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

Meng SONG, Wei SUN

《能源前沿（英文）》 2022年 第16卷 第1期   页码 64-73 doi: 10.1007/s11708-021-0732-5

摘要： More flexibility is desirable with the proliferation of variable renewable resources for balancing supply and demand in power systems. Thermostatically controlled loads (TCLs) attract tremendous attentions because of their specific thermal inertia capability in demand response (DR) programs. To effectively manage numerous and distributed TCLs, intermediate coordinators, e.g., aggregators, as a bridge between end users and dispatch operators are required to model and control TCLs for serving the grid. Specifically, intermediate coordinators get the access to fundamental models and response modes of TCLs, make control strategies, and distribute control signals to TCLs according the requirements of dispatch operators. On the other hand, intermediate coordinators also provide dispatch models that characterize the external characteristics of TCLs to dispatch operators for scheduling different resources. In this paper, the bottom-up key technologies of TCLs in DR programs based on the current research have been reviewed and compared, including fundamental models, response modes, control strategies, dispatch models and dispatch strategies of TCLs, as well as challenges and opportunities in future work.

关键词： 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

《能源前沿（英文）》 2019年 第13卷 第4期   页码 715-730 doi: 10.1007/s11708-018-0538-2

摘要： In the present scenario, the utilities are focusing on smart grid technologies to achieve reliable and profitable grid operation. Demand side management (DSM) is one of such smart grid technologies which motivate end users to actively participate in the electricity market by providing incentives. Consumers are expected to respond (demand response (DR)) in various ways to attain these benefits. Nowadays, residential consumers are interested in energy storage devices such as battery to reduce power consumption from the utility during peak intervals. In this paper, the use of a smart residential energy management system (SREMS) is demonstrated at the consumer premise to reduce the total electricity bill by optimally time scheduling the operation of household appliances. Further, the SREMS effectively utilizes the battery by scheduling the mode of operation of the battery (charging/floating/discharging) and the amount of power exchange from the battery while considering the variations in consumer demand and utility parameters such as electricity price and consumer consumption limit (CCL). The SREMS framework is implemented in Matlab and the case study results show significant yields for the end user.

关键词： 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

《能源前沿（英文）》 2012年 第6卷 第2期   页码 164-178 doi: 10.1007/s11708-012-0187-9

摘要： The independent system operator (ISO) is a key element in the deregulated structure with one of the responsibilities of transmission congestion management (CM). The ISO opts market based solutions to manage congestion receiving bids from generation companies (GENCOs) as well as distribution companies (DISCOMs) to reschedule their generation and relocate demand. The nodal prices increases during the congestion hours and the demand response to nodal prices will be an effective tool for the control of congestion. In this paper, demand response-based CM has been proposed for a mix of pool and bilateral electricity market model. The linear bid curves have been considered for demand bids to respond to the congestion in the network. The bilateral demand has been obtained with minimum deviations in their preferred schedule. The impact of flexible alternating current transmission system (FACTS) devices viz static var compensator (SVC) and thyristor controlled series compensator (TCSC) has also been considered for demand management during congestion. Multi-line congestion cases have been considered to study the impact on demand response without and with FACTS devices. The proposed approach has been tested on the IEEE 24 bus test system.

关键词： bid function     congestion management (CM)     demand response     pool+bilateral electricity market     static var compensator (SVC)     thyristor controlled series compensator (TCSC)    

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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

《能源前沿（英文）》 2015年 第9卷 第3期   页码 282-296 doi: 10.1007/s11708-015-0366-6

摘要： This paper addresses the attuned use of multi-converter flexible alternative current transmission systems (M-FACTS) devices and demand response (DR) to perform congestion management (CM) in the deregulated environment. The strong control capability of the M-FACTS offers a great potential in solving many of the problems facing electric utilities. Besides, DR is a novel procedure that can be an effective tool for reduction of congestion. A market clearing procedure is conducted based on maximizing social welfare (SW) and congestion as network constraint is paid by using concurrently the DR and M-FACTS. A multi-objective problem (MOP) based on the sum of the payments received by the generators for changing their output, the total payment received by DR participants to reduce their load and M-FACTS cost is systematized. For the solution of this problem a nonlinear time-varying evolution (NTVE) based multi-objective particle swarm optimization (MOPSO) style is formed. Fuzzy decision-making (FDM) and technique for order preference by similarity to ideal solution (TOPSIS) approaches are employed for finding the best compromise solution from the set of Pareto-solutions obtained through multi-objective particle swarm optimization-nonlinear time-varying evolution (MOPSO-NTVE). In a real power system, Azarbaijan regional power system of Iran, comparative analysis of the results obtained from the application of the DR & unified power flow controller (UPFC) and the DR & M-FACTS are presented.

