Efficient and Risk-Aware Control of Electricity Distribution Grids

This article presents an economic model predictive control (EMPC) algorithm for reducing losses and increasing the resilience of medium-voltage electricity distribution grids characterized by high penetration of renewable energy sources and possibly subject to natural or malicious adverse events. Th...

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Published inIEEE systems journal Vol. 14; no. 3; pp. 3586 - 3597
Main Authors Liberati, Francesco, Di Giorgio, Alessandro, Giuseppi, Alessandro, Pietrabissa, Antonio, Delli Priscoli, Francesco
Format Journal Article
LanguageEnglish
Published New York IEEE 01.09.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN1932-8184
1937-9234
DOI10.1109/JSYST.2020.2965633

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Abstract This article presents an economic model predictive control (EMPC) algorithm for reducing losses and increasing the resilience of medium-voltage electricity distribution grids characterized by high penetration of renewable energy sources and possibly subject to natural or malicious adverse events. The proposed control system optimizes grid operations through network reconfiguration, control of distributed energy storage systems (ESSs), and on-load tap changers. The core of the EMPC algorithm is a nonconvex optimization problem integrating the ESSs dynamics, the topological and power technical constraints of the grid, and the modeling of the cascading effects of potential adverse events. An equivalent (i.e., having the same optimal solution) proxy of the nonconvex problem is proposed to make the solution more tractable. Simulations performed on a 16-bus test distribution network validate the proposed control strategy.
AbstractList This article presents an economic model predictive control (EMPC) algorithm for reducing losses and increasing the resilience of medium-voltage electricity distribution grids characterized by high penetration of renewable energy sources and possibly subject to natural or malicious adverse events. The proposed control system optimizes grid operations through network reconfiguration, control of distributed energy storage systems (ESSs), and on-load tap changers. The core of the EMPC algorithm is a nonconvex optimization problem integrating the ESSs dynamics, the topological and power technical constraints of the grid, and the modeling of the cascading effects of potential adverse events. An equivalent (i.e., having the same optimal solution) proxy of the nonconvex problem is proposed to make the solution more tractable. Simulations performed on a 16-bus test distribution network validate the proposed control strategy.
Author Liberati, Francesco
Pietrabissa, Antonio
Giuseppi, Alessandro
Delli Priscoli, Francesco
Di Giorgio, Alessandro
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SubjectTerms Algorithms
Computer simulation
Control systems
Distributed generation
Economic analysis
Economic models
Electric power distribution
Energy storage
Energy storage systems (ESSs)
Indexes
model predictive control (MPC)
network reconfiguration
Optimization
Predictive control
Real-time systems
Reconfiguration
Renewable energy sources
resilient control
Risk management
smart grids
Storage systems
Substations
Tap changers
Voltage control
Title Efficient and Risk-Aware Control of Electricity Distribution Grids
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