Planning optimal power dispatch schedule using constrained ant colony optimization

One of the important tasks of a power system engineer is to run the system in safe and reliable mode for secure operation with increase in loading. So, it is significant to perform voltage stability analysis by optimal reactive power dispatch with Artificial Intelligence (AI) techniques. This paper presents the application of Ant Colony Optimization (ACO) and BAT algorithms for Optimal Reactive Power Dispatch (ORPD) to enhance voltage stability. The proposed ACO and BAT algorithms are used to find the optimal settings of On-load Tap changing Transformers (OLTC), Generator excitation and Static Var Compensators (SVC) to minimize the sum of the squares of the voltage stability L– indices of all the load buses. By calculating system parameters like L-Index, voltage error/deviation and real power loss for the practical Equivalent of Extra High Voltage (EHV) Southern Region Indian 24 bus system, voltage profile is improved and voltage stability is enhanced. A comparative analysis is done with the conventional optimization technique like Linear Programming (LP) for the given objective function to demonstrate the effectiveness of proposed ACO and BAT algorithms.

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Ant Colony Optimization (ACO) Technique in Economic Power Dispatch Problems

Lecture Notes in Electrical Engineering - Trends in Communication Technologies and Engineering Science ◽

10.1007/978-1-4020-9532-0_15 ◽

2009 ◽

pp. 191-203 ◽

Cited By ~ 6

Author(s):

Ismail Musirin ◽

Nur Hazima Faezaa Ismail ◽

Mohd. Rozely Kalil ◽

Muhammad Khayat Idris ◽

Titik Khawa Abdul Rahman ◽

...

Keyword(s):

Ant Colony Optimization ◽

Ant Colony ◽

Economic Power ◽

Power Dispatch ◽

Economic Power Dispatch

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|Economic Power Dispatch of Power System with Pollution Control using Multiobjective Ant Colony Optimization

International Journal of Computational Intelligence Research ◽

10.5019/j.ijcir.2007.99 ◽

2007 ◽

Vol 3 (2) ◽

Cited By ~ 14

Author(s):

Linda Sliman ◽

Tarek Bouktir

Keyword(s):

Power System ◽

Ant Colony Optimization ◽

Pollution Control ◽

Ant Colony ◽

Economic Power ◽

Power Dispatch ◽

Economic Power Dispatch ◽

Multiobjective Ant Colony Optimization

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DESAIN OPTIMAL POWER SISTEM STABILIZER PADA UNIT PEMBANGKIT BAKARU BERBASIS ANT COLONY OPTIMIZATION

Transmisi ◽

10.14710/transmisi.21.3.70-78 ◽

2019 ◽

Vol 21 (3) ◽

pp. 70

Author(s):

Muhammad Ruswandi Djalal ◽

Herman Nawir ◽

Sonong Sonong ◽

Marhatang Marhatang

Keyword(s):

Power System ◽

Ant Colony Optimization ◽

Ant Colony ◽

Power System Stabilizer ◽

Optimal Power ◽

System Stabilizer

Salah satu peralatan kontrol tambahan yang mampu meningkatkan kestabilan suatu system pada generator adalah Power System Stabilizer (PSS). Ketika terjadi osilasi gangguan pada generator, PSS memberikan sinyal tambahan ke peralatan eksitasi untuk memberikan redaman tambahan pada generator. Penggunaan PSS diperlukan koordinasi penentuan parameter yang tepat untuk mencapai kontrol kinerja yang bagus untuk sistem. Pada penelitian ini, metode kecerdasan buatan algoritma Ant Colony Optimization (ACO) digunakan untuk mengoptimasi parameter PSS. Dari hasil simulasi didapatkan parameter PSS yang optimal ditinjau dari respon osilasi overshoot dan sudut rotor. Kinerja sistem tanpa PSS didapatkan overshoot frekuensi sebesar -0,02242 s/d 0,005241 pu, kemudian PSS dengan Trial error sebesar -0,0196 s/d 0,003704 pu, PSS Bat sebesar -0.01394 s/d 0.0007533 pu, dan dengan metode ant colony didapatkan overshoot yang berkurang yaitu sebesar -0,0128 s/d 0,0003349 pu. Sedangkan untuk respon sudut rotor didapatkan tanpa PSS sebesar -4,71 s/d 4,486e-05 pu, PSS trial error sebesar -4,579 s/d 4,486e-05 pu, PSS Bat sebesar -4.71 s/d 4.486e-05, dan PSS ant colony sebesar -4,566 s/d 4,545e-05 pu. Implementasi metode cerdas sebagai metode penalaan PSS dapat memperbaiki kinerja generator dalam meredam osilasi sistem multimesin.

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