A modified hybrid EP–SQP approach for dynamic dispatch with valve-point effect

Victoire, T. Aruldoss Albert; Jeyakumar, A. Ebenezer

doi:10.1016/j.ijepes.2005.06.006

Cited by 150 publications

(82 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this test case, a 10 thermal generating system [18] is determined for DED with valve-point loading effect, transmission losses, real power balance, generator output limits and unit ramp rate limits are taken into account. The transmissions B-loss Matrix are indicated in [24].…”

Section: Nominal Test Case (10 Thermal Generating System)mentioning

confidence: 99%

See 1 more Smart Citation

Scheduling practical generating system using an improved bacterial swarm optimization

Raviprabakaran

Ravichandran

2016

Teh. vjesn.

View full text Add to dashboard Cite

Original scientific paper This paper offers an improved technique namely, Quorum sensing based Bacterial Swarm Optimization (QBSO) technique to solve Practical Dynamic Economic Dispatch (PDED) problem. Quorum sensing is the communication signalling mechanism that permits the bacteria to organize the collective behaviour. The enhanced QBSO method improves the exploration capability of bacterial swarm. The practicability of the proposed method is tested on standard 10 generating unit system and the public practical south Indian 20 thermal generating system with recorded load demand profiles. The enhanced technique increases the operational speed of scheduling and reduces the generating cost of standard system and the thermal generating units owned by Tamilnadu Generation and Distribution Corporation Limited (TANGEDCO). The presented technique outperforms when compared with conventional bacterial swarm optimization technique and some recently published methods. Keywords: Dynamic Economic Dispatch; Practical Load Demand Profiles; Quorum Sensing based Bacterial Swarm Optimization; 20 South Indian Thermal UnitsProgramiranje praktičnog sustava generiranja uporabom poboljšane optimizacije bakterijskog roja Izvorni znanstveni članak Ovaj rad nudi poboljšanu metodu, naime, Quorum sensingbased Bacterial Swarm Optimization (QBSO) metodu za rješavanje problema praktične dinamične ekonomične isporuke -Practical Dynamic Economic Dispatch (PDED). Prepoznavanje kvoruma je mehanizam za signaliziranje komunikacije koji omogućuje organiziranje kolektivnog ponašanja bakterija. Poboljšana QBSO metoda povećava istraživačku sposobnost roja bakterija. Praktičnost predložene metode ispitana je na standardnomsustavu od 10 jedinicageneriranja energije i javnom praktičnom južno indijskom sustavu od 20 jedinica za generiranjetoplinske energije sa snimljenim profilima potrebnogopterećenja. Ta poboljšana metoda povećava operativnu brzinu programiranjaoperacija i smanjuje troškove generiranja standardnog sustava i jedinicaza dobivanje toplinske energije u vlasništvu Tamilnadu Generation and Distribution Corporation Limited (TANGEDCO). Prikazana metodaje bolja u usporedbi s konvencionalnom metodom optimizacije roja bakterija inekim nedavno objavljenim metodama.Ključne riječi: dinamična ekonomična isporuka; 20 South Indian Thermal Units; optimizacija roja bakterija temeljena naprepoznavanju kvoruma; praktični profili potreba opterećenja

show abstract

Section: Nominal Test Case (10 Thermal Generating System)mentioning

confidence: 99%

“…The different hybridized sequential technique includes GA-BFO [14], PSO-BFO [15], DE-SQP [16], TVAC-IPSO [17] and EP-SQP [18] is proposed for obtaining better quality solutions of DED problems. Although the sequential integration technique conveys superior quality results, it has certain deficiencies.…”

Section: Introductionmentioning

confidence: 99%

Scheduling practical generating system using an improved bacterial swarm optimization

Raviprabakaran

Ravichandran

2016

Teh. vjesn.

View full text Add to dashboard Cite

show abstract

“…The inclusion of the valve-point effects is advantageous and makes the modeling of the fuel-cost function more realistic [11][12][13]. However, the valve-point effects, which appear as a sinusoidal term added to the fuel-cost functions, introduce ripples to the heat-rate curve, and, therefore, create more local minima in the search space.…”

Section: Mathematical Form Of Edvpmentioning

confidence: 99%

Solution of Different Types of Economic Load Dispatch Problems Using a Pattern Search Method

Alsumait

Sykulski

Al-Othman

2008

Electric Power Components and Systems

View full text Add to dashboard Cite

“…Hybrid techniques are used to solve the DED problem, such as Hybrid Immune-Genetic Algorithm (IGA) [22], hybridization of Artificial Immune System and Sequential Quadratic Programming (AIS-SQP) [23], modified hybrid Evolutionary Programming-Sequential Quadratic Programming (EP-SQP) [24], Hybrid Differential Evaluation (HDE) [29], Chaotic Differential Bee Colony Optimization (CDBCO) [30], Improved Chaotic Particle Swarm Optimization (ICPSO) [31], Chaotic Self Adaptive Particle Swarm Optimization (CSA-PSO) [32], Enhanced Adaptive Particle Swarm Optimization (EAPSO) [33], Time Varying Acceleration Coefficient -Improved Particle Swarm Optimization (TVAC-IPSO) [34], Adaptive Hybrid Differential Evolution (AHDE) [38], hybrid methods are consuming more time to compute the results. Because the structure…”

Section: Introductionmentioning

confidence: 99%