Electricity Distribution System Switch Optimization Under Incentive Reliability Scheme

Mohammad Jooshaki,Mahmud Fotuhi-Firuzabad,Sahand Karimi-Arpanahi,Matti Lehtonen,R John Millar

doi:10.1109/access.2020.2995374

Abstract

The judicious placement of disconnecting switches is an efficient means to enhance the reliability of distribution networks. Aiming at optimizing the investment in these switches, this paper presents a mathematical programming-based model considering the installation of remote-controlled and manual switches at various locations in the distribution network. The proposed model not only yields the optimal location and type of switches in the main feeders but also specifies the optimal type of tie switches, i.e., backup switches at the reserve connection points. Incentive reliability regulation in the form of a reward-penalty scheme is incorporated into the proposed model to take the distribution service reliability worth into account realistically. In addition to this cost, the revenue lost due to energy undelivered during the distribution network faults is considered to determine the unreliability costs more accurately. In order to estimate such reliability-related costs, a novel reliability assessment technique is developed and integrated into the proposed switch optimization model. Formulated as an instance of mixed-integer linear programming, the proposed model is applied to a test distribution network, and the outcomes are investigated in detail.

Highlights

Reliability plays such an essential role in the planning and operation of distribution networks that it can account for almost 50% of the total network cost [1]
An mixed-integer linear programming (MILP) model is developed for the reward-penalty scheme, i.e., a regulatory tool based upon which the distribution network regulator rewards the distribution companies (DISCOs) if it maintains an appropriate reliability level and penalizes it in case it fails to fulfill an adequate level of reliability
A novel mathematical programming-based model has been proposed in this paper to optimize the location and type of distribution switches under incentive reliability regulation

Summary

INTRODUCTION

Reliability plays such an essential role in the planning and operation of distribution networks that it can account for almost 50% of the total network cost [1]. Reference [8] proposed an MINLP model, which was linearized to form an MILP problem, in order to determine the number and location of switches, while minimizing the EENS, total energy loss, and investment cost of the switches. Authors in [16] developed an MILP model for concurrent integration of fault indicators, MSs, and RCSs into a distribution network with branch lines Each of these studies made a notable contribution toward improving the switch placement models in terms of efficiency and applicability. Given the points mentioned earlier, this paper proposes an MILP model for the reliability-oriented switch placement problem, while considering both MS and RCS as alternatives for installation in the sending and receiving ends of feeder sections and determining the optimal switch type in the backup connection points.

STATEMENT OF THE PROBLEM

PROBLEM MODELING

OBJECTIVE FUNCTION

REWARD-PENALTY SCHEME MODELING

Findings

CONCLUSION