scholarly journals Stochastic maximum power point tracking of photovoltaic energy system under partial shading conditions

Author(s):  
Bushra Iqbal ◽  
Ali Nasir ◽  
Ali Faisal Murtaza

AbstractA large portion of the available power generation of a photovoltaic (PV) array could be wasted due to partial shading, temperature and irradiance effects, which create current/voltage imbalance between the PV modules. Partial shading is a phenomenon which occurs when some modules in a PV array receive non-uniform irradiation due to dust, cloudy weather or shadows of nearby objects such as buildings, trees, mountains, birds etc. Maximum power point tracking (MPPT) techniques are designed in order to deal with this problem. In this research, a Markov Decision Process (MDP) based MPPT technique is proposed. MDP consists of a set of states, a set of actions in each state, state transition probabilities, reward function, and the discount factor. The PV system in terms of the MDP framework is modelled first and once the states, actions, transition probabilities, and reward function, and the discount factor are defined, the resulting MDP is solved for the optimal policy using stochastic dynamic programming. The behavior of the resulting optimal policy is analyzed and characterized, and the results are compared to existing MPPT control methods.

Author(s):  
Lunde Ardhenta ◽  
Wijono Wijono

Wind energy and solar energy are the prime energy sources which are being utilized for renewal energy. The performance of a photovoltaic (PV) array for solar energy is affected by temperature, irradiation, shading, and array configuration. Often, the PV arrays are shadowed, completely or partially, by the passing clouds, neighboring buildings and towers, trees, and utility and telephone poles. Under partially shaded conditions, the PV characteristics are more complex with multiple peaks, hence, it is very important to understand and predict the MPP under PSC in order to extract the maximum possible power. This paper presents the development of PV array simulator for studying the I–V and P–V characteristics of a PV array under a partial shading condition. It can also be used for developing and evaluating new maximum power point tracking techniques, for PV array with partially shaded conditions. It is observed that, for a given number of PV modules, the array configuration significantly affects the maximum available power under partially shaded conditions. This is another aspect to which the developed tool can be applied. The model has been experimentally validated and the usefulness of this research is highlighted with the help of several illustrations


Author(s):  
Mustapha Alaoui ◽  
Hattab Maker ◽  
Azeddine Mouhsen ◽  
Hicham Hihi

For the purpose of minimizing greenhouse gas emissions and contributing strongly to the climate change mitigation, many researchers and scientists are making tremendous efforts in order to boost the research and development in renewable energies as an important solution to reduce the use of conventional power generation resources. Solar photovoltaic (PV) energy is widely used and has known a significant interest in last years. However, its dependence on the atmospheric conditions does not allow researchers to perform their experiences at the desired atmospheric parameters especially temperature (T) and irradiance (G). Furthermore, using real PV modules with controllable light source to carry out measurements and tests on PV applications such as Maximum Power Point Tracking (MPPT) and solar connected inverters is considerably inefficient and less flexible. Therefore, PV array emulator were appeared to deal with those limitations and to replace efficiently the use of real PV modules in laboratory tests by delivering similar PV characteristics and mimicking the electrical behavior of PV panels. In addition to the emulation of PV modules under varying environmental conditions, the emulation of PV array under partial shading conditions is an interesting topic especially for the aim of using PV array emulators in testing Global Maximum Power Point Tracking (GMPPT) techniques, which constitute nowadays a huge challenge for PV researchers. This paper presents the design of PV array emulator based on robust sliding mode controller, which is able to emulate accurately the PV array under both uniform solar insolation and partial shading conditions. Simulation results using Matlab Simulink software are presented and discussed so as to investigate the static and dynamic performances of the developed power device.


Author(s):  
Lunde Ardhenta ◽  
Wijono Wijono

Wind energy and solar energy are the prime energy sources which are being utilized for renewal energy. The performance of a photovoltaic (PV) array for solar energy is affected by temperature, irradiation, shading, and array configuration. Often, the PV arrays are shadowed, completely or partially, by the passing clouds, neighboring buildings and towers, trees, and utility and telephone poles. Under partially shaded conditions, the PV characteristics are more complex with multiple peaks, hence, it is very important to understand and predict the MPP under PSC in order to extract the maximum possible power. This paper presents the development of PV array simulator for studying the I–V and P–V characteristics of a PV array under a partial shading condition. It can also be used for developing and evaluating new maximum power point tracking techniques, for PV array with partially shaded conditions. It is observed that, for a given number of PV modules, the array configuration significantly affects the maximum available power under partially shaded conditions. This is another aspect to which the developed tool can be applied. The model has been experimentally validated and the usefulness of this research is highlighted with the help of several illustrations.


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