Scientific Reports

Table 1 Overview of metaheuristic-based model reduction methods for power systems.

From: Constrained search space selection based optimization approach for enhanced reduced order approximation of interconnected power system models

Reduction algorithm	Initial search space selection	Coefficients optimized	Total decision variables	Preserves stability	Attain zero steady-state error.	Algorithm applied to	System reduced to
Reduction algorithm	Initial search space selection	Numerator/ Denominator	Total decision variables	Preserves stability	Attain zero steady-state error.	Algorithm applied to	System reduced to
Metaheuristic search-based methodologies for optimization of ROM numerator coefficients with compact initial search space selection
BTM PSO²⁹	Compact	Numerator	k	Yes	Yes	9th order boiler system, 10th order MIMO SMIB power system	3rd, 4th order
PAM BBBCA ²⁷	Compact	Numerator	k	Not always	Not always	4th order SISO Power system	2nd order
Metaheuristic search-based methodologies for optimization of ROM numerator coefficients with random initial search space selection
TMM BBBCA^54,55	Random	Numerator	k	Not always	Not always	10th order MIMO SMIB power system	3rd order
DPR FFA⁵⁶	Random	Numerator	k + 1	Yes	Not always	10th order MIMO SMIB power system	4th order
Metaheuristic search-based methodologies for optimization of ROM denominator coefficients
PSO DE IMPPA¹⁵	Random	Denominator	k + 1	Not always	Yes	7th order two-area thermal–thermal (non reheated) MIMO power system	3rd order
EDE IMPPA¹⁷	Random	Denominator	k + 1	Not always	Yes	10th order MIMO SMIB power system	3rd order
Metaheuristic search-based methodologies for optimization of ROM numerator and denominator coefficients with initial compact search space selection
BTM MFO^30,31	Compact	Numerator & Denominator	2k + 1	Not always	Yes	7th order two-area thermal–thermal (non reheated) MIMO power system	3rd order
Metaheuristic search-based methodologies for optimization of ROM numerator and denominator coefficients with initial random search space selection
PIV-GWO²¹	Random	Numerator & Denominator	2k + 1	Not always	Yes	19th order TI FO power system	2nd order
Modified SPBO²⁰	Random	Numerator & Denominator	2k + 1	Not always	Not always	South Iran’s power grid, 24th order Biomass gasifier model	2nd order
SPBO⁵⁷	Random	Numerator & Denominator	2k + 1	Not always	Not always	8th -order proton exchange membrane fuel cell system	2nd order
GWO⁵⁸	Random	Numerator & Denominator	2k + 1	Not always	Not always	4th order heavy-duty gas turbine	2nd order
R GWO⁴³	Random	Numerator & Denominator	2k + 1	Not always	Not always	9th order boiler system	3rd order
HHO⁵⁹	Random	Numerator & Denominator	2k + 1	Not always	Not always	12th order three area interconnected wind turbines	2nd order

Balanced truncation method (BTM), Pade approximation method (PAM), big bang big crunch algorithm (BBBCA), time moment matching (TMM), dominant pole retention (DPR), firefly algorithm (FFA), Slime mold optimization (SMO), enhanced DE (EDE), moth flame optimization (MFO), proximity index value (PIV), student psychology-based optimization (SPBO), modified SPBO, Harris Hawkes optimization (HHO).

Back to article page

Search

Advanced search

Quick links