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Flexibility in multi-energy communities with electrical and thermal storage: A stochastic, robust approach for multi-service demand response

Nicholas Good, Pierluigi Mancarella
2017 IEEE Transactions on Smart Grid  
There is increasing interest in multi-energy communities, which could become important sources of demand response flexibility, especially when equipped with storage.  ...  Index Terms-Multi-energy systems, community energy systems, smart district, flexibility, energy storage, batteries, demand response.  ...  In response to these gaps, this work presents a stochastic, smart district optimization model for DR resources in a community energy system/district.  ... 
doi:10.1109/tsg.2017.2745559 fatcat:fb2gncqpvjhwnckds4hwreugwa

Optimal Stochastic Deployment of Heterogeneous Energy Storage in a Residential Multi-Energy Microgrid with Demand-Side Management

Zhengmao Li, Yan Xu, Xue Feng, Qiuwei Wu
2020 IEEE Transactions on Industrial Informatics  
The optimal deployment of heterogeneous energy storage (HES), which mainly consists of electrical and thermal energy storage, is essential for increasing the holistic energy utilization efficiency of multi-energy  ...  Consequently, this paper proposes a risk-averse method for HES deployment in a residential multi-energy microgrid (RMEMG), considering the diverse uncertainties and multi-energy demand-side management  ...  Price-based Demand Response (PBDR) for Electricity The PBDR is adopted for electricity DSM in the RMEMG.  ... 
doi:10.1109/tii.2020.2971227 fatcat:ilwdihnpcvgmxeawmne45b7g6u

Optimization of Multi-Energy Microgrid Operation in the Presence of PV, Heterogeneous Energy Storage and Integrated Demand Response

Jingshan Wang, Ke-Jun Li, Yongliang Liang, Zahid Javid
2021 Applied Sciences  
In this paper, a model is proposed for the optimal operation of multi-energy microgrids (MEMGs) in the presence of solar photovoltaics (PV), heterogeneous energy storage (HES) and integrated demand response  ...  The concept of demand response is extended and mathematically modeled using a linear function based on the quantized flexibility interval of multi-energy load demand.  ...  In [32] , a demand response mechanism of electro-thermal IES considering electrical and thermal load is proposed, and a multi-objective operation optimization model is established based on the DR mechanism  ... 
doi:10.3390/app11031005 fatcat:b427ncddifbx3h6v5tlilutclu

Optimal corrective dispatch of uncertain virtual energy storage systems

Mahraz Amini, Mads Almassalkhi
2020 IEEE Transactions on Smart Grid  
The uncertainty studied herein is associated with estimating the state of charge and the capacity of an aggregation of DERs (i.e., a virtual energy storage system or VESS).  ...  High penetrations of intermittent renewable energy resources in the power system require large balancing reserves for reliable operations.  ...  Unlike that work, we consider dispatchable energy storage resources that are uncertain and develop a tractable approach to solve a stochastic multi-stage OPF problem.  ... 
doi:10.1109/tsg.2020.2979173 fatcat:lc2a2anszreqlcwulcmz7gyixa

Optimal corrective dispatch of uncertain virtual energy storage systems [article]

Mahraz Amini, Mads Almassalkhi
2019 arXiv   pre-print
The uncertainty studied herein is associated with estimating the state of charge and the capacity of an aggregation of DERs (i.e., a virtual energy storage system or VESS).  ...  High penetrations of intermittent renewable energy resources in the power system require large balancing reserves for reliable operations.  ...  Unlike that work, we consider dispatchable energy storage resources that are uncertain and develop a tractable approach to solve a stochastic multi-stage OPF problem.  ... 
arXiv:1810.08685v3 fatcat:e5fppuxelzahflwrg66x7lpg6m

Large-scale grid integration of residential thermal energy storages as demand-side flexibility resource: A review of international field studies

Peter Kohlhepp, Hassan Harb, Henryk Wolisz, Simon Waczowicz, Dirk Müller, Veit Hagenmeyer
2019 Renewable & Sustainable Energy Reviews  
CHP units), flywheels, pumped hydro, and compressed air energy storage (CAES); 2) Battery storage (dedicated units or demand-driven charging stations, e.g. for electric vehicles), and 3) Flexible demand  ...  Buildings in most industrialized countries account for 30-40% of the final energy demand, a very large part of which is thermal and stems from HVAC [7] .  ...  We further thank Alexander Murray from the Institute for Automation and Applied Informatics (IAI) for careful reading of the manuscript. Finally, we thank the reviewers for their helpful comments.  ... 
doi:10.1016/j.rser.2018.09.045 fatcat:oro3voejqrektdljwy3d27ffke

Multi-vector energy optimization tools for energy islands

Sanket Puranik, Heidi Tuiskula, Iliana Ilieva, Ferran Torrent, Joan Colomer, Joaquim Melendez
2019 2019 IEEE Milan PowerTech  
Another novelty of technical tool lies in making scheduling decisions on long-term and short-term storage considering demand response as another flexibility resource.  ...  Special focus of the paper is on developing a method for optimal planning and operation of multi-vector grid. considering trade-off between robustness and optimality.  ...  E-LAND considers short-term energy storage systems such as batteries, electric vehicle, water tanks and reefer containers (for thermal storage).  ... 
doi:10.1109/ptc.2019.8810932 fatcat:luhv4gmtvjfmrjdtiwitqpwt24

