Optimizing Layout of Distributed Generation Sources of Power Supply System of Agricultural Object

Author:

Daus Yuliia1ORCID,Kharchenko Valeriy2ORCID,Yudaev Igor1

Affiliation:

1. FSBEI HE Saint Petersburg State Agrarian University, Russia

2. Federal Scientific Agroengineering Center VIM, Russia

Abstract

The increasing penetration of photovoltaic technology calls for the development of an effective method for optimization of grid-connected photovoltaic power plants. Although extensive studies on the definition, implementation, and optimization of these systems have been conducted, the design and management of a smart energy system remains a critical challenge. The purpose of the work is to increase efficiency of power supply system of agricultural facility by optimizing the placement and selection of parameters of photovoltaic sources of distributed generation. Application of photovoltaic sources of distributed generation as part of power supply system of agricultural enterprise allows to reduce the total consumption from the network in average basing on solar intensity data for 22 years by 40-53% from April to October, which is most expedient in view of the fact that this is a period of intensive work of the enterprise and the greatest load on its consumers; by 24-30% in February, March, and October; and by 14-17% the rest of the time.

Publisher

IGI Global

Cited by 4 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. Research on Economical Operation of Distributed Power Based on SVM and PSO Algorithm Optimization;2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE);2023-11-02

2. General Approaches to Assessing Electrical Load of Agro-industrial Complex Facilities When Justifying the Parameters of the Photovoltaic Power System;Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy;2023

3. Optimal Placement of Micro Distribution Generator in Micro-Grid for Loss Minimization Using PSO;International Journal of Energy Optimization and Engineering;2022-11-03

4. Indicators of the effectiveness of the use of automation systems (SA) to support infocommunications services;Journal of Physics: Conference Series;2022-06-01

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