Scholarlink

<p>To meet the ever-increasing electricity demand in environment-friendly manner, renewable energy sources must be brought into the energy mix. Due to this, the PV systems are getting integrated with the grid in huge proportions, referred as large-scale photovoltaic (LSPV) systems, across the globe. The inadequate LSPV size integrated at an undesirable location can result in higher system losses and alter the voltage and may result in system instability, which is otherwise meant for improvement of system power balance and reduction of carbon emissions. In this connection, this paper aims to provide a methodology to identify the ideal location and size of LSPV. In the process, this paper validates multiple approaches, like load flow analysis, sensitivity factor analysis, and <i>P–V</i> and <i>Q–V</i> curves, for their merits and limitations. As a test case, IEEE 14-bus system is considered and all these approaches are implemented, confirming the limitations of different methodologies, and inferences are drawn from the merits of different approaches, which will be used as inputs for subsequent decision making. The conclusion about location is validated through multiple approaches, while the sizing of LSPV is confirmed with the help of particle swarm optimization (PSO) algorithm to affirm the decision making. From the results obtained and subsequent validations, it is identified that the integration of LSPV of size 51.8&#xa0;MW at Bus 14 is the best size and location for the considered test system. This addition improves bus voltage profiles and system voltage stability by increasing critical load to 1122&#xa0;MW from 1038&#xa0;MW and reduces transmission line losses by 30.47%.</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

Sizing and Placement Strategy for Integration of Large-Scale Photovoltaic Systems in Power Transmission Networks

  • 期刊论文

  • 发表日期：

    2025年5月27日

查看全文
  • Raghupatruni Venkatesh,
  • Perumalla Chandrasekhar,
  • Chandrasekhar Narayan Bhende

摘要

To meet the ever-increasing electricity demand in environment-friendly manner, renewable energy sources must be brought into the energy mix. Due to this, the PV systems are getting integrated with the grid in huge proportions, referred as large-scale photovoltaic (LSPV) systems, across the globe. The inadequate LSPV size integrated at an undesirable location can result in higher system losses and alter the voltage and may result in system instability, which is otherwise meant for improvement of system power balance and reduction of carbon emissions. In this connection, this paper aims to provide a methodology to identify the ideal location and size of LSPV. In the process, this paper validates multiple approaches, like load flow analysis, sensitivity factor analysis, and P–V and Q–V curves, for their merits and limitations. As a test case, IEEE 14-bus system is considered and all these approaches are implemented, confirming the limitations of different methodologies, and inferences are drawn from the merits of different approaches, which will be used as inputs for subsequent decision making. The conclusion about location is validated through multiple approaches, while the sizing of LSPV is confirmed with the help of particle swarm optimization (PSO) algorithm to affirm the decision making. From the results obtained and subsequent validations, it is identified that the integration of LSPV of size 51.8 MW at Bus 14 is the best size and location for the considered test system. This addition improves bus voltage profiles and system voltage stability by increasing critical load to 1122 MW from 1038 MW and reduces transmission line losses by 30.47%.