Abstract

A novel distributed energy resources (DER) allocation method focused on grid constraints that avoids topological bias is proposed for distribution networks. A technology-agnostic approach is used, where a non-bias allocation of export capacity (NAEC) not specific to generation type is calculated. Moreover, the proposed NAEC is extended from an export capacity into a hosting capacity (HC) using a statistical approach. The methods are tested using the IEEE 33-bus distribution system, and two typical Irish distribution feeders -one urban, one rural- as case studies. Using a high-resolution year-long quasi-static time series simulation (QSTS) and three different generation profiles, the proposed NAEC method is validated against current practices and state of the art allocation methods in terms of active balancing, security of supply, interactions between users, operational concerns, and fairness. Results show that an equivalent or higher level of DER penetration is achieved using the proposed methodology. There are no additional constraint violations using the NAEC methodology, moreover, time slots with violations are reduced, improving security of supply. Furthermore, results suggest that avoiding topological bias makes the network accessible for more users, and prioritises self-consumption.

Highlights

  • P LANNING studies for power systems involve the prediction of future load and generation conditions

  • Given recent interest from industry and the research community in renewable energies, efficiency, and security of supply, an important part of modern planning studies involves defining the path towards grids with higher penetrations of distributed energy resources (DER)

  • Using the non-bias allocation of export capacity (NAEC) method, an individual allocation of 105.9 kW was obtained for the test network, the urban case study resulted in a single-phase allocation of 54.5 kW, whereas the rural case study obtained a single-phase allocation of 2.6 kW

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Summary

Introduction

P LANNING studies for power systems involve the prediction of future load and generation conditions. This allows designers, policy makers, operators, and users to make informed decisions about the network, including how to operate it safely, how to schedule generation and infrastructure investments, and how to allocate network charges for maintenance and technical losses. Given recent interest from industry and the research community in renewable energies, efficiency, and security of supply, an important part of modern planning studies involves defining the path towards grids with higher penetrations of distributed energy resources (DER). There has been a clear distinction between transmission and distribution networks from a planning studies perspective. Transmission network planning involved prediction of clusters of aggregated loads, and how to generate enough power in the most efficient and cost-effective way to. Hayes are affiliated with the School of Engineering and Architecture, University College Cork, Cork, Ireland

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