Harvest Season Artificial Bee Colony, Superior Performances on Combined Economic and Emission Dispatch of Power System

Afandi, A.N.; Miyauchi, Hajime

doi:10.7763/ijcee.2013.v5.768

Cited by 3 publications

(5 citation statements)

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“…Furthermore, ABC is used to optimize processes while determining the best solution. This algorithm, based on Table 3, shows three case studies to demonstrate the IEO's performance using weighting factors [12,26]. WF1 is applied to the objective function to demonstrate OCEC or EO dominance.…”

Section: Resultsmentioning

confidence: 99%

“…The OCEC problem is mathematically related to a nonlinear equation model. Various parameters that have been modeled from existing systems can be used to compile the OCEC in general [12,21]. Where the variables in the real system have been defined as dominant and non-dominant components, or even components that need to be ignored for OCEC, using certain approaches.…”

Section: Developing Approachmentioning

confidence: 99%

“…The MRCPG, as part of the JBPG, should be run economically concerning the OCEC problem. The OCEC problem, which is defined as an optimal scheduled generating unit for contributing in the portion of the unit commitment for power production while supplying the load demand, is one of the most important concerns in power system operations and planning [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Economic Assessment of Power Grid Development Using Artificial Bee Colony Algorithm

Afandi

Wibawa

Patmantara

et al. 2022

Period. Polytech. Elec. Eng. Comp. Sci.

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The electricity system is generally rapidly developing for covering various power demands with requiring a reliable and safe supply where the substructures are expanding further in generation systems, transmission systems, and distribution systems. However, the system must be run economically to access energy at a cost-effective level related to existing energy enterprises and energy consumption in the load which is represented periodically in the total costs of operations for all operating units. As a basis for its determination, the transmission of economic power within the technical limits applicable is taken into consideration. Environmental factors, on the other hand, are also an impediment to technical limitations. As a result, the operation's economic measure is expressed in the process of providing and selling energy to customers. These works use the Artificial Bees Colony algorithm to determine the scheduling of generating units using the basic principle of optimization to describe its relationship as an economic function. The IEEE-30 bus system is used as a basic model for system development. The analysis' findings show that the weighting factor scheme has an impact on the minimum total cost and that the combination of the electricity distribution process and environmental factors has implications for the operational financial condition and electricity production. The power output, in particular, is proportional to the cost of each generating unit.

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Section: Resultsmentioning

confidence: 99%

Section: Developing Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Economic Assessment of Power Grid Development Using Artificial Bee Colony Algorithm

Afandi

Wibawa

Patmantara

et al. 2022

Period. Polytech. Elec. Eng. Comp. Sci.

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show abstract

“…EPSO is also used to cover an environmetal penetration for the pollutants. These pollutants are released in [1]- [5] different kinds, such as CO, CO2, SOx and NOx, through combustion of fossil fuels. The EPSO is currently becoming complex in considering emission dispatch (EmD) in operational terms .…”

Section: Introductionmentioning

confidence: 99%

“…Evolutionary methods were composed to try to create different algorithms for the natural phenomena. These methods are often used to calculate CEED problems as traditional methods are used in large systems and multi-dimensional spaces [1]- [4]. Genetic algorithms are the most popular evolutionary method for a couple of years and are inspired by a natural evolutionary phenomenon.…”

Section: Introductionmentioning

confidence: 99%

Controlling Effect of HSABC Algorithm on the Unit Commitment of Power System Operation

Hiyama

2021

FESPE

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The total operating cost may be expressed in an Economic Power System Operation (EPSO). Technically, this fee is presented to meet total demand for load by individual generating unit costs based on the schedule of engaged energy outputs (EEO). The minimum operating cost is currently achieved by considering economic and emission dispatches, which are made up of the problem of a combined economic and emission dispatch (CEED). The latest artificial intelligent calculation, Harvest Season Artificial Bee Colony Algorithm, is used to identify EEO using the IEEE-62 bus system based on a low cost of CEED. The results of the simulation show that HSABC has short time and rapid convergences. Space areas have various impacts on the performance of HSABC Algorithm on the CEED.

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Optimal scheduling power generations using HSABC algorithm considered a new penalty factor approach

Afandi

2014

The 2nd IEEE Conference on Power Engineering and Renewable Energy (ICPERE) 2014

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Scheduling power generations are very important in power system operations to meet various combinations of generating units for providing electric energy in order to operate more economically for supplying power demands. This strategy is able to cover using a combined economic and emission dispatch (CEED) considered pollutant emission and fuel consumption aspects under operational constraints for optimizing the total operating cost. The pollutant production is embedded in the CEED using a penalty factor to become the same priority cost function. This paper introduces a new penalty factor approach for combining emission and economic dispatches solved using the latest intelligent computation. Results obtained on IEEE-62 bus system show different performances of previous and new penalty factor approaches. Moreover, the CEED is carried out in the similar result for the total power output. The time consumption, operating cost, and speed of the new approach are less than one others while obtaining the optimal solution.

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Harvest Season Artificial Bee Colony, Superior Performances on Combined Economic and Emission Dispatch of Power System

Cited by 3 publications

References 1 publication

Economic Assessment of Power Grid Development Using Artificial Bee Colony Algorithm

Economic Assessment of Power Grid Development Using Artificial Bee Colony Algorithm

Controlling Effect of HSABC Algorithm on the Unit Commitment of Power System Operation

Optimal scheduling power generations using HSABC algorithm considered a new penalty factor approach

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