Sürdürülebilir Kalkınma Amaçları

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Yazarlar

• Altas, I.H.(1)
• Altas, Ismail H.(1)
• Cakmak, R.(1)
• Cakmak, Recep(1)
• Camurcu, A.Y.(1)
• Cetin, A.(1)

• BildiriYalnız künye2018/r/gumushane/15096
  Optimal scheduling of time shiftable loads in a task scheduling based demand response program by symbiotic organisms search algorithm

  Cakmak, R.; Altas, I.H.

  Demand side management is one of the key issues in smart electrical grid studies. Power demand of consumers can be managed via demand response(DR) programs. Task scheduling (TS) based demand response is one of the DR schemes. Objective of the TS approach is to schedule activation time of the appropriate time-shiftable loads to reduce power consumption in peak-demand hours. Heuristic optimization methods can be used to provide this objective. Symbiotic Organisms Search (SOS) and Cuckoo Search (CS) algorithms are two of the most recent heuristic methods. In this paper, scheduling of the time-shiftable home appliances executed by SOS and CS algorithms. Time-shiftable home appliances of the consumers and run time tolerances of them aggregated by mini public survey to achieve results which close to reality. Obtained results are indicated the superiority of the SOS algorithm and demonstrated the positive effects of the demand side management on the electrical grid.

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• BildiriYalnız künye2016/r/gumushane/14991
  Scheduling of domestic shiftable loads via Cuckoo search optimization algorithm

  Cakmak, Recep; Altas, Ismail H.; Cetin, A.; Camurcu, A.Y.

  Electrical power systems have been developed to more advanced structures called as smart grids. Among many other issues, demand side management (DSM) is one of the important instruments of the smart grids. DSM techniques increase the efficiency of the grid, and modify consumer's electrical demand via demand response (DR) programs using financial incentives. In this study, shiftable domestic loads scheduled by Cuckoo search algorithm (CSA) to ensure balanced load curve as much as possible while considering the consumers' preferences. The main motivation of this paper is scheduling the usage hours of the shiftable household appliances in a neighborhood by applying the recently developed metaheuristic CSA. This paper proposes an approach to increase the efficiency and lifetime of utility network by scheduling and operating shiftable domestic loads while considering consumer's demand in terms of financial benefits. Proposed CSA based scheduling mechanism is compared with that of Genetic algorithm (GA). The results reveal positive effects of the scheduling and the performance of the CSA over GA.

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