NDLI: Stochastic distributed microgrid energy management based on over-relaxed alternative direction method of multipliers

Content Provider	IET Digital Library
Author	Afrasiabi, Mousa Mohammadi, Mohammad Rastegar, Mohammad Afrasiabi, Shahabodin
Abstract	This study aims to design a stochastic distributed energy management framework taking into account the information privacy of autonomous agents. To develop this framework, first, the application of a scenario-based method on the predicted probability density function (PDF) is suggested to deal with uncertainties of the low-scale loads, renewable generations, i.e. wind and photovoltaic generations, and electricity market prices. Then, an alternative direction method of multipliers (ADMM) based method, namely over-relaxed ADMM, is presented to optimise the operational set points considering each agent benefits and technical constraints. In this framework, the agents participate in scheduling programs without sharing influential information and corresponding historical data. The presented framework is tested on a realistic small-scale microgrid (MG) system and real historical data. The performance and efficiency are verified by comparison of the proposed over-relaxed ADMM method application with the application of standard ADMM and analytic targeting cascading in terms of accuracy and convergence speed. Furthermore, higher accuracy and lower computational complexity of predictive PDF-based scenario generation techniques in distributed MG energy management are verified by comparison with distributed energy management based on predefined PDF and historical data.
Starting Page	2639
Ending Page	2648
Page Count	10
ISSN	17521416
Volume Number	14
e-ISSN	17521424
Issue Number	Issue 14, Oct (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rpg/14/14
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2019.1395
Journal	IET Renewable Power Generation
Publisher Date	2020-07-21
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Autonomous Agents Computational Complexity Distributed MG Energy Management Distributed Power Generation Electricity Market Electricity Market Prices Energy Management System Information Privacy Low-scale Load Microgrid Energy Management Optimisation Optimisation Technique Over-relaxed ADMM Method Application Over-relaxed Alternative Direction Method of Multipliers Photovoltaic Generation Photovoltaic Power System Power Market Power System Economics Power System Managemen Power System Operation Predicted Probability Density Function Predictive PDF-based Scenario Generation Technique Probability Realistic Small-scale Microgrid System Renewable Generation Scenario-based Method Scheduling Programs Solar Power Stations Standard ADMM Statistics Stochastic Distributed Energy Management Framework Wind Generation Wind Power Wind Power Plant
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

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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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