Virtual power plants for a sustainable urban future

[1]  M. Tajeddini,et al.  Risk averse optimal operation of a virtual power plant using two stage stochastic programming , 2014 .

[2]  Chaomei Chen,et al.  The Structure and Dynamics of Co Citation Clusters: A Multiple Perspective Co-Citation Analysis. , 2011 .

[3]  Christof Wittwer,et al.  Decentralised optimisation of cogeneration in virtual power plants , 2010 .

[4]  Donald Huisingh,et al.  A literature review of historical trends and emerging theoretical approaches for developing sustainable cities (part 1) , 2015 .

[5]  Danny Pudjianto,et al.  Virtual power plant and system integration of distributed energy resources , 2007 .

[6]  Ozan Erdinc,et al.  An adaptive load dispatching and forecasting strategy for a virtual power plant including renewable energy conversion units , 2014 .

[7]  R. Pressey,et al.  Coal, Cumulative Impacts, and the Great Barrier Reef , 2016 .

[8]  Mohammad Kazem Sheikh-El-Eslami,et al.  Decision making of a virtual power plant under uncertainties for bidding in a day-ahead market using point estimate method , 2013 .

[9]  Oya Ekin Karasan,et al.  Cost and emission impacts of virtual power plant formation in plug-in hybrid electric vehicle penetrated networks , 2013 .

[10]  Bindeshwar Singh,et al.  A review on distributed generation planning , 2017 .

[11]  Ivana Kockar,et al.  The economics of distributed energy generation: a literature review , 2015 .

[12]  Alireza Zakariazadeh,et al.  Day-ahead resource scheduling of a renewable energy based virtual power plant , 2016 .

[13]  Tomislav Dragičević,et al.  Economic dispatch of virtual power plants in an event-driven service-oriented framework using standa , 2011 .

[14]  Russell McKenna,et al.  The double-edged sword of decentralized energy autonomy , 2018 .

[15]  Anzar Mahmood,et al.  Prosumer based energy management and sharing in smart grid , 2018 .

[16]  Nouredine Hadjsaid,et al.  On the concept and the interest of virtual power plant: Some results from the European project Fenix , 2009, 2009 IEEE Power & Energy Society General Meeting.

[17]  Christoph F. Reinhart,et al.  Urban building energy modeling – A review of a nascent field , 2015 .

[18]  Heidar Ali Shayanfar,et al.  Day-ahead stochastic multi-objective economic/emission operational scheduling of a large scale virtual power plant , 2019, Energy.

[19]  Zhao Yang Dong,et al.  Optimal scheduling of distributed energy resources as a virtual power plant in a transactive energy framework , 2017 .

[20]  Jian Xu,et al.  A bi-level scheduling model for virtual power plants with aggregated thermostatically controlled loads and renewable energy , 2018, Applied Energy.

[21]  T. Reindl,et al.  Impact of urban block typology on building solar potential and energy use efficiency in tropical high-density city , 2019, Applied Energy.

[22]  Ying-Yi Hong,et al.  A hybrid deep learning-based neural network for 24-h ahead wind power forecasting , 2019, Applied Energy.

[23]  Matej Zajc,et al.  Virtual power plant architecture using OpenADR 2.0b for dynamic charging of automated guided vehicles , 2019, International Journal of Electrical Power & Energy Systems.

[24]  Scott W. Kennedy,et al.  A Novel Demand Response Model with an Application for a Virtual Power Plant , 2015, IEEE Transactions on Smart Grid.

[25]  Wang Dan,et al.  Concept and Development of Virtual Power Plant , 2013 .

[26]  Bjarne Poulsen,et al.  Electric vehicle fleet integration in the danish EDISON project - A virtual power plant on the island of Bornholm , 2010, IEEE PES General Meeting.

[27]  Luis Baringo,et al.  Day-Ahead Self-Scheduling of a Virtual Power Plant in Energy and Reserve Electricity Markets Under Uncertainty , 2019, IEEE Transactions on Power Systems.

[28]  Igor Kuzle,et al.  Virtual power plant mid-term dispatch optimization , 2013 .

