Conservation Voltage Reduction by Coordinating Legacy Devices, Smart Inverters and Battery

Due to market, there is flexibility in the price for power purchase by the utility. At the maximum loading condition the cost of power is high, hence conservation voltage reduction (CVR) is a useful technique in reducing power demand of the distribution system. Further, by installing battery energy...

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Bibliographic Details
Published inarXiv.org
Main Authors Ostadijafari, Mohammad, Jha, Rahul Ranjan, Dubey, Anamika
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 03.12.2019
Subjects
Algorithms
Batteries
Cost engineering
Depreciation
Electric power distribution
Electricity consumption
Electricity pricing
Energy conservation
Energy consumption
Energy storage
Inverters
Optimization
Power consumption
Stress concentration
Substations
Voltage reduction
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Summary:Due to market, there is flexibility in the price for power purchase by the utility. At the maximum loading condition the cost of power is high, hence conservation voltage reduction (CVR) is a useful technique in reducing power demand of the distribution system. Further, by installing battery energy storage system (BESS) in the distribution system, power can be stored in the BESS when the price is low and can be utilize to supply the demand when the price is high. In this paper, power conserving and cost saving problems are investigated. As we consider loads in distribution system as voltage dependent loads, the CVR objective is obtained by optimizing the nodal voltages of a feeder towards the lower limit of the ANSI value using legacy devices and smart inverter. In order to solve introduced problems, a MPC-based algorithm is proposed for optimal usage of future information prediction such as load energy consumption profile, PVs generation profiles and TOU electricity tariffs. Moreover, effect of depreciation cost of the BESS is in cost saving is investigated. The proposed method is validated using IEEE-123 node system. It is demonstrated form the results that the proposed method is able to reduce the power consumption and cost of purchased power from substation.
ISSN:2331-8422