Performance assessment of PSO, DE and hybrid PSO–DE algorithms when applied to the dispatch of generation and demand

Araújo, Thaís de Fátima; Uturbey, Wadaed

doi:10.1016/j.ijepes.2012.11.002

Cited by 51 publications

(14 citation statements)

References 32 publications

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“…Fitness function of each particle is evaluated, where the best value of the movement of each particle and the best value of the swarm. In the next process, the DE method is taking place [31].…”

Section: Hybrid Differential Evolution Particle Swarm Optimizationmentioning

confidence: 99%

“…After passing through the DE process, the particles will be more accumulated or focused on the smaller search space so that this can speed up the discovery of the best solution. Furthermore, the particles on the swarm perform the same procedure as the PSO algorithm in general [31]. The oscillation of the rotor speed in the machine reflects the electromechanical oscillation of the system.…”

Section: Hybrid Differential Evolution Particle Swarm Optimizationmentioning

confidence: 99%

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Optimization based Design of Dual Input PSS for Improving Small Signal Stability of Power System with RESs

Setiadi¹,

Mithulananthan²,

Krismanto³

et al. 2019

ijeei

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This paper proposes a method to enhance the small signal stability performance of power system considering high RESs penetration. A hybrid differential evolution-particle swarm optimization (DE-PSO) is used to design and tune DIPSS parameters. Eigenvalue, damping performance, and time domain simulation are thoroughly investigated to analyze the system performance using DIPSS based on hybrid DE-PSO and find how much RESs penetration level can be considered. From the simulation results, it is found that by utilizing DIPSS based on hybrid DE-PSO can enhance the small signal stability performance of power system with significant penetration of RESs.

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Section: Hybrid Differential Evolution Particle Swarm Optimizationmentioning

confidence: 99%

Section: Hybrid Differential Evolution Particle Swarm Optimizationmentioning

confidence: 99%

Optimization based Design of Dual Input PSS for Improving Small Signal Stability of Power System with RESs

Setiadi¹,

Mithulananthan²,

Krismanto³

et al. 2019

ijeei

View full text Add to dashboard Cite

show abstract

“…(3.1): For each uncertain variable, calculate the estimated points and the related weights for each hour using (8)- (12). Step (4): If the objective functions of all particles are computed, go to 5 otherwise go to 3.…”

Section: E Probabilistic Fuzzy Multi-objective Scgdmentioning

confidence: 99%

“…In Ref. 12, a simultaneous generation and demand dispatch scheme is presented using different heuristic algorithms. In this research, incentive based responsive loads are incorporated in the SCGD (security constrained generation dispatch) procedure.…”

Section: Introductionmentioning

confidence: 99%

Optimal generation dispatch incorporating wind power and responsive loads: A chance-constrained framework

Khazali

Kalantar

2015

Journal of Renewable and Sustainable Energy

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This paper presents a novel probabilistic framework for solving the security constrained generation dispatch problem in the presence of wind power and responsive loads. The proposed framework is capable of decreasing the probability or preventing any constraint violations in real time for different combinations of uncertain variables while minimizing the desired objective functions. The presented framework is formulated as a chance constrained problem using the point estimate method to calculate the probabilistic characteristics of output variables. The objective functions which are studied in this work are total operation costs, emissions, and security indexes. Also a probabilistic multi-objective framework is developed to optimize all objective functions concurrently. To study the effect of responsive loads, two different cases are studied neglecting and regarding demand response resources. The proposed method is studied on the IEEE 30-bus system and the results are presented and compared with results obtained from the deterministic generation dispatch framework. V C 2015 AIP Publishing LLC.

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“…Hybrid algorithms can also be designed in order to 'seed' or lead another algorithm into a narrow search space. In Araújo et al 2013, PSO is employed to the first 30% of function iterations to perform a global search while for the final 70% of iterations, Differential Evolution (DE) algorithm is employed to perform a local search. DE is similar to PSO, however it has been shown to perform a more thorough exploration of the search space than PSO which can become entrapped in local minima.…”

Section: Hybrid Algorithmsmentioning

confidence: 99%

Development and applications of various optimization algorithms for diesel engine combustion and emissions optimization

Ogren¹

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Performance assessment of PSO, DE and hybrid PSO–DE algorithms when applied to the dispatch of generation and demand

Cited by 51 publications

References 32 publications

Optimization based Design of Dual Input PSS for Improving Small Signal Stability of Power System with RESs

Optimization based Design of Dual Input PSS for Improving Small Signal Stability of Power System with RESs

Optimal generation dispatch incorporating wind power and responsive loads: A chance-constrained framework

Development and applications of various optimization algorithms for diesel engine combustion and emissions optimization

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