A model-based predictive dispatch strategy for unlocking and optimizing the building energy flexibilities of multiple resources in electricity markets of multiple services

[1]  Vincent W. S. Wong,et al.  Optimization of Aggregate Capacity of PEVs for Frequency Regulation Service in Day-Ahead Market , 2018, IEEE Transactions on Smart Grid.

[2]  Pierluigi Mancarella,et al.  Flexibility in Multi-Energy Communities With Electrical and Thermal Storage: A Stochastic, Robust Approach for Multi-Service Demand Response , 2019, IEEE Transactions on Smart Grid.

[3]  Olivier Grunder,et al.  Energy Management in Electrical Smart Grid Environment Using Robust Optimization Algorithm , 2018, IEEE Transactions on Industry Applications.

[4]  Chongqing Kang,et al.  Optimal Bidding Strategy of Battery Storage in Power Markets Considering Performance-Based Regulation and Battery Cycle Life , 2016, IEEE Transactions on Smart Grid.

[5]  Rui Jing,et al.  Fair P2P energy trading between residential and commercial multi-energy systems enabling integrated demand-side management , 2020 .

[6]  Filipe Joel Soares,et al.  Optimal bidding strategy for an aggregator of prosumers in energy and secondary reserve markets , 2019, Applied Energy.

[7]  H. Auer,et al.  Business cases of aggregated flexibilities in multiple electricity markets in a European market design , 2021 .

[8]  Shengwei Wang,et al.  Flexibility categorization, sources, capabilities and technologies for energy-flexible and grid-responsive buildings: State-of-the-art and future perspective , 2020 .

[9]  Daniel S. Kirschen,et al.  Modeling of Lithium-Ion Battery Degradation for Cell Life Assessment , 2018, IEEE Transactions on Smart Grid.

[10]  Sergio Grammatico,et al.  Distributed Demand Side Management With Stochastic Wind Power Forecasting , 2022, IEEE Transactions on Control Systems Technology.

[11]  Zhengtian Li,et al.  Two-stage self-scheduling of battery swapping station in day-ahead energy and frequency regulation markets , 2020 .

[12]  Xiandong Xu,et al.  Hierarchical microgrid energy management in an office building , 2017 .

[13]  G. Henze,et al.  Assessment of Commercial Building Lighting as a Frequency Regulation Resource , 2020, Energies.

[14]  Shinji Kitagami,et al.  Experimental Evaluation of a Fast Demand Response System for Small/Medium-Scale Office Buildings , 2017, 2017 31st International Conference on Advanced Information Networking and Applications Workshops (WAINA).

[15]  Li Xiaolei,et al.  Using Dimmable Lighting for Regulation Capacity and Non-Spinning Reserves in the Ancillary Services Market. A Feasibility Study. , 2011 .

[16]  Tyrone L. Vincent,et al.  Potentials and Economics of Residential Thermal Loads Providing Regulation Reserve , 2014, ArXiv.

[17]  E. Lannoye,et al.  Evaluation of Power System Flexibility , 2012, IEEE Transactions on Power Systems.

[18]  Young-Jin Kim,et al.  Analysis and Experimental Implementation of Grid Frequency Regulation Using Behind-the-Meter Batteries Compensating for Fast Load Demand Variations , 2017, IEEE Transactions on Power Systems.

[19]  Peng Zhao,et al.  Dynamic frequency regulation resources of commercial buildings through combined building system resources using a supervisory control methodology , 2015 .

[20]  Peter J. Fleming,et al.  The MATLAB genetic algorithm toolbox , 1995 .

[21]  Di Wang,et al.  Using Battery Storage for Peak Shaving and Frequency Regulation: Joint Optimization for Superlinear Gains , 2017, 2018 IEEE Power & Energy Society General Meeting (PESGM).

[22]  Li-ion batteries for peak shaving, price arbitrage, and photovoltaic self-consumption in commercial buildings: A Monte Carlo Analysis , 2021 .

[23]  Theis Heidmann Pedersen,et al.  Multi-market demand response using economic model predictive control of space heating in residential buildings , 2017 .

[24]  Shengwei Wang,et al.  Evaluation of a fast power demand response strategy using active and passive building cold storages for smart grid applications , 2015 .

[25]  Saif Sabah Sami,et al.  Potential of demand side response aggregation for the stabilization of the grids frequency , 2018, Applied Energy.

