Decentralized transactive energy management of multi-microgrid distribution systems based on ADMM

Abstract Presence of microgrids (MGs) and renewable energy sources (RESs) in distribution power systems could result in dramatic changes in operation and planning of these systems. In this regard, operational procedures employed by utilities should take into account the intermittent nature of RESs, while coping with the independent operation of MGs. In this perspective, this paper develops a distributed power management framework based on alternating direction method of multipliers (ADMM) for distribution networks with multi-MG (MMG) structures. The proposed approach develops a transactive signal in the context of ADMM to coordinate operation of MGs in a distributed manner. In this context, the configuration of MMG distribution systems is devised in a way that facilitates modern distributed control of the system by eliminating the role of a central coordinator in traditional distribution systems. Moreover, robust optimization technique is deployed in the MG operational scheduling to handle the uncertainty associated with RESs. Finally, through a numerical case study, the efficiency of the proposed framework to schedule local resources for MMG distribution systems is analyzed.

[1]  Nathan G. Johnson,et al.  Scalable multi-agent microgrid negotiations for a transactive energy market , 2018, Applied Energy.

[2]  Ali Mohammad Ranjbar,et al.  An optimal and decentralized transactive energy system for electrical grids with high penetration of renewable energy sources , 2019 .

[3]  Chen Zhang,et al.  A hierarchical alternating direction method of multipliers for fully distributed unit commitment , 2019, International Journal of Electrical Power & Energy Systems.

[4]  C. Y. Chung,et al.  A Novel Transactive Energy Control Mechanism for Collaborative Networked Microgrids , 2019, IEEE Transactions on Power Systems.

[5]  Ron Ambrosio,et al.  Transactive Energy Systems [Viewpoint] , 2016 .

[6]  Matti Lehtonen,et al.  A novel energy scheduling framework for reliable and economic operation of islanded and grid-connected microgrids , 2019, Electric Power Systems Research.

[7]  Tao Yu,et al.  A convex decentralized optimization for environmental-economic power and gas system considering diversified emission control , 2019, Applied Energy.

[8]  Matti Lehtonen,et al.  An Incentive-Based Mechanism to Alleviate Active Power Congestion in a Multi-Agent Distribution System , 2021, IEEE Transactions on Smart Grid.

[9]  Steven H. Low,et al.  Branch Flow Model: Relaxations and Convexification—Part II , 2012 .

[10]  Mahmud Fotuhi-Firuzabad,et al.  A Market Mechanism to Quantify Emergency Energy Transactions Value in a Multi-Microgrid System , 2019, IEEE Transactions on Sustainable Energy.

[11]  Bri-Mathias Hodge,et al.  Decentralized wind uncertainty management: Alternating direction method of multipliers based distributionally-robust chance constrained optimal power flow , 2019, Applied Energy.

[12]  Guangsheng Pan,et al.  Robustly Multi-Microgrid Scheduling: Stakeholder-Parallelizing Distributed Optimization , 2020, IEEE Transactions on Sustainable Energy.

[13]  Hoay Beng Gooi,et al.  Distributed Robust Energy Management of a Multimicrogrid System in the Real-Time Energy Market , 2019, IEEE Transactions on Sustainable Energy.

[14]  Mohammad E. Khodayar,et al.  The short-term operation of microgrids in a transactive energy architecture , 2016 .

[15]  Amjad Anvari-Moghaddam,et al.  A decentralized robust model for optimal operation of distribution companies with private microgrids , 2019, International Journal of Electrical Power & Energy Systems.

[16]  Matti Lehtonen,et al.  Developing a Distributed Robust Energy Management Framework for Active Distribution Systems , 2021, IEEE Transactions on Sustainable Energy.

[17]  Ali Zangeneh,et al.  Energy management in multi-microgrids considering point of common coupling constraint , 2020 .

[18]  Jinbo Huang,et al.  Coordinated dispatch of electric power and district heating networks: A decentralized solution using optimality condition decomposition , 2017 .

[19]  Henrik Sandberg,et al.  A Survey of Distributed Optimization and Control Algorithms for Electric Power Systems , 2017, IEEE Transactions on Smart Grid.

[20]  Stephen P. Boyd,et al.  Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers , 2011, Found. Trends Mach. Learn..

[21]  Gabriela Hug,et al.  Toward Distributed/Decentralized DC Optimal Power Flow Implementation in Future Electric Power Systems , 2018, IEEE Transactions on Smart Grid.

[22]  Lingfeng Wang,et al.  A Transactive Energy Framework for Coordinated Energy Management of Networked Microgrids With Distributionally Robust Optimization , 2020, IEEE Transactions on Power Systems.

[23]  Allen J. Wood,et al.  Power Generation, Operation, and Control , 1984 .

[24]  Josep M. Guerrero,et al.  A hierarchical energy management strategy for interconnected microgrids considering uncertainty , 2019, International Journal of Electrical Power & Energy Systems.

[25]  Steven H. Low,et al.  Distributed algorithm for optimal power flow on a radial network , 2014, 53rd IEEE Conference on Decision and Control.

[26]  M. Nazif Faqiry,et al.  Distribution locational marginal price-based transactive day-ahead market with variable renewable generation , 2020 .

[27]  Fengqi You,et al.  Decentralized-distributed robust electric power scheduling for multi-microgrid systems , 2020 .

[28]  Zhao Yang Dong,et al.  Optimal Scheduling for Prosumers in Coupled Transactive Power and Gas Systems , 2018, IEEE Transactions on Power Systems.

[29]  M. Fotuhi‐Firuzabad,et al.  Flexibility‐based operational management of a microgrid considering interaction with gas grid , 2021, IET Generation, Transmission & Distribution.

[30]  Matti Lehtonen,et al.  Distribution Grid Flexibility-ramp Minimization using Local Resources , 2019, 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe).

[31]  Gevork B. Gharehpetian,et al.  A novel energy-reliability market framework for participation of microgrids in transactive energy system , 2020 .

[32]  Nikolaos Gatsis,et al.  Decentralized Stochastic Optimal Power Flow in Radial Networks With Distributed Generation , 2016, IEEE Transactions on Smart Grid.

[33]  Mahdi Pourakbari-Kasmaei,et al.  Bonus-Based Demand Response Using Stackelberg Game Approach for Residential End-Users Equipped With HVAC System , 2021, IEEE Transactions on Sustainable Energy.

[34]  M. Hadi Amini,et al.  A Decentralized Trading Algorithm for an Electricity Market with Generation Uncertainty , 2017, ArXiv.

[35]  Mohammad Shahidehpour,et al.  Optimal Transactive Market Operations With Distribution System Operators , 2018, IEEE Transactions on Smart Grid.