NDLI: Integrated energy scheduling under uncertainty in a micro energy grid

Content Provider	IET Digital Library
Author	Ghasemi, Abolfazl Banejad, Mahdi Rahimiyan, Morteza
Abstract	It is expected that different energy infrastructures and resources to be operated and planned simultaneously in the future smart energy systems. Recently, the concept of energy hub and its corresponding management systems has been proposed in multi-carrier energy systems. The presented study develops a two-stage stochastic mixed-integer linear programming model for a day-ahead energy scheduling of a multi-carrier energy system, considering the time-varying energy price signals and volatility feature of renewable energy resources. In the framework of the proposed method, the objective is set to minimise the energy hub's total cost, while finding the optimal values for decision variables. A set of valid scenarios is considered for the uncertainties of loads and solar energy resources. Finally, the proposed stochastic day-ahead optimisation is tested in a case study situation. In the process of minimising the operational cost, an energy hub operator is able to fix some decisions such as energy exchange with the main grid and unit commitment, before the actual realisation of the uncertain parameters is observed. The unit commitment results also are compared with those produced by a deterministic model for the case in which the electricity flow is bidirectional.
Starting Page	2887
Ending Page	2896
Page Count	10
ISSN	17518687
Volume Number	12
e-ISSN	17518695
Issue Number	Issue 12, Jul (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/12/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2017.1631
Journal	IET Generation, Transmission & Distribution
Publisher Date	2018-03-28
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Bidirectional Electricity Flow Day-ahead Energy Scheduling Decision Variables Deterministic Model Distributed Power Generation Energy Hub Operator Energy Hub Total Cost Minimization Energy InfraStructure Integer Programming Integrated Energy Scheduling Linear Programming Load Uncertainties Management System Microenergy Grid Multicarrier Energy System Operational Cost Minimization Optimisation Technique Power Generation Dispatch Power Generation Scheduling Power System Economics Power System Managemen Power System Operation Renewable Energy ReSource Smart Energy System Solar Energy ReSource Stochastic Day-ahead Optimisation Stochastic Programming Time-varying Energy Price Signal Two-stage Stochastic Mixed-integer Linear Programming Model Uncertain Parameter Realisation Unit Commitment Volatility Feature
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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