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Journal of Modern Power Systems and Clean Energy 2022年第5期10卷 1326-1336页

作者： Jian Xu Haobo Fu Siyang Liao Boyu Xie Deping Ke Yuanzhang Sun Xiong Li Xiaotao Peng IEEE School of Electrical Engineering and Automation Wuhan UniversityWuhan 430072China Power Dispatching and Control Center of State Grid Jibei Electric Power Company Limited Bejing 100054China

With the rapid increase of distributed photovoltaic(PV) power integrating into the distribution network(DN), the critical issues such as PV power curtailment and low equipment utilization rate have been caused by PV power fluctuations. DN has less controllable equipment to manage the PV power fluctuation. To smooth the power fluctuations and further improve the utilization of PV, the regulation ability from the demandside needs to be excavated. This study presents a continuous control method of the feeder load power in a DN based on the voltage regulation to respond to the rapid fluctuation of the PV power output. PV power fluctuations will be directly reflected in the point of common coupling(PCC), and the power fluctuation rate of PCCs is an important standard of PV ***, a demand-side management strategy based on model predictive control(MPC) to mitigate the PCC power fluctuation is proposed. In pre-scheduling, the intraday optimization model is established to solve the reference power of PCC. In real-time control, the pre-scheduling results and MPC are used for the rolling optimization to control the feeder load demand. Finally,the data from the field measurements in Guangzhou, China are used to verify the effectiveness of the proposed strategy in smoothing fluctuations of the distributed PV power.

关键词： demand-side management multi-time-scale optimization power fluctuation smoothing load control model predictive control(MPC)

demand-side management and control for a class of smart grids based on game theory 36

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Demand-side management and control for a class of smart grid...

Impacts of multiple demand-side management strategies on microgrids planning:a literature survey

第36届中国控制会议

作者： Zhizhong Tu Xiaohua Xia Bing Zhu Department of Electrical Electronic and Computer EngineeringUniversity of Pretoria The Seventh Research Division Beihang University

ISBN: (纸本)9781538629185

With the help of evolutionary game theory,demand-side management（DSM） problem of a new class of networked smart grids is presented and solved in this *** communities selected as controllers are cooperative with grid providers,while others pursue their individual benefits in the considered smart *** Imitation and Blind Imitation rules are introduced as strategy updating rules（SURs） of the uncooperative *** electricity price of each grid varies with the number of grid *** on semi-tensor product（STP） technique,the problem can be converted into control networked evolutionary game（CNEG）.The objective in this paper is to select some communities as controllers and then design appropriate control sequences for them such that the minimal common benefit can be obtained and maintained.A nonlinear binary optimization is formulated to minimize total cost in the transient process of considered game.

关键词： demand-side management Smart grid Semi-tensor product Control networked evolutionary game

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Clean Energy 2024年第1期8卷 36-54页

作者： Rasha Elazab Ahmed T.Abdelnaby A.A.Ali Electrical Power and Machines Department Faculty of Engineering at Helwan UniversityCairoEgypt

demand-side management(DSM)schemes play a crucial role in managing renewable energy generation and load fluctuations by uti-lizing demand-response programmes(DRPs).This paper aims to provide a detailed overview of DRPs that help microgrid operators to keep costs and reliability within acceptable ***,this review paper provides a detailed economic load model for DRPs based on initial load,demand-response(DR)incentive,DR penalty and elasticity *** article also aims to guide researchers in identifying research gaps in DSM applications in microgrids by comparing various DSM schemes from different countries and regions in terms of DSM strategies,objective functions and optimization ***,this study analyses the impact of DRPs on microgrid configuration from the perspective of utilities and customers,considering technical and economic performance *** a result,it can be concluded that none of the studied cases provides models or guidelines for choosing appropriate DSM schemes that consider different consumer interests or load-type ***,a few researchers have addressed the features of a modern price-based DR strategy,renewable generation-based dynamic pricing DR,which offers higher customer satisfaction than traditional DRPs.

关键词： demand-side management optimal sizing demand-response strategies renewable generation-based dynamic pricing

Coordinating Supply-side Reform and demand-side management

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Frontiers of Economics in China-Selected Publications from Chinese Universities 2023年第3期18卷 309-323页

作者： FANG Fuqian School of Economics Renmin University of ChinaBeijing 100872China

In essence,understanding the relationship between supply-side structural reform and demand-side management requires grasping the interplay between supply and *** and demand are interdependent and interactive,and their equilibrium determines the equilibrium valuesof microand macroeconomic *** solely on either supply or demand,regardless of the time length,is *** promote supply-side structural reform,China should depend on demand and take a measured approach to its *** the absence of demand,the supply-side structural reform would lose its direction and *** demand-side management involves delving deeper into supply-side structural reform because the scale and growth of demand,alongside changes in demand structure,are fundamentally influenced by institutional ***,further reforming the systems and mechanisms that hinder the optimization of demand structure and the growth of demand is precisely what supplyside structural reform should entail.

