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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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    Designed operating approach of economic dispatch for java bali power grid areas considered wind energy and pollutant emission optimized using thunderstorm algorithm based on forward cloud charge mechanism
    (Praise Worthy Prize S.r.l, 2018) Afandi, A.N.; Wibawa, A.P.; Padmantara, Syaad; Fujita, Goro; Triyana, W.; Sulistyorini, Yunis; Gao, X.Z.
    Due to ecological and economic benefits, variable energy sources are considered as a key factor in the world-wide energy security. The main operational problems associated with these sources are their variability and intermittency. Therefore, the inclusion in the fleet of the energy mix as the standard conventional generators is difficult. The wind energy is among the most dominant renewable source. Furthermore, this paper focuses on the inclusion of the wind energy impact on the Economic Dispatch (ED) optimization problem. The ED problem also considers the minimization of pollutant emissions from fossil-based sources. The Thunderstorm Algorithm (TA) is presented in this paper as a new intelligent computation technique for optimizing the Integrated Wind Energy and Pollutant Emissions into the Economic Dispatch (IWEPEED) problem. The algorithm is tested on the modified IEEE 62-bus system with wind energy integrated into the system as an area developing model of Java Bali Power Grid development. The results show the potential and success of the TA for solving the IWEPEED optimization problem with a short computational time and a fast convergence. © 2018 Praise Worthy Prize S.r.l. - All rights reserved.
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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.
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    Low cost operation of an off-grid wind-PV system electrifying residential homes through combinatorial optimization by the RCGA
    (Institute of Electrical and Electronics Engineers Inc., 2018) Tutkun, Nedim; Can, Özay; Afandi, A.N.
    A low power off-grid wind-photovoltaic system is increasingly used to energize residential homes in remote areas where no grid utility or grid extension is available. An economic design of such a system for 20-year lifetime requires optimal unit sizing as well as investment, operation and maintenance costs. However power generation by this system varies from one day to another due to irregular natures of wind speed and solar irradiation. Therefore battery storage is needed to integrate into this system if all the electrical appliances are desired to uninterruptedly feed and this requires to efficiently manage battery operation. Besides, load shifting can be applied to such a system through controllable loads in order to balance generation and consumption at each time interval as much as possible. One way to balance generation and consumption in a specified period is possible to solve a discrete optimization problem defined as minimization of daily cost with few constraints for optimal time slots. In this study, minimization of total cost for such system is achieved by the real-coded genetic algorithms technique from various aspects. The results obtained are meaningful and encouraging to design and operate such a low cost system. © 2017 IEEE.
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    Renewable Energy Inclusion on Economic Power Optimization using Thunderstorm Algorithm
    (Ieee, 2017) Afandi, A.N.; Sulistyorini, Yunis; Fujita, Goro; Khai, Nguyen Phuc; Tutkun, Nedim
    This paper presents an economic operation considered renewable energy which is optimized using thunderstorm algorithm. The problem is constrained by an emission standard and various technical limits implemented on the 62-bus system model. Simulations showed that the renewable energy inclusion penetrates to the unit commitment of generating units with strongly approach for the computational solution. This inclusion also affects to the individual power production in accordance to the fuel cost and pollutant discharge.
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    Renewable energy inclusion on economic power optimization using thunderstorm algorithm [2]
    (Institute of Advanced Engineering and Science, 2017) Afandi, A.N.; Fujita, G.; Khai, N.P.; Sulistyorini, Y.; Tutkun, Nedim
    This paper presents an economic operation considered renewable energy which is optimized using thunderstorm algorithm. The problem is constrained by an emission standard and various technical limits implemented on the 62-bus system model. Simulations showed that the renewable energy inclusion penetrates to the unit commitment of generating units with strongly approach for the computational solution. This inclusion also affects to the individual power production in accordance to the fuel cost and pollutant discharge. © 2018, Institute of Advanced Engineering and Science. All rights reserved.