Voltage stability constrained optimal power flow (VSCOPF) with two sets of variables (TSV) for reactive power planning

Nowadays, the power plant is changing the power industry from a centralized and vertically integrated form into regional, competitive and functionally separate units. This is done with the future aims of increasing efficiency by better management and better employment of existing equipment and lower price of electricity to all types of customers while retaining a reliable system. This research is aimed to solve the optimal power flow (OPF) problem. The OPF is used to minimize the total generations fuel cost function. Optimal power flow may be single objective or multi objective function. In this thesis, an attempt is made to minimize the objective function with keeping the voltages magnitudes of all load buses, real output power of each generator bus and reactive power of each generator bus within their limits. The proposed method in this thesis is the Flexible Continuous Genetic Algorithm or in other words the Flexible Real-Coded Genetic Algorithm (RCGA) using the efficient GA's operators such as Rank Assignment (Weighted) Roulette Wheel Selection, Blending Method Recombination operator and Mutation Operator as well as Multi-Objective Minimization technique (MOM). This method has been tested and checked on the IEEE 30 buses test system and implemented on the 35-bus Super Iraqi National Grid (SING) system (400 KV). The results of OPF problem using IEEE 30 buses typical system has been compared with other researches.

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Fast approach for voltage stability constrained optimal power flow based on load impedance modulus margin

2017 IEEE Industry Applications Society Annual Meeting ◽

10.1109/ias.2017.8101702 ◽

2017 ◽

Cited By ~ 1

Author(s):

Diansheng Luo ◽

Xiangkui Cao ◽

Hongying He ◽

Tianguang Lu

Keyword(s):

Power Flow ◽

Optimal Power Flow ◽

Voltage Stability ◽

Load Impedance ◽

Optimal Power ◽

Fast Approach

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Optimal Power Flow with Reactive Power Compensation for Cost and Loss Minimization On Nigerian Power Grid System

Indonesian Journal of Electrical Engineering and Informatics (IJEEI) ◽

10.11591/ijeei.v5i3.284 ◽

2017 ◽

Vol 5 (3) ◽

Cited By ~ 1

Author(s):

Ganiyu Adedayo Ajenikoko ◽

Olakunle Olakunle ◽

Elijah Olabode

Keyword(s):

Power Flow ◽

Optimal Power Flow ◽

Reactive Power ◽

Power Grid ◽

Reactive Power Compensation ◽

Grid System ◽

Loss Minimization ◽

Optimal Power

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Improved Pseudo-Gradient Search Particle Swarm Optimization for Optimal Power Flow Problem

Sustaining Power Resources through Energy Optimization and Engineering - Advances in Computer and Electrical Engineering ◽

10.4018/978-1-4666-9755-3.ch008 ◽

2016 ◽

pp. 177-207 ◽

Cited By ~ 2

Author(s):

Jirawadee Polprasert ◽

Weerakorn Ongsakul ◽

Vo Ngoc Dieu

Keyword(s):

Particle Swarm Optimization ◽

Power Flow ◽

Optimal Power Flow ◽

Voltage Stability ◽

Stability Index ◽

Gradient Search ◽

Fuel Cost ◽

Swarm Optimization ◽

Optimal Power ◽

Voltage Deviation

This paper proposes an improved pseudo-gradient search particle swarm optimization (IPG-PSO) for solving optimal power flow (OPF) with non-convex generator fuel cost functions. The objective of OPF problem is to minimize generator fuel cost considering valve point loading, voltage deviation and voltage stability index subject to power balance constraints and generator operating constraints, transformer tap setting constraints, shunt VAR compensator constraints, load bus voltage and line flow constraints. The proposed IPG-PSO method is an improved PSO by chaotic weight factor and guided by pseudo-gradient search for particle's movement in an appropriate direction. Test results on the IEEE 30-bus and 118-bus systems indicate that IPG-PSO method is superior to other methods in terms of lower generator fuel cost, smaller voltage deviation, and lower voltage stability index.

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