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Determining the Capacity of Combined Distribution Generation Resources in an Independent Distributed Network Considering the Uncertainty Behavior of Load and Energy Resource


Affiliations
1 Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Arak, Iran, Islamic Republic of
2 Department of Electrical Engineering, Arak University, Arak, Iran, Islamic Republic of
 

This paper deals with the selection type and capacity of hybrid DGs in a stand–alone distribution system considering random behavior of loads and generators in augmenting renewable energy sources. Two methods were used to determine the capacity: by using Deterministic Parameters irrespective of stochastic behavior of loads and generators; the other was by considering the random behavior of renewable energies and loads. The objective is to minimize the cost and reliability constraint problem. In fact, the problem of capacity determination is expressed as a non-linear optimization problem. The combination of considered DG is wind, solar and battery that is independent from the network. The capacity was determined with respect to random behavior of DG and load. We used the Probability Density Function for DG and sequence Monte Carlo Method for load determination. Intelligent Algorithm (PSO) was used to find out the optimal capacity of DGs. All of the simulations were made in MATLAB software.

Keywords

Wind Energy, Solar Energy, Battery, Monte Carlo, Algorithm of Particle Mass
User

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  • Determining the Capacity of Combined Distribution Generation Resources in an Independent Distributed Network Considering the Uncertainty Behavior of Load and Energy Resource

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Authors

Masoud Ghazipour Shirvan
Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Arak, Iran, Islamic Republic of
Ali Asghar Ghadimi
Department of Electrical Engineering, Arak University, Arak, Iran, Islamic Republic of

Abstract


This paper deals with the selection type and capacity of hybrid DGs in a stand–alone distribution system considering random behavior of loads and generators in augmenting renewable energy sources. Two methods were used to determine the capacity: by using Deterministic Parameters irrespective of stochastic behavior of loads and generators; the other was by considering the random behavior of renewable energies and loads. The objective is to minimize the cost and reliability constraint problem. In fact, the problem of capacity determination is expressed as a non-linear optimization problem. The combination of considered DG is wind, solar and battery that is independent from the network. The capacity was determined with respect to random behavior of DG and load. We used the Probability Density Function for DG and sequence Monte Carlo Method for load determination. Intelligent Algorithm (PSO) was used to find out the optimal capacity of DGs. All of the simulations were made in MATLAB software.

Keywords


Wind Energy, Solar Energy, Battery, Monte Carlo, Algorithm of Particle Mass

References





DOI: https://doi.org/10.17485/ijst%2F2013%2Fv6i12%2F43604