Abstract

Many existing battery energy storage system (BESS) control schemes focus on mitigating negative impacts resulting from the operation of distributed energy resources-photovoltaic facilities (DER-PV). These include out-of-firm conditions from reverse power flow or extreme variability in the service voltage. Existing control strategies fail to consider how BESS control schemes need to operate in a consecutive day-to-day basis in order for them to be implemented in the field. In this paper, a novel energy management algorithm capable of dispatching a BESS unit upstream of a multi-megawatt DER-PV is introduced. This algorithm referenced as the Master Energy Coordinator (MEC), accepts forecasted DER-PV generation and individual feeder load to create daily charge and discharge rate schedules. Logic is integrated to the cyclic discharging event to sync with the forecasted peak load, even when it will occur during the morning of the next day. To verify the MEC operation, Quasi-Static Time Series (QSTS) simulations are conducted on a 12.47 kV distribution feeder model utilizing historical head-of-feeder and DER-PV analog DSCADA measurements.

Highlights

  • Distribution Network Operators (DNOs) standard practice has been to operate with minimum monitoring and automation

  • Since On-Load Tap Changers (OLTCs) and Switch Capacitors typically operate based on local signals such as bus voltage, the voltage regulation is conducted in a noncoordinated manner

  • A locally connected DNO owned battery energy storage system (BESS) is controlled to respond to a utility-scale DER-PV site located downstream with coordination between legacy devices

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Summary

Introduction

Distribution Network Operators (DNOs) standard practice has been to operate with minimum monitoring and automation. Since On-Load Tap Changers (OLTCs) and Switch Capacitors typically operate based on local signals such as bus voltage, the voltage regulation is conducted in a noncoordinated manner. This methodology served DNOs well for many years until recently the significant increase in DER-PV inverter based multi-megawatt facilities. When the regulator voltage deviated away from the bandwidth, distress signals were sent to all DESS to help mitigate reverse power flow and directly impact feeder voltage. Another approach was proposed in [4] with a peer-to-peer multiagent (distributed) control technique. A locally connected DNO owned BESS is controlled to respond to a utility-scale DER-PV site located downstream with coordination between legacy devices

Master Energy Coordinator
Battery Energy Storage System Controller Logic
Findings
Conclusions
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