How Price-Based Frequency Regulation Impacts Stability in Power Grids: A Complex Network Perspective

Peng Ji,Lipeng Zhu,Jürgen Kurths,Wei Lin,Chao Lu

doi:10.1155/2020/6297134

Abstract

With the deregulation of modern power grids, electricity markets are playing a more and more important role in power grid operation and control. However, it is still questionable how the real-time electricity price-based operation affects power grid stability. From a complex network perspective, here we investigate the dynamical interactions between price-based frequency regulations and physical networks, which results in an interesting finding that a local minimum of network stability occurs when the response strength of generators/consumers to the varying price increases. A case study of the real world-based China Southern Power Grid demonstrates the finding and exhibits a feasible approach to network stability enhancement in smart grids. This also provides guidance for potential upgrade and expansion of the current power grids in a cleaner and safer way.

Highlights

Climate change mitigation requires us to transform current energy systems, a major shift over the few decades in how energy is produced and transferred in a cleaner way [1]
With the real-time based electricity price in electricity markets, competitive activities and abundant interactive phenomena are introduced into physical power networks [4]
Due to such complex interactions and low efficiency of analysis in large-scale grids, power system engineers and operators are still prone to getting trouble in a systematic analysis of interactive phenomena, especially in system stability analysis [5], the power engineering community has made tremendous efforts to address these problems for years

Summary

Introduction

Climate change mitigation requires us to transform current energy systems, a major shift over the few decades in how energy is produced and transferred in a cleaner way [1]. With the real-time based electricity price in electricity markets, competitive activities and abundant interactive phenomena are introduced into physical power networks [4]. Due to such complex interactions and low efficiency of analysis in large-scale grids, power system engineers and operators are still prone to getting trouble in a systematic analysis of interactive phenomena, especially in system stability analysis [5], the power engineering community has made tremendous efforts to address these problems for years. Various models of power systems have increasingly been brought to higher attention recently, partially thanks to the better understanding of collective phenomena such as synchronization of power grids [7,8,9,10,11]. The Kuramoto model as a paradigm for general oscillator models has been intensively investigated recently [7], from the perspective of networked control [10], selforganized synchronization [12,13,14,15,16,17], to stability against even large perturbations [18, 19]. e further investigation of the Kuramoto model with or without inertia attracts great interest from the aspects of, e.g., the optimal placement of virtual inertia for system performance [20] and for perfect

Methods

Results

Conclusion