Optimal Power Flow Solution Including Stochastic Renewable Resources

This paper proposes a probabilistic power flow multiobjective optimization for solving a hybrid wind and solar power system. In this study, some conventional generators are replaced with renewable sources as wind and photovoltaic (PV) power for IEEE 30-bus standard test system. The randomness of pow...

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Bibliographic Details
Published in:	2018 6th International Renewable and Sustainable Energy Conference (IRSEC) pp. 1 - 6
Main Authors:	Daqaq, Fatima, Ouassaid, Mohamed, Ellaia, Rachid, Zeine, Ahmed Tchvagha
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-12-2018
Subjects:	flower polination Generators Load flow Mathematical model multi-objective optimization optimal power flow Optimization Probability density function Solar PV power Wind power Wind power generation
Online Access:	Get full text
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Summary:	This paper proposes a probabilistic power flow multiobjective optimization for solving a hybrid wind and solar power system. In this study, some conventional generators are replaced with renewable sources as wind and photovoltaic (PV) power for IEEE 30-bus standard test system. The randomness of power generated by wind and PV is modeled. The problem is solved based on expected values of generated renewable power using the Probability Density Function (PDF) and the Cumulative Density Function (CDF). Weibull and lognormal probability density function are used to calculate available wind and solar power, respectively. Two cases (with and without renewable sources) were considered in the evaluation. The simulation results show that the proposed algorithm ensures better performance than other optimization approaches found in the literature.
ISSN:	2380-7393
DOI:	10.1109/IRSEC.2018.8702843