Real time congestion management using generation re-dispatch: modeling and controller design
File(s) FINAL VERSION.PDF.pdf (1.52 MB)
Accepted version
Author(s)
Chakravarthi, Kotakonda
Bhui, Pratyasa
Sharma, Nalin Kumar
Pal, Bikash Chandra
Type
Journal Article
Abstract
Increased power demand, poor transmission infrastructure, and uncertain renewable generation cause congestion in the power network. Traditionally network congestion is cleared by the system operator by rescheduling generators once every 5-20 min, which may be too slow for grids with renewable generation. Network congestion can be cleared automatically and immediately by a controller. The controller can obtain synchrophasor measurements of line power flow and maintain it at the desired value by controlling some generators and battery energy storage systems (BESS) in real-time. This paper develops an accurate dynamic model of the line power flow. A disturbance compensation based Model Predictive Control (MPC) strategy is proposed to regulate the line power flow at or below the desired value, e.g., thermal limit, in real-time by re-dispatching some generators and/or BESS’s. The MPC technique considers several realistic constraints such as output and rate limits and active power balance in the network. The control strategy is validated on Kundur 4-machine 2-area and 16-machine 68-bus test systems and shown to have better performance as compared to the existing technique. It has been found out that the proposed controller successfully regulates the line power flow within 20-60 s by controlling synchronous generators and within a few seconds by controlling BESS’s.
Date Issued
2023-05-01
Date Acceptance
2022-06-19
Citation
IEEE Transactions on Power Systems, 2023, 38 (3), pp.2189-2203
ISSN
0885-8950
Publisher
Institute of Electrical and Electronics Engineers
Start Page
2189
End Page
2203
Journal / Book Title
IEEE Transactions on Power Systems
Volume
38
Issue
3
Copyright Statement
Copyright © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Subjects
Batteries
Battery Energy Storage Systems (BESS)
Congestion control
Congestion Management
Doubly fed induction generators
Engineering
Engineering, Electrical & Electronic
FLOW
Generation Shift Factor (GSF)
Generators
Load flow
Model Predictive Control (MPC)
MULTIAREA POWER-SYSTEM
NETWORK CONSTRAINTS
OVERLOADS
PART I
Power flow controller
Power system dynamics
Power System Operation
PREDICTIVE CONTROL
Real-time systems
Renewable energy sources
Science & Technology
STRATEGY
Technology
Publication Status
Published
Date Publish Online
2022-06-27