2020 Index IEEE Transactions on Smart Grid Vol. 11

2020 IEEE Transactions on Smart Grid  
. , TSG Sept. 2020 4390-4402 Hosseinipour, A., and Hojabri, H., Small-Signal Stability Analysis and Active Damping Control of DC Microgrids Integrated With Distributed Electric Springs; 3737-3747 Hou  ...  Kosen, I., TSG Jan. 2020 739-748 Huang, C., Wang, C., Xie, N., and Wang, Y., Robust Coordination Expansion Planning for Active Distribution Network in Deregulated Retail Power Market; 1476-1488 Wang  ...  ., +, TSG Jan. 2020 281-290 Robust Coordination of a Hybrid AC/DC Multi-Energy Ship Microgrid With Flexible Voyage and Thermal Loads.  ... 
doi:10.1109/tsg.2020.3044227 fatcat:qp5iogfnrnambc3qzuwvj4aega

2020 Index IEEE Transactions on Sustainable Energy Vol. 11

2020 IEEE Transactions on Sustainable Energy  
., +, TSTE April 2020 608-617 Supply and demand Capacity Planning of Energy Hub in Multi-Carrier Energy Networks: A Data-Driven Robust Stochastic Programming Approach.  ...  Energy Storage and Demand Response.  ... 
doi:10.1109/tste.2020.3029733 fatcat:6eucku5sfrg47gv32e5wqaimm4

A Technical Review of Modeling Techniques for Urban Solar Mobility: Solar to Buildings, Vehicles, and Storage (S2BVS)

Pei Huang, Xingxing Zhang, Benedetta Copertaro, Puneet Kumar Saini, Da Yan, Yi Wu, Xiangjie Chen
2020 Sustainability  
), using solar energy in a different location) and context are becoming less compatible and limited for future scenarios.  ...  With the increasing deployment of energy storage, the development of the energy sharing concept and the associated advanced controls, the conventional solar mobility model (i.e., solar-to-vehicles (S2V  ...  Their developed controller combines the inverse dynamics of the building, servicing systems, and energy storage with a robust control method.  ... 
doi:10.3390/su12177035 fatcat:3eip6oh6trd6rgicl3ztndcqou

Operating and Investment Models for Energy Storage Systems

Marija Miletić, Hrvoje Pandžić, Dechang Yang
2020 Energies  
However, besides providing flexibility to intermittent RES, ESS have other sources of revenue, such as price arbitrage in the markets, balancing services, and reducing the cost of electricity procurement  ...  In order to operate the ESS in the most profitable way, it is often necessary to make optimal siting and sizing decisions, and to determine optimal ways for the ESS to participate in a variety of energy  ...  energy shortage, designing demand response programs in which the demand is managed to meet the production and using energy storage systems (ESS) to store the surplus and supply the shortage of electricity  ... 
doi:10.3390/en13184600 fatcat:xdg6pwmgcnbe5nf2gm37fh3jsm

Strategies for Controlling Microgrid Networks with Energy Storage Systems: A Review

Mudhafar Al-Saadi, Maher Al-Greer, Michael Short
2021 Energies  
Specific focus on control strategies based upon multiagent communication and reinforcement learning is a main objective of this paper, reflecting recent advancements in digitalization and AI.  ...  The paper concludes with a summary of emerging areas and presents a summary of promising future directions.  ...  Electricity price has not been considered. [72] AC More flexible and faster than stochastic.  ... 
doi:10.3390/en14217234 fatcat:anflqasqkrfnnivu42vhiodbei

Process systems opportunities in power generation, storage and distribution

Masoud Soroush, Donald J. Chmielewski
2013 Computers and Chemical Engineering  
This paper presents an overview of the current process systems opportunities in power generation, storage and distribution.  ...  Fuel cells, solar cells, wind turbines, flow batteries and rechargeable batteries as well as their interactions with the smart grid are considered.  ...  Chmielewski would like to acknowledge the National Science Foundation for financial support (CBET-0967906) as well as Professor Gabriela Hug for guidance in transmission system modeling.  ... 
doi:10.1016/j.compchemeng.2012.06.027 fatcat:3kucbcoysbfuzjuhsmash53pgi

2021 Index IEEE Transactions on Smart Grid Vol. 12

2021 IEEE Transactions on Smart Grid  
-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TSG Jan. 2021 704-714 A Three-Layer Stochastic Energy Management Approach for Electric Bus Transit Centers With PV and Energy Storage Systems.  ... 
doi:10.1109/tsg.2021.3137570 fatcat:xjssgbcfnrcvzf4qqqwifu6e3u

Residential Demand Response Algorithms: State-of-the-Art, Key Issues and Challenges [chapter]

Rajasekhar Batchu, Naran M. Pindoriya
2015 Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering  
In this paper, first a quick overview about residential demand response and its optimization model at single home and multi-home level is presented.  ...  local renewable energy generation in conjunction with battery storage devices.  ...  methods for multi-home level demand response management needs to be looked at. • Penetration of Plugin-electric vehicles and distributed energy resources brings an increased flexibility in load shaping  ... 
doi:10.1007/978-3-319-25479-1_2 fatcat:qddbrq3z7va23i6cwz6hszl4tm
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