A Bi-Level Reactive Power Optimization for Wind Clusters Integrating the Power Grid While Considering the Reactive Capability

IF 3 4区工程技术 Q3 ENERGY & FUELS

Energies Pub Date : 2024-08-08 DOI:10.3390/en17163910

Xiping Ma, Wenxi Zhen, Rui Xu, Xiaoyang Dong, Yaxin Li

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引用次数: 0

Abstract

With the integration of large-scale wind power clusters into the power system, wind farms play a crucial role in grid reactive power regulation. However, the range of its reactive power remains uncertain, posing challenges in formulating a viable program for regulating reactive power to ensure the safe and cost-effective operation of the power system. Based on this, this paper develops a bi-level reactive power optimization for wind clusters integrating the power grid while considering the reactive capability. Firstly, this paper carries out a refined analysis of the wind power clusters, taking into account the characteristics of different areas to estimate the exact value of the reactive power capability in wind power clusters. Secondly, a bi-level reactive power optimization model is established. The upper-layer optimization aims to minimize active losses and voltage deviation in power system operation, while the lower-layer optimization focuses on maximizing reactive power margin utilization in wind farms. To solve this bi-level optimization model, an improved artificial fish swarm algorithm (AFSA) is employed, which decouples real variables and integer variables to enhance the optimization ability of the algorithm. Finally, the effectiveness of our proposed optimization strategy and algorithm is validated through the simulation results.

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考虑无功功率的风电集群双级无功功率优化，同时整合电网

随着大规模风电集群融入电力系统，风电场在电网无功功率调节中发挥着至关重要的作用。然而，其无功功率的范围仍不确定，这给制定可行的无功功率调节方案以确保电力系统的安全和经济高效运行带来了挑战。基于此，本文在考虑无功能力的同时，为并入电网的风电集群开发了一种双级无功优化方案。首先，本文对风电集群进行了细化分析，结合不同地区的特点，估算出风电集群无功功率能力的准确值。其次，建立了双层无功优化模型。上层优化的目标是使电力系统运行中的有功损耗和电压偏差最小化，而下层优化的重点是使风电场的无功裕度利用率最大化。为了解决这个双层优化模型，我们采用了一种改进的人工鱼群算法（AFSA），该算法将实数变量和整数变量解耦，从而提高了算法的优化能力。最后，通过仿真结果验证了我们提出的优化策略和算法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Energies ENERGY & FUELS-

CiteScore

6.20

自引率

21.90%

发文量

8045

审稿时长

1.9 months

期刊介绍： Energies (ISSN 1996-1073) is an open access journal of related scientific research, technology development and policy and management studies. It publishes reviews, regular research papers, and communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.