Social Equity Based Optimal Power Flow Framework to Hedge Against Price Events

With the increasing frequency of high impact low probability events, electricity markets are experiencing significant price spikes more often. This paper proposes a novel social equity driven optimal power flow framework to mitigate the adverse effects of price events that lead to such price spikes. The framework integrates social welfare optimization with socioeconomic considerations by including a socioeconomic score that quantifies the energy burden and socioeconomic status of consumers. By incorporating both supply cost and consumer satisfaction, the model aims to achieve a balanced and fair distribution of resources during price events, while considering resource scarcity and possible load curtailment. The proposed framework is tested for convergence on modified versions of the PJM 5-bus system and IEEE 24-bus reliability test system, discussing its potential effectiveness in enhancing social equity and optimizing power flow under system security constraints. Sensitivity analysis further highlights the impact of socioeconomic score on social welfare, providing insights for future improvements.

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Published
2024-10-13
DOI
https://doi.org/10.1109/naps61145.2024.10741650
Primary Topic
Smart Grid Energy Management
Type
article
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article

Social Equity Based Optimal Power Flow Framework to Hedge Against Price Events

Visvakumar Aravinthan, Sarangan Rajendran, Demy Alexander, Sachinth Viththarachchige
Smart Grid Energy Management
article

Social Equity Based Optimal Power Flow Framework to Hedge Against Price Events

Visvakumar Aravinthan, Sarangan Rajendran, Demy Alexander, Sachinth Viththarachchige
article en

Abstract

With the increasing frequency of high impact low probability events, electricity markets are experiencing significant price spikes more often. This paper proposes a novel social equity driven optimal power flow framework to mitigate the adverse effects of price events that lead to such price spikes. The framework integrates social welfare optimization with socioeconomic considerations by including a socioeconomic score that quantifies the energy burden and socioeconomic status of consumers. By incorporating both supply cost and consumer satisfaction, the model aims to achieve a balanced and fair distribution of resources during price events, while considering resource scarcity and possible load curtailment. The proposed framework is tested for convergence on modified versions of the PJM 5-bus system and IEEE 24-bus reliability test system, discussing its potential effectiveness in enhancing social equity and optimizing power flow under system security constraints. Sensitivity analysis further highlights the impact of socioeconomic score on social welfare, providing insights for future improvements.

Wichita State University (US)
Openalex Percentile: Top 82%
Smart Grid Energy Management
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Social Equity Based Optimal Power Flow Framework to Hedge Against Price Events — Visvakumar Aravinthan, Sarangan Rajendran, et al. · (2024) | TGRS Research Map | TGRS