Abstract

In this paper, the problem of distributed power losses minimization in islanded distribution systems is dealt with. The problem is formulated in a very simple manner and a solution is reached after a few iterations. The considered distribution system, a microgrid, will not need large bandwidth communication channels, since only closeby nodes will exchange information. The correction of generated active powers is possible by means of the active power losses partition concept that attributes a portion of the overall power losses in each branch to each generator. The experimental part shows the first results of the proposed method on an islanded microgrid. Simulation results of the distributed algorithm are compared to a centralized Optimal Power Flow approach and very small errors can be observed.

Highlights

  • The Optimal Power Flow (OPF) is a very important issue in power systems

  • In [26], the Alternating Direction Method of Multipliers (ADMM) was applied to solve OPF with an approach completely distributed/decentralized that do not need any form of central coordination

  • As we look at higher control levels, regulation speed becomes lower; e.g., droop control in primary level has typically a response within 1 to 10 ms, secondary control speed can get to 100ms up to 1s depending on the speed limit of the used communication technology, while tertiary control implements the actions in time steps ranging from seconds to hours

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Summary

Introduction

The Optimal Power Flow (OPF) is a very important issue in power systems. For the operator, fixed generated power corresponds to one operating condition only. The formulation of OPF typically refers to a centralized approach, for which a processing unit solves the problem starting from measures collected from Intelligent Electronic Devices (IEDs) connected to apparatus of the power network This centralized architecture can be found in power systems even at the distribution level and even in modern power distribution systems integrating a large amount of generated power form renewables, such as microgrids(MGs) [2]. In [26], the ADMM was applied to solve OPF with an approach completely distributed/decentralized that do not need any form of central coordination It was used a region-based optimization process where the exchanged information is limited only to neighboring regions. The paper applied distributed Q learning to a power dispatch problem in electrical power systems, but the approach does not consider the load flow solution needing continuous measurements of branch power flows to verify the quality of the implemented operating points, which do not seem applicable. A decentralized formulation of the same problem is given assuming that the overall energy balance of the microgrid does not change except for the limited amount of power losses that is minimized

General Formulation and Methodology for Decentralized OPF
Distributed Power Flow
Distributed Optimal Power Flow
Backward Phase
Forward Phase
Voltages Correction in the Forward Phase
Learning Algorithm for the αk Coefficients
The Test System
Application
Case A
Case B
Case C
Convergence
Conclusions
Findings
Conflicts of Interest

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