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Distributed Energy Management of PV-Storage Systems for Voltage Rise Mitigation

Distributed Energy Management of PV-Storage Systems for Voltage Rise Mitigation This paper develops a distributed consensus-based energy management scheme (EMS) for multiple photovoltaics+energy storage systems (PV + ESS) connected to a smart distribution network. First, each customer individually determines the optimal size and initial scheduling of ESS to be installed in parallel with PV over a day-ahead planning horizon. The objective of installing ESS is to reduce the electricity bill while minimizing ESS aging effect. Then, after the day-ahead planning, customers manage their system in a near real-time fashion to account for voltage conditions in order to avoid voltage-rise-associated curtailments. Customers along the feeder communicate with each other and exchange information about voltage deviation at their nodes in order to reach a consensus about average voltage situation in the distribution network. Based on voltage situation, EMS updates the lower bound on net power exchange with the grid for the hour ahead. Also, an iterative method is proposed to determine the lifetime of ESS and the economic benefits gained over the lifetime. Simulation results for IEEE 33-bus test system prove the effectiveness of the proposed EMS and its financial viability. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Technology and Economics of Smart Grids and Sustainable Energy Springer Journals

Distributed Energy Management of PV-Storage Systems for Voltage Rise Mitigation

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Publisher
Springer Journals
Copyright
Copyright © 2017 by Springer Nature Singapore Pte Ltd.
Subject
Energy; Energy Systems; Power Electronics, Electrical Machines and Networks; Energy Economics
eISSN
2199-4706
DOI
10.1007/s40866-017-0033-6
Publisher site
See Article on Publisher Site

Abstract

This paper develops a distributed consensus-based energy management scheme (EMS) for multiple photovoltaics+energy storage systems (PV + ESS) connected to a smart distribution network. First, each customer individually determines the optimal size and initial scheduling of ESS to be installed in parallel with PV over a day-ahead planning horizon. The objective of installing ESS is to reduce the electricity bill while minimizing ESS aging effect. Then, after the day-ahead planning, customers manage their system in a near real-time fashion to account for voltage conditions in order to avoid voltage-rise-associated curtailments. Customers along the feeder communicate with each other and exchange information about voltage deviation at their nodes in order to reach a consensus about average voltage situation in the distribution network. Based on voltage situation, EMS updates the lower bound on net power exchange with the grid for the hour ahead. Also, an iterative method is proposed to determine the lifetime of ESS and the economic benefits gained over the lifetime. Simulation results for IEEE 33-bus test system prove the effectiveness of the proposed EMS and its financial viability.

Journal

Technology and Economics of Smart Grids and Sustainable EnergySpringer Journals

Published: Sep 8, 2017

References