加强网络规划和运营的新型两阶段多目标优化策略

IF 1.6 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Renato S. F. Ferraz, Rafael S. F. Ferraz, Augusto C. Rueda Medina
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引用次数: 0

摘要

电动汽车(EV)使用量的大幅增长和分布式能源资源(DER)的采用改变了能源行业的格局。尽管电动汽车和分布式能源资源具有诸多优势,但它们也给系统运营商带来了额外的挑战。因此,本文针对电动汽车充电站(EVCS)、分布式能源资源(DER)和电容器组(CB)的分配和大小以及动态网络重构,提出了一种多目标优化策略,以加强网络运行和规划。为此,我们引入了一种新颖的两阶段方法,分别处理规划和运行问题,其中将长期保持不变的决策变量(如 DER、EVCS 和 CB 的位置)与可实时调整的决策变量(如网络配置、CB 分接头和 DER 操作点)区分开来。主要目标是在确保符合网络约束条件的前提下,最大限度地降低总成本、电压偏差和功率损耗。通过多目标布谷鸟搜索来解决优化问题,并使用模糊决策方法选择最终解决方案。最后,通过与该领域之前的研究以及成熟的非支配排序遗传算法 II 进行综合比较,证明了所提方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A novel two-stage multi-objective optimization strategy for enhanced network planning and operation

A novel two-stage multi-objective optimization strategy for enhanced network planning and operation

The significant growth in the utilization of electric vehicles (EVs) and adoption of distributed energy resources (DERs) have transformed the landscape of the energy sector. Despite the advantages offered by EVs and DERs, they introduce additional challenges to system operators. Therefore, this paper proposes a multi-objective optimization strategy for enhancing network operation and planning, focusing on the allocation and sizing of electric vehicle charging stations (EVCSs), DERs, and capacitor banks (CBs), along with dynamic network reconfiguration. For this purpose, a novel two-stage methodology is introduced to address planning and operation separately, in which decision variables that remain constant over time (e.g., location of DERs, EVCSs, and CBs) are distinguished from those that can be adjusted in real-time (e.g., network configuration, CB taps, and DER operating points). The main objective is to minimize overall costs, voltage deviation, and power losses while ensuring compliance with network constraints. The optimization problem is addressed through the multi-objective cuckoo search, and the final solution is chosen using the fuzzy decision-making method. Finally, the effectiveness of the proposed approach is demonstrated through a comprehensive comparison with prior studies in the field and with the well-established non-dominated sorting genetic algorithm II.

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来源期刊
Electrical Engineering
Electrical Engineering 工程技术-工程:电子与电气
CiteScore
3.60
自引率
16.70%
发文量
0
审稿时长
>12 weeks
期刊介绍: The journal “Electrical Engineering” following the long tradition of Archiv für Elektrotechnik publishes original papers of archival value in electrical engineering with a strong focus on electric power systems, smart grid approaches to power transmission and distribution, power system planning, operation and control, electricity markets, renewable power generation, microgrids, power electronics, electrical machines and drives, electric vehicles, railway electrification systems and electric transportation infrastructures, energy storage in electric power systems and vehicles, high voltage engineering, electromagnetic transients in power networks, lightning protection, electrical safety, electrical insulation systems, apparatus, devices, and components. Manuscripts describing theoretical, computer application and experimental research results are welcomed. Electrical Engineering - Archiv für Elektrotechnik is published in agreement with Verband der Elektrotechnik Elektronik Informationstechnik eV (VDE).
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