A novel hybrid PSO–GWO approach for unit commitment problem

Kamboj, Vikram Kumar

doi:10.1007/s00521-015-1962-4

“…Depending on load variations, the output of generators has to be changed to meet the balance between loads and generation of a power system. The power system model consists of n generating units already connected to the system [34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50].…”

Section: Problem Formulationmentioning

confidence: 99%

“… The Variables [34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50] Power Generation (PG) and cost coefficients (a,b,c) of units with objective function as fuel cost, quadratic in nature. Power Generation variable should be initialized as starting point for initial solution in ALO [ 51] where A is power generation values.…”

Section: Optimal Economic Power Dispatch Formulation Using Alomentioning

confidence: 99%

Ant Lion Optimizer based Approach for Optimal Scheduling of Thermal Units for Small Scale Electrical Economic Power Dispatch Problem

Tung¹,

Chakravorty²

2016

IJGDC

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“…Depending on load variations, the output of generators has to be changed to meet the balance between loads and generation of a power system. The power system model consists of n generating units already connected to the system [34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50]. The EEPDP problem can be expressed as.…”

Section: Problem Formulationmentioning

confidence: 99%

“… The Variables [34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50] Power Generation (PG) and cost coefficients (a,b,c) of units with objective function as fuel cost, quadratic in nature. Power Generation variable should be initialized as starting point for initial solution in WCA [ 51].…”

Section: Optimal Power Dispatch Formulation Using Wcamentioning

confidence: 99%

See 1 more Smart Citation

Water Cycle Algorithm for Small Scale Electrical Economic Power Dispatch Problem

Tung¹,

Chakravorty²

2016

IJHIT

0

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A novel binary variant model of swarm inspired polar bear optimization algorithm employed for scalable unit commitment

Haq

¹

,

Ahmad

²

,

Ikram

³

et al. 2020

Int Trans Electr Energ Syst

5

0

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Summary For an effective and reliable power system, determining the optimal state of the accessible producing units is the key step, which comprises of two segments; making decision in committing the generators (unit commitment) followed by the decision‐making of their active power allocation (economic dispatch). Unit commitment (UC) problem is a mixed‐integer bit transition‐state optimization problem to which classical optimizing tools strive to evaluate, whereas metaheuristic methods prove to be a healthy attempt. In this study, a binary model of the polar bear optimization (BPBO) algorithm is developed and is utilized to solve this combinatorial problem. Polar bear optimization (PBO) is a newly developed swarm‐based approach, simulating three mechanisms in one technique in the form of effectual exploration and exploitation phase along with dynamic control of population size. BPBO uses a modified sigmoid conversion function to produce the state bits (ON/OFF) of the units. These three potent procedures help in determining the optimal transition state of units by varying the size of the search agents. For solving the economic dispatch problem (EDP), the conventional lambda iteration method is used. Repairing of the infeasible bit is also carried out by applying heuristic adjustments. To illustrate the vitality of the BPBO, it is modeled in “MATLAB 2016a” and tested on IEEE 4, 5, 10, 20, 40, 60, 80, and 100‐unit test systems. Comparative evaluation in terms of optimum combinations, active power allocation, and simulation time with other available methodologies is also done, resulting in a progressive approach with superiority to other recent methods.

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A novel hybrid PSO–GWO approach for unit commitment problem

Cited by 164 publications

References 28 publications

Ant Lion Optimizer based Approach for Optimal Scheduling of Thermal Units for Small Scale Electrical Economic Power Dispatch Problem

Ant Lion Optimizer based Approach for Optimal Scheduling of Thermal Units for Small Scale Electrical Economic Power Dispatch Problem

Water Cycle Algorithm for Small Scale Electrical Economic Power Dispatch Problem

A novel binary variant model of swarm inspired polar bear optimization algorithm employed for scalable unit commitment

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