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Applications of thermostatically controlled loads for demand response with the proliferation of variable

Meng SONG, Wei SUN

Frontiers in Energy 2022, Volume 16, Issue 1,   Pages 64-73 doi: 10.1007/s11708-021-0732-5

Abstract: flexibility is desirable with the proliferation of variable renewable resources for balancing supply and demandloads (TCLs) attract tremendous attentions because of their specific thermal inertia capability in demandresponse (DR) programs.Specifically, intermediate coordinators get the access to fundamental models and response modes of TCLsprograms based on the current research have been reviewed and compared, including fundamental models, response

Keywords： thermostatically controlled load     demand response     renewable energy     power system operation    

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Smart residential energy management system for demand response in buildings with energy storage devices

S. L. ARUN, M. P. SELVAN

Frontiers in Energy 2019, Volume 13, Issue 4,   Pages 715-730 doi: 10.1007/s11708-018-0538-2

Abstract: Demand side management (DSM) is one of such smart grid technologies which motivate end users to activelyConsumers are expected to respond (demand response (DR)) in various ways to attain these benefits.discharging) and the amount of power exchange from the battery while considering the variations in consumer demand

Keywords： smart grid     demand side management (DSM)     demand response (DR)     smart building     smart appliances     energy storage    

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Demand response based congestion management in a mix of pool and bilateral electricity market model

Ashwani KUMAR, Charan SEKHAR

Frontiers in Energy 2012, Volume 6, Issue 2,   Pages 164-178 doi: 10.1007/s11708-012-0187-9

Abstract: The nodal prices increases during the congestion hours and the demand response to nodal prices will beIn this paper, demand response-based CM has been proposed for a mix of pool and bilateral electricityThe linear bid curves have been considered for demand bids to respond to the congestion in the networkThe bilateral demand has been obtained with minimum deviations in their preferred schedule.Multi-line congestion cases have been considered to study the impact on demand response without and with

Keywords： bid function     congestion management (CM)     demand response     pool+bilateral electricity market     static var    

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Attuned design of demand response program and M-FACTS for relieving congestion in a restructured market

Y. HASHEMI,H. SHAYEGHI,B. HASHEMI

Frontiers in Energy 2015, Volume 9, Issue 3,   Pages 282-296 doi: 10.1007/s11708-015-0366-6

Abstract: attuned use of multi-converter flexible alternative current transmission systems (M-FACTS) devices and demandresponse (DR) to perform congestion management (CM) in the deregulated environment.

Keywords： multi-converter flexible alternative current transmission systems (M-FACTS)     demand response     fuzzy decision    

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EV Response Capability Assessment Considering User Travel Demand and Cyber System Reliability Article

Yanli Liu, Ke Liu, Xu Sun

Engineering 2022, Volume 15, Issue 8,   Pages 186-196 doi: 10.1016/j.eng.2021.08.031

Abstract:

With the increasing penetration rate of electric vehicles (EVs), EV demand response holds great significanceThis paper proposes an EV response capability assessment method that considers EV users' travelThe degree of relaxation in the EV charging demand is proposed to reflect the user's travel demand, based on which the EV response capability can be assessed.The impact of cyber reliability on the EV trip and response capability is analyzed.

Keywords： Cyber system     Demand response     Electric vehicle    

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Transactive Demand Response Operation at the Grid Edge using the IEEE 2030.5 Standard Article

Javad Fattahi, Mikhak Samadi, Melike Erol-Kantarci, Henry Schriemer

Engineering 2020, Volume 6, Issue 7,   Pages 801-811 doi: 10.1016/j.eng.2020.06.005

Abstract:

This paper presents a transactive demand response (TDR) scheme for a network of residential customersThe demand response (DR) scheme is designed to accommodate privacy concerns, allows customers to selectCustomer response is handled by a multi-input multi-output (MIMO) fuzzy controller that manages negotiation

Keywords： Transactive demand response     IEEE 2030.5     Smart grid     Multi-agent system     Neighborhood coordination    

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Agent-Based Simulation for Interconnection-Scale Renewable Integration and Demand Response Studies Artical

David P. Chassin,Sahand Behboodi,Curran Crawford,Ned Djilali

Engineering 2015, Volume 1, Issue 4,   Pages 422-435 doi: 10.15302/J-ENG-2015109

Abstract:

This paper collects and synthesizes the technical requirements, implementation, and validation methods for quasi-steady agent-based simulations of interconnection-scale models with particular attention to the integration of renewable generation and controllable loads. Approaches for modeling aggregated controllable loads are presented and placed in the same control and economic modeling framework as generation resources for interconnection planning studies. Model performance is examined with system parameters that are typical for an interconnection approximately the size of the Western Electricity Coordinating Council (WECC) and a control area about 1/100 the size of the system. These results are used to demonstrate and validate the methods presented.

