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    Comparison of ABC and Genetic Algorithms on Economic Power Dispatch
    (Ieee, 2018) Afandi, A.N.; Fadlika, Irham; Sendari, Siti; Miyauchi, Hajime; Fujita, Goro; Tutkun, Nedim
    Recently, an economic evaluation of the power system becomes one of main issues in the power system management since the power production and power selling consider a financial aspect. The system should be operated in the lowest cost and cheaper fee for consumers. In particular, an environmental protection also becomes a major issue to penetrate the pollutant production of thermal power plants. To cover this issue, one of strategies is approached using a combined economic emission dispatch (CEED) considered an economic dispatch (ED) and an emission dispatch (EmD). In these studies, the CEED is optimized using Artificial Bee Colony Algorithm which is contrasted to Genetic Algorithm for comparing both performances. By considering both algorithms, results show that generated powers lead to the total cost and pollutant emission. The total minimum cost is performed in the optimal solution with different speeds. Combinations of ED and EmD also give difference implications.
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    Evaluation of the power transaction considering the transmission use of system charges and system constraints
    (ICIC International, 2018) Afandi, A.N.; Wibawa, A.P.; Padmantara, Syaad; Fadlika, Irham; Gumilar, L.; Wahyono, Irawan Dwi; El-Shimy, Mohamed
    In general, the optimal power transaction is expressed using a total operating cost for the joined generating units while the power delivery is dispatched using a power schedule commitment. These financial aspect and power participation are used to measure all technical processes during providing and selling energy to customers. Moreover, the power delivery to the energy user is also constrained by transmission capabilities associated with transmission charges at all operators. Recently, the power system deregulation leads to sectional charges of the system. In addition, the power system should be operated in the feasible lowest cost under economic and environmental penetrations. To cover both penetrations and technical constraints, artificial bee colony algorithm and artificial salmon tracking algorithm are used to find out the optimal power composition considering transmission charges, generating costs, and pollutant compensations. Results show that the total minimum cost depends on technical factor schemes. Various combined power portions also give numerical implications on the economic operation, power production, and power transaction. In particular, generated powers lead to the total cost and the total pollutant discharge for each generating unit. Power delivery on the system conducts to the delivery fee as the transmission use of system charges. © 2018 ICIC International.