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Stochastic optimization for retailers with distributed wind generation considering demand response

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Journal of Modern Power Systems and Clean Energy 2018年第4期6卷 733-748页

作者： hessam GOLMOHAMADI Reza KEYPOUR Faculty of Electrical and Computer Engineering Semnan University

In this paper, a multi-stage stochastic model is presented for a renewable distributed generation(RDG)-owning retailer to determine the trading strategies existing in a competitive electricity market. Uncertainties associated with wholesale electricity market price, clients' consumption and power output of wind resources are considered through auto regressive integrated moving average(ARIMA) approach. In the proposed method, three trading floors are addressed for the retailer to hedge against the uncertainties. In the first stage, the retailer participates in day-ahead market to supply the clients and in the second stage, intraday market is addressed to allow the retailer to modify the schedule of its clients' consumption/RDG production. Due to unfavorable uncertainties, especially in renewable power production, real-time market is considered in the third stage to diminish the uncertainty at power delivery time. Cost function of wind resources considering capital, operation and maintenance(O&M) cost is incorporated in the objective function to increase the applicability of the mechanism. The proposed approach is formulated for risk-averse and risk-taker retailer through conditional value at risk(CVaR) approach. In order to study the impact of retail strategies on consumption patternand consumers' electricity bills, time-of-use(TOU)demand response programs are discussed in this *** the problem, the mixed integer non-linear programming(MILNP) problem is transformed into mixed integer linear programming(MILP) by jointly using decomposition and disjunctive constraints. Finally, a case study containing wind power resources, energy storage system and retailer is considered to analyze the proficiency of the proposed approach.

关键词： Renewable Retailer Stochastic Uncertainty Demand response

COMPARISON OF A SAMPLE OF GREEN HOSPITALS WITH NON-GREEN HOSPITALS WITH RESPECT TO OPERATING EXPENSES AND PATIENT REVENUE

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Journal of Green Building 2014年第3期9卷 163-188页

作者： hessam Sadatsafavai John Walewski Michael Taborn College of Human Ecology Department of Design and Environmental AnalysisCornell University Zachry Department of Civil Engineering Texas A&M University Industrial and Operations Engineering University of Michigan

Concerns regarding the environmental impacts of hospitals have made the healthcare sector one of the most prominent settings for the green building *** these environmental concerns,the number of studies that document the benefits of sustainable healthcare facilities is *** this study,the authors used the Medicare and Medicaid cost report data to compare the financial performance of 14 Leadership in Energy and Environmental Design(LEED)certified hospitals against the average performance of non-green *** line with studies conducted in other settings,the authors found that there are low and high performers among green *** this study,green hospitals had higher facility operating expenses than an average non-green hospital and spent more on plant *** green hospitals included in this study generated more revenue,the incomes were not high enough to validate the high operating expenses.

关键词： LEED-certified hospitals financial performance hospital cost report Center for Medicare and Medicaid Services

UML-based combat effectiveness simulation system modeling within MDE

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Journal of Systems Engineering and Electronics 2018年第6期29卷 1180-1196页

作者： ZHU Zhi LEI Yonglin SARJOUGHIAN hessam LI Xiaobo ZHU Yifan Department of Military Modeling and Simulation School of Systems Engineering National University of Defense Technology Arizona Center for Integrated Modeling and Simulation School of Computing Informatics and Decision Systems EngineeringArizona State University

To reduce complexity, the combat effectiveness simulation system(CESS) is often decomposed into static structure,physical behavior, and cognitive behavior, and model abstraction is layered onto domain invariant knowledge(DIK) and application variant knowledge(AVK) levels. This study concentrates on the specification of CESS’s physical behaviors at the DIK level of abstraction, and proposes a model driven framework for efficiently developing simulation models within model-driven engineering(MDE). Technically, this framework integrates the four-layer metamodeling architecture and a set of model transformation techniques with the objective of reducing model heterogeneity and enhancing model continuity. As a proof of concept, a torpedo example is illustrated to explain how physical models are developed following the proposed framework. Finally, a combat scenario is constructed to demonstrate the availability, and a further verification is shown by a reasonable agreement between simulation results and field observations.