关键词： supply-sidestructural reform demand-side management interdependence institutional reform development

Investigating the use cases of a novel heat battery in Dutch residential buildings

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Building Simulation 2023年第9期16卷 1675-1689页

作者： Shuwei Wang Pieter-Jan Hoes Jan L.M.Hensen Olaf C.G.Adan Pim A.J.Donkers Department of the Built Environment Eindhoven University of TechnologyEindhovenP.O.Box 5135600 MB Eindhoventhe Netherlands Department of Applied Physics Eindhoven University of TechnologyEindhovenP.O.Box 5135600 MB Eindhoventhe Netherlands TNO Materials Solutions P.O.Box 62355600 HE Eindhoventhe Netherlands Cellcius BV Horsten 15612 AXEindhoventhe Netherlands

Recent advances in thermochemical storage technology have introduced a novel closed-loop thermal energy storage(TES)system,known as the heat battery(HB),which is believed to have great potential for aiding the energy transition in the built environment because of its higher energy density and neglectable storage loss compared to conventional TES *** order to investigate the potential use cases of the HB and provide practical feedback for its further development,this research employs a simulation-based approach to analyze its influence on building performance in various use cases within Dutch residential *** including the homeowner,distribution system operator,and district heating system operator are identified,and a preliminary list of use cases is defined based on relevant literature and input from the HB *** simulation approach is conducted to predict key performance indicators for each *** Kruskal-Wallis test was employed to sort and scrutinize the simulation outcomes and discern the significance of each use case *** findings demonstrated that the HB holds the potential to diminish both the operational energy cost by up to 30%for the homeowners and the peak heating load transmitted from the building to the district heating system.

关键词： thermochemical storage building performance simulation use case solar energy demand-side management

Probabilistic total transfer capability analysis based on static voltage stability region integrated with a modified distributed-level nodal-loading model

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Science China(Technological Sciences) 2015年第12期58卷 2072-2084页

作者： WANG Dan ZHOU Yue JIA HongJie WANG ChengShan LU Ning FAN MengHua Key Laboratory of Smart Grid of Ministry of Education Tianjin University Department of Electrical and Computer Engineering North Carolina State University State Grid Energy Research Institute

In this paper, a new evaluation method of probabilistic TTC based on SVSR calculation is developed through a hierarchical simulation. A smooth technology based on the non-parametric kernel estimator is adapted to obtain the time-dependent probabilistic density function of the feeder-head load data. In order to describe possible operating change directions of the operating point, the original hyper-cone-like(HCL) model is constructed to consider the probabilistic distribution function(PDF) extracted from feeder-head load data to replace the simple Normal Distribution model and the uncertain generator outputs. To realize the fast TTC calculation of the current operating point in random conditions, a sub-hyper-cone-like(SHCL) model in full power injections space is proposed, which is a similarity transformation of the original one.

关键词： voltage stability enhancement demand response demand-side management indirect load control heat pump regulation service

A Novel Combined Trombe Wall System for Village Houses in Cold Regions of China

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Journal of Thermal Science 2021年第6期30卷 2254-2266页

作者： HEI Shanggang ZHANG Hong PAN Wenjia School of Architecture Southeast UniversityNanjing 210096China

Trombe walls have significant energy-saving features and are therefore of great interest to ***,additional research about the Trombe wall is needed to reduce indoor temperature fluctuations and to improve thermal behavior under different climatic conditions.A new Trombe wall system was proposed which uses Venetian blinds and a *** field tests were conducted to compare the thermal performance of four types of rooms:(ⅰ)no Trombe wall(control),(ⅱ)classical Trombe wall(TW),(ⅲ)Trombe wall with Venetian blinds(TW+VB),and(ⅳ)Trombe wall with Venetian blinds and a basement(TW+VB+B).The field measurements were conducted during the winter near Shihezi City in northwest *** objective of this study was(ⅰ)to evaluate the thermal performance of a novel Trombe wall system under different operation conditions,and(ⅱ)to confirm the optimal angle of Venetian blinds during the heating *** results demonstrated that the TW+VB+B system effectively reduced indoor temperature fluctuations after ***,during the daytime,the average air temperatures in the test rooms were 13.6℃higher in the TW+VB+B system than in the *** average temperature at the air outlet in the TW+VB+B system was 4.9℃higher than that in the TW+VB system during the daytime,and the average predicted mean vote(PMV)of the test room was 1.02 units greater in the TW+VB+B system than in the *** thermal efficiency remains in the range of 40%-65%when the Venetian blind angle was set at 45°.In conclusion,the experiment results showed that the TW+VB+B system can not only reduce indoor temperature fluctuations but also improve thermal performance in *** the heating energy consumption in buildings and pollutants emission in the environment were lessened through the application of this passive solar energy-saving ***,this can provide valuable insights for improving the thermal performance of the novel Trombe Wall system in such village houses.

