A new demand response algorithm for solar PV intermittency management
暂无分享,去创建一个
Nandha Kumar Kandasamy | B. Sivaneasan | K. P. Goh | N. Kandasamy | B. Sivaneasan | M. L. Lim | May Lin Lim | Kwang Ping Goh
[1] Michael Stadler,et al. Quantifying Flexibility of Commercial and Residential Loads for Demand Response using Setpoint Changes , 2016 .
[2] J. Kleissl,et al. Evaluation of numerical weather prediction for intra-day solar forecasting in the continental United States , 2011 .
[3] Chongqing Kang,et al. Review and prospect of integrated demand response in the multi-energy system , 2017 .
[4] Sanem Sergici,et al. Dynamic Pricing of Electricity for Residential Customers: The Evidence from Michigan , 2012 .
[5] Henrik Madsen,et al. Online short-term solar power forecasting , 2009 .
[6] Carlos F.M. Coimbra,et al. Streamline-based method for intra-day solar forecasting through remote sensing , 2014 .
[7] H. Madsen,et al. Benefits and challenges of electrical demand response: A critical review , 2014 .
[8] S. M. Hakimi,et al. Optimal Planning of a Smart Microgrid Including Demand Response and Intermittent Renewable Energy Resources , 2014, IEEE Transactions on Smart Grid.
[9] Mathieu David,et al. Combining solar irradiance measurements, satellite-derived data and a numerical weather prediction model to improve intra-day solar forecasting , 2016 .
[10] Johan Lilliestam,et al. The potential and usefulness of demand response to provide electricity system services , 2017 .
[11] Meihong Wang,et al. Energy storage technologies and real life applications – A state of the art review , 2016 .
[12] Hongxing Yang,et al. A feasibility study of a stand-alone hybrid solar–wind–battery system for a remote island , 2014 .
[13] Gordon Reikard. Predicting solar radiation at high resolutions: A comparison of time series forecasts , 2009 .
[14] Shengwei Wang,et al. Cooling supply-based HVAC system control for fast demand response of buildings to urgent requests of smart grids , 2016 .
[15] C. Fitzpatrick,et al. Demand side management of industrial electricity consumption: Promoting the use of renewable energy through real-time pricing , 2014 .
[16] Guoqiang Hu,et al. Optimal coordination of air conditioning system and personal fans for building energy efficiency improvement , 2017 .
[17] Farrokh Rahimi,et al. Demand Response as a Market Resource Under the Smart Grid Paradigm , 2010, IEEE Transactions on Smart Grid.
[18] Seul-Ki Kim,et al. Impact of Smart Grid Technologies on Peak Load to 2050 , 2011 .
[19] Mahdi Shahbakhti,et al. Building-to-grid predictive power flow control for demand response and demand flexibility programs , 2017 .
[20] Onur Elma,et al. Implementation of a dynamic energy management system using real time pricing and local renewable energy generation forecasts , 2017 .
[21] David Infield,et al. Impact of widespread photovoltaics generation on distribution systems , 2007 .
[22] Daniel M. Kammen,et al. The role of large-scale energy storage design and dispatch in the power grid: A study of very high grid penetration of variable renewable resources , 2014 .
[23] Gm. Shafiullah,et al. Modeling techniques used in building HVAC control systems: A review , 2017 .
[24] D.S. Kirschen,et al. Impact on the Power System of a Large Penetration of Photovoltaic Generation , 2007, 2007 IEEE Power Engineering Society General Meeting.
[25] Fu Xiao,et al. Investigation of demand response potentials of residential air conditioners in smart grids using grey-box room thermal model , 2017 .
[26] J. Torriti,et al. A review of the costs and benefits of demand response for electricity in the UK , 2013 .
[27] K. T. Tan,et al. Preemptive Demand Response Management for Buildings , 2015, IEEE Transactions on Sustainable Energy.
[28] Giorgio Graditi,et al. Comparative analysis of data-driven methods online and offline trained to the forecasting of grid-connected photovoltaic plant production , 2017 .
[29] Juan Solano,et al. Assessing the potential of PV hybrid systems to cover HVAC loads in a grid-connected residential building through intelligent control , 2017 .
[30] Ying Wang,et al. Lighting systems control for demand response , 2012, 2012 IEEE PES Innovative Smart Grid Technologies (ISGT).
[31] Mohammed H. Albadi,et al. A summary of demand response in electricity markets , 2008 .
[32] Ned Djilali,et al. Renewable resources portfolio optimization in the presence of demand response , 2016 .
[33] S. Bando,et al. Demand participation in the power market by load curtailment of building energy use and distributed generation of commercial customers in Japan , 2009, 2009 International Conference on Clean Electrical Power.
[34] Cesar Diaz,et al. Modeling and control of water booster pressure systems as flexible loads for demand response , 2017 .
[35] Yang Su,et al. Token based scheduling for energy management in building HVAC systems , 2016 .
[36] Nandha Kumar Kandasamy,et al. Virtual storage capacity using demand response management to overcome intermittency of solar PV generation , 2017 .
[37] Y. Wang,et al. Time-of-use based electricity demand response for sustainable manufacturing systems , 2013 .
[38] Luiz Augusto N. Barroso,et al. Time-of-Use Tariff Design Under Uncertainty in Price-Elasticities of Electricity Demand: A Stochastic Optimization Approach , 2013, IEEE Transactions on Smart Grid.
[39] J. Lilliestam,et al. Development of SuperSmart Grids for a more efficient utilisation of electricity from renewable sources , 2009 .