Improved Elephant Herding Optimization for Multiobjective DER Accommodation in Distribution Systems

被引：113

作者：

Meena, Nand Kishor ^{[1
]}

Parashar, Sonam ^{[1
]}

Swarnkar, Anil ^{[1
]}

Gupta, Nikhil ^{[1
]}

Niazi, Khaleequr Rehman ^{[1
]}

机构：

[1] Malaviya Natl Inst Technol, Dept Elect Engn, Jaipur 302017, Rajasthan, India

来源：

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS | 2018年 / 14卷 / 03期

关键词：

Distributed energy resources (DERs); distribution systems; elephant herding; nature inspired; voltage stability; RADIAL-DISTRIBUTION SYSTEMS; OPTIMAL PLACEMENT; DISTRIBUTION NETWORKS; GENETIC ALGORITHM; GENERATION PLACEMENT; DG ALLOCATION; MULTIPLE DGS; RECONFIGURATION; LOCATION; HYBRID;

D O I：

10.1109/TII.2017.2748220

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This work introduces a new methodology to solve a multiobjective distributed energy resource (DER) accommodation problem of distribution systems by combining a technique for order of preference by similarity to ideal solution and an improved elephant herding optimization technique. A complex real-life multiobjective DER planning problem is formulated and solved using the proposed method. The aim is to determine the optimal sites and sizes of DERs to maximize the overall benefits of utility and consumers. The proposed technique is productively implemented on three small to large-scale benchmark test distribution systems of 33-bus, 118-bus, and 880-bus. The optimal solutions obtained are compared with the methods available in the literature. The comparison shows that the proposed optimization method is promising.

引用

页码：1029 / 1039

页数：11

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