利用混合优化技术优化风能集成的电力管理,为 SVC 提供支持

IF 1.6 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Belkacem Mahdad
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引用次数: 0

摘要

近年来,人们大力推动将更多种类的可再生能源(RS)纳入现代电力系统。这些可再生能源的间歇性带来了严峻的挑战。专家和研究人员必须制定适应性强、稳健的规划策略,以成功地将安全性更高的风能和太阳能发电并入电网。本研究提出了一种随机优化功率流 (SOPF) 策略,旨在通过基于 FACTS 技术的多路并联 (SVC) 有效协调多路风电,从而缓解多路风电的间歇性。为了准确解决具有多个目标函数冲突的复杂问题,我们采用了一种结合鹈鹕优化器(PO)和 Coati 优化算法(COA)的混合方法,以有效优化各种目标函数,包括总成本、功率损耗、电压偏差、裕度负荷稳定性和突发事件。与标准 PO 和 COA 相比,所提出的混合方法(即 POCOA)的主要特点在于其在搜索过程中能够在探索和利用之间建立灵活的平衡,这使得 POCOA 能够更准确地在有竞争力的时间内找到接近全局的解决方案。所提出的 POCOA 在单模态和多模态基准函数以及修改后的 IEEE 30 总线电力测试系统上进行了验证。与其他最新技术的比较研究证实,POCOA 在求解质量和收敛行为方面具有很强的竞争力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Optimizing power management for wind energy integration with SVC support using hybrid optimization

Optimizing power management for wind energy integration with SVC support using hybrid optimization

Recent years have seen a strong push to incorporate a wider variety of renewable sources (RS) into modern power systems. The intermittent nature of these renewable sources presents a vital challenge. Experts and researchers must develop adaptable and robust planning strategies to successfully integrate with security higher levels of wind and solar power into the grid. This research presents a stochastic optimal power flow (SOPF) strategy designed to mitigate the intermittent nature of multiple wind power sources by effectively coordinating them with multiple shunt (SVCs) based on FACTS technology. To accurately solve complex problems with multiple conflicting objective functions, a hybrid method combining the Pelican Optimizer (PO) and Coati Optimization Algorithm (COA) is effectively applied to optimize various objective functions, including total cost, power loss, voltage deviation, margin loading stability and contingencies. The main particularity of the proposed hybrid method, namely POCOA, compared to the standard PO and to the COA is related to its high ability to create flexible balance between exploration and exploitation during search process, which makes the POCOA more accurate to locate the near global solution at a competitive time. The proposed POCOA was validated on unimodal and multimodal benchmark functions, as well as the modified IEEE 30-Bus electric test system. Comparative study with other recent techniques confirmed its high competitive aspect in terms of solution quality and convergence behaviors.

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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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