[29]  Lei Yan,et al.  Interactive Dispatch Modes and Bidding Strategy of Multiple Virtual Power Plants Based on Demand Response and Game Theory , 2016, IEEE Transactions on Smart Grid.

[30]  K. Nagasaka,et al.  Mapping of solar energy potential in Indonesia using artificial neural network and geographical information system , 2012 .

[31]  H. Bulkeley.  Urban Sustainability: Learning from Best Practice? , 2006 .

[32]  R. Madlener,et al.  Impacts of urbanization on urban structures and energy demand: What can we learn for urban energy planning and urbanization management? , 2011 .

[33]  Andreas K. Athienitis,et al.  Building-Integrated Photovoltaics: Distributed Energy Development for Urban Sustainability , 2014 .

[34]  Qianchuan Zhao,et al.  Control and Bidding Strategy for Virtual Power Plants With Renewable Generation and Inelastic Demand in Electricity Markets , 2016, IEEE Transactions on Sustainable Energy.

[35]  Kristen S. Cetin,et al.  Modeling urban building energy use: A review of modeling approaches and procedures , 2017 .

[36]  Aapo Huovila,et al.  What are the differences between sustainable and smart cities , 2017 .

[37]  Seung Ho Hong,et al.  A data mining-driven incentive-based demand response scheme for a virtual power plant , 2019, Applied Energy.

[38]  M. Rahimiyan,et al.  Strategic Bidding for a Virtual Power Plant in the Day-Ahead and Real-Time Markets: A Price-Taker Robust Optimization Approach , 2016, IEEE Transactions on Power Systems.

[39]  Evangelos Rikos,et al.  Implementing agent-based emissions trading for controlling Virtual Power Plant emissions , 2013 .

[40]  Pierluigi Siano,et al.  An internet of energy framework with distributed energy resources, prosumers and small-scale virtual power plants: An overview , 2020 .

[41]  Ming Xu,et al.  Infrastructure ecology: an evolving paradigm for sustainable urban development , 2017 .

[42]  Zhongfu Tan,et al.  A bi-level stochastic scheduling optimization model for a virtual power plant connected to a wind–photovoltaic–energy storage system considering the uncertainty and demand response , 2016 .

[43]  Kristin Dietrich,et al.  Modelling and assessing the impacts of self supply and market-revenue driven Virtual Power Plants , 2015 .

[44]  Francesco Grimaccia,et al.  Analysis and validation of 24 hours ahead neural network forecasting of photovoltaic output power , 2017, Math. Comput. Simul..

[45]  J. Oyarzabal,et al.  A Direct Load Control Model for Virtual Power Plant Management , 2009, IEEE Transactions on Power Systems.

[46]  Yoshiki Yamagata,et al.  Simulating a future smart city: An integrated land use-energy model , 2013 .

[47]  Peter Palensky,et al.  Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads , 2011, IEEE Transactions on Industrial Informatics.

[48]  Antonio J. Conejo,et al.  Offering model for a virtual power plant based on stochastic programming , 2013 .

[49]  R. Yang,et al.  Value Comparison of Distributed Solar Energy Applications in Commercial Buildings Across China , 2018, Sustainability in Energy and Buildings 2018.

[50]  Ken Nagasaka,et al.  Utility-scale implementable potential of wind and solar energies for Afghanistan using GIS multi-criteria decision analysis , 2017 .

[51]  R. Kingston,et al.  Smart Cities and Green Growth: Outsourcing Democratic and Environmental Resilience to the Global Technology Sector , 2014 .

[52]  Miguel Brito,et al.  Modelling solar potential in the urban environment: State-of-the-art review , 2015 .

[53]  Dong Wook Sohn,et al.  The effect of neighbourhood-level urban form on residential building energy use: A GIS-based model using building energy benchmarking data in Seattle , 2019, Energy and Buildings.

[54]  Javad Nikoukar,et al.  Optimal management of renewable energy sources by virtual power plant , 2017 .

[55]  A. Fujiwara,et al.  Analysis of the residential location choice and household energy consumption behavior by incorporating multiple self-selection effects , 2012 .

