Simulation case studies on period optimal power flow

TL;DR

This paper introduces a period optimal power flow model that uses median and end snapshots within time intervals to better represent system performance over time, improving accuracy and operational limits.

Contribution

It proposes a novel period OPF approach that captures temporal variations using median and end snapshots, enhancing traditional snapshot-based methods.

Findings

Demonstrated improved accuracy in system performance representation.

Validated model effectiveness on a modified IEEE 118-bus system.

Showed simplicity and practicality of the proposed approach.

Abstract

Traditional optimal power flow (OPF) describes the system performance only in a single snapshot while the resulting decisions are applied to an entire time period. Therefore, how well the selected snapshot can represent the entire time period is crucial for the effectiveness of OPF. In this paper, period OPF is proposed with a given time period that partitioned into consecutive linear time intervals, in which bus voltages and branch powers are linear mappings of time. The optimality and operational limits in each time interval are precisely represented by its median and two end snapshots, through which the system performance of OPF model is significantly improved. Simulation case studies on a modified IEEE 118-bus system have demonstrated the simplicity and effectiveness of the proposed model.