关键词： domain specific modeling model-driven development system engineering effectiveness simulation

Building a hybrid DEVS and GRASS model using a composable cellular automaton

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International Journal of Modeling, Simulation, and Scientific Computing 2016年第1期7卷 62-92页

作者： Gary R.Mayer hessam S.Sarjoughian Department of Computer Science Southern Illinois University Edwardsville 61 Circle Drive EdwardsvilleIllinois 62026USA Arizona Center for Integrative Modeling&Simulation School of Computing Informaticsand Decision Systems Engineering Arizona State University699 South Mill Avenue TempeArizona 85281USA

Modeling and simulation is pervasive throughout many different *** computing technology has provided more capability,the systems being modeled and simulated have grown larger and more *** times,these large systems are managed as interacting *** it is necessary for the simulation to allow disparate subsystems to maintain their independence,then a hybrid model of the subsystems should be ***,to ease the burden of verification and validation of simulation results,a proven system theoretical modeling specification should be ***,many communities have already adopted nonsystem theoretical software solutions and established a group of domain experts familiar with these *** paper provides two things:a formal approach to building a hybrid model,and a discussion of how to incorporate a nonsystem theoretical software implementation into a proven *** first is done through the implementation of a Knowledge Interchange Broker(KIB)as an Interaction Model(IM).The second is accomplished by exemplifying the use of the IM in an agent-environment hybrid *** the hybrid model,the agent is implemented in the Discrete-event System(DEVS)specification and the environment is implemented in the Geographical Resources Analysis Support System(GRASS)using a Composable Cellular Automaton(CCA)*** concept has been successfully applied to both example models and an interdisciplinary research project where the interactions between human activities and landscape processes are studied.

关键词： Multi-formalism modeling hybrid simulation composability agent cellular automata

Risk-based maintenance scheduling of generating units in the deregulated environment considering transmission network congestion

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Journal of Modern Power Systems and Clean Energy 2014年第2期2卷 150-162页

作者： hessam GOLMOHAMADI Maryam RAMEZANI Amir BASHIAN Hamid FALAGHI Faculty of Electrical and Computer Engineering The University of BirjandBirjandIran Department of Power Electrical Engineering Ferdowsi University of MashhadMashhadIran

In restructured power systems,the traditional approaches of unit maintenance scheduling(UMS)need to undergo major changes in order to be compatible with new competitive *** the maintenance on generating units may decrease the security level of transmission network and result in electricity shortage in power system;as a result,it can impose a kind of cost on transmission network as called security ***,taking off line a generating unit for performing maintenance can change power flow in some transmission lines,and may lead to network *** this study,generating unit maintenance is scheduled considering security and congestion cost with N-1 examination for transmission lines random *** proposed UMS approach would lead to optimum operation of power system in terms of economy and *** achieve this goal,the optimal power flow(OPF)compatible with market mechanism is ***,the electricity price discovery mechanism as locational marginal pricing(LMP)is restated to analyze the impacts of UMS on nodal electricity *** security and congestion cost simultaneously,this novel approach can reveal some new costs which are imposed to transmission network on behalf of generation units;as a result,it provides a great opportunity to perform maintenance in a fair environment for both generating companies(GenCo)and transmission companies(TransCo).At the end,simulation results on nine-bus test power system demonstrate that by using this method,the proposed UMS can guarantee fairness among market participants including GenCos and TransCo and ensure power system security.

关键词： Congestion Security Transmission network Unit maintenance scheduling

PATIENT EXPERIENCE WITH HOSPITAL CARE-COMPARISON OF A SAMPLE OF GREEN HOS PITALS AND NON-GREEN HOSPITALS

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Journal of Green Building 2015年第1期10卷 169-185页

作者： hessam Sadatsafavi John Walewski Michael Taborn College of Human Ecology Department of Design and Environmental AnalysisCornell University Zachry Department of Civil Engineering Texas A&M University University of Michigan

Although the sustainability movement in the healthcare sector was initiated in response to ecological concerns,green hospitals are expected to outperform traditional hospitals on a variety of *** impacts of environmental quality on patients and caregivers are demonstrated in numerous ***,there is still a lack of evidence on the benefits of green hospitals with respect to different dimensions of patients’*** this study,data from the public Hospital Consumer Assessment of Health Plans Survey is used to compare the performance of green hospitals with the average performance of traditional *** study included 19 green hospitals and found that patients hospitalized in green facilities reported overall higher ratings than those in traditional hospitals when compared to the average performance of traditional hospitals of similar sizes and ***,patients in green hospitals were more likely to recommend the hospital to their friends and ***,relationships between specific green building features and patient experiences were not identified in this study.

关键词： green hospitals patient experiences with hospital care HOSPITAL Compare patient survey

Model architecture-oriented combat system effectiveness simulation based on MDE

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Journal of Systems Engineering and Electronics 2017年第5期28卷 900-922页

作者： Yonglin Lei Ning Zhu Jian Yao hessam Sarjoughian Weiping Wang School of Information Systems and Management National University of Defense Technology School of Computing Informatics and Decision Systems Engineering Arizona State University

