Sensitivity Analyses of Resilience-oriented Risk-averse Active Distribution Systems Planning

TL;DR

This paper analyzes how different parameters affect resilience-oriented active distribution system planning, using a risk-averse stochastic model with CVaR, to guide better resource allocation and operational strategies.

Contribution

It introduces a sensitivity analysis framework for resilience-based distribution planning considering multiple parameters and advanced operational measures.

Findings

Sensitivity to number of scenarios impacts planning outcomes

Risk preference significantly influences resilience measures

Budget allocation affects the effectiveness of resilience strategies

Abstract

This paper presents sensitivity analyses of resilience-based active distribution system planning solutions with respect to different parameters. The distribution system planning problem is formulated as a two-stage risk-averse stochastic optimization model with conditional value-at-risk (CVaR) as the risk measure. The probabilistic scenarios are obtained using regional wind profiles, and Monte Carlo simulations are conducted to obtain failure scenarios based on component fragility models. The planning measure includes advanced distribution grid operations with intentional islanding measures. The three main parameters used in this work for sensitivity analysis are the number of scenarios, risk preference, and planning budget allocation. Such analysis can provide additional information to system operators on dispatching the planning budget and available resources properly to enhance the grid's resilience.