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This text describes the data presented in the paper: ''MicroGrid Resilience-Oriented Scheduling: A Robust MISOCP Model''

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Introductory information
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Files included in this data repository are the outputs of the Robust Mixed Integer Second Order Cone Programming (MISOCP) Model 
for all budgets of uncertainty equal to zero (all Gamma parameters = 0), for the microgrid case study
of the paper ''MicroGrid Resilience-Oriented Scheduling: A Robust MISOCP Model''.
Fore more details please refer to the paper ''MicroGrid Resilience-Oriented Scheduling: A Robust MISOCP Model''. 

Data included hereby are the following:

1) Dispatchable Generator (DG) schedules
2) Energy Storage System (ESS) schedules
3) Electric Vehicle (EV) parking lot schedules
4) Main grid imported power 
5) Total Operational cost
6) Load shedding cost
7) Dispatchable Generation (DG) cost
8) Unit commitment cost
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Explain the relationship between multiple data sets, if required:
N/A
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Key words used to describe the data:
microgrid optimal scheduling, distributed generation schedules, model outputs


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Methodological information
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A brief method description – what the data is, how and why it was collected or created, and how it was processed:

These data represent schedules of the microgrid case study of the paper ''MicroGrid Resilience-Oriented Scheduling: A Robust MISOCP Model''. 
These data are produced by the Robust Mixed Integer Second Order Cone Programming (MISOCP) Model proposed in this paper (''MicroGrid Resilience-Oriented Scheduling: A Robust MISOCP Model'') for all budgets of uncertainty equal to zero (all Gamma parameters = 0).
The Robust Mixed Integer Second Order Cone Programming (MISOCP) Model has been modelled using General Algebraic Modeling System (GAMS) (https://www.gams.com/).
Data provided in this data repository are directly extracted from the Robust Mixed Integer Second Order Cone Programming (MISOCP) Model outputs produced by the software General Algebraic Modeling System (GAMS).
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Instruments, hardware and software used: 

Software: 
General Algebraic Modeling System (GAMS) (https://www.gams.com/)
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Date(s) of data collection: 
2020
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Geographic coverage of data:
N/A
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Data validation (how was the data checked, proofed and cleaned):
Data provided is directly extracted from the Robust Mixed Integer Second Order Cone Programming (MISOCP) Model outputs produced by the software General Algebraic Modeling System (GAMS).
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Overview of secondary data, if used:
N/A


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Data-specific information
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Definitions of names, labels, acronyms or specialist terminology uses for variables, records and their values: 

Abbreviations:
DG	Dispatchable Generator
EV 	Electric Vehicle
ESS	Energy Storage System
MISOCP	Mixed Integer Second Order Cone Programming
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Explanation of weighting and grossing variables: 
N/A
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Outline any missing data:
N/A


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Contact
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Please contact rdm@ncl.ac.uk for further information