[56]  M. Martinis,et al.  The East West Link PPP Project's Failure to Launch: When One Crash‐Through Approach is Not Enough* , 2017 .

[57]  Nasrudin Abd Rahim,et al.  A review on global solar energy policy , 2011 .

[58]  Francesco Frontini,et al.  A review study about energy renovation of building facades with BIPV in urban environment , 2019, Sustainable Cities and Society.

[59]  Hou Linna,et al.  A Review on Risk Management of Virtual Power Plant , 2019, 2019 IEEE 8th International Conference on Advanced Power System Automation and Protection (APAP).

[60]  M. Sheikh-El-Eslami,et al.  A medium-term coalition-forming model of heterogeneous DERs for a commercial virtual power plant , 2016 .

[61]  Zhongfu Tan,et al.  Multi-objective stochastic scheduling optimization model for connecting a virtual power plant to wind-photovoltaic-electric vehicles considering uncertainties and demand response , 2016 .

[62]  Rahmat-Allah Hooshmand,et al.  A comprehensive review on microgrid and virtual power plant concepts employed for distributed energy resources scheduling in power systems , 2017 .

[63]  Chris I. Goodier,et al.  Alternative future energy pathways: Assessment of the potential of innovative decentralised energy systems in the UK , 2014 .

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

[65]  Fei Teng,et al.  Scenario generation of aggregated Wind, Photovoltaics and small Hydro production for power systems applications , 2019, Applied Energy.

[66]  Tao Jin,et al.  Risk-Constrained Optimal Energy Management for Virtual Power Plants Considering Correlated Demand Response , 2019, IEEE Transactions on Smart Grid.

[67]  Ali Badri,et al.  Day-ahead scheduling of virtual power plant in joint energy and regulation reserve markets under uncertainties , 2017 .

[68]  Chris I. Goodier,et al.  Concern or compliance? Drivers of urban decentralised energy initiatives , 2014 .

[69]  Jorge J. Gómez-Sanz,et al.  A multi-agent system architecture for smart grid management and forecasting of energy demand in virtual power plants , 2013, IEEE Communications Magazine.

[70]  Nikos D. Hatziargyriou,et al.  Voltage Regulation Support Along a Distribution Line by a Virtual Power Plant Based on a Center of Mass Load Modeling , 2018, IEEE Transactions on Smart Grid.

[71]  Hongbo Lian,et al.  Optimal dispatch of virtual power plant using interval and deterministic combined optimization , 2018, International Journal of Electrical Power & Energy Systems.

[72]  Xing Yan,et al.  Research on Optimal Scheduling in Market Transaction for the Participation of Virtual Power Plants , 2019, 2019 6th International Conference on Information Science and Control Engineering (ICISCE).

[73]  Jens-Phillip Petersen,et al.  Energy concepts for self-supplying communities based on local and renewable energy sources: A case study from northern Germany , 2016 .

[74]  M. Kurrat,et al.  Virtual power plants with combined heat and power micro-units , 2005, 2005 International Conference on Future Power Systems.

[75]  Z. Tan,et al.  Application of CVaR risk aversion approach in the dynamical scheduling optimization model for virtual power plant connected with wind-photovoltaic-energy storage system with uncertainties and demand response , 2017 .

[76]  Gang Liu,et al.  Modeling of district load forecasting for distributed energy system , 2017 .

[77]  M. Sheikh-El-Eslami,et al.  An interactive cooperation model for neighboring virtual power plants , 2017 .

[78]  S. Chatterji,et al.  Multi objective optimal dispatch in a virtual power plant using genetic algorithm , 2013, 2013 International Conference on Renewable Energy and Sustainable Energy (ICRESE).

[79]  Qing Shen,et al.  An empirical analysis of the influence of urban form on household travel and energy consumption , 2011 .

[80]  Jianguo Wu,et al.  Defining and measuring urban sustainability: a review of indicators , 2015, Landscape Ecology.

[81]  Luis Baringo,et al.  A Stochastic Adaptive Robust Optimization Approach for the Offering Strategy of a Virtual Power Plant , 2017, IEEE Transactions on Power Systems.