关键词： multi-converter flexible alternative current transmission systems (M-FACTS)     demand response     fuzzy decision making     multi-objective particle swarm optimization-nonlinear time-varying evolution (MOPSO-NTVE)    

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考虑用户出行需求和信息系统可靠性的电动汽车响应能力评估 Article

刘艳丽, 刘珂, 孙旭

《工程（英文）》 2022年 第15卷 第8期   页码 186-196 doi: 10.1016/j.eng.2021.08.031

摘要：

随着电动汽车（EV）渗透率的提高，电动汽车的需求响应能力对促进电力系统的优化和安全运行具有重要意义。本文提出了一种电动汽车响应能力评估方法，该方法考虑了电动汽车用户的出行需求和集成在电网和交通网中的信息系统的可靠性。首次提出了新的信息-电力-交通耦合系统架构，并提出了信息系统可靠性模型。进一步，提出了考虑交通诱导信息生成和发布可靠性的电动汽车入网状态计算方法。最后，基于所提出的反映用户出行需求的电动汽车充电需求松弛度指标，实现了对电动汽车响应能力的评估。在由RBTS BUS6 和北京交通网络构建的信息-电力-交通系统上进行的大量测试验证了所提方法的有效性，分析了信息可靠性对电动汽车出行和响应能力的影响。

关键词： 信息系统     需求响应     电动汽车    

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使用IEEE 2030.5 标准在电网边缘进行可交易需求响应操作 Article

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

《工程（英文）》 2020年 第6卷 第7期   页码 801-811 doi: 10.1016/j.eng.2020.06.005

摘要：

本文提出一种针对拥有发电资产的住宅客户网络的可交易需求响应（TDR）方案，该方案强调了交易能源架构内的互操作性。完整的基于实验室的实施（据我们所知）首次实现了全面的TDR案例，该案例完全符合电气与电子工程师协会（IEEE）2030.5标准，解决了网络安全智能能源规范（SEP）应用协议的互操作性。通过使用基于Internet协议（IP） [局域网（LAN）和Wi-Fi]的通信协议和传输层安全性（TLS）1.2加密协议的商业硬件的完整系统集成来提供验证，而实证通过大量住宅智能电表数据仿真提供。需求响应（DR）方案旨在兼顾隐私问题，允许客户选择其DR响应水平，并提供激励措施以最大程度地提高其参与度。本文提出的TDR方案通过在交易代理（TA）和家庭能源管理系统（HEMS）代理之间实施SEP 2.0通信协议来解决隐私问题。客户响应由一个多入多出（MIMO）模糊控制器处理，该控制器管理客户代理和TA之间的协商。我们采用多代理系统方法实现邻域协调，通过TA在一个公共变压器上为多个客户提供服务，并在基于事件的优化过程中利用激励机制最大化客户的参与度。基于在较长时间内获取的一组智能电表数据，我们参与了多个TDR场景，并通过符合IEEE 2030.5标准的全功能实现证明了我们的方案可以在现实条件下将网络峰值功耗降低22%。

关键词： 可交易需求响应     IEEE 2030.5     智能电网     多代理系统     邻域协调    

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基于智能体的联网级可再生能源接入模拟及需求响应研究 Artical

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

《工程（英文）》 2015年 第1卷 第4期   页码 422-435 doi: 10.15302/J-ENG-2015109

摘要：

本文收集并综合了基于智能体的联网级模型准稳态模拟的技术要求、实施和验证方法，特别关注了可再生发电的接入和可控负荷方面的问题。介绍了已接入可控负荷的建模方法，并将其作为联网规划研究的发电资源置于同一控制与经济建模架构中。本文利用系统参数检验模型的性能，这些参数为联网所用的标准参数，其规模接近西部电力协调委员会(WECC) 规定的规模，控制区域约为系统的1/100。检验结果被用于说明和验证所述的方法。

