- United States
A series of analyses along with field validations that evaluate efficiency, reliability, and capacity improvements of model-centric distribution automation are presented.With model-centric distribution automation, the same model is used... more
A series of analyses along with field validations that evaluate efficiency, reliability, and capacity improvements of model-centric distribution automation are presented.With model-centric distribution automation, the same model is used from design to real-time control calculations. A 14-feeder system with 7 substations is considered. The analyses involve hourly time-varying loads and annual load growth factors. Phase balancing and capacitor redesign modifications are used to better prepare the system for distribution automation, where the designs are performed considering time-varying loads. Coordinated control of load tap changing transformers, line regulators, and switched capacitor banks is considered. In evaluating distribution automation versus traditional system design and operation, quasi-steady-state power flow analysis is used. In evaluating distribution automation performance for substation transformer failures, reconfiguration for restoration analysis is performed. In evaluating distribution automation for storm conditions, Monte Carlo simulations coupled with reconfiguration for restoration calculations are used. The evaluations demonstrate that model-centric distribution
automation has positive effects on system efficiency, capacity, and reliability.
automation has positive effects on system efficiency, capacity, and reliability.
Research Interests:
This paper describes a granular approach for investigating the impacts of very high photovoltaic (PV) generation penetration. Studies on two real-world distribution feeders connected to PV plants are presented. The studies include both... more
This paper describes a granular approach for investigating
the impacts of very high photovoltaic (PV) generation penetration.
Studies on two real-world distribution feeders connected
to PV plants are presented. The studies include both steady-state
and time-series power flow analyses, which include the effects of
solar variability. The goal of the study is to predict the effects of increasing
levels of PV generation as it reaches very high penetration
levels. The loss and return of generation with and without regulation
is simulated to capture short-term problems such as voltage
fluctuations. Impact results from the analyses are described along
with potential mitigations
the impacts of very high photovoltaic (PV) generation penetration.
Studies on two real-world distribution feeders connected
to PV plants are presented. The studies include both steady-state
and time-series power flow analyses, which include the effects of
solar variability. The goal of the study is to predict the effects of increasing
levels of PV generation as it reaches very high penetration
levels. The loss and return of generation with and without regulation
is simulated to capture short-term problems such as voltage
fluctuations. Impact results from the analyses are described along
with potential mitigations
Research Interests:
Storm response and restoration can be very expensive for electric utilities. The deployment of automated switches can benefit the utility by decreasing storm restoration hours. The automated switches also improve system reliably by... more
Storm response and restoration can be very expensive for
electric utilities. The deployment of automated switches can benefit
the utility by decreasing storm restoration hours. The automated
switches also improve system reliably by decreasing customer interruption
duration. In this article, a Monte Carlo simulation is used to
mimic storm equipment failure events, followed by reconfiguration
for restoration and power flowevaluations.The customer outage status
and duration are examined. Changes in reliability for the system with
and without automated switching devices are investigated. Economic
benefits of utilizing smart grid automated devices are considered.
electric utilities. The deployment of automated switches can benefit
the utility by decreasing storm restoration hours. The automated
switches also improve system reliably by decreasing customer interruption
duration. In this article, a Monte Carlo simulation is used to
mimic storm equipment failure events, followed by reconfiguration
for restoration and power flowevaluations.The customer outage status
and duration are examined. Changes in reliability for the system with
and without automated switching devices are investigated. Economic
benefits of utilizing smart grid automated devices are considered.
Research Interests:
This article investigates the economic benefits of smart grid automation investments. A system consisting of 7 substations and 14 feeders is used in the evaluation. Here benefits that can be quantified in terms of dollar savings are... more
This article investigates the economic benefits of smart
grid automation investments. A system consisting of 7 substations
and 14 feeders is used in the evaluation. Here benefits that can be
quantified in terms of dollar savings are considered, termed “hard
dollar” benefits. Smart grid investment evaluations to be considered
include investments in improved efficiency, more cost effective use of
existing system capacity with automated switches, and coordinated
control of capacitor banks and voltage regulators. These smart grid
evaluations are sequentially ordered, resulting in a series of incremental
hard dollar benefits. Hard dollar benefits come from improved
efficiency, delaying large capital equipment investments, shortened
storm restoration times, and reduced customer energy use. Analyses
used in the evaluation involve hourly power flow analysis over
multiple years and Monte Carlo simulations of switching operations
during storms using a reconfiguration for a restoration algorithm.
The economic analysis uses the time-varying value of the locational
marginal price. Algorithms used include reconfiguration for restoration
involving either manual or automated switches and coordinated
control involving two modes of control. Field validations of phase
balancing and capacitor design results are presented. The evaluation
shows that investments in automation can improve performancewhile
simultaneously lowering costs.
grid automation investments. A system consisting of 7 substations
and 14 feeders is used in the evaluation. Here benefits that can be
quantified in terms of dollar savings are considered, termed “hard
dollar” benefits. Smart grid investment evaluations to be considered
include investments in improved efficiency, more cost effective use of
existing system capacity with automated switches, and coordinated
control of capacitor banks and voltage regulators. These smart grid
evaluations are sequentially ordered, resulting in a series of incremental
hard dollar benefits. Hard dollar benefits come from improved
efficiency, delaying large capital equipment investments, shortened
storm restoration times, and reduced customer energy use. Analyses
used in the evaluation involve hourly power flow analysis over
multiple years and Monte Carlo simulations of switching operations
during storms using a reconfiguration for a restoration algorithm.
The economic analysis uses the time-varying value of the locational
marginal price. Algorithms used include reconfiguration for restoration
involving either manual or automated switches and coordinated
control involving two modes of control. Field validations of phase
balancing and capacitor design results are presented. The evaluation
shows that investments in automation can improve performancewhile
simultaneously lowering costs.
