Abstract

The distribution system analysis is very important to know the system condition at any given point of time. This distribution power flow plays an important role. Many power flow techniques have been proposed in the past for distribution power flow (DPF). The implicit Z-bus Gauss–Seidel (GS) method is good when dispersed generations are modelled as PQ nodes in the distribution system but, when dispersed generations are modelled as PV nodes, it leads to divergence problems. In a Newton-like method, a slight change in the execution of the bus-type switching logic leads to an unlike convergence characteristic. Though backward/forward (BW/FW) method is effective and efficient, it slows down under heavy-load condition. Now, with the addition of distributed generation (wind/solar, etc.) at the distribution level, the classical configuration of the distribution system is also changed. This poses a need for more robust and efficient technique. This paper investigates the application of a new algorithm known as improved harmony search (IHS) for DPF. The IHS can determine multiple power flow solutions which fix the limitations of other methods while determining a solution for the highly stressed condition. The results for a standard test system are taken with IHS, Newton–Raphson (NR) and BW/FW method without and with the impact of the wind energy system, to show the potential of the proposed algorithm.

Highlights

  • The existence of distributed generations (DGs) deviates the unidirectional nature of power flow, and the distribution system no more remains a passive system

  • The studies are performed on a standard 10-bus radial distribution system data [29]

  • The 10-bus radial distribution system consists of 9 load points

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Summary

Introduction

The existence of distributed generations (DGs) deviates the unidirectional nature of power flow, and the distribution system no more remains a passive system. The interconnection of distributed generation sources into the distribution system provides numerous challenges to distribution load flow in terms of modelling of various power delivery and power conversion components. Power conversion components can be modelled as negative PQ load, ideal voltage source, PV node or its Norton/Thevenin equivalents. The steady-state behaviour is the most fundamental calculation of any system In power systems, this calculation is the steady-state load flow problem, known as power flow. Several Newton-like methods are developed to solve the problem in [1, 2]. The first model of a backward/forward method for distribution load flow assumes all nodes as PQ since in the distribution system it is assumed that there is no generating bus. Probabilistic load flow is presented in [4] and further reformed and applied to power system load flow problems

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