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Page 1, data 1 to 10 of 229, displayed in 10 data per page
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1.

Thunderstorm Algorithm for Assessing Thermal Power Plants of the Integrated Power System Operation with an Environmental Requirement

A.N. Afandi
International Journal of Engineering and Technology (IJET) p-ISSN (2016)

A.N. Afandi [Kumamoto University, Universitas Negeri Malang] (22 records)

Abstract
This paper introduces and proposes a new intelligent computation entitled Thunderstorm Algorithm (TA) which is implemented to assess the power system operation presented using the IEEE-62 bus system model with considering an environmental requirement. Simulations showed that TA has ability to search the solution with good performances as given numerical and graphical results. The proposed algorithm of TA seems strongly to be a new promising opportunity for solving an integrated dispatch problem covered in pollutant production and fuel consumption aspects. Results obtained show that TA is executed in the short time and it reaches the optimal solution in the fast convergence while striking points give different implications on the individual performances at overall phases.

Full article

 
2.

Application of Thunderstorm Algorithm for Defining the Committed Power Output Considered Cloud Charges

A.N. Afandi
International Journal of Advanced Engineering, Management and Science (IJAEMS) (2016)

A.N. Afandi [Kumamoto University, Universitas Negeri Malang] (22 records)

Abstract
This paper presents an application of Thunderstorm Algorithm for determining a committed power output considered cloud charges with various technical constraints and an environmental requirement. These works also implemented on IEEE-62 bus system throughout an operational economic dispatch covered for economic and emission aspects. The results obtained show that statistical and numerical performances are associated with charges. It also presents fast and stable characteristics for the searching speeds. By considering the cloud charge parameter, it contributes to performances and results of Thunderstorm Algorithm. In addition, the introduced algorithm seems strongly to be a new promising approach for defining the committed power output problem.

Full article

 
3.

Thunderstorm Algorithm

A.N. Afandi
PPIJK, Japan (2016)

A.N. Afandi [Kumamoto University, Universitas Negeri Malang] (22 records)

Abstract
At the previous early time, Benjamin Franklin was demonstrated practically the lightning theory throughout an erected media while waiting for completion of the spire aimed his idea of a flying object using a kite. Furthermore, the conduction was conditioned while the string stretching out and a spark jumped in the rain during the storming soaked to the line. Nowadays, the lightning is supposed to contribute an atmospheric discharge which typically occurs during thunderstorms covered many possibility factors. In detail, the lightning development is produced by several steps in terms of the charge separation for providing the first process in the generation of lightning, the leader formation for the moving thundercloud over the earth’s surface to induce the ground charge follows the movement of the cloud, and discharge channel when the electric field becomes strong enough for creating a point of the striking between clouds and the ground. By considering the charge propagation as illustrated in Figure 1, the lightning process is electric discharges in the form of sparks in the which are charged with the negative pole location is deployed in the lower part and the positive pole centre is located at opposite up.

Full article

 
4.

Optimal Scheduling Power Generations Using HSABC Algorithm Considered A New Penalty Factor Approach

A.N. Afandi
ICPERE 2014 (2014)

A.N. Afandi [Kumamoto University, Universitas Negeri Malang] (22 records)

Abstract
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.

Full article

 
5.

Optimal Solution of the EPED Problem Considering Space Areas of HSABC on the Power System Operation

A.N. Afandi
IJET (2015)

A.N. Afandi [Kumamoto University, Universitas Negeri Malang] (22 records)

Abstract
Recently, the emission problem and economic dispatch (EPED) becomes crucial aspects in the power system operation. These aspects are measured technically using financial payments as the total operating cost based on pollutant productions and fuel consumptions throughout individual costs of generating units based on a committed power output to meet a load demand. This paper introduces the newest artificial intelligent computation, harvest season artificial bee colony (HSABC) algorithm, for determining the optimal solution of the EPED based on the operating cost function using IEEE-62 bus system with various operational constraints. Results obtained show that HSABC has short time computations and fast convergences while space areas give different implications on performances. The optimal solution produces various individual power outputs, pollutants, and costs.

