Comprehensive review on the decision-making frameworks referring to the distribution network operation problem in the presence of distributed energy resources and microgrids

Abstract The distribution network operation problem (DNOP) is an optimization problem in which the objective function is the total operation cost of the distribution company (Disco), to be minimized considering the technical constraints of the network. In the presence of distributed energy resources (DERs) and microgrids (MGs), new decision makers, including MG and DER operators or managing entities, are emerging and are changing the decision-making framework for distribution systems. To describe the cooperation and competition between the Disco, MG and DER operators, different frameworks and models have been proposed in the literature. Moreover, different computational techniques and metaheuristic algorithms have been used to solve the optimal operation problems. Hence, this paper considers DNOP as one of the timely problems under study and of major interest for future research, presenting a comprehensive review on the decision-making frameworks referring to DNOP in the presence of DERs and MGs, as a new contribution to earlier studies. The focus is set on the comparison among different frameworks characterized by increasingly higher level of participation of the DER managers to the distribution system operation, offering a complementary view with respect to available reviews on similar topics based on technical aspects of the DER connection and integration in MGs and distribution networks, which is noteworthy.

[1]  A. Conejo,et al.  Strategic Generation Investment Using a Complementarity Approach , 2011, IEEE Transactions on Power Systems.

[2]  Thillainathan Logenthiran,et al.  Multi-agent system for energy resource scheduling of integrated microgrids in a distributed system , 2011 .

[3]  Seyed Hossein Hosseinian,et al.  A comprehensive method for optimal power management and design of hybrid RES-based autonomous energy systems , 2012 .

[4]  Taher Niknam,et al.  A practical multi-objective PSO algorithm for optimal operation management of distribution network with regard to fuel cell power plants , 2011 .

[5]  J. A. Pecas Lopes,et al.  Ancillary services market framework for voltage control in distribution networks with microgrids , 2012 .

[6]  Jiang Wu,et al.  Coordinated Multi-Microgrids Optimal Control Algorithm for Smart Distribution Management System , 2013, IEEE Transactions on Smart Grid.

[7]  M. Parsa Moghaddam,et al.  Distribution company and microgrids behaviour in energy and reserve equilibirum , 2015, 2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC).

[8]  Meysam Doostizadeh,et al.  Day-ahead scheduling of an active distribution network considering energy and reserve markets , 2013 .

[9]  H. Bevrani,et al.  Statistical Cooperative Power Dispatching in Interconnected Microgrids , 2013, IEEE Transactions on Sustainable Energy.

[10]  Salah Bahramara,et al.  A risk-based approach for modeling the strategic behavior of a distribution company in wholesale energy market , 2018 .

[11]  João P. S. Catalão,et al.  Aggregation of Distributed Energy Resources Under the Concept of Multienergy Players in Local Energy Systems , 2017, IEEE Transactions on Sustainable Energy.

[12]  Mingbo Liu,et al.  Two-level game algorithm for multi-microgrid in electricity market , 2017 .

[13]  Zita Vale,et al.  Day-ahead resource scheduling in smart grids considering Vehicle-to-Grid and network constraints , 2012 .

[14]  Qian Ai,et al.  Economic power transaction using coalitional game strategy in micro-grids , 2016 .

[15]  Shahram Jadid,et al.  Integrated operation of electric vehicles and renewable generation in a smart distribution system , 2015 .

[16]  Xi Chen,et al.  A cooperative game approach for coordinating multi-microgrid operation within distribution systems , 2018, Applied Energy.

[17]  Taher Niknam,et al.  Multi-objective operation management of a renewable MG (micro-grid) with back-up micro-turbine/fuel , 2011 .

[18]  Qing-Shan Jia,et al.  Energy-Efficient Buildings Facilitated by Microgrid , 2010, IEEE Transactions on Smart Grid.

[19]  Shahram Jadid,et al.  Stochastic operational scheduling of smart distribution system considering wind generation and demand response programs , 2014 .

[20]  Pedro Faria,et al.  Day-ahead resource scheduling including demand response for electric vehicles , 2013, 2014 IEEE PES General Meeting | Conference & Exposition.

[21]  Xu Rong,et al.  A review on distributed energy resources and MicroGrid , 2008 .

[22]  H. Haghighat,et al.  A Bilevel Approach to Operational Decision Making of a Distribution Company in Competitive Environments , 2012, IEEE Transactions on Power Systems.

[23]  Chengshan Wang,et al.  A robust operation-based scheduling optimization for smart distribution networks with multi-microgrids , 2018, Applied Energy.

[24]  Zuyi Li,et al.  A Multiperiod Energy Acquisition Model for a Distribution Company With Distributed Generation and Interruptible Load , 2007, IEEE Transactions on Power Systems.

[25]  Federico Silvestro,et al.  Short-Term Scheduling and Control of Active Distribution Systems With High Penetration of Renewable Resources , 2010, IEEE Systems Journal.

