Controlled Evolution-Based Day-Ahead Robust Dispatch Considering Frequency Security with Frequency Regulation Loads and Curtailable Loads

TL;DR

This paper introduces a controlled evolution-based robust dispatch method for power systems that improves frequency security and reliability amid renewable energy uncertainties by convex relaxation and intraday alignment.

Contribution

It proposes a novel controlled evolution algorithm and convex relaxation technique to address non-convex frequency constraints and causality issues in day-ahead dispatch.

Findings

Enhanced frequency security demonstrated in case studies

Improved system reliability with the proposed method

Efficient solution approach for complex dispatch problems

Abstract

With the extensive integration of volatile and uncertain renewable energy, power systems face significant challenges in primary frequency regulation due to instantaneous power fluctuations. However, the maximum frequency deviation constraint is inherently non-convex, and commonly used two-stage dispatch methods overlook causality, potentially resulting in infeasible day-ahead decisions. This paper presents a controlled evolution-based day-ahead robust dispatch method to address these issues. First, we suggest the convex relaxation technique to transform the maximum frequency deviation constraint to facilitate optimization. Then, an evolution-based robust dispatch framework is introduced to align day-ahead decisions with intraday strategies, ensuring both frequency security and power supply reliability. Additionally, a novel controlled evolution-based algorithm is developed to solve this framework efficiently. Case studies on a modified IEEE 14-bus system demonstrate the superiority of the proposed method in enhancing frequency security and system reliability.