Full article

 
6.

Optimal Scheduling Power Generations Using HSABC Algorithm Considered A New Penalty Factor Approach

A.N. Afandi [Kumamoto University, Universitas Negeri Malang] (22 records)

Abstract
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.

Full article

 
7.

HSABC Algorithm for Searching the Optimal Solution of CEED Problem Considering Uncontrolled Distance Placements

A.N. Afandi [Kumamoto University, Universitas Negeri Malang] (22 records)

Abstract
An economic power system operation is able to approach using a total operating cost of generating units. Technically, this problem is presented by a combined economic and emission dispatch (CEED) due to a total load demand. This paper presents performances of a novel intelligent computation, harvest season artificial bee colony (HSABC) algorithm, for obtaining the optimal solution of the CEED problem. Simulation results used IEEE-62 bus system show that HSABC has a smooth convergence and applicability for solving the CEED problem.

Full article

 
8.

The New Opportunity for Carrying Out a Dynamic Economic Dispatch using the Latest Evolutionary Computation Method

A.N. Afandi [Kumamoto University, Universitas Negeri Malang] (22 records)

Abstract
Practically, a power system is operated by combined various types of generating units for determining a committed power schedule to meet load demand changes at all period times of the operation in order to reach the most economical operation. The committed power schedule of generating units is obtained by allocating power outputs based on the given load demand at a certain period time for minimizing the total cost considered some constraints. The total cost changes of operation are expressed by dynamic economic dispatch (DED) problems with considering load demand changes for each period time of the operation. In this paper, the harvest season artificial bee colony (HSABC) algorithm is used to solve the DED problem for 24 hours of operating times using IEEE-30 bus system. Simulation results show thatthe best solution of the problem is obtained by HSABC within theshortest iteration step. The computations used load demand changes for all period times are quick and smooth with stable characteristics of convergences. The DED problem is solved using HSABC in different convergence speeds, power outputs and total operating costs for 24 hours.

Full article

 
9.

Transient Stability Evaluation of the Power Generation under a Blackout Condition based on the Branch Tripping Scenario

A.N. Afandi [Kumamoto University, Universitas Negeri Malang] (22 records)

Abstract
An operational condition of a power system is able to affect to stability performances after disturbed by a certain fault on the interconnection system. Moreover, this fault also gives impact to the blackout situation created by a large disturbance as disconnecting back bone lines of the interconnection system. In detail, this case is presented in this paper for evaluating transient stability performances of generating units while producing energy for the load center online the power system operation with the blackout situation designed using a branch tripping method. Furthermore, the transient stability responses are subjected to the power generation of the electric power system in Malang Raya as a real system operation for interacting the generating and demand sites. Results obtained show that voltage changes of Wlingi power station is 0.944 pu to 0.946 pu and its overshoot is 0,962. But the other overshoot of the power generation in Sutami remained to 0.968 pu at 0.5 second after appearing a blackout fault and its voltage increase to 0.952 pu from 0.948 pu at the final stable position.

Full article

 
10.

Optimal Solution of the EPED Problem Considering Space Areas of HSABC on the Power System Operation

A.N. Afandi [Kumamoto University, Universitas Negeri Malang] (22 records)

Abstract
Recently, the emission problem and economic dispatch (EPED) becomes crucial aspects in the power system operation. These aspects are measured technically using financial payments as the total operating cost based on pollutant productions and fuel consumptions throughout individual costs of generating units based on a committed power output to meet a load demand. This paper introduces the newest artificial intelligent computation, harvest season artificial bee colony (HSABC) algorithm, for determining the optimal solution of the EPED based on the operating cost function using IEEE-62 bus system with various operational constraints. Results obtained show that HSABC has short time computations and fast convergences while space areas give different implications on performances. The optimal solution produces various individual power outputs, pollutants, and costs.

Full article

 

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PPI Jepang 2012