关键词： trombe wall thermal performance predicted mean vote passive solar technology demand-side management

Design optimization of a grid-tied microgrid for a residential community in southern Bangladesh

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Clean Energy 2023年第6期7卷 1300-1315页

作者： Sayeed Hasan MdRifat Hazari Effat Jahan Mohammad Abdul Mannan Department of Electrical and Electronic Engineering American International University-Bangladesh(AIUB)408/1KuratoliKhilkhetDhaka 1229Bangladesh Center for Sustainable Energy Research(CSER) Dr.Anwarul Abedin Institute of InnovationAmerican International University-Bangladesh(AIUB)408/1KuratoliKhilkhetDhaka 1229Bangladesh

Growing energy demand,diminishing fossil fuel reserves and geopolitical tensions are serious concerns for any country’s energy strategy and *** factors have a greater impact on developing countries,as many of them rely largely on traditional energy *** energy generation is the viable alternative for mitigating these problems,as well as achieving energy independ-ence and tackling climate *** article discusses planning and design optimization of a residential community microgrid based on multiple renewable *** particular,the design and techno-economic assessment of a grid-tied hybrid microgrid for meeting the electricity demand of an alluvial region,Urir Char,located in southern Bangladesh,was *** Optimization of Multiple Energy Resources is used for the evaluation and it is supplemented by a fuzzy-logic-based load profile design *** addition to the analysis,a predictive load-shifting-based demand management is also *** cases were considered for the studies and,after considering several criteria,a grid-tied system comprising a photovoltaic array,wind turbine and energy storage system was found to be the best fit for powering the *** suggested system reduces the life-cycle cost by 18.3%,the levelized cost of energy by 61.9%and emissions by 77.2%when compared with the grid-only *** with the microgrid design,cooking emissions and energy categorization were also discussed.

关键词： demand-side management fuzzy logic load profile generator net-zero energy residential microgrid techno-economic analysis

Constrained coordinated distributed control of smart grid with asynchronous information exchange

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Journal of Modern Power Systems and Clean Energy 2015年第4期3卷 512-525页

作者： Benjamin MILLAR Danchi JIANG Md.Enamul HAQUE School of Engineering&ICT University of TasmaniaHobartAustralia School of Engineering Deakin UniversityMelbourneAustralia

Smart grid constrained optimal control is a complex issue due to the constant growth of grid complexity and the large volume of data available as input to smart device *** this context,traditional centralized control paradigms may suffer in terms of the timeliness of optimization results due to the volume of data to be processed and the delayed asynchronous nature of the data *** address these limits of centralized control,this paper presents a coordinated,distributed algorithm based on distributed,local controllers and a central coordinator for exchanging summarized global state *** proposed model for exchanging global state information is resistant to fluctuations caused by the inherent interdependence between local controllers,and is robust to delays in information *** addition,the algorithm features iterative refinement of local state estimations that is able to improve local controller ability to operate within network *** of the proposed coordinated,distributed algorithm through simulation shows its effectiveness in optimizing a global goal within a complex distribution system operating under constraints,while ensuring network operation stability under varying levels of information exchange delay,and with a range of network sizes.

关键词： Smart grid Distributed optimization demand-side management Distributed generation Distributed storage Approximate dynamic programming

Optimization of a photovoltaic-battery system using deep reinforcement learning and load forecasting

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Energy and AI 2024年第2期16卷 168-183页

作者： António Corte Real G.Pontes Luz J.M.C.Sousa M.C.Brito S.M.Vieira IDMEC Instituto Superior TécnicoUniversidade de LisboaLisboa1049-001Portugal Instituto Dom Luiz Faculdade de CiênciasUniversidade de LisboaCampo Grande1749-016LisboaPortugal

Home Energy management Systems(HEMS)are increasingly relevant for demand-side management at the residential level by collecting data(energy,weather,electricity prices)and controlling home appliances or storage *** control can be performed with classical models that find optimal solutions,with high real-time computational cost,or data-driven approaches,like Reinforcement Learning,that find good and flexible solutions,but depend on the availability of load and generation data and demand high computational resources for *** this work,a novel HEMS is proposed for the optimization of an electric battery operation in a real,online and data-driven environment that integrates state-of-the-art load forecasting combining CNN and LSTM neural networks to increase the robustness of *** Reinforcement Learning agents are trained with different algorithms(Double DQN,Dueling DQN,Rainbow and Proximal Policy Optimization)in order to minimize the cost of electricity purchase and to maximize photovoltaic self-consumption for a PV-Battery residential *** show that the best Reinforcement Learning agent achieves a 35%reduction in total cost when compared with an optimization-based agent.

关键词： Energy management system Deep reinforcement learning demand-side management Load forecasting Deep learning Energy storage systems