关键词： 联网研究     需求响应     负荷控制     可再生能源接入     基于智能体的模拟     电力市场    

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

《能源前沿（英文）》 2022年 第16卷 第1期   页码 74-94 doi: 10.1007/s11708-021-0792-6

摘要： Smart buildings have been proven to be a kind of flexible demand response resources in the power system. To maximize the utilization of the demand response resources, such as the heating, ventilating and air-conditioning (HVAC), the energy storage systems (ESSs), the plug-in electric vehicles (PEVs), and the photovoltaic systems (PVs), their controlling, operation and information communication technologies have been widely studied. Involving human behaviors and cyber space, a traditional power system evolves into a cyber-physical-social system (CPSS). Lots of new operation frameworks, controlling methods and potential resources integration techniques will be introduced. Conversely, these new techniques urge the reforming requirement of the techniques on the modeling, structure, and integration techniques of smart buildings. In this paper, a brief comprehensive survey of the modeling, controlling, and operation of smart buildings is provided. Besides, a novel CPSS-based smart building operation structure is proposed, and the integration techniques for the group of smart buildings are discussed. Moreover, available business models for aggregating the smart buildings are discussed. Furthermore, the required advanced technologies for well-developed smart buildings are outlined.

关键词： smart buildings     cyber-physical-social-system     optimization     modeling     demand response     virtual power plant    

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

《能源前沿（英文）》 2023年 第17卷 第2期   页码 198-210 doi: 10.1007/s11708-023-0874-8

摘要： 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.

关键词： energy management systems     demand response     scheduling under uncertainty     renewable energy sources     multiple-choice secretary algorithm    

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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

《工程管理前沿（英文）》 2017年 第4卷 第3期   页码 304-314 doi: 10.15302/J-FEM-2017045

摘要： 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.

关键词： 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

《结构与土木工程前沿（英文）》 2019年 第13卷 第6期   页码 1510-1519 doi: 10.1007/s11709-019-0577-8

摘要： Performance-based seismic design can generate predictable structure damage result with given seismic hazard. However, there are multiple sources of uncertainties in the seismic design process that can affect desired performance predictability. This paper mainly focuses on the effects of near-fault pulse-like ground motions and the uncertainties in bridge modeling on the seismic demands of regular continuous highway bridges. By modeling a regular continuous bridge with OpenSees software, a series of nonlinear dynamic time-history analysis of the bridge at three different site conditions under near-fault pulse-like ground motions are carried out. The relationships between different Intensity Measure (IM) parameters and the Engineering Demand Parameter (EDP) are discussed. After selecting the peak ground acceleration as the most correlated IM parameter and the drift ratio of the bridge column as the EDP parameter, a probabilistic seismic demand model is developed for near-fault earthquake ground motions for 3 different site conditions. On this basis, the uncertainty analysis is conducted with the key sources of uncertainty during the finite element modeling. All the results are quantified by the “swing” base on the specific distribution range of each uncertainty parameter both in near-fault and far-fault cases. All the ground motions are selected from PEER database, while the bridge case study is a typical regular highway bridge designed in accordance with the Chinese Guidelines for Seismic Design of Highway Bridges. The results show that PGA is a proper IM parameter for setting up a linear probabilistic seismic demand model; damping ratio, pier diameter and concrete strength are the main uncertainty parameters during bridge modeling, which should be considered both in near-fault and far-fault ground motion cases.

关键词： 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

《工程管理前沿（英文）》   页码 551-565 doi: 10.1007/s42524-023-0279-8

摘要： Predicting demand for bike share systems (BSSs) is critical for both the management of an existing BSS and the planning for a new BSS. While researchers have mainly focused on improving prediction accuracy and analysing demand-influencing factors, there are few studies examining the inherent randomness of stations’ observed demands and to what degree the demands at individual stations are predictable. Using Divvy bike-share one-year data from Chicago, USA, we measured demand entropy and quantified the station-level predictability. Additionally, to verify that these predictability measures could represent the performance of prediction models, we implemented two commonly used demand prediction models to compare the empirical prediction accuracy with the calculated entropy and predictability. Furthermore, we explored how city- and system-specific temporally-constant features would impact entropy and predictability to inform estimating these measures when historical demand data are unavailable. Our results show that entropy of demands across stations is polarized as some stations exhibit high uncertainty (a low entropy of 0.65) and others have almost no check-out demand uncertainty (a high entropy of around 1.0). We also validated that the entropy and predictability are a priori model-free indicators for prediction error, given a sequence of bike usage demands. Lastly, we identified that key factors contributing to station-level entropy and predictability include per capita income, spatial eccentricity, and the number of parking lots near the station. Findings from this study provide more fundamental understanding of BSS demand prediction, which can help decision makers and system operators anticipate diverse station-level prediction errors from their prediction models both for existing stations and for new ones.

