Optimal Power Dispatch of Distributed Energy Resources in Unbalanced AC Microgrid Considering Load and Generation Uncertainties

被引：0

作者：

Yousaf, Zeeshan ^{[1
]}

Khan, Muhammad Faisal Nadeem ^{[1
]}

Malik, Sarib ^{[1
]}

机构：

[1] Univ Engn & Technol, Elect Engn Dept, Taxila, Pakistan

来源：

2022 INTERNATIONAL CONFERENCE ON DECISION AID SCIENCES AND APPLICATIONS (DASA) | 2022年

关键词：

AC Microgrid; Distributed Energy Resources scheduling; grasshopper optimization algorithm; unbalanced distribution system; OPTIMAL PLACEMENT; OPTIMIZATION; ALGORITHM; ALLOCATION; STORAGE; IMPACT;

D O I：

10.1109/DASA54658.2022.9765028

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Distributed Energy Resource (DER) scheduling is usually performed while considering lumped load models in an unbalanced distribution system (UDS). However, it is not necessary that lumped load models represent the actual characteristics of the distribution system. Therefore, in this paper, DERs scheduling is performed while considering time-varying loading characteristics of each phase of UDS. Grasshopper Optimization Algorithm (GOA) is used to optimize the performance of UDS. The proposed methodology is implemented on IEEE 37 node feeder, and its comparison with recent studies demonstrates the effectiveness of the approach.

引用

页码：1759 / 1764

页数：6

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