使用分布式解决方案的分布式稳健机会约束输电扩展规划

IF 6.7 2区 计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY IEEE Transactions on Network Science and Engineering Pub Date : 2024-07-23 DOI:10.1109/TNSE.2024.3432754
Sanaz Mahmoudi;Behnam Alizadeh;Shahab Dehghan
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引用次数: 0

摘要

在相互连接的多区域电力系统中确定具有成本效益的输电扩展计划需要一种可计算的方法,这种方法既能成功描述主要的不确定性来源,又能合理保护区域(代理)的信息隐私。然而,对于不确定性条件下的多区域投资规划,以往的方法通常无法提供可计算性,也无法合理保护不同区域的隐私。为了解决这些关键问题,本文首先提出了一种分布稳健的机会约束输电扩展规划(DR-TEP)框架,该框架通过一个基于时刻的模糊集来描述负荷需求和可再生能源生产的不确定性。该模糊集基于第一和第二时刻信息构建,保证了扩建规划在不同概率分布下的鲁棒性。然后,利用乘法器交替方向法和一种新颖的数据交换方案,为每个区域重新制定了拟议的 DR-TEP 方案,并由中央协调人员就当地特点和相互作用进行协调。建议的信息交换仅限于通过现有和候选区域间线路的电力流、拉格朗日乘数以及热电机组的输出功率,以合理保护每个区域的隐私。最后,对 IEEE 24 总线和 118 总线测试系统以及巴西实际系统的三个案例研究验证了所提出的数学公式的性能。
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Distributionally Robust Chance-Constrained Transmission Expansion Planning Using a Distributed Solution Method
Determining cost-effective transmission expansion plans in interconnected multi-region power systems requires a computationally tractable methodology that successfully characterizes major uncertainty sources and preserves the information privacy of regions (agents) reasonably. However, previous approaches usually fail to offer computational tractability and preserve privacy reasonably across different regions for multi-regional investment planning under uncertainty. To address these essential points, this paper first proposes a distributionally robust chance-constrained framework for transmission expansion planning (DR-TEP), which characterizes uncertainties of load demands and renewable power productions by a moment-based ambiguity set. The ambiguity set is constructed based on the first- and second-moment information and guarantees the robustness of the expansion plan against different probability distributions. Then, the alternating direction method of multipliers with a novel data exchange scheme is utilized to reformulate the proposed DR-TEP for each region with a central coordinator concerning local characteristics and interactions. The proposed information exchange is limited to power flows through existing and candidate inter-regional lines, Lagrangian multipliers, as well as output powers of thermal units to protect each region's privacy reasonably. Finally, three case studies on IEEE 24-bus and 118-bus test systems as well as the real-world Brazilian system validate the performance of the presented mathematical formulations.
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来源期刊
IEEE Transactions on Network Science and Engineering
IEEE Transactions on Network Science and Engineering Engineering-Control and Systems Engineering
CiteScore
12.60
自引率
9.10%
发文量
393
期刊介绍: The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.
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