Keywords： interconnection studies     demand response     load control     renewable integration     agent-based simulation     electricity    

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Comprehensive review of modeling, structure, and integration techniques of smart buildings in the cyber-physical-social system

Frontiers in Energy 2022, Volume 16, Issue 1,   Pages 74-94 doi: 10.1007/s11708-021-0792-6

Abstract: Smart buildings have been proven to be a kind of flexible demand response resources in the power systemTo maximize the utilization of the demand response resources, such as the heating, ventilating and air-conditioning

Keywords： smart buildings     cyber-physical-social-system     optimization     modeling     demand response     virtual power    

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A rank-based multiple-choice secretary algorithm for minimising microgrid operating cost under uncertainties

Frontiers in Energy 2023, Volume 17, Issue 2,   Pages 198-210 doi: 10.1007/s11708-023-0874-8

Abstract: The increasing use of distributed energy resources changes the way to manage the electricity system. Unlike the traditional centralized powered utility, many homes and businesses with local electricity generators have established their own microgrids, which increases the use of renewable energy while introducing a new challenge to the management of the microgrid system from the mismatch and unknown of renewable energy generations, load demands, and dynamic electricity prices. To address this challenge, a rank-based multiple-choice secretary algorithm (RMSA) was proposed for microgrid management, to reduce the microgrid operating cost. Rather than relying on the complete information of future dynamic variables or accurate predictive approaches, a lightweight solution was used to make real-time decisions under uncertainties. The RMSA enables a microgrid to reduce the operating cost by determining the best electricity purchase timing for each task under dynamic pricing. Extensive experiments were conducted on real-world data sets to prove the efficacy of our solution in complex and divergent real-world scenarios.

Keywords： energy management systems     demand response     scheduling under uncertainty     renewable energy sources     multiple-choice    

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Sliding window games for cooperative building temperature control using a distributed learning method

Zhaohui ZHANG, Ruilong DENG, Tao YUAN, S. Joe QIN

Frontiers of Engineering Management 2017, Volume 4, Issue 3,   Pages 304-314 doi: 10.15302/J-FEM-2017045

Abstract: In practice, an energy consumer often consists of a set of residential or commercial buildings, with individual units that are expected to cooperate to achieve overall optimization under modern electricity operations, such as time-of-use price. Global utility is decomposed to the payoff of each player, and each game is played over a prediction horizon through the design of a series of sliding window games by treating each building as a player. During the games, a distributed learning algorithm based on game theory is proposed such that each building learns to play a part of the global optimum through state transition. The proposed scheme is applied to a case study of three buildings to demonstrate its effectiveness.

Keywords： game theory     demand response     HVAC control     multi-building system    

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Probabilistic seismic response and uncertainty analysis of continuous bridges under near-fault ground

Hai-Bin MA, Wei-Dong ZHUO, Davide LAVORATO, Camillo NUTI, Gabriele FIORENTINO, Giuseppe Carlo MARANO, Rita GRECO, Bruno BRISEGHELLA

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 6,   Pages 1510-1519 doi: 10.1007/s11709-019-0577-8

Abstract: The relationships between different Intensity Measure (IM) parameters and the Engineering Demand ParameterIM parameter and the drift ratio of the bridge column as the EDP parameter, a probabilistic seismic demandThe results show that PGA is a proper IM parameter for setting up a linear probabilistic seismic demand

Keywords： continuous bridge     probabilistic seismic demand model     Intensity Measure     near-fault     uncertainty    

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Understanding the demand predictability of bike share systems: A station-level analysis

Frontiers of Engineering Management   Pages 551-565 doi: 10.1007/s42524-023-0279-8

Abstract: Predicting demand for bike share systems (BSSs) is critical for both the management of an existing BSSWhile researchers have mainly focused on improving prediction accuracy and analysing demand-influencingUsing Divvy bike-share one-year data from Chicago, USA, we measured demand entropy and quantified thesome stations exhibit high uncertainty (a low entropy of 0.65) and others have almost no check-out demandFindings from this study provide more fundamental understanding of BSS demand prediction, which can help

Keywords： bike share systems     demand prediction     prediction errors     machine learning     entropy    

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Optimal locations of monitoring stations in water distribution systems under multiple demand patterns: a flaw of demand coverage method and modification

Shuming LIU, Wenjun LIU, Jinduan CHEN, Qi WANG

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 2,   Pages 204-212 doi: 10.1007/s11783-011-0364-9

Abstract: A flaw of demand coverage method in solving optimal monitoring stations problem under multiple demandIn the demand coverage method, the demand coverage of each set of monitoring stations is calculated byaccumulating their demand coverage under each demand pattern, and the impact of temporal distributionbetween different time periods or demand patterns is ignored.To overcome this flaw, this paper presents a Demand Coverage Index (DCI) based method.

