Abstract:Smart grids are considered as key solutions to solve current power security issues. Among these suggestions, microgrid is proposed to integrate distributed generations (DGs) such as photovoltaic (PV) system into the network and the control of DGs output power is getting more attention. The output power of PV arrays with nonlinear characteristics is affected by temperature, solar irradiation and load. Various maximum power point tracking (MPPT) methods for photovoltaic (PV) power systems have been considered an… Show more
“…The control parameter of the power electronics stage is the switching duty cycle of the PWM signal of the MPPT controller. Therefore, another approach to maximize the output power of the PV system is based on the relationship curve between the PV system output power and the PWM duty cycle [21,22]. Figure 6 shows a typical hill-shaped PV array output power curve with respect to the PWM duty cycle, where P PV is the PV array output power and D represents the PWM duty cycle of a DC/DC boost converter [21].…”
Section: Hill Climbing Algorithmmentioning
confidence: 99%
“…The advantage of the HC MPPT algorithm is its simplicity. Furthermore, the MPP can be tracked accurately when the solar irradiance increases rapidly [21]. However, it is only effective in the case of using a small value of the duty cycle steps.…”
Section: Hill Climbing Algorithmmentioning
confidence: 99%
“…At this moment, the MPPT controller will increase the duty cycle D according to the HC algorithm as ∆P PV > 0 and ∆D > 0. From [21], when the solar irradiation increases, the duty cycle at the MPP (D MPP ) is also widened. Hence, the MPP moves to the right of the power and duty cycle plane.…”
Section: Suddenly Increasing Solar Irradiationmentioning
confidence: 99%
“…The duty cycle D should be increased in the following cycle. This adjustment of D is also applied in the case of stable irradiation [21]. Path 1 in Figure 13 presents the adaptiveness of the proposed method in this case.…”
Section: Suddenly Increasing Solar Irradiationmentioning
confidence: 99%
“…Hence, MPPT techniques can improve the PV system's performance and reduce the total system cost. Multiple MPPT techniques have been developed and improved in the literature and widely used in practice, such as Perturb and Observe (P&O), Incremental Conductance (INC), and Hill Climbing (HC) [20][21][22][23][24][25]. In general, they aim to quickly track the MPP operation point under such continuously changing conditions and generate small output power fluctuation.…”
In microgrids, distributed generators that cannot be dispatched, such as a photovoltaic system, need to control their output power at the maximum power point. The fluctuation of their output power should be minimized with the support of the maximum power point tracking algorithm under the variation of ambient conditions. In this paper, a new maximum power point tracking method based on the parameters of power deviation (ΔPPV), voltage difference (ΔVPV), and duty cycle change (ΔD) is proposed for photovoltaic systems. The presented algorithm achieves the following good results: (i) when the solar radiance is fixed, the output power is stable around the maximum power point; (ii) when the solar radiance is rapidly changing, the generated power is always in the vicinity of maximum power points; (iii) the effectiveness of energy conversion is comparable to that of intelligent algorithms. The proposed algorithm is presented and compared with traditional and intelligent maximum power point tracking algorithms on the simulation model by MATLAB/Simulink under different radiation scenarios to prove the effectiveness of the proposed method.
“…The control parameter of the power electronics stage is the switching duty cycle of the PWM signal of the MPPT controller. Therefore, another approach to maximize the output power of the PV system is based on the relationship curve between the PV system output power and the PWM duty cycle [21,22]. Figure 6 shows a typical hill-shaped PV array output power curve with respect to the PWM duty cycle, where P PV is the PV array output power and D represents the PWM duty cycle of a DC/DC boost converter [21].…”
Section: Hill Climbing Algorithmmentioning
confidence: 99%
“…The advantage of the HC MPPT algorithm is its simplicity. Furthermore, the MPP can be tracked accurately when the solar irradiance increases rapidly [21]. However, it is only effective in the case of using a small value of the duty cycle steps.…”
Section: Hill Climbing Algorithmmentioning
confidence: 99%
“…At this moment, the MPPT controller will increase the duty cycle D according to the HC algorithm as ∆P PV > 0 and ∆D > 0. From [21], when the solar irradiation increases, the duty cycle at the MPP (D MPP ) is also widened. Hence, the MPP moves to the right of the power and duty cycle plane.…”
Section: Suddenly Increasing Solar Irradiationmentioning
confidence: 99%
“…The duty cycle D should be increased in the following cycle. This adjustment of D is also applied in the case of stable irradiation [21]. Path 1 in Figure 13 presents the adaptiveness of the proposed method in this case.…”
Section: Suddenly Increasing Solar Irradiationmentioning
confidence: 99%
“…Hence, MPPT techniques can improve the PV system's performance and reduce the total system cost. Multiple MPPT techniques have been developed and improved in the literature and widely used in practice, such as Perturb and Observe (P&O), Incremental Conductance (INC), and Hill Climbing (HC) [20][21][22][23][24][25]. In general, they aim to quickly track the MPP operation point under such continuously changing conditions and generate small output power fluctuation.…”
In microgrids, distributed generators that cannot be dispatched, such as a photovoltaic system, need to control their output power at the maximum power point. The fluctuation of their output power should be minimized with the support of the maximum power point tracking algorithm under the variation of ambient conditions. In this paper, a new maximum power point tracking method based on the parameters of power deviation (ΔPPV), voltage difference (ΔVPV), and duty cycle change (ΔD) is proposed for photovoltaic systems. The presented algorithm achieves the following good results: (i) when the solar radiance is fixed, the output power is stable around the maximum power point; (ii) when the solar radiance is rapidly changing, the generated power is always in the vicinity of maximum power points; (iii) the effectiveness of energy conversion is comparable to that of intelligent algorithms. The proposed algorithm is presented and compared with traditional and intelligent maximum power point tracking algorithms on the simulation model by MATLAB/Simulink under different radiation scenarios to prove the effectiveness of the proposed method.
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