Design Simulation and Review of Solar PV Power Forecasting Using Computing Techniques

Author:

Pawan Kumar Tiwari, Mukesh Kumar Yadav Rajendra Kumar, Gulhasan Ahmad,

Abstract

The field of renewable energies provides solutions to the sustainable energy challenges of developing countries. Various renewable energy options are used to solve the power shortage in India. In recent years, power generation has increased significantly, but the market is promising for domestic organisations, distribution networks and transmission networks, and the financial situation is sluggish and influential. India has 450,000 kilowatts of hydroelectric power, has an installed wind power capacity of 230,000 kilowatts, but has almost no great potential for renewable energy. However, India is currently very high in this region, 2022 (not including large hydropower), the target is to raise the current installed capacity from 37 GW of renewable energy to 1.75 million kilowatts. Solar energy is a key part of the government’s extension policy. The demonstration of solar PV Systems is highly advantageous for geography and structure. For efficient structure, we need effective design and forecasting tools. PV system is a popular tool to optimise and schedule the design and construction of independent photovoltaic solar systems connected to the grid. The objective of this research is to introduce the equivalent design model of the photo voltaic solar power plant and to analyses the impact of power forecasting on performance assessment of solar photo voltaic system. Mathematical model of solar photovoltaic system has been implemented using and performance is analysed using PV and IV characteristics of solar photovoltaic system. Modified prediction technique was implemented for optimum forecasting in the specified scenario of complex operating condition.

Publisher

Auricle Technologies, Pvt., Ltd.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Utilization of Computational Intelligence in the Development of a Health Monitoring System for Induction Machines;2022 International Conference on Futuristic Technologies (INCOFT);2022-11-25

2. Planning for Grid Expansion and Maintaining Reliability in the Context of Electricity Storage;2022 International Conference on Futuristic Technologies (INCOFT);2022-11-25

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3