A fully distributed model for coordinated operation of distribution generators and electric vehicle aggregators

IF 4.9 3区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Computers & Electrical Engineering Pub Date : 2025-04-01 Epub Date: 2025-01-14 DOI:10.1016/j.compeleceng.2025.110063
Mohammad Sarkhosh, Abbas Fattahi
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Abstract

In today's smart grid, the proliferation of distributed generators (DGs) and electric vehicles (EVs) underscores the importance of coordinating their activities. This coordination aims to leverage these resources to enhance network efficiency and mitigate the risks associated with uncoordinated actions, such as charging during peak times, which can have undesirable consequences on grid stability and reliability. To maintain the privacy of agents and lessen their computational workload, we propose the proximal-tracking distributed optimization algorithm (PTDOA) aimed at minimizing the overall operation cost by coordinating agents, including DGs and electric vehicle aggregators (EVAs). PTDOA enables agents to coordinate and optimize their operations independently. Finally, the proposed approach is evaluated using a 33-bus distribution test network containing EVAs and DGs. The results showcase that the proposed algorithm effectively maximizes agent profits while meeting demand requirements and maintaining bus voltage profiles within standard values.
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配电发电机与电动汽车集线器协调运行的全分布式模型
在当今的智能电网中,分布式发电机(dg)和电动汽车(ev)的激增凸显了协调它们的活动的重要性。这种协调旨在利用这些资源来提高网络效率,并降低与不协调行动相关的风险,例如在高峰时段充电,这可能对电网的稳定性和可靠性产生不良影响。为了保护智能体的隐私性,减少智能体的计算量,提出了一种基于近端跟踪的分布式优化算法(PTDOA),该算法通过协调包括dg和ev在内的智能体,使整体运行成本最小化。PTDOA使代理能够独立协调和优化其操作。最后,使用包含eva和dg的33总线配电测试网络对所提出的方法进行了评估。结果表明,该算法在满足需求的同时,能有效地实现agent利润最大化,并使母线电压分布保持在标准值内。
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来源期刊
Computers & Electrical Engineering
Computers & Electrical Engineering 工程技术-工程:电子与电气
CiteScore
9.20
自引率
7.00%
发文量
661
审稿时长
47 days
期刊介绍: The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency. Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.
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