关键词： 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

《环境科学与工程前沿（英文）》 2012年 第6卷 第2期   页码 204-212 doi: 10.1007/s11783-011-0364-9

摘要： A flaw of demand coverage method in solving optimal monitoring stations problem under multiple demand patterns was identified in this paper. In the demand coverage method, the demand coverage of each set of monitoring stations is calculated by accumulating their demand coverage under each demand pattern, and the impact of temporal distribution between different time periods or demand patterns is ignored. This could lead to miscalculation of the optimal locations of the monitoring stations. To overcome this flaw, this paper presents a Demand Coverage Index (DCI) based method. The optimization considers extended period unsteady hydraulics due to the change of nodal demands with time. The method is cast in a genetic algorithm framework for integration with Environmental Protection Agency Net (EPANET) and is demonstrated through example applications. Results show that the set of optimal locations of monitoring stations obtained using the DCI method can represent the water quality of water distribution systems under multiple demand patterns better than the one obtained using previous methods.

关键词： demand coverage     monitoring     optimization     water distribution network     water quality    

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Electricity demand, GDP and employment: evidence from Italy

Cosimo MAGAZZINO

《能源前沿（英文）》 2014年 第8卷 第1期   页码 31-40 doi: 10.1007/s11708-014-0296-8

摘要： This paper applies time series methodologies to examine the causal relationship among electricity demand, real per capita GDP and total labor force for Italy from 1970 to 2009. After a brief introduction, a survey of the economic literature on this issue is reported, before discussing the data and introducing the econometric techniques used. The results of estimation indicate that one cointegrating relationship exists among these variables. This equilibrium relation implies that, in the long-run, GDP and labor force are correlated negatively, as well as GDP and electricity. Moreover, 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 the Italian case. The forecast error variance decomposition shows that forecast errors in real per capita GDP are mainly caused by the uncertainty in GDP itself, while forecast errors in labor force are mainly resulted from the labor force itself, although aggregate income and electricity are important, too.

关键词： energy policies     electricity demand     GDP     labor force     stationarity     structural breaks     cointegration     causality     Italy    

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Scenario analysis of the energy demand and CO

Jihong ZHANG, Jian ZHOU, Guangping HU, Tianhou ZHANG

《能源前沿（英文）》 2010年 第4卷 第4期   页码 459-468 doi: 10.1007/s11708-010-0119-5

摘要： An assessment of the energy demand and the potential for sector-based emission reductions will provide necessary background information for policy makers. In this paper, Beijing was selected as a special case for analysis in order to assess the energy demand and potential of CO abatement in the urban transport system of China. A mathematical model was developed to generate three scenarios for the urban transport system of Beijing from 2010 to 2030. The best pattern was identified by comparing the three different scenarios and assessing their urban traffic patterns through cost information. Results show that in the high motorization-oriented pattern scenario, total energy demand is about 13.94% higher, and the average CO abatement per year is 3.38 million tons less than in the reference scenario. On the other hand, in the bus and rail transit-oriented scenario, total energy demand is about 11.57% less, and the average CO abatement is 2.8 million tons more than in the reference scenario. Thus, Beijing cannot and should not follow the American pattern of high motorization-oriented transport system but learn from the experience of developed cities of Europe and East Asia.

关键词： scenario analysis     urban traffic pattern     energy demand     reduction potential    

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标题 作者 时间 类型 操作

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

Meng SONG, Wei SUN

期刊论文

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

S. L. ARUN, M. P. SELVAN

期刊论文

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

Ashwani KUMAR, Charan SEKHAR

期刊论文

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

Y. HASHEMI,H. SHAYEGHI,B. HASHEMI

期刊论文

考虑用户出行需求和信息系统可靠性的电动汽车响应能力评估

刘艳丽, 刘珂, 孙旭

期刊论文

使用IEEE 2030.5 标准在电网边缘进行可交易需求响应操作

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

期刊论文

基于智能体的联网级可再生能源接入模拟及需求响应研究

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

期刊论文

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

期刊论文

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

期刊论文

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

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

期刊论文

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

期刊论文

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

期刊论文

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

期刊论文

Electricity demand, GDP and employment: evidence from Italy

Cosimo MAGAZZINO

期刊论文

Scenario analysis of the energy demand and CO

Jihong ZHANG, Jian ZHOU, Guangping HU, Tianhou ZHANG

期刊论文