Fairness in Robust Unit Commitment Problem Considering Suppression of Renewable Energy

TL;DR

This paper introduces RE-RPfair, a new model for power unit commitment that incorporates fairness among renewable energy sources, specifically PVs, using the Gini Index to measure equitable allocation.

Contribution

The paper extends the existing RE-RP model by integrating fairness considerations among PVs, demonstrating its effectiveness through simulation.

Findings

RE-RPfair achieves fairer PV allocation.

Simulation results validate the effectiveness of the fairness model.

Gini Index effectively measures fairness in renewable energy allocation.

Abstract

Power company operators make power generation plans one day in advance, in what is known as the Unit Commitment (UC) problem. UC is exposed to uncertainties, such as unknown electricity load and disturbances caused by renewable energy sources, especially PVs. In previous research, we proposed the Renewable Energy Robust Optimization Problem (RE-RP), which solves these uncertainties by considering suppression. In this paper, we propose a new model called RE-RP with fairness (RE-RPfair), which aims to achieve fair allocation among PVs allocation. This model is an expansion of the original RE-RP, and we prove its effectiveness through simulation. To measure the degree of fairness, we use the Gini Index, which is well-known in social science.