Scholarlink

<p>This paper introduces a hybrid African drive training optimization (HADTO) algorithm, which aims to optimize the sizing and placement of solar photovoltaics (PVs) and wind turbines (WTs) while taking power losses and voltage deviation into consideration. Considering the unpredictable nature of renewable energy sources and the excessive use of distributed generations, which can only supply active power, an optimized distributed static synchronous compensator (DSTATCOM) will also be deployed. This aims to address the reactive power demand associated with solar PV-based distributed generation sources while simultaneously improving the performance of the distribution network in the absence of DG sources. In addition, time-domain analysis is performed to observe the behaviour of the DSTATCOM under varying generation from renewable energy sources. The proposed methodology is implemented and validated on two test systems, IEEE 33 and IEEE 69-bus systems. For the IEEE 33-bus system, a 90.26% loss reduction and a voltage deviation drop from 0.0561 to 0.0052 were achieved, while for the IEEE 69-bus system, losses were reduced by 95.74% and voltage deviation improved from 0.0268 to 0.0028. These results clearly demonstrate the efficiency and effectiveness of the proposed HADTO algorithm in optimizing DG placement and improving overall system performance.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Hybrid Optimization Technique for Siting and Sizing of Distributed Generators and DSTATCOM to Minimize Power Loss and Voltage Deviation with Time-Domain Analysis

  • 期刊论文

  • 发表日期：

    2025年8月17日

查看全文
  • Rayes Ahmad Lone,
  • Sheikh Javed Iqbal,
  • Ahmed Sharique Anees

摘要

This paper introduces a hybrid African drive training optimization (HADTO) algorithm, which aims to optimize the sizing and placement of solar photovoltaics (PVs) and wind turbines (WTs) while taking power losses and voltage deviation into consideration. Considering the unpredictable nature of renewable energy sources and the excessive use of distributed generations, which can only supply active power, an optimized distributed static synchronous compensator (DSTATCOM) will also be deployed. This aims to address the reactive power demand associated with solar PV-based distributed generation sources while simultaneously improving the performance of the distribution network in the absence of DG sources. In addition, time-domain analysis is performed to observe the behaviour of the DSTATCOM under varying generation from renewable energy sources. The proposed methodology is implemented and validated on two test systems, IEEE 33 and IEEE 69-bus systems. For the IEEE 33-bus system, a 90.26% loss reduction and a voltage deviation drop from 0.0561 to 0.0052 were achieved, while for the IEEE 69-bus system, losses were reduced by 95.74% and voltage deviation improved from 0.0268 to 0.0028. These results clearly demonstrate the efficiency and effectiveness of the proposed HADTO algorithm in optimizing DG placement and improving overall system performance.