Massive data analysis to assess PV/ESS integration in residential unbalanced LV networks to support voltage profiles

被引：30

作者：

Lamberti, Francesco ^{[1
]}

Calderaro, Vito ^{[1
]}

Galdi, Vincenzo ^{[1
]}

Graditi, Giorgio ^{[2
]}

机构：

[1] Univ Salerno, Dept Ind Engn, Via Giovanni Paolo 2 132, Fisciano, SA, Italy

[2] ENEA, Res Ctr Portici, Portici, NA, Italy

来源：

ELECTRIC POWER SYSTEMS RESEARCH | 2017年 / 143卷

关键词：

Distributed PV generation; Energy storage systems; Monte Carlo analysis; LV distribution network; ENERGY-STORAGE; DISTRIBUTION-SYSTEMS; MANAGEMENT STRATEGY; IMPACT; HOUSEHOLDS; GRIDS;

D O I：

10.1016/j.epsr.2016.10.037

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];

摘要：

The integration of energy storage systems (ESSs), co-located with distributed photovoltaic (PV) units in low voltage (LV) networks, offers new opportunities to support distribution system operator (DSO) in distribution network operations and management. The deepening penetration of renewable resources exacerbates the challenge to maintain demand-supply equilibrium. ESSs can tackle this challenge making PV resources dispatchable. Here, we apply a Monte Carlo analysis considering different residential load profiles and PV/ESS characteristics (e.g., penetration levels, locations, and capabilities) to assess the impact that two different control strategies have in supporting the DSO in improving the power quality of the distribution network. (C) 2016 Elsevier B.V. All rights reserved.

引用

页码：206 / 214

页数：9

共 26 条

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