NDLI: Energy Curtailment Scheduling MILP Formulation for an Islanded Microgrid with High Penetration of Renewable Energy

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Energy Curtailment Scheduling MILP Formulation for an Islanded Microgrid with High Penetration of Renewable Energy

Content Provider	MDPI
Author	Park, Woan-Ho Abunima, Hamza Glick, Mark B. Kim, Yun-Su
Copyright Year	2021
Description	The efficiency of photovoltaic (PV) cells has improved significantly in the last decade, making PV generation a common feature of the sustainable microgrid. As the PV-powered microgrid reaches high penetrations of intermittent PV power, optimum scheduling of over-production is necessary to minimize energy curtailment. Failure to include an accurate assessment of curtailed energy costs in the scheduling process increases wasted energy. Moreover, applying an objective function without considering the cost coefficients results in an inefficient concentration of curtailed power in a specific time interval. In this study, we provide an optimization method for scheduling the microgrid assets to evenly distribute curtailment over the entire daily period of PV generation. Each of the curtailment intervals established in our optimization model features the application of different cost coefficients. In the final step, curtailment costs are added to the objective function. The proposed cost minimization algorithm preferentially selects intervals with low curtailment costs to prevent the curtailment from being concentrated at a specific time. By inducing even distribution of curtailment, this novel optimization methodology has the potential to improve the cost-effectiveness of the PV-powered microgrid
Starting Page	6038
e-ISSN	19961073
DOI	10.3390/en14196038
Journal	Energies
Issue Number	19
Volume Number	14
Language	English
Publisher	MDPI
Publisher Date	2021-09-23
Access Restriction	Open
Subject Keyword	Energies Energy and Fuel Technology Industrial Engineering Curtailment Cost Gradation Optimal Scheduling Mixed-integer Linear Programming Islanded Microgrid
Content Type	Text
Resource Type	Article

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