Parameters extraction of photovoltaic sources based on experimental data

Waly, Mostafa I.; Azazi, Haitham Z.; Osheba, Dina S. M.; El-Sabbe, Awad E.

doi:10.1049/iet-rpg.2018.5418

Cited by 34 publications

(21 citation statements)

References 31 publications

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“…The PV modules type considered in this paper is the SUNSET Poly-Crystalline model [PTSP250P-6-60], which contains 60 PV cells. The parameters of this module were estimated experimentally in [41]. The PV module parameters are listed in Table 2.…”

Section: Applications 51 Description Of Test Systemsmentioning

confidence: 99%

A Proposed Uncertainty Reduction Criterion of Renewable Energy Sources for Optimal Operation of Distribution Systems

et al. 2022

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Power system operation and planning studies face many challenges with increasing of renewable energy sources (RESs) penetration. These challenges revolve around the RESs uncertainty and its applications on probabilistic forecasting, power system operation optimization and power system planning. This paper proposes a novel and effective criterion for uncertainties modeling of the RESs as well as system loads. Four sorting stages are applied for the proposed uncertainty cases reduction. Added to that, it proposes three different uncertainty reduction strategies for obtaining different accuracy and speed options. The proposed reduction strategies are tested on medium and large scale distribution systems; IEEE 69-bus and 118-bus systems. The obtained results verify the effectiveness of the proposed criterion in uncertainties modeling in distribution systems with acceptable level of accuracy.

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Section: Applications 51 Description Of Test Systemsmentioning

confidence: 99%

A Proposed Uncertainty Reduction Criterion of Renewable Energy Sources for Optimal Operation of Distribution Systems

et al. 2022

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“…The third test system has 123 buses, with 4.16 kV voltage level, and 3524.887 kW total active demand, and 1940.083 kVAR total reactive demand. These feeders are complex as each one is characterised by spot The model parameter was estimated experimentally in [28]. The control variable maximum and minimum limits are reported in Table 1.…”

Section: Test Distribution Systems and Uncertainty Datamentioning

confidence: 99%

Optimal planning of uncertain renewable energy sources in unbalanced distribution systems by a multi‐objective hybrid PSO–SCO algorithm

Ali

El‐Sehiemy

El‐Ela

et al. 2022

IET Renewable Power Gen

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High penetration of Renewable Energy Sources into unbalanced distribution systems faces many challenges due to the uncertainty nature of both Renewable Energy Sources and loads as well as the unbalance degree of the distribution systems. This paper proposes the planning of Renewable Energy Sources in unbalanced distribution systems. Different types of Renewable Energy Sources, photo-voltaic and Wind are considered. A multi-objective optimisation problem is formulated using non-dominated sort and crowing distance for multi objective hybrid algorithm that combines the merits of Particle Swarm Optimisation and Sine Cosine Optimisation algorithms. Three objectives, improving voltage profile, power losses minimisation, and minimisation of voltage unbalance, are considered. The proposed method determines the optimal Renewable Energy Sources' specifications such as site/size/type of distributed generators, number of photo-voltaic modules or wind turbines in each distributed generator and their power factor and connection phases. Also, it determines the optimal setting of substation tap changer and system voltage regulators. Moreover, both Renewable Energy Sources and loads uncertainty are considered and modelled using Monte Carlo simulations. An improved matrix-based backward-forward load flow method is developed by using coefficient matrices. The proposed procedure is conducted on IEEE 13-node, 37-node, and 123-node unbalanced distribution systems. The proposed algorithm results compared with individual optimisers show significant performance improvements. The optimal plans resulted by using the proposed hybrid algorithm achieve a reduction in power losses that reached 89% in some cases. Also, the system unbalance index is reduced with a ratio reached 34%. Large improvement in the system voltages profile all over the year is achieved as the system voltage profile index is reduced by a ratio reached 70%.

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“…The WE sources are modeled by the DFIG detailed model (type‐4) . The PV plants are modeled using the equivalent model described in References and using the single diode model to simulate each PV cell. The transient performance is studied when the system is subjected to a three‐phase short circuit fault at the location, F , as shown in Figure , and lasts for 120 milliseconds through the subsequent cases.…”

Section: Transient Performance Analysismentioning

confidence: 99%

Assessment of optimal allocation of renewable distributed generator sources in distribution network

Nasef

Osheba

Khattab

et al. 2020

Engineering Reports

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The integration of distributed generators (DGs) into distribution networks in optimal allocation is one of the main issues facing power system engineers to ensure improved stability and economic operation. This article presents a detailed analysis of the impacts of the optimal allocation and the number of DGs on both system steady-state and transient performances of distribution networks. An oscillatory particle swarm optimization (OPSO) algorithm was used to find the optimal allocations of DGs via minimizing various objective functions that deal with Total Transmission Losses, Voltage Regulation, and Power Performance Index. The OPSO is used to optimize these functions as a single and as a multiobjective optimization problem. The effectiveness of the method is demonstrated with the IEEE-14 bus as an example of distribution networks with a 50% increase in system loading. Two penetration scenarios have been considered, the optimal sizes and locations of DGs are obtained, and the results are presented.In addition, the impact of the penetration level of Photovoltaic and Wind Energy sources on transient performance is obtained using detailed nonlinear models of both synchronous machines and DGs sources. The system response is then obtained when the system is subjected to a three-phase short circuit fault for six cycles and the results are presented in a comparative form for different penetration levels. The techniques and results presented in the article form a useful base for power system engineers in planning and operating distribution systems with high penetration levels of RDG sources. K E Y W O R D Sconcentrated and distributed DG (C-DG, D-DG), distributed generation (DG), optimal DG allocations, oscillatory PSO, penetration level.

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Parameters extraction of photovoltaic sources based on experimental data

Cited by 34 publications

References 31 publications

A Proposed Uncertainty Reduction Criterion of Renewable Energy Sources for Optimal Operation of Distribution Systems

A Proposed Uncertainty Reduction Criterion of Renewable Energy Sources for Optimal Operation of Distribution Systems

Optimal planning of uncertain renewable energy sources in unbalanced distribution systems by a multi‐objective hybrid PSO–SCO algorithm

Assessment of optimal allocation of renewable distributed generator sources in distribution network

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