Abstract

The placement problem of distributed generators (DGs) in distribution networks becomes much more complicated in the case of using the DGs with renewable energy resources. Due to several reasons such as, their intermittent output powers, the interactions between DGs and the rest of the distribution network, and considering other involved uncertainties are very vital. This paper develops a new approach for optimal placement of wind energy based DGs (WDGs) in which all of such influences are carefully handled. The proposed method considers the time variations of dynamic nodal demands, nodal voltage magnitudes, and wind speed in the WDG placement process simultaneously. Thereby, an accurate dynamic model of the active and reactive powers injected by the WDG to the system is employed in which the interactions between the WDG and the distribution network are well regarded. Finally, simulation results are given to show the capability of the proposed approach. As it is demonstrated in the numerical analysis of the radial 33-bus distribution test network, the proposed placement algorithm can efficiently determine the optimal bus for connecting the WDG and is suitable for real applications.

Highlights

  • Nowadays, there is an increasing effort for employing various types of distributed generations (DGs) in distribution networks to supply some part of the electricity demand [1]

  • The dynamic behavior of wind energy based DGs (WDGs) is taken into account while they are connected to the grid

  • The time-profiles of input data are modeled regarding the fact that the WDG placement problem is a type of planning problem, in which the long-term behaviors of the input data should be taken into account

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Summary

Introduction

There is an increasing effort for employing various types of distributed generations (DGs) in distribution networks to supply some part of the electricity demand [1]. Is it not possible to assume a constant value for the power factor of a WDG, and its accurate time variations cannot be calculated This obviously demonstrates the complexity of the placement problem for DGs with renewable energy resources that necessitate regarding all the interactions between the different components of the system (i.e., the loads, DGs, and the distribution network itself), which none of the previous papers have done. For this purpose, the dynamic behavior of WDGs is taken into account while they are connected to the grid.

Problem Definition and Formulation
2.1.Objective
E LossWithDG
Models of Time-Variant Wind Speed and Nodal Demands
Monthly Average Diurnal Wind Speed Patterns
Monthly
Grid-Connected WDG Model
Distribution Load Flow Model and Solution Algorithm
Model of the Inequality Constraints
Proposed
Numerical Analysis
Flowchart
Objective
Conclusions
Full Text
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