Abstract

Modern power distribution networks assume the connection of Distributed Generators (DGs) and energy storage systems as well as the application of advanced demand management techniques. After a network fault these technologies and techniques can contribute individually to the supply restoration of the interrupted areas and help improve the network reliability. However, the optimal coordination of control actions between these resources will lead to their most efficient use, maximizing the network reliability improvement. Until now, the effect of such networks with optimal coordination has not been considered in reliability studies. In this paper, DGs, energy storage and demand management techniques are jointly modelled and evaluated for reliability assessment. A novel methodology is proposed for the calculation of the reliability indices. It evaluates the optimal coordination of energy storage and demand management in order to reduce the energy-not-supplied during outages. The formulation proposed for the calculation of the reliability indices (including the modelling of optimal coordination) is described in detail. The methodology is applied to two distribution systems combining DGs, energy storage and demand management. Results demonstrate the capability of the proposed method to assess the reliability of such type of networks and emphasise the impact of the optimal coordination on reliability.

Highlights

  • Reliability is a fundamental parameter in the design of power systems as it determines the quality of service offered to customers [1,2]

  • In recent years new generation and storage technologies as well as demand response techniques have been widely deployed in power distribution networks

  • The assessment is performed by including the optimal coordination of the mentioned resources (DGs, energy storage and demand management) during outages, operated in such way that the network reliability is improved

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Summary

Introduction

Reliability is a fundamental parameter in the design of power systems as it determines the quality of service offered to customers [1,2]. The assessment is performed by including the optimal coordination of the mentioned resources (DGs, energy storage and demand management) during outages, operated in such way that the network reliability is improved. Additional operational alternatives not yet considered by existing reliability assessment methodologies are modelled and studied, including: more than one interruption during a fault, coordination of non-dispatchable and dispatchable loads with demand-control levels, and possible hourly constraints for energy storage operation. The effect of these criteria in the reliability calculation is evaluated.

Problem Definition
Overview of the Proposed Method
Reliability Indices Calculation
Load Points with Islanded Restoration
Renewable Generation and Demand Modelling
Generation and Demand Profiles During Outages
Scenarios Calculation
Modelling Optimal Restoration in Reliability Assessment
Non-Dispatchable Load Points
Dispatchable Load Points
Adequacy Assessment
Energy Storage
Load Shedding
Number of Interruptions during a Fault
Optimisation Problem
Test Network
Test Comparison
Energy Storage Size Analysis
Load Shedding Analysis
Findings
Analysis of the Number of Interruptions
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