Research Interests: Power System, Electric Power Systems, Power System Protection, Power System Protection Engineering, Power System Operation & Analysis, and 5 morepower system Automation, Power System Reliability, Power System analysis, Power System - SCADA and Smart Grid Applications, and Power Systems and Electrical engineering
A model centric approach for Monte Carlo simulation for evaluating the economic and reliability benefits of automated switches for storm restoration is presented. A very detailed circuit model with over 20,000 individual customers modeled... more
A model centric approach for Monte Carlo simulation for
evaluating the economic and reliability benefits of
automated switches for storm restoration is presented. A
very detailed circuit model with over 20,000 individual
customers modeled is used in the simulation. The simulation
uses non-constant equipment failure rates based upon
actual utility measurements. As part of the Monte Carlo
storm simulation, a reconfiguration for restoration
algorithm is employed in determining the response to each
outage. The reconfiguration for restoration algorithm can
work with either manual or automated switches, or both.
System reliability with and without automated switching
devices is investigated. Cost benefits as well as reliability
benefits are considered.
evaluating the economic and reliability benefits of
automated switches for storm restoration is presented. A
very detailed circuit model with over 20,000 individual
customers modeled is used in the simulation. The simulation
uses non-constant equipment failure rates based upon
actual utility measurements. As part of the Monte Carlo
storm simulation, a reconfiguration for restoration
algorithm is employed in determining the response to each
outage. The reconfiguration for restoration algorithm can
work with either manual or automated switches, or both.
System reliability with and without automated switching
devices is investigated. Cost benefits as well as reliability
benefits are considered.
Research Interests:
tPhasor-based interdependencies of multiple harmonic sources, especially Distributed Energy Resources,on distribution networks are analyzed in this paper. A new index, Phasor Harmonic Index (IPH), is pro-posed by the authors. IPH... more
tPhasor-based interdependencies of multiple harmonic sources, especially Distributed Energy Resources,on distribution networks are analyzed in this paper. A new index, Phasor Harmonic Index (IPH), is pro-posed by the authors. IPH considers both harmonic source magnitude and phase angle for differentharmonic orders. Other commonly used harmonic indices are based solely on magnitude of waveforms.A very detailed model of a distribution network is used in the harmonic assessment. With the help of thedetailed distribution network model, the phase couplings and the phase balancing impacts on harmonicpropagation between three phases are investigated. Moreover, effects of harmonic source phase angledeviations are analyzed at both the customer side and the substation side. This paper investigates theimportance of phase angles in harmonic assessment and how distribution network characteristics canbe analyzed appropriately with phasor-based harmonic studies. In addition to device level harmonics,system level harmonic propagation need to be considered.
Research Interests:
There can be significant benefits to utilities for implementing automated and controllable devices. However, due to both the cost of the smart devices and the cost of implementing the required monitoring, communication, and control, it is... more
There can be significant benefits to utilities for implementing automated and controllable devices. However, due to both the cost of the smart devices and the cost of implementing the required monitoring, communication, and control, it is often not cost effective to update all devices on the system at once. This paper presents an economic evaluation of a model-based distribution control scheme that is independent of circuit topology and integrates legacy and modern control equipment. Distributed Engineering Workstation (DEW) simulation results show cost saving to both the customers and utility due to reduction of demand and losses. These cost savings provide the basis for assessing which feeders should be upgraded with smart devices.
Research Interests:
Smart Grid realization involves a steady increase in inverter- based components like Distributed Energy Resources (DER), energy storage systems, and plug-in electric vehicles. The harmonics related to DER inverters and the spread of power... more
Smart Grid realization involves a steady increase in inverter- based components like Distributed Energy Resources (DER), energy storage systems, and plug-in electric vehicles. The harmonics related to DER inverters and the spread of power electronic devices raises concerns for utilities and customers. Harmonics can create component failures, thermal losses and control system malfunctions. In this paper the authors analyze the impact of multi-source harmonics from DERs inside distribution networks. The harmonics impacts are evaluated by harmonic measurement indices. Harmonic emission in a real distribution circuit is simulated with the help of power flow analysis. The results are presented with visualization techniques to give a better picture of harmonic propagation vs. different levels of harmonic source magnitude and angle. Due to effect of harmonic on network efficiency, a sensitivity analysis considering power factors is conducted.
Research Interests:
This paper considers system effects due to the addition of Plug-in Hybrid Vehicles (PHEV) and Distributed Energy Resource (DER) generation. The DER and PHEV are considered with energy storage technology applied to the residential... more
This paper considers system effects due to the addition of Plug-in Hybrid Vehicles (PHEV) and Distributed
Energy Resource (DER) generation. The DER and PHEV are considered with energy storage technology
applied to the residential distribution system load. Two future year scenarios are considered, 2020 and
2030. The models used are of real distribution circuits located near Detroit, Michigan, and every customer
load on the circuit and type of customer are modeled. Monte Carlo simulations are used to randomly
select customers that receive PHEV, DER, and/or storage systems. The Monte Carlo simulations provide
not only the expected average result, but also its uncertainty. The adoption scenarios are investigated
for both summer and winter loading conditions.
Energy Resource (DER) generation. The DER and PHEV are considered with energy storage technology
applied to the residential distribution system load. Two future year scenarios are considered, 2020 and
2030. The models used are of real distribution circuits located near Detroit, Michigan, and every customer
load on the circuit and type of customer are modeled. Monte Carlo simulations are used to randomly
select customers that receive PHEV, DER, and/or storage systems. The Monte Carlo simulations provide
not only the expected average result, but also its uncertainty. The adoption scenarios are investigated
for both summer and winter loading conditions.