Advancing System Flexibility for High Penetration Renewable Integration

Milligan, Michael; Frew, Bethany; Zhou, Ella; Arent, D. J.

doi:10.2172/1225920

Cited by 30 publications

(20 citation statements)

References 37 publications

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“…The technical note, as shown in Figures A1 and A2, lists all the information collected from different vendors [27,28,55,. 3 Also includes displacement cos Φ (with lead/lag display), active energy (consumption/regeneration), and reactive energy (lead/lag) 4 For current (I) and active power (P), also include clamp sensor accuracy 5 Based on 9661 and 9667-03 CT (discount included) 6 Also act as gateway for IOT control 7 Multiple hubs sync per location (e.g., 36, 54, 72, etc.) Figure A1.…”

Section: Discussionmentioning

confidence: 99%

“…The integration of weather-driven renewable energy into the system requires more flexibility in the generation, distribution, and utilization [6]. To some extent, this flexibility can be achieved through advanced metering infrastructure (AMI), providing better load forecasting and anomaly detection [7], and also through proactive grid management [8].…”

Section: Introductionmentioning

confidence: 99%

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Prospects of Appliance-Level Load Monitoring in Off-the-Shelf Energy Monitors: A Technical Review

Haq

Jacobsen

2018

Energies

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Abstract:The smart grid initiative has encouraged utility companies worldwide to roll-out new and smarter versions of energy meters. Before an extensive roll-out, which is both labor-intensive and incurs high capital costs, consumers need to be incentivised to reap the long-term benefits of such smart meters. Off-the-shelf energy monitors (e-monitors) can provide consumers with an insight into such potential benefits. As e-monitors are owned by the consumer, the consumer has greater control over the data, which significantly reduces the privacy and data confidentiality concerns. Because only limited online technical information is available about e-monitors, we evaluate several existing e-monitors using an online technical survey directly from the vendors. Besides automated e-monitoring, the use of different off-the-shelf e-monitors can also help to demonstrate state-of-the-art techniques such as non-intrusive load monitoring (NILM), data analytics, and the predictive maintenance of appliances. Our survey indicates a trend towards the incorporation of such state-of-the-art capabilities, particularly the appliance-level e-monitoring and load disaggregation. We have also discussed some essential requirements to implement load disaggregation in the next generation e-monitors. In future, these intelligent e-monitoring techniques will encourage effective consumer participation in the demand-side management (DSM) programs.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Prospects of Appliance-Level Load Monitoring in Off-the-Shelf Energy Monitors: A Technical Review

Haq

Jacobsen

2018

Energies

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“…ELCC has been used to evaluate the contribution of a generating unit to the reliability of a power system [21][22][23][24][25][26]. It is defined as the amount of increase in load that maintains reliability when the considered unit is added to the system, and is measured using a reliability index, such as loss of load probability (LOLP) or loss of load expectation (LOLE) [27,28].…”

Section: Net Load Carrying Capabilitymentioning

confidence: 99%

Net Load Carrying Capability of Generating Units in Power Systems

Min

Kim

2017

Energies

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This paper proposes an index called net load carrying capability (NLCC) to evaluate the contribution of a generating unit to the flexibility of a power system. NLCC is defined as the amount by which the load can be increased when a generating unit is added to the system, while still maintaining the flexibility of the system. This index is based on the flexibility index termed ramping capability shortage expectation (RSE), which has been used to quantify the risk associated with system flexibility. This paper argues that NLCC is more effective than effective load carrying capability (ELCC) in quantifying the contribution of the generating unit to flexibility. This is explained using an illustrative example. A case study has been performed with a modified IEEE-RTS-96 to confirm the applicability of the NLCC index. The simulation results demonstrate the effect of operating conditions such as operating point and ramp rate on NLCC, and show which kind of unit is more helpful in terms of flexibility.

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“…Flexibility is also provided by larger balancing areas, access to neighboring markets, fast energy market, improved market design, demand response, strategic renewable energy curtailment, new ancillary services and products, flexible conventional generation units, and storage [29]. The flexibility served at the local level has been simulated and verified using an operation optimization model in [30].…”

Section: Introductionmentioning

confidence: 99%

“…Looking at duration curves, one can compare the flexibility of different national energy system scenarios. Alternative flexibility options can be analyzed with generation simulations [29] and this gap can be quantified with CEEP using the EnergyPLAN tool. EnergyPLAN has been validated in many studies explained in detail in [33].…”

Section: Introductionmentioning

confidence: 99%

Two methods for decreasing the flexibility gap in national energy systems

Bjelić

Rajaković

Krajačić

et al. 2016

Energy

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Abstract:More variable renewable energy sources and energy efficiency measures create an additional flexibility gap and require a novel energy planning method for sustainable national energy systems. The firstly presented method uses only EnergyPLAN tool in order to decrease the flexibility gap in a national energy system. Generic Optimization program (GenOpt®) is an optimization program for the minimization of a cost function that is evaluated by an external simulation program, such as EnergyPLAN, which was used as the second method in this research. Successful strategies to decrease the flexibility gap are verified on the case of the Serbian national energy system using two methods for its structure design: (1) the iterative method, based on heuristics and manual procedure of using only EnergyPLAN, and (2) the optimization method, based on soft-linking of EnergyPLAN with GenOpt®. The latter method, named EPOPT (EnergyPlan-genOPT), found the solution for the structure of the sustainable national energy system at the total cost of 8,190 M€, while the iterative method was only able to find solutions at the cost in the range of 8,251-8,598 M€ by targeting only one sustainability goal. The advantages of the EPOPT method are its accuracy, user-friendliness and minimal costs, are valuable for planners. Highlights Heuristic and optimization method for sustainable national energy system structure  The same input assumptions resulting in different energy system structure  Both methods are successful in decreasing of the flexibility gap  The EPOPT method advantages are in the speed, accuracy and planner comfort  Advanced method for the sustainable national energy policy planning

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Advancing System Flexibility for High Penetration Renewable Integration

Abstract: NREL prints on paper that contains recycled content.

Cited by 30 publications

References 37 publications

Prospects of Appliance-Level Load Monitoring in Off-the-Shelf Energy Monitors: A Technical Review

Prospects of Appliance-Level Load Monitoring in Off-the-Shelf Energy Monitors: A Technical Review

Net Load Carrying Capability of Generating Units in Power Systems

Two methods for decreasing the flexibility gap in national energy systems

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