Modified Spider Monkey Optimization-Based Optimal Placement of Distributed Generators in Radial Distribution System for Voltage Security Improvement. Issue 9 (19th October 2020)

• Record Type: Journal Article
• Authors: Deb, Gagari; Chakraborty, Kabir; Deb, Sumita
• Is Part Of: Electric power components and systems. Volume 48:Issue 9/10(2020)
• Page Start: 1006
• Page End: 1020
• Publication Date: 2020-10-19
• Subjects: artificial neural network -- distributed generation -- distribution management system -- emergency state -- intermediate state -- modified spider monkey optimization -- radial distribution system -- secure state -- voltage profile -- voltage security; Electric machinery -- Periodicals; 621.3104205
• DOI: 10.1080/15325008.2020.1829186
• Languages: English
• ISSNs: 1532-5008

Abstract

Abstract: Due to increase in load demand the use of distributed generation has been increased in the distribution system. Voltage profile as well as voltage security state of the distribution system can be improved by incorporating Distributed Generator (DG) of particular sizes at specific locations. In this article, modified spider monkey optimization (MSMO) technique has been proposed for finding out the optimal size and location of DGs to improve stability of the network. This method is a modification of recently developed swarm intelligent technique called spider monkey optimization (SMO) technique. Here minimization of voltage deviation is considered as objective function. The performance of MSMO technique has been tested on IEEE 33 bus, IEEE 69 bus, and Indian 85 bus practical radial distribution system. The results obtained by MSMO-based technique are compared with the results of other existing methods, which show that MSMO algorithm outperforms other standard optimization techniques in terms of voltage profile improvement of the system which proves the efficiency of the proposed method. MSMO-based DG insertion also enhances voltage security state of the system.