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 in | IEEE systems journal Vol. 14; no. 3; pp. 3586 - 3597 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
01.09.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
ISSN | 1932-8184 1937-9234 |
DOI | 10.1109/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. |
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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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