Optimal DER Sizing Using Microgrid Design Tool Integrating Model Predictive Control Based Energy Management - A Case Study

Anwar, Asif; Béguery, Patrick; Pflaum, Peter; Huynh, Jackie; Friedman, Jake

doi:10.1109/ecce.2018.8557718

Cited by 2 publications

(1 citation statement)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The configurations have diversified over time with the inclusion of various hybrid DGS systems such as PV-hydrogen, PV-diesel-battery [27], PV-wind-battery [28], PV-wind-diesel [29], PV-wind-diesel-battery [30], and PV-wind-diesel-hydrogen-battery [31]. The list of configurations could be much longer if other generation types (e.g., bioenergy, hydro, gas turbine) and storage (e.g., hydro, compressed air, flywheel, capacitance, chemical conversions)…”

Section: Literature On Sizing and Operation Modelling Of Distributed mentioning

confidence: 99%

Network capacity charge for sustainability and energy equity: A model-based analysis

Khalilpour

Lusis

2020

Applied Energy

View full text Add to dashboard Cite

It is long known that the afternoon peak demand accounts for over-investment in the electricity network assets. This results in a high price of delivered electricity which does not fairly differentiate between peak and non-peak users. Energy tariff is proven to be one of the best demand-side management (DSM) tools for shaping consumers' behaviour. While electricity pricing models, such as inclining block and time-of-use tariffs, have received decent attention as successful mechanisms, there are little discussions about another efficient tariff known as a rollover network capacity charge. It is a penalty for the highest recorded power usage over the previous reading cycle (or year) which is introduced to commercial users in some jurisdictions. With recent price reduction in distributed generation and storage (DGS) systems, the interest has increased in devising policies for directing the household and commercial consumers' behaviour towards using DGS systems in line with DSM objectives. In this paper, we have integrated the rollover network capacity charge into DGS systems investment analysis. The results from a few case studies show the positive impact of capacity charge in directing the peak-consumers' investment decisions towards DSM tools (e.g., energy storage) to curb their peak demands. This not only improves the resilience of the network but also promises as an effective mechanism in energy-justice nexus by avoiding the transfer of the associated costs of peak demand to all users.

show abstract

Section: Literature On Sizing and Operation Modelling Of Distributed mentioning

confidence: 99%

Network capacity charge for sustainability and energy equity: A model-based analysis

Khalilpour

Lusis

2020

Applied Energy

View full text Add to dashboard Cite

show abstract

Optimal Energy Management of Hybrid Generating System for Laptop Manufacturing Industry

Akbar¹,

Mannan²,

Bhatti³

et al. 2019

2019 International Conference on Robotics and Automation in Industry (ICRAI)

View full text Add to dashboard Cite

Optimal DER Sizing Using Microgrid Design Tool Integrating Model Predictive Control Based Energy Management - A Case Study

Cited by 2 publications

References 4 publications

Network capacity charge for sustainability and energy equity: A model-based analysis

Network capacity charge for sustainability and energy equity: A model-based analysis

Optimal Energy Management of Hybrid Generating System for Laptop Manufacturing Industry

Contact Info

Product

Resources

About