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Distributed energy management for interconnected operation of combined heat and power-based microgrids with demand response

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Journal of Modern Power Systems and Clean energy 2017年第3期5卷 478-488页

作者： Nian LIU Jie WANG Lingfeng WANG State Key Laboratory of Alternate Electrical Power System with Renewable energy Sources North China Electric Power UniversityBeijingChina Department of Electrical Engineering and Computer Science University of Wisconsin-MilwaukeeMilwaukeeWIUSA

From the perspective of transactive energy, the energy trading among interconnected microgrids(MGs) is promising to improve the economy and reliability of system operations. In this paper, a distributed energy management method for interconnected operations of combined heat and power(CHP)-based MGs with demand response(DR) is proposed. First, the system model of operational cost including CHP, DR, renewable distributed sources, and diesel generation is introduced, where the DR is modeled as a virtual generation unit. Second, the optimal scheduling model is decentralized as several distributed scheduling models in accordance with the number of associated MGs. Moreover, a distributed iterative algorithm based on subgradient with dynamic search direction is proposed. During the iterative process, the information exchange between neighboring MGs is limited to Lagrange multipliers and expected purchasing energy. Finally,numerical results are given for an interconnected MGs system consisting of three MGs, and the effectiveness of the proposed method is verified.

关键词： Interconnected microgrids energy management Distributed optimization Demand response Combined heat and power(CHP)

Fuzzy Adaptive Filtering-Based energy management for Hybrid energy Storage System

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Computer Systems Science & Engineering 2021年第1期36卷 117-130页

作者： Xizheng Zhang Zhangyu Lu Chongzhuo Tan Zeyu Wang School of Electrical and Information Engineering Hunan Institute of EngineeringXiangtan411104China School of Robotics Hunan UniversityChangsha410082China

Regarding the problem of the short driving distance of pure electric vehicles,a battery,super-capacitor,and DC/DC converter are combined to form a hybrid energy storage system(HESS).A fuzzy adaptive filtering-based energy management strategy(FAFBEMS)is proposed to allocate the required power of the vehicle.Firstly,the state of charge(SOC)of the super-capacitor is limited according to the driving/braking mode of the vehicle to ensure that it is in a suitable working state,and fuzzy rules are designed to adaptively adjust the filtering time constant,to realize reasonable power allocation.Then,the positive and negative power are determined,and the average power of driving/braking is calculated so as to limit the power amplitude to protect the battery.To verify the proposed FAFBEMS strategy for HESS,simulations are performed under the UDDS(Urban Dynamometer Driving Schedule)driving cycle.The results show that the FAFBEMS strategy can effectively reduce the current amplitude of the battery,and the final SOC of the battery and super-capacitor is optimized to varying degrees.The energy consumption is 7.8%less than that of the rule-based energy management strategy,10.9%less than that of the fuzzy control energy management strategy,and 13.1%less than that of the filtering-based energy management strategy,which verifies the effectiveness of the FAFBEMS strategy.

关键词： Hybrid energy storage system energy management fuzzy adaptiveﬁltering electric vehicle

Initiative Optimization Operation Strategy and Multi-objective energy management Method for Combined Cooling Heating and Power

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IEEE/CAA Journal of Automatica Sinica 2016年第4期3卷 385-393页

作者： Feng Zhao Chenghui Zhang Bo Sun School of Control Science and Engineering Shandong University Shandong Computer Science Center (National Supercomputer Center in Jinan)

This paper proposed an initiative optimization operation strategy and multi-objective energy management method for combined cooling heating and power(CCHP) with storage systems.Initially,the initiative optimization operation strategy of CCHP system in the cooling season,the heating season and the transition season was formulated.The energy management of CCHP system was optimized by the multi-objective optimization model with maximum daily energy efficiency,minimum daily carbon emissions and minimum daily operation cost based on the proposed initiative optimization operation strategy.Furthermore,the pareto optimal solution set was solved by using the niche particle swarm multi-objective optimization algorithm.Ultimately,the most satisfactory energy management scheme was obtained by using the technique for order preference by similarity to ideal solution(TOPSIS) method.A case study of CCHP system used in a hospital in the north of China validated the effectiveness of this method.The results showed that the satisfactory energy management scheme of CCHP system was obtained based on this initiative optimization operation strategy and multi-objective energy management method.The CCHP system has achieved better energy efficiency,environmental protection and economic benefits.

