Stochastic System of Systems Architecture for Adaptive Expansion of Smart Distribution Grids

The incorporation of the reconfiguration into the expansion planning of smart distribution networks is addressed in this paper, in which the potential of distributed energy resources and demand response (DR) are modeled. The system of systems (SoS) architecture is employed to model the strategy of a distribution company (DISCO), a private investor (PI), and a DR provider (DRP). The SoS is an efficient modeling architecture to model the behavior of independent and autonomous systems with distinct objective functions who are able to share some data and work together. The aim of the DISCO is to upgrade the system with the optimal cost and reliability, whereas the PI and DRP want to maximize their profit. The DISCO should try to persuade the PI to install DGs (Distributed generations) by offering the guaranteed purchasing prices. Furthermore, the DRP is a market player who can negotiate with the DISCO to sign a contract to sell the purchased DR capacities from the customers. The uncertainties of the DISCO problem is handled by using the chance-constraint method, but the PI and DRP use the conditional value at risk method to model their uncertainties. Finally, to solve the proposed model, the multiobjective optimization algorithm is employed.

[1]  Hakan Delic,et al.  Demand Response Management for Smart Grids With Wind Power , 2015, IEEE Transactions on Sustainable Energy.

[2]  R. Billinton,et al.  A simplified wind power generation model for reliability evaluation , 2006, IEEE Transactions on Energy Conversion.

[3]  Vinod Khadkikar,et al.  Planning active distribution networks considering multi-DG configurations , 2014, 2014 IEEE PES General Meeting | Conference & Exposition.

[4]  Joao Catalao,et al.  Risk-constrained offering strategy for aggregated hybrid power plant including wind power producer and demand response provider , 2016, 2016 IEEE Power and Energy Society General Meeting (PESGM).

[5]  Dipti Srinivasan,et al.  Multiagent-Based Transactive Energy Framework for Distribution Systems With Smart Microgrids , 2017, IEEE Transactions on Industrial Informatics.

[6]  Carmen L. T. Borges,et al.  Multistage expansion planning for active distribution networks under demand and Distributed Generation uncertainties , 2012 .

[7]  Lennart Söder,et al.  Electricity distribution tariffs and distributed generation: Quantifying cross-subsidies from consumers to prosumers , 2015 .

[8]  Lijun Zhang,et al.  Economic Allocation for Energy Storage System Considering Wind Power Distribution , 2015, IEEE Transactions on Power Systems.

[9]  Vahid Vahidinasab.  Optimal distributed energy resources planning in a competitive electricity market: Multiobjective optimization and probabilistic design , 2014 .

[10]  Mauricio Sperandio,et al.  Distribution Networks Expansion Planning under the perspective of the locational Transmission Network Use of System tariffs , 2015 .

[11]  Tongdan Jin,et al.  Multicriteria Planning for Distributed Wind Generation Under Strategic Maintenance , 2013, IEEE Transactions on Power Delivery.

[12]  Kashem M. Muttaqi,et al.  Distribution expansion planning considering reliability and security of energy using modified PSO (Particle Swarm Optimization) algorithm , 2014 .

[13]  A. M. Cossi,et al.  Planning and Projects of Secondary Electric Power Distribution Systems , 2009, IEEE Transactions on Power Systems.

[14]  A. Vahidnia,et al.  A Framework for Optimal Planning in Large Distribution Networks , 2009, IEEE Transactions on Power Systems.

[15]  Marcos J. Rider,et al.  Multistage Long-Term Expansion Planning of Electrical Distribution Systems Considering Multiple Alternatives , 2016, IEEE Transactions on Power Systems.

[16]  Kankar Bhattacharya,et al.  Distribution system planning to accommodate distributed energy resources and PEVs , 2017 .

[17]  Ahad Kazemi,et al.  Risk-based planning of distribution substation considering technical and economic uncertainties , 2016 .

[18]  R. C. Dugan,et al.  Distribution System Analysis and the Future Smart Grid , 2011, IEEE Transactions on Industry Applications.

[19]  Vahid Vahidinasab,et al.  An aggregated model for coordinated planning and reconfiguration of electric distribution networks , 2016 .

