Accounting for use of energy storage systems in the model of the long-term power system development forecasting

Author:

Nechaieva T.P.ORCID,

Abstract

The rapid growth of renewable generation share in the power systems worldwide, that could be explained by the world community desire for sustainable clean energy, combating the global climate change, has led to widespread use of wind and solar power plants as today’s most productive and competitive. With significant volumes of generation of these RES there are difficulties in the power system balancing due to insufficient flexibility of traditional generation, which limits electricity supply from renewables. The electricity storage is seemed to be a key solution to a number of technical and economic problems of the wind and solar power integration into the power system due to its unique ability to store and re-supply electricity to the grid. Electricity storage can be used to store excess volumes of renewable energy generation, which will be used later, minimizing or removing restrictions on supply of that excesses. The article presents approaches to taking into account the use of storage systems of electricity storage in a partial-integer model for forecasting of the power system generating capacity structure development. The use of storage system for the consumption/supply of electricity in the daily electrical load curves of the power system is modeled taking into account the available storage capacity. For hydropower the limitation of the water resource availability is taken into account. Battery energy storages ensure the transfer of excess power from wind and solar plants to the peaking periods of daily load if there is absent the possibility to ramp-down conventional generation during maximum wind and solar electric power production. Keywords: power system, the long-term development forecasting, mathematical model, energy storage system, load curve

Publisher

National Academy of Sciences of Ukraine (Co. LTD Ukrinformnauka) (Publications)

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