关键词： Multi-objective optimization energy management initiative optimization distributed energy sources combined cooling heating and power(CCHP) operation strategy

Renewable energy based microgrid system sizing and energy management for green buildings

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Journal of Modern Power Systems and Clean energy 2015年第1期3卷 1-13页

作者： Y.V.PAVAN KUMAR Ravikumar BHIMASINGU Department of Electrical Engineering Indian Institute of Technology Hyderabad(IITH)HyderabadIndia

The objective of this paper is to model a hybrid power system for buildings,which is technically feasible and economically optimal.With a view to promote renewable energy sources,photovoltaics and wind turbines are integrated with the grid connected building.The system is modeled and the optimal system configuration is estimated with the help of hybrid optimization model for electric renewables(HOMER).The logic is illustrated with a case study based on the practical data of a building located in southern India.This building is associated with 3.4 MWh/day priority load(peak load as 422 kW),as well as 3.3 MWh/day deferrable load(peak load as 500 kW).Sensitivity analysis is performed to deal with uncertainties such as the increase in electricity consumption and grid tariff,environmental changes,etc.From the simulation result,it is observed that the designed system is cost effective and environment friendly,which leads to 6.18%annual cost savings and reduces CO_(2) emissions by 38.3%.Sensitivity results indicate that the system is optimal and adaptable in a certain range of unanticipated variances with respect to best estimated value.Finally,an energy management strategy is developed for the optimal system to ensure reliable power during contingency and disturbances.The green and hybrid power system designed can be adaptable to any critical and large consumers of urban buildings.

关键词： Renewable energy sources(RES) Hybrid power systems(HPS) Photovoltaic(PV) Wind turbine(WT) Low-carbon electricity energy management Total net present cost(TNPC)

Development Trends of Transmissions for Hybrid Electric Vehicles Using an Optimized energy management Strategy

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Automotive Innovation 2018年第4期1卷 291-299页

作者： Tianze Shi Fuquan Zhao Han Hao Zongwei Liu Tsinghua Automotive Strategy Research Institute Tsinghua UniversityBeijing 100084China State Key Laboratory of Automotive Safety and energy Tsinghua UniversityBeijing 100084China

energy conservation and emissions reduction have become increasingly significant for automobiles due to the severity of the current energy situation.Hybrid electric vehicle(HEV)technology is one of the most promising solutions.This study investigated the total efficiency of a HEV powertrain.To improve the total efficiency,the engine should be regulated to work at its highest efficiency and drive the wheels directly as much as possible.To accomplish this,we developed an energy management strategy based on the direct drive area(DDA)of the engine’s efficiency map.Several typical HEV models were built to compare the fuel consumption using DDA and rule-based strategies.Furthermore,the function of the HEV transmission system with DDA was considered.The transmission in a HEV should regulate the engine to work at its highest efficiency as much as possible,which is rather different than the regulation in an internal combustion engine vehicle.The functional change may lead to transmission systems with fewer gears but optimal gear ratios.If this trend is realized,the manufacturing cost of HEVs could be largely reduced.

关键词： HEV Direct drive area energy management Transmission cost reduction

Application Model of energy management and Emissions Control to Limit Environmental Risks of Fossil Fuel

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Open Journal of Applied Sciences 2022年第5期12卷 672-687页

作者： Eman M. Gabr Processes Development Egyptian Petroleum Research Institute EPRI Cairo Egypt

Around the world energy sustainability and environment protection face many challenges due to the continuously increasing population and energy demands, where the demanding rate of energy increases by at least 2.3% per year. According to statistical data, until 2035, fossil fuels still are the main source of energy consumption. Burning fossil fuels produces the greenhouse gas of carbon dioxide as a byproduct. CO2 emissions have a dangerous effect on both human health and the natural environmental balance. There are many types of clean energy like solar, biofuel, and wind energy. The major limitations of using these types, their availability depends on climate conditions and their production rate is inadequate for energy demand. For any country, energy resources’ availability and economic conditions imposed on projects’ prioritization. Application of energy management and emissions control techniques for industrial unit can limit fuel combustion environmental effects and transfer this fossil fuel to an eco-friendly type. In this work, we applied Green energy Model GEM to the Hydrotreater Unit of the refinery, GEM is composed of four techniques. Which are Heat Exchangers Networks Synthesis [HENS], Fuel Switching, Thermal Insulation application, and Carbon Captures Storage [CCS]. Where they reduce energy consumption by the rate of 3% - 34% and control CO2 emissions by the rate of 26% - 90%. This model is a radical way to face climate change challenges and practical solutions for both energy and environmental crises.