[20]  Lei Wu,et al.  Distributed Generation Hosting Capacity Evaluation for Distribution Systems Considering the Robust Optimal Operation of OLTC and SVC , 2016, IEEE Transactions on Sustainable Energy.

[21]  Nima Amjady,et al.  A novel two-stage evolutionary optimization method for multiyear expansion planning of distribution systems in presence of distributed generation , 2017, Appl. Soft Comput..

[22]  Nima Amjady,et al.  Multi-objective robust transmission expansion planning using information-gap decision theory and augmented ɛ-constraint method , 2014 .

[23]  L.S. Barreto,et al.  Multistage Model for Distribution Expansion Planning With Distributed Generation—Part I: Problem Formulation , 2008, IEEE Transactions on Power Delivery.

[24]  H. Rudnick,et al.  Large-Scale Distribution Planning—Part I: Simultaneous Network and Transformer Optimization , 2009, IEEE Transactions on Power Systems.

[25]  Chanan Singh,et al.  DG integrated multistage distribution system expansion planning , 2011 .

[26]  R. Hemmati,et al.  Maximizing DISCO profit in active distribution networks by optimal planning of energy storage systems and distributed generators , 2017 .

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

[28]  Taher Niknam,et al.  Expected Cost Minimization of Smart Grids With Plug-In Hybrid Electric Vehicles Using Optimal Distribution Feeder Reconfiguration , 2015, IEEE Transactions on Industrial Informatics.

[29]  Brian J. Sauser,et al.  System of Systems Collaborative Formation , 2010, IEEE Systems Journal.

[30]  R.H.C. Takahashi,et al.  Electric Distribution Network Expansion Under Load-Evolution Uncertainty Using an Immune System Inspired Algorithm , 2007, IEEE Transactions on Power Systems.

[31]  D. T. Nguyen,et al.  Pool-Based Demand Response Exchange—Concept and Modeling , 2011 .

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

[33]  Jamshid Aghaei,et al.  Multistage distribution system expansion planning considering distributed generation using hybrid evolutionary algorithms , 2013 .

[34]  Amany El-Zonkoly,et al.  Multistage expansion planning for distribution networks including unit commitment , 2013 .

[35]  Brian J. Sauser,et al.  Systomics: Toward a Biology of System of Systems , 2010, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[36]  Rahmat-Allah Hooshmand,et al.  Distribution network expansion planning and DG placement in the presence of uncertainties , 2015 .

[37]  Fushuan Wen,et al.  Scenario-Based Comprehensive Expansion Planning for Distribution Systems Considering Integration of Plug-in Electric Vehicles , 2016, IEEE Transactions on Power Systems.

[38]  C. Borges,et al.  Active distribution network integrated planning incorporating distributed generation and load response uncertainties , 2011, 2012 IEEE Power and Energy Society General Meeting.

[39]  Ehab F. El-Saadany,et al.  Long-term multi-objective distribution network planning by DG allocation and feeders’ reconfiguration , 2013 .

[40]  Nikos D. Hatziargyriou,et al.  A review of power distribution planning in the modern power systems era: Models, methods and future research , 2015 .

[41]  Bingfeng Ge,et al.  A Novel Executable Modeling Approach for System-of-Systems Architecture , 2014, IEEE Systems Journal.

[42]  Hassan Monsef,et al.  Dynamic sub-transmission substation expansion planning using learning automata , 2013 .

[43]  John Boardman,et al.  Taking Hold of System of Systems Management , 2008 .

[44]  Gerard Ledwich,et al.  A New Risk-Managed Planning of Electric Distribution Network Incorporating Customer Engagement and Temporary Solutions , 2016, IEEE Transactions on Sustainable Energy.

[45]  Jiming Chen,et al.  A Survey on Demand Response in Smart Grids: Mathematical Models and Approaches , 2015, IEEE Transactions on Industrial Informatics.

[46]  Hamidreza Zareipour,et al.  A chance constrained programming approach to integrated planning of distributed power generation and natural gas network , 2017 .