[26]  Mariagrazia Dotoli,et al.  Robust Optimal Energy Management of a Residential Microgrid Under Uncertainties on Demand and Renewable Power Generation , 2021, IEEE Transactions on Automation Science and Engineering.

[27]  Arindam Ghosh,et al.  Demand-side response model to avoid spike of electricity price , 2014 .

[28]  Shengwei Wang,et al.  Model-based multi-objective predictive scheduling and real-time optimal control of energy systems in zero/low energy buildings using a game theory approach , 2020 .

[29]  Jinye Zhao,et al.  A Unified Framework for Defining and Measuring Flexibility in Power System , 2016, IEEE Transactions on Power Systems.

[30]  Sylvie Thiébaux,et al.  Network-Secure and Price-Elastic Aggregator Bidding in Energy and Reserve Markets , 2021, IEEE Transactions on Smart Grid.

[31]  Cesar A. Silva-Monroy,et al.  A comparison of policies on the participation of storage in U.S. frequency regulation markets , 2016, 2016 IEEE Power and Energy Society General Meeting (PESGM).

[32]  Ying Wang,et al.  Demand side management of plug-in electric vehicles and coordinated unit commitment: A novel parallel competitive swarm optimization method , 2019, Energy Conversion and Management.

[33]  Mariagrazia Dotoli,et al.  Robust Day-Ahead Energy Scheduling of a Smart Residential User Under Uncertainty , 2019, 2019 18th European Control Conference (ECC).

[34]  Arvind R. Singh,et al.  Intelligent demand side management for optimal energy scheduling of grid connected microgrids , 2021 .

[35]  Vicenç Puig,et al.  Robust Economic Model Predictive Control Based on a Zonotope and Local Feedback Controller for Energy Dispatch in Smart-Grids Considering Demand Uncertainty , 2020 .

[36]  Vincent J. Cushing,et al.  Optimizing commercial building participation in energy and ancillary service markets , 2014 .

[37]  In-Ho Yang,et al.  Economic analysis of the daylight-linked lighting control system in office buildings , 2010 .

[38]  L. Pellegrino,et al.  Battery Energy Storage Systems for frequency regulation: Simplified aging evaluation , 2017, 2017 6th International Conference on Clean Electrical Power (ICCEP).

[39]  Hemanshu R. Pota,et al.  Energy management for a commercial building microgrid with stationary and mobile battery storage , 2016 .

[40]  Shengwei Wang,et al.  A fast chiller power demand response control strategy for buildings connected to smart grid , 2015 .

[41]  Fei Wang,et al.  Multi-Objective Optimization Model of Source–Load–Storage Synergetic Dispatch for a Building Energy Management System Based on TOU Price Demand Response , 2018, IEEE Transactions on Industry Applications.

[42]  M. F. Abdullah,et al.  A review on peak load shaving strategies , 2018 .

[43]  Jianzhong Wu,et al.  Framework design and optimal bidding strategy for ancillary service provision from a peer-to-peer energy trading community , 2020, Applied Energy.

[44]  Abdellatif Miraoui,et al.  Demand side energy management of EV charging stations by approximate dynamic programming , 2019, Energy Conversion and Management.

[45]  Shengwei Wang,et al.  The impact of providing frequency regulation service to power grids on indoor environment control and dedicated test signals for buildings , 2020 .

[46]  David H. Blum,et al.  A novel multi-market optimization problem for commercial heating, ventilation, and air-conditioning systems providing ancillary services using multi-zone inverse comprehensive room transfer functions , 2016 .

[47]  Peter Lund,et al.  Review of energy system flexibility measures to enable high levels of variable renewable electricity , 2015 .

[48]  Ram Rajagopal,et al.  Optimal bidding strategy for microgrids in joint energy and ancillary service markets considering flexible ramping products , 2017 .

[49]  Ali Ahmadian,et al.  Optimal bidding strategy of a virtual power plant in day-ahead energy and frequency regulation markets: A deep learning-based approach , 2021 .

[50]  Shengwei Wang,et al.  Experimental study on the dynamics, quality and impacts of using variable-speed pumps in buildings for frequency regulation of smart power grids , 2020 .

[51]  Miguel A. Ortega-Vazquez,et al.  Optimal scheduling of electric vehicle charging and vehicle-to-grid services at household level including battery degradation and price uncertainty , 2014 .

[52]  Hamidreza Zareipour,et al.  Operation Scheduling of Battery Storage Systems in Joint Energy and Ancillary Services Markets , 2017, IEEE Transactions on Sustainable Energy.