关键词： energy management Greenhouse Gases Heat Exchangers Networks Fuel Switching Thermal Insulation Carbon Capture

New Strategy of IPACS Design and energy management for Spacecrafts

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Journal of Beijing Institute of Technology 2006年第3期15卷 300-305页

作者：张景瑞 School of Mechatronic Engineering Beijing Institute of Technology Beijing 100081 China

The design problem of an integrated power and attitude control system （IPACS） for spacecrafts is investigated. A Lyapunov-typed IPACS controller is designed for a spacecraft equipped with 4 flywheels （3 orthogonal ＋ 1 skew）. This controller keeps in the nonlinear properties of original systems, so the control result can be more precise. A control law of the flywheels is also proposed to accomplish the attitude control and energy storage simultaneously. Aiming at the limitations existing in the power conversion characteristic and the wheel＇s motor, a new strategy of energy management is proposed. The strategy can not only make the charged/discharged energy reaching balance in each orbital period, but also sufficiently utilize the power provided by the solar arrays. Therefore, the size and mass of solar arrays can be decreased, and the cost of spacecraft can be economized. A simulation example illustrates the validity of the designed IPACS.

关键词： integrated power and attitude control system （IPACS） Lyapunov approach energy management control law of the flywheels

Research on factors influencing an individual’s behavior of energy management: a field study in China

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Journal of management Analytics 2017年第3期4卷 203-239页

作者： Yanfeng Fan w.p.carey business school arizona state universitytempeaz 85287usa

With the rapid rising of distributed appliance,smart home appliances and mobile Internet,smart home manufacturers in Europe and America have all developed energy management solutions for individual usage,while domestic manufacturers have also launched similar products.This technique helps people to manage their energy consumption more efficiently.This article focuses on the factors that affect energy management behavior(EMB)at the individual level.By reviewing academic literature,conducting surveys in Beijing,Shanghai and Guangzhou,the author built an integrated model of the energy management of Chinese people.This article is the first to separate EMB into two types of behaviors:the more innovative energy management intention(EMI)and the more traditional energy saving intention(ESI).The author conducts statistical analysis on these two behavioral concepts.An individual’s EMB is mainly driven by EMI.EMI is affected by behavioral attitudes,subjective norm and perceived behavioral control(PBC).Among these three key factors,PBC has the strongest influence.This implies that the promotion of the energy management concept is mainly driven by good user experience,which is based on products’features.The traditional ESI also demonstrates a positive influence on EMB,but its impact is weaker than those three factors of EMI.In other words,the government and manufacturers will not be able to promote individual EMB by only selling the concept of traditional energy saving.At the same time,the study finds that the government may achieve better advertising results by developing subsidy policy.

关键词： energy management energy consumption energy saving attitude theory of planned behavior diffusion of innovations

energy-aware application performance management in virtualized data centers

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Frontiers of Computer Science 2012年第4期6卷 373-387页

作者： Hui CHEN Ping LU Pengcheng XIONG Cheng-Zhong XU Zhiping WANG Shenzhen Institutes of Advanced Technology Chinese Academy of SciencesShenzhen 518055China ZTE Corporation Nanjing 210012China College of Computing Georgia Institute of TechnologyAtlantaGA 30332US Department of Electrical and Computer Engineering Wayne State UniversityDetroitM148202US

Both performance and energy cost are impor- tant concerns for current data center operators. Traditionally, however, IT and mechanical engineers have separately op- timized the cyber and physical aspects of data center operations. This paper considers both of these aspects with the eventual goal of developing performance and power management techniques that operate holistically to control the entire cyber-physical complex of data center installations. Toward this end, we propose a balance of payments model for holis- tic power and performance management. As an example of coordinated cyber-physical system management, the energy- aware cyber-physical system （EaCPS） uses an application controller on the cyber side to guarantee application perfor- mance, and on the physical side, it utilizes electric current- aware capacity management （CACM） to smartly place exe- cutables to reduce the energy consumption of each chassis present in a data center rack. A web application, representa- tive of a multi-tier web site, is used to evaluate the perfor- mance of the controller on the cyber side, the CACM control on the physical side, and the holistic EaCPS methods in a mid-size instrumented data center. Results indicate that coor- dinated EaCPS outperforms separate cyber and physical con- trol modules.

关键词： cyber physical system energy management re-source management virtualization data centers