Sürdürülebilir Kalkınma Amaçları
Yayınlar
- BildiriYalnız künye2019Design of a MATLAB GUI for Day Ahead Forecasting of PV Panel Power
Bektas, Sibel Cevik; Cakmak, Recep; Altas, Ismail H.
This paper introduces design and utilization of a MATLAB graphical user interface (GUI) platform to forecast day ahead hourly Photovoltaic (PV) panel power by using forecasted day ahead global horizontal solar radiation. This platform, which would be a useful and practical tool for researchers who are study on energy management, planning and forecasting studies, consists of three parts. The first part predicts day ahead global horizontal solar radiation by trained artificial neural network (ANN) model. The second part performs the calculation of solar irradiation on the module, which has a tilted angle according to forecasting solar radiation data. The last part estimates the power generated by PV panel according to the calculated incident radiation. In this study, the solar irradiation forecasting, the calculation of incident radiation to tilted module and prediction of the solar power to be generated by the PV module are done. The designed GUI has been utilized to forecast solar radiation and PV output power for test days. Then obtained forecasted data have been evaluated with mean absolute percentage error (MAPE) and correlation coefficient (R).
- BildiriYalnız künye2016Scheduling 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.
- BildiriYalnız künye2013The effect of integration types on FLC based MPPT systems
Cakmak, Recep; Altas, Ismail H.
Operating the photovoltaic (PV) array at its maximum power available is important to increase system efficiency. In order to operate PV systems at their maximum power point, many maximum power point tracking (MPPT) methods have been proposed. Fuzzy logic controller (FLC) based MPPT methods have some advantages over classical MPPT methods. The way of using the FLC outputs has an effective role in obtaining the desired results. In this study, the effect of a discrete-time integration method investigated in MPPT including FLC whose output is subjected to integration operation. The system has been designed and simulated in MATLAB/Simulink software. The results were given as a comparison.
- BildiriYalnız künye2012Modeling of FLC-incremental based MPPT using DC-DC boost converter for standalone PV system
Cakmak, Recep; Altas, Ismail H.; Sharaf, Adel M.
This paper presents the modeling of a Fuzzy Logic Controller-Incremental (FLC-Inc.) based maximum power point tracking (MPPT) method and its comparison with traditional Perturb and Observation (P&O) method for standalone photovoltaic (PV) systems. The PV system, which is composed of PV panels, boost converter, MPPT unit and dc load, is modeled and digitally simulated in MATLAB/Simulink. The simulated results are illustrated to show the improvements obtained by the proposed FLC-Inc. based MPPT method.