[82]  J. Koppenjan,et al.  Public participation in China: sustainable urbanization and governance , 2007 .

[83]  Mahdi Raoofat,et al.  Bidding strategy for participation of virtual power plant in energy market considering uncertainty of generation and market price , 2017, 2017 Smart Grid Conference (SGC).

[84]  Willett Kempton,et al.  Vehicle-to-grid power implementation: From stabilizing the grid to supporting large-scale renewable energy , 2005 .

[85]  S. M. Moghaddas-Tafreshi,et al.  Bidding Strategy of Virtual Power Plant for Participating in Energy and Spinning Reserve Markets—Part II: Numerical Analysis , 2011, IEEE Transactions on Power Systems.

[86]  Joao P. S. Catalao,et al.  Strategic bidding of virtual power plant in energy markets: A bi-level multi-objective approach , 2019 .

[87]  Prashant Baredar,et al.  Comparison of BIPV and BIPVT: A review , 2017, Resource-Efficient Technologies.

[88]  Ramachandra Kota,et al.  An Agent-Based Approach to Virtual Power Plants of Wind Power Generators and Electric Vehicles , 2013, IEEE Transactions on Smart Grid.

[89]  M. V. Guisado,et al.  Solar resources and power potential mapping in Vietnam using satellite-derived and GIS-based information , 2015 .

[90]  Zhongfu Tan,et al.  Bidding Strategy of Virtual Power Plant with Energy Storage Power Station and Photovoltaic and Wind Power , 2018 .

[91]  Jing Zhu,et al.  The Optimal Dispatch of a Power System Containing Virtual Power Plants under Fog and Haze Weather , 2016 .

[92]  Chaomei Chen,et al.  CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature , 2006, J. Assoc. Inf. Sci. Technol..

[93]  Mohammad Kazem Sheikh-El-Eslami,et al.  The design of a risk-hedging tool for virtual power plants via robust optimization approach , 2015 .

[94]  Chongxin Huang,et al.  Distributed Economic Dispatch of Virtual Power Plant under a Non-Ideal Communication Network , 2017 .

[95]  Anastasios G. Bakirtzis,et al.  Optimal Offering Strategy of a Virtual Power Plant: A Stochastic Bi-Level Approach , 2016, IEEE Transactions on Smart Grid.

[96]  Neelkanth G. Dhere,et al.  Fire hazard and other safety concerns of photovoltaic systems , 2012 .

[97]  S. M. Moghaddas-Tafreshi,et al.  Bidding Strategy of Virtual Power Plant for Participating in Energy and Spinning Reserve Markets—Part I: Problem Formulation , 2011, IEEE Transactions on Power Systems.

[98]  Miguel P. Amado,et al.  Public Participation in Sustainable Urban Planning , 2009 .

[99]  Xu Wang,et al.  Bidding strategy analysis of virtual power plant considering demand response and uncertainty of renewable energy , 2017 .

[100]  J. Scartezzini,et al.  Quantifying the impact of urban climate by extending the boundaries of urban energy system modeling , 2018, Applied Energy.

[101]  Andreas Sumper,et al.  A review of energy storage technologies for wind power applications , 2012 .

[102]  Dong Yue,et al.  Economic dispatch of power systems with virtual power plant based interval optimization method , 2016 .

[103]  Liwei Ju,et al.  A multi-objective robust scheduling model and solution algorithm for a novel virtual power plant connected with power-to-gas and gas storage tank considering uncertainty and demand response , 2019, Applied Energy.

[104]  A. Cronin,et al.  The Photovoltaic Heat Island Effect: Larger solar power plants increase local temperatures , 2016, Scientific Reports.

[105]  P. Asmus.  Microgrids, Virtual Power Plants and Our Distributed Energy Future , 2010 .

[106]  William D'haeseleer,et al.  Bidding strategies for virtual power plants considering CHPs and intermittent renewables , 2015 .

[107]  Deqian Kong,et al.  Bi-level multi-time scale scheduling method based on bidding for multi-operator virtual power plant , 2019, Applied Energy.