[26]  S. P. Chowdhury,et al.  Microgrids: Energy management by strategic deployment of DERs—A comprehensive survey , 2011 .

[27]  Luis F. Ochoa,et al.  State-ofthe-Art Techniques and Challenges Ahead for DG Planning and Optimization Task Force on Distributed Generation Planning and Optimization , 2022 .

[28]  Qian Ai,et al.  Interactive energy management of networked microgrids-based active distribution system considering large-scale integration of renewable energy resources , 2016 .

[29]  Robert Lasseter,et al.  Smart Distribution: Coupled Microgrids , 2011, Proceedings of the IEEE.

[30]  Nikos D. Hatziargyriou,et al.  Optimal operation of smart distribution networks: A review of models, methods and future research , 2016 .

[31]  Nikos D. Hatziargyriou,et al.  Leader-Follower Strategies for Energy Management of Multi-Microgrids , 2013, IEEE Transactions on Smart Grid.

[32]  Xiang Ji,et al.  Autonomous optimized economic dispatch of active distribution system with multi-microgrids , 2018, Energy.

[33]  Hossam A. Gabbar,et al.  Risk-based performance analysis of microgrid topology with distributed energy generation , 2012 .

[34]  Ke Meng,et al.  Two-stage energy management for networked microgrids with high renewable penetration , 2018, Applied Energy.

[35]  Nikolaos G. Paterakis,et al.  Multi-objective reconfiguration of radial distribution systems using reliability indices , 2016, 2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D).

[36]  Ali Ahmadian,et al.  Assessment of optimization algorithms capability in distribution network planning: Review, comparison and modification techniques , 2016 .

[37]  Suryanarayana Doolla,et al.  Demand Response in Smart Distribution System With Multiple Microgrids , 2012, IEEE Transactions on Smart Grid.

[38]  Farrokh Aminifar,et al.  Smart Distribution Grid: Optimal Day-Ahead Scheduling With Reconfigurable Topology , 2014, IEEE Transactions on Smart Grid.

[39]  Shahram Jadid,et al.  Economic-environmental energy and reserve scheduling of smart distribution systems: A multiobjective mathematical programming approach , 2014 .

[40]  Zita Vale,et al.  Distributed energy resource short-term scheduling using Signaled Particle Swarm Optimization , 2012 .

[41]  Amin Khodaei,et al.  Probabilistic optimal scheduling of networked microgrids considering time-based demand response programs under uncertainty , 2017 .

[42]  K. Bhattacharya,et al.  A Comprehensive Short-Term Operations Framework for a Disco in Competitive Electricity Markets , 2007, 2007 IEEE Canada Electrical Power Conference.

[43]  Masoud Aliakbar Golkar,et al.  Extending market activities for a distribution company in hourly-ahead energy and reserve markets – Part I: Problem formulation , 2011 .

[44]  Shahram Jadid,et al.  Stochastic multi-objective operational planning of smart distribution systems considering demand response programs , 2014 .

[45]  Masoud Aliakbar Golkar,et al.  Extending market activities for a distribution company in hourly-ahead energy and reserve markets—Part II: Numerical results , 2011 .

[46]  Yuan Wu,et al.  Energy management of cooperative microgrids: A distributed optimization approach , 2018 .

[47]  Danny Pudjianto,et al.  Strategic Distribution Network Planning With Smart Grid Technologies , 2017, IEEE Transactions on Smart Grid.

[48]  Manuel A. Matos,et al.  Evaluating the impacts of the multi-microgrid concept using multicriteria decision aid , 2012 .

[49]  El-Ghazali Talbi,et al.  Metaheuristics for Bi-level Optimization , 2013 .

[50]  J. Aghaei,et al.  Demand response in smart electricity grids equipped with renewable energy sources: A review , 2013 .

[51]  Miadreza Shafie-Khah,et al.  Modeling the Strategic Behavior of a Distribution Company in Wholesale Energy and Reserve Markets , 2018, IEEE Transactions on Smart Grid.

[52]  M. Fotuhi‐Firuzabad,et al.  A Stochastic Framework for Short-Term Operation of a Distribution Company , 2013, IEEE Transactions on Power Systems.

[53]  Qian Ai,et al.  A bi-level multi-objective optimal operation of grid-connected microgrids , 2016 .

[54]  Pierluigi Siano,et al.  Incorporating price-responsive customers in day-ahead scheduling of smart distribution networks , 2016 .

[55]  M. Parsa Moghaddam,et al.  Optimal planning of hybrid renewable energy systems using HOMER: A review , 2016 .

[56]  Zita Vale,et al.  An integrated approach for distributed energy resource short-term scheduling in smart grids considering realistic power system simulation , 2012 .

