Performance enrichment in optimal location and sizing of wind and solar PV centered distributed generation by communal spider optimization algorithm

Abstract

Purpose

The distributed generation (DG) proper placement is an extremely rebellious concern for attaining their extreme potential profits. This paper aims to propose the application of the communal spider optimization algorithm (CSOA) to the performance model of the wind turbine unit (WTU) and photovoltaic (PV) array locating method. It also involves the power loss reduction and voltage stability improvement of the ring main distribution system (DS).

Design/methodology/approach

This paper replicates the efficiency of WTU and PV array enactment models in the placement of DG. The effectiveness of the voltage stability factor considered in computing the voltage stability levels of buses in the DS is studied.

Findings

The voltage stability levels are augmented, and total losses are diminished for the taken bus system. The accomplished outcomes exposed the number of PV arrays accompanied by the optimal bus location for various penetration situations.

Practical implications

The optimal placement and sizing of wind- and solar-based DGs are tested on the 15- and 69-test bus system.

Originality/value

Moreover, the projected CSOA algorithm outperforms the PSOA, IAPSOA, BBO, ACO and BSO optimization techniques.

Citation

Raviprabhakaran, V. (2022), "Performance enrichment in optimal location and sizing of wind and solar PV centered distributed generation by communal spider optimization algorithm", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 41 No. 5, pp. 1971-1990. https://doi.org/10.1108/COMPEL-12-2021-0495