders in the electricity sector is affected by cyberattacks [20].…”

Section: ░ 3 Literature Reviewmentioning

confidence: 99%

Staying Ahead of Threats: A Review of AI and Cyber Security in Power Generation and Distribution

Mohamed¹,

Oubelaid

Almazrouei³

2023

IJEER

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The integration of artificial intelligence (AI) and the Internet of Things (IoT) in the power generation and distribution industry presents opportunities and challenges, particularly in the area of cybersecurity. Previous studies have explored the potential of AI to enhance cybersecurity in power systems, but limitations in terms of sample size and scope have hindered a comprehensive understanding of the current state of the field. To address this gap, this paper presents a systematic literature review of 30 papers that analyzes and categorizes relevant research based on their focus on threats, solutions, and future trends. The results indicate that 30 articles provide evidence supporting the use of AI and machine learning techniques to significantly enhance cybersecurity in the power sector. However, the study also highlights the need for continuous monitoring, threat intelligence, and risk management to stay ahead of evolving threats. Notably, this paper provides novel insights into the use of cybersecurity measures, blockchain technology, and awareness of the impact of AI in the power sector, with 90% of organizations using cybersecurity measures, 50% employing blockchain technology, 20% experiencing a cyberattack, and 60% being aware of the impact of AI. The study's limitations include a lack of detailed information on the organizations studied, such as their size and location, and the absence of a standardized approach to data collection across the selected papers. Nonetheless, this paper offers a valuable contribution to the field of AI and cybersecurity in the power industry by providing a comprehensive overview of the current state of research and identifying key areas for further investigation.

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“…Ref. [12] conducted a multi-VPPs day-ahead dynamic pricing game model with real-time rolling coordinated optimization in the intraday stage. A two-layer game model with multi-VPPs is also proposed, and the two layers of the game iterate with each other to finally reach game equilibrium.…”

Section: Introductionmentioning

confidence: 99%

Multiple Virtual Power Plants Transaction Matching Strategy Based on Alliance Blockchain

Chu

Zhang

et al. 2023

Sustainability

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Virtual power plants can aggregate distributed energy resources and interruptible loads in a region for coordinated regulation and unified transaction. However, with the diversification of competition in the electricity market, the distributed operation mechanism between multiple virtual power plants (multi-VPPs) has gradually become a research focus. Based on this, this paper proposes a new type of distributed transactions strategy between multi-VPPs, i.e., the transaction matching mechanism. A two-stage transaction model based on the transaction matching is constructed for multi-VPPs to participate in the day-ahead and intraday electricity trading markets. In the first stage, each VPP optimizes its own internal units’ output and external interaction power through a cooperative game; in the second stage, it is the transaction matching among multi-VPPs that can match the most suitable counterpart by flexible price setting to increase the benefits of all the VPPs. Considering the efficiency and security of blockchain technology, we choose to complete the transaction matching between multi-VPPs with the support of alliance blockchain technology to improve the speed of system solution.

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Peer-to-Peer Energy Trading Under Network Constraints Based on Generalized Fast Dual Ascent

Cited by 39 publications

References 34 publications

Game‐based distributed energy‐sharing model for prosumers in microgrids considering carbon emissions and its fast equilibrium‐finding method

Game‐based distributed energy‐sharing model for prosumers in microgrids considering carbon emissions and its fast equilibrium‐finding method

Staying Ahead of Threats: A Review of AI and Cyber Security in Power Generation and Distribution

Multiple Virtual Power Plants Transaction Matching Strategy Based on Alliance Blockchain

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