[108]  Henry G. Small,et al.  Co-citation in the scientific literature: A new measure of the relationship between two documents , 1973, J. Am. Soc. Inf. Sci..

[109]  Jianhua Hou,et al.  The structure and dynamics of cocitation clusters: A multiple-perspective cocitation analysis , 2010, J. Assoc. Inf. Sci. Technol..

[110]  Pierluigi Mancarella,et al.  Integrated techno-economic modeling, flexibility analysis, and business case assessment of an urban virtual power plant with multi-market co-optimization , 2020 .

[111]  Clark A. Miller,et al.  Social Planning for Energy Transitions , 2014 .

[112]  Saeed Rahmani Dabbagh,et al.  Risk-based profit allocation to DERs integrated with a virtual power plant using cooperative Game theory , 2015 .

[113]  Kit Po Wong,et al.  Short-term operational planning framework for virtual power plants with high renewable penetrations , 2016 .

[114]  Li Li,et al.  A review on the virtual power plant: Components and operation systems , 2016, 2016 IEEE International Conference on Power System Technology (POWERCON).

[115]  E. Arcaklioğlu,et al.  Use of artificial neural networks for mapping of solar potential in Turkey , 2004 .

[116]  I. G. Moghaddam,et al.  Risk-averse profit-based optimal operation strategy of a combined wind farm–cascade hydro system in an electricity market , 2013 .

[117]  S. Wilkinson,et al.  Identifying critical factors affecting the effectiveness and efficiency of tendering processes in Public–Private Partnerships (PPPs): A comparative analysis of Australia and China , 2016 .

[118]  M. Alberti.  Measuring urban sustainability , 1996 .

[119]  M. Lossner,et al.  Economic assessment of virtual power plants in the German energy market — A scenario-based and model-supported analysis , 2017 .

[120]  Marco Giuntoli,et al.  Optimized Thermal and Electrical Scheduling of a Large Scale Virtual Power Plant in the Presence of Energy Storages , 2013, IEEE Transactions on Smart Grid.

[121]  Poushali Pal,et al.  A broad review on optimal operation of Virtual power plant , 2019, 2019 2nd International Conference on Power and Embedded Drive Control (ICPEDC).

[122]  D. Kammen,et al.  City-integrated renewable energy for urban sustainability , 2016, Science.

[123]  Jarosław Milewski,et al.  Virtual Power Plants - general review : structure, application and optimization , 2012 .

[124]  H. Saboori,et al.  Virtual Power Plant (VPP), Definition, Concept, Components and Types , 2011, 2011 Asia-Pacific Power and Energy Engineering Conference.

[125]  Julio J. Ochoa,et al.  The application of urban sustainability indicators – A comparison between various practices , 2011 .

[126]  M. Robba,et al.  Energy planning of sustainable districts: Towards the exploitation of small size intermittent renewables in urban areas , 2018, Applied Energy.

[127]  Kai Strunz,et al.  Wind and Solar Power Integration in Electricity Markets and Distribution Networks Through Service-Centric Virtual Power Plants , 2018, IEEE Transactions on Power Systems.

[128]  Andrew Karvonen,et al.  Smart and sustainable? Five tensions in the visions and practices of the smart-sustainable city in Europe and North America , 2018, Technological Forecasting and Social Change.

[129]  Yajuan Liu,et al.  Uncertainties of virtual power plant: Problems and countermeasures , 2019, Applied Energy.

[130]  Fausto Sargeni,et al.  A Matlab Simulink model for the study of smart grid — Grid-integrated vehicles interactions , 2017, 2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI).

[131]  Yekang Ko,et al.  Socio-technical evolution of Decentralized Energy Systems: A critical review and implications for urban planning and policy , 2016 .

[132]  Hongming Yang,et al.  Distributed Optimal Dispatch of Virtual Power Plant via Limited Communication , 2013, IEEE Transactions on Power Systems.

[133]  Jinde Cao,et al.  Bi-level optimal dispatch in the Virtual Power Plant considering uncertain agents number , 2015, Neurocomputing.