Maximum Loadability Enhancement with a Hybrid Optimization Method

E E Hassan,Z Zakaria,N Bahaman,M H Jifri,T K A Rahman

doi:10.11591/eei.v7i3.1168

Abstract

Nowadays, a power system is operating in a stressed condition due to the increase in demand in addition to constraint in building new power plants. The economics and environmental constraints to build new power plants and transmission lines have led the system to operate very close to its stability limits. Hence, more researches are required to study the important requirements to maintain stable voltage condition and hence develop new techniques in order to address the voltage stability problem. As an action, most Reactive Power Planning (RPP) objective is to minimize the cost of new reactive resources while satisfying the voltage stability constraints and labeled as Secured Reactive Power Planning (SCRPP). The new alternative optimization technique called Adaptive Tumbling Bacterial Foraging (ATBFO) was introduced to solve the RPP problems in the IEEE 57 bus system. The comparison common optimization Meta-Heuristic Evolutionary Programming and original Bacterial Foraging techniques were chosen to verify the performance using the proposed ATBFO method. As a result, the ATBFO method is confirmed as the best suitable solution in solving the identified RPP objective functions.

Highlights

Many countries have reported that millions of dollars were lost due to voltage collapse incidents.Failure to progress above the specific voltage magnitude leads to voltage collapse [1]
The less total loss was determined from SOSCRPP1 as compared to SOSCRPP2 at the same Point A’
Several Reactive Power Planning (RPP) approaches were studied and it was found that optimizing Reactive Power Dispatch (RPD), Capacitor Placement (CP) and Transformer Tap Change Setting (TTCS) simultaneously gave the best results

Summary

Introduction

Many countries have reported that millions of dollars were lost due to voltage collapse incidents. Failure to progress above the specific voltage magnitude leads to voltage collapse [1]. Voltage collapse is due to voltage instability that refers to the inability of a power system to keep the steady state voltages at all buses [2]. Failure in congestion management may results in blackout of the whole or parts of power system. This situation is verified by a report which stated that an outage of a 345kV transmission line has caused blackout in Canada and U.S in August 2003 because the system is unable to sustain the additional load [3]. Several objective functions were implemented in SCRPP in order to improve the voltage stability condition of a power system such as minimizing voltage deviation from specified operating points and maximizing static stability margin (SM) [4]

Methods

Results

Conclusion