Keywords： demand coverage     monitoring     optimization     water distribution network     water quality    

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Electricity demand, GDP and employment: evidence from Italy

Cosimo MAGAZZINO

Frontiers in Energy 2014, Volume 8, Issue 1,   Pages 31-40 doi: 10.1007/s11708-014-0296-8

Abstract: This paper applies time series methodologies to examine the causal relationship among electricity demandMoreover, there is a bi-directional Granger causality flow between real per capita GDP and electricity demand; while labor force does not Granger-cause neither real per capita GDP nor electricity demand.This implies that electricity demand and economic growth are jointly determined at the same time for

Keywords： energy policies     electricity demand     GDP     labor force     stationarity     structural breaks     cointegration     causality    

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Scenario analysis of the energy demand and CO

Jihong ZHANG, Jian ZHOU, Guangping HU, Tianhou ZHANG

Frontiers in Energy 2010, Volume 4, Issue 4,   Pages 459-468 doi: 10.1007/s11708-010-0119-5

Abstract: An assessment of the energy demand and the potential for sector-based emission reductions will provideIn this paper, Beijing was selected as a special case for analysis in order to assess the energy demandResults show that in the high motorization-oriented pattern scenario, total energy demand is about 13.94%On the other hand, in the bus and rail transit-oriented scenario, total energy demand is about 11.57%

Keywords： scenario analysis     urban traffic pattern     energy demand     reduction potential    

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Title Author Date Type Operation

Applications of thermostatically controlled loads for demand response with the proliferation of variable

Meng SONG, Wei SUN

Journal Article

Smart residential energy management system for demand response in buildings with energy storage devices

S. L. ARUN, M. P. SELVAN

Journal Article

Demand response based congestion management in a mix of pool and bilateral electricity market model

Ashwani KUMAR, Charan SEKHAR

Journal Article

Attuned design of demand response program and M-FACTS for relieving congestion in a restructured market

Y. HASHEMI,H. SHAYEGHI,B. HASHEMI

Journal Article

EV Response Capability Assessment Considering User Travel Demand and Cyber System Reliability

Yanli Liu, Ke Liu, Xu Sun

Journal Article

Transactive Demand Response Operation at the Grid Edge using the IEEE 2030.5 Standard

Javad Fattahi, Mikhak Samadi, Melike Erol-Kantarci, Henry Schriemer

Journal Article

Agent-Based Simulation for Interconnection-Scale Renewable Integration and Demand Response Studies

David P. Chassin,Sahand Behboodi,Curran Crawford,Ned Djilali

Journal Article

Comprehensive review of modeling, structure, and integration techniques of smart buildings in the cyber-physical-social system

Journal Article

A rank-based multiple-choice secretary algorithm for minimising microgrid operating cost under uncertainties

Journal Article

Sliding window games for cooperative building temperature control using a distributed learning method

Zhaohui ZHANG, Ruilong DENG, Tao YUAN, S. Joe QIN

Journal Article

Probabilistic seismic response and uncertainty analysis of continuous bridges under near-fault ground

Hai-Bin MA, Wei-Dong ZHUO, Davide LAVORATO, Camillo NUTI, Gabriele FIORENTINO, Giuseppe Carlo MARANO, Rita GRECO, Bruno BRISEGHELLA

Journal Article

Understanding the demand predictability of bike share systems: A station-level analysis

Journal Article

Optimal locations of monitoring stations in water distribution systems under multiple demand patterns: a flaw of demand coverage method and modification

Shuming LIU, Wenjun LIU, Jinduan CHEN, Qi WANG

Journal Article

Electricity demand, GDP and employment: evidence from Italy

Cosimo MAGAZZINO

Journal Article

Scenario analysis of the energy demand and CO

Jihong ZHANG, Jian ZHOU, Guangping HU, Tianhou ZHANG

Journal Article