Reactive Power Loss Reduction in Distribution Network Using Crow Search Optimization and Available Transfer Capability

Author:

Kannan N.1ORCID,Sutha S.2

Affiliation:

1. Department of EEE, Anna University, Chennai 600025, India

2. Department of EEE, University College of Engineering Dindugal, Dindugal 62400l, India

Abstract

In distribution systems, it is important to guarantee the protected operating state of the power system by the transmission suppliers. To transmit a secure, dependable and economical supply of electric power, long separation bulk power transmission is fundamental. Despite that, the power transfer capacity of the power system is constrained because of the elements like thermal limits, voltage limits and security limits. Crow Search Optimizations (CSO) have been exhibited to be reasonable methodologies in taking care of nonlinear power system issues with Available Transfer Capability (ATC). It is conceivable to improve transmission capabilities. This proposed method based on the IEEE 30-bus system is considered with two distinct areas, and furthermore, the input source is a typical load system with a distributed network. There is a need to control the reactive power flow at the Point of Common Coupling (PCC) between the grids of various voltage levels. To operate a power system securely and furthermore to acquire the benefit of bulk power transfer, ATC evaluation is required. The load gets raised from 50% to 100% in the distribution side by including the thermal power plant (85% and 95% load is included) and with the procured condition, ATC and losses are to be determined. This ATC is determined for verified power supply to the consumers.

Publisher

World Scientific Pub Co Pte Lt

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Electrical and Electronic Engineering,Hardware and Architecture

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Design of bio-inspired Models for Improving Available Transfer Capability Estimation for 30 Bus IEEE System;2022 International Conference for Advancement in Technology (ICONAT);2022-01-21

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