[57]  Kankar Bhattacharya,et al.  Smart Distribution System Operations With Price-Responsive and Controllable Loads , 2015, IEEE Transactions on Smart Grid.

[58]  Sarah Rönnberg,et al.  Hosting Capacity of the Power Grid for Renewable Electricity Production and New Large Consumption Equipment , 2017 .

[59]  Songli Fan,et al.  Bargaining-based cooperative energy trading for distribution company and demand response , 2018, Applied Energy.

[60]  Edris Pouresmaeil,et al.  Distributed energy resources and benefits to the environment , 2010 .

[61]  Taher Niknam,et al.  Probabilistic energy and operation management of a microgrid containing wind/photovoltaic/fuel cell generation and energy storage devices based on point estimate method and self-adaptive gravitational search algorithm , 2012 .

[62]  Qian Ai,et al.  Interactive game vector: A stochastic operation-based pricing mechanism for smart energy systems with coupled-microgrids , 2018 .

[63]  Pierluigi Siano,et al.  Smart Operation of Wind Turbines and Diesel Generators According to Economic Criteria , 2011, IEEE Transactions on Industrial Electronics.

[64]  K. Bhattacharya,et al.  Disco Operation Considering DG Units and Their Goodness Factors , 2009, IEEE Transactions on Power Systems.

[65]  Amir Safdarian,et al.  Integration of Price-Based Demand Response in DisCos' Short-Term Decision Model , 2014, IEEE Transactions on Smart Grid.

[66]  A. Jofré,et al.  A distribution company energy acquisition market model with integration of distributed generation and load curtailment options , 2005, IEEE Transactions on Power Systems.

[67]  Ju Lee,et al.  AC-microgrids versus DC-microgrids with distributed energy resources: A review , 2013 .

[68]  Pierre Pinson,et al.  Trading strategies for distribution company with stochastic distributed energy resources , 2016 .

[69]  Mahmoud-Reza Haghifam,et al.  Modelling hierarchical decision making framework for operation of active distribution grids , 2015 .

[70]  Lei Wu,et al.  An affine arithmetic-based multi-objective optimization method for energy storage systems operating in active distribution networks with uncertainties , 2018, Applied Energy.

[71]  Javier Contreras,et al.  Reliability Assessment of Microgrids With Local and Mobile Generation, Time-Dependent Profiles, and Intraday Reconfiguration , 2018, IEEE Transactions on Industry Applications.

[72]  N. D. Hatziargyriou,et al.  Quantification of economic, environmental and operational benefits due to significant penetration of Microgrids in a typical LV and MV Greek network , 2011 .

[73]  Li Wei,et al.  Smart Operations in Distributed Energy Resources System , 2012 .

[74]  Yong Fu,et al.  Optimal Operation of Active Distribution Grids: A System of Systems Framework , 2014, IEEE Transactions on Smart Grid.

[75]  Tao Jiang,et al.  Flexible operation of active distribution network using integrated smart buildings with heating, ventilation and air-conditioning systems , 2018, Applied Energy.

[76]  Yong Liu,et al.  Optimal active distribution system management considering aggregated plug-in electric vehicles , 2016 .

[77]  Manuel A. Matos,et al.  Integrated micro-generation, load and energy storage control functionality under the multi micro-grid concept , 2013 .

[78]  Reza Noroozian,et al.  Multi-microgrids approach for design and operation of future distribution networks based on novel technical indices , 2017 .

[79]  Daan Six,et al.  Coordination between transmission and distribution system operators in the electricity sector: A conceptual framework , 2017 .

[80]  Ran Dai,et al.  Optimal power generation and load management for off-grid hybrid power systems with renewable sources via mixed-integer programming , 2013 .

[81]  Jianhua Zhang,et al.  A multi-level approach to active distribution system planning for efficient renewable energy harvesting in a deregulated environment , 2016 .

[82]  Taher Niknam,et al.  Operation and planning of distribution networks with integration of renewable distributed generators considering uncertainties: A review , 2017 .

[83]  M. Parsa Moghaddam,et al.  A bi-level optimization model for operation of distribution networks with micro-grids , 2016 .

[84]  Dirk Kuiken,et al.  Basic schemes for TSO-DSO coordination and ancillary services provision , 2016 .

[85]  Ramesh C. Bansal,et al.  Integration of renewable distributed generators into the distribution system: a review , 2016 .

[86]  Ye Cai,et al.  Self-Sustainable Community of Electricity Prosumers in the Emerging Distribution System , 2017, IEEE Transactions on Smart Grid.

[87]  H. Bevrani,et al.  Adaptive Energy Consumption Scheduling for Connected Microgrids Under Demand Uncertainty , 2013, IEEE Transactions on Power Delivery.

[88]  Kankar Bhattacharya,et al.  A generic operations framework for discos in retail electricity markets , 2009, 2009 IEEE/PES Power Systems Conference and Exposition.