The Least-Cost Optimization of PV-Station DC/AC Equipment Using Battery Energy Storage System

IF 0.5 Q4 PHYSICS, APPLIED Latvian Journal of Physics and Technical Sciences Pub Date : 2022-02-01 DOI:10.2478/lpts-2022-0006
I. Buratynskyi, T. Nechaieva
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Abstract

Abstract The auction allocation of state support quotas for renewable generation implementation that will change the existing incentive for their development by providing “green” tariffs to producers is based on competitive selection of the power plant projects with the least cost of electricity generation. The competitive advantage of solar photovoltaic power plant (PV stations) projects can be done by deciding what kind of equipment can provide the minimum cost of electricity generation during the period of operation. In the article, there is improvement of non-linear mathematical least-cost optimization model of the structure of PV-station equipment using DC coupled battery energy storage system (BESS) to store the excess electricity of photovoltaic modules (PV modules), which is lost on inverters when they are overloaded during the hours of the highest intensity of solar radiation. The article presents the modelling results of overall operation of PV station with fixed power of PV modules, as well as determines optimal power of inverter equipment and battery capacity. The model calculations have shown that when the DC equipment costs of the PV station are reduced by almost 62 % and DC equipment costs of BESS are reduced by 86.7 % of the actual value in 2020 at the power of 10 MW PV modules, the optimal power of inverter equipment decreases from 7.08 to 6.29 MW, and the storage capacity increases from 0.22 to 2.51 MWh. The use of BESS allows accumulating the amount of electricity produced by PV modules, which is lost with limitation on inverters, while the cost of their joint electricity production is decreased by 0.42 %.
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采用电池储能系统的光伏电站直流/交流设备的最小成本优化
摘要可再生能源发电实施的国家支持配额的拍卖分配将通过向生产商提供“绿色”电价来改变现有的发展激励,这是基于对发电成本最低的发电厂项目的竞争性选择。太阳能光伏发电厂(PV站)项目的竞争优势可以通过决定什么样的设备可以在运营期间提供最低的发电成本来实现。在本文中,对光伏电站设备结构的非线性数学最小成本优化模型进行了改进,该模型使用直流耦合电池储能系统(BESS)来存储光伏组件的多余电力,当逆变器在最高太阳辐射强度的小时过载时,这些电力会在逆变器上损失。本文给出了光伏组件固定功率下光伏电站整体运行的建模结果,并确定了逆变器设备的最佳功率和电池容量。模型计算表明,在10 MW光伏组件的功率下,2020年光伏站直流设备成本比实际值降低近62%,BESS直流设备成本降低86.7%时,逆变器设备的最佳功率从7.08 MW降至6.29 MW,储能从0.22 MWh增至2.51 MWh。BESS的使用可以累积光伏组件产生的电量,这些电量在限制逆变器的情况下损失,同时其联合发电成本降低了0.42%。
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来源期刊
CiteScore
1.50
自引率
16.70%
发文量
41
审稿时长
5 weeks
期刊介绍: Latvian Journal of Physics and Technical Sciences (Latvijas Fizikas un Tehnisko Zinātņu Žurnāls) publishes experimental and theoretical papers containing results not published previously and review articles. Its scope includes Energy and Power, Energy Engineering, Energy Policy and Economics, Physical Sciences, Physics and Applied Physics in Engineering, Astronomy and Spectroscopy.
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