Combat system effectiveness simulation (CSES) is a special type of complex system simulation. Three non-functional requirements (NFRs), i.e. model composability, domain specific modeling, and model evolvability, are gaining higher priority from CSES users when evaluating different modeling methodologies for CSES. Traditional CSES modeling methodologies are either domain-neutral (lack of domain characteristics consideration and limited support for model composability) or domain-oriented (lack of openness and evolvability) and fall short of the three NFRs. Inspired by the concept of architecture in systems engineering and software engineering fields, we extend it into a concept of model architecture for complex simulation systems, and propose a model architecture-oriented modeling methodology in which the model architecture plays a central role in achieving the three NFRs. Various model-driven engineering (MDE) approaches and technologies, including simulation modeling platform (SMP), unified modeling language (UML), domain specific modeling (DSM), eclipse modeling framework (EMF), graphical modeling framework (GMF), and so forth, are applied where possible in representing the CSES model architecture and its components' behaviors from physical and cognitive domain aspects. A prototype CSES system, called weapon effectiveness simulation system (WESS), and a non-trivial air-combat simulation example are presented to demonstrate the methodology.

关键词： combat system effectiveness simulation (CSES) model architecture model-driven engineering (MDE) simulation modeling platform (SMP) domain specific modeling (DSM) weapon effectiveness simulation system (WESS)

Bovine salmonellosis in Northeast of Iran:Frequency,genetic fingerprinting and antimicrobial resistance patterns of Salmonella spp.

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Asian Pacific Journal of Tropical Biomedicine 2014年第1期4卷 1-7页

作者： hessam A.Halimi Hesam A.Seifi Mehrnaz Rad Center of Excellence in Ruminant Abortion and Neonatal Mortality and Department of Clinical Sciences School of Veterinary MedicineFerdowsi Unversity of Mashhad Department of Pathobiology School of Veterinary MedicineFerdowsi Unversity of Mashhad

Objective:To evaluate serovar and antimicrobial resistance patterns of Salmonella spp isolated from healthy,diseased and necropsied cows and calves in this observational ***:Nineteen isolates recovered from feces and tissues of salmonellosis-affected animals of two commercial farms in north-east of *** second part of the study,the two farms were sampled 4 times with an interval of 2 *** samples included calves'feces,adult cows'feces,feeds,water,milk filters,and milk fed to *** Salmonella were isolated from 332fecal samples collected from calves and peri-parturient *** Salmonella was recovered from water,feed,milk filers and milk fed to ***:Salmonella Typhimurium was the most frequently isolate among all *** was only accounted for 8%(two out of 24)of *** Salmonella strains were used for the ERIC PCR DNA fingerprinting *** results grouped Salmonella isolates into 3 clusters,suggesting that specific genotypes were responsible for each sero-group of *** results also revealed diversity among Salmonella isolates in cluster III(sero-group B).Eighteen out of 19 Salmonella *** resistant to *** isolates out of 19 showed more than one drug ***-drug resistance was seen only among Salmonella Typhimurium *** was the most susceptible antibiotic against all isolates in this ***:The emergence of multiple antibiotic-resistant strains of Salmonella Typhimurium should be of great concern to the *** correlation between ERIC fingerprinting and resistance patterns of Salmonella isolates was found,which indicates resistance to antimicrobial agents was not related to specific genetic background.

关键词： Dairy cattle Salmonella Typhimurium Antibiotic resistance ERIC PCR

Parkinson’s Disease Detection Using Biogeography-Based Optimization

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Computers, Materials & Continua 2019年第7期61卷 11-26页

作者： Somayeh hessam Shaghayegh Vahdat Irvan Masoudi Asl Mahnaz Kazemipoor Atefeh Aghaei Shahaboddin Shamshirband Timon Rabczuk Department of Health Services Administration South Tehran BranchIslamic Azad UniversityTehranIran Department of Healthcare Services Management School of Health Management&Information SciencesIran University of Medical SciencesTehranIran Clinic for Nutrition and Natural Medicine KarajIran Department of Communication Faculty of Social SciencesUniversity of TehranTehranIran Department for Management of Science and Technology Development Ton Duc Thang UniversityHo Chi Minh CityVietnam Faculty of Information Technology Ton Duc Thang UniversityHo Chi Minh CityVietnam Institute of Structural Mechanics Bauhaus-University WeimarWeimarGermany

In recent years,Parkinson’s Disease(PD)as a progressive syndrome of the nervous system has become highly prevalent *** this study,a novel hybrid technique established by integrating a Multi-layer Perceptron Neural Network(MLP)with the Biogeography-based Optimization(BBO)to classify PD based on a series of biomedical voice *** is employed to determine the optimal MLP parameters and boost prediction *** inputs comprised of 22 biomedical voice *** proposed approach detects two PD statuses:0-disease status and 1-good control *** performance of proposed methods compared with PSO,GA,ACO and ES *** outcomes affirm that the MLP-BBO model exhibits higher precision and suitability for PD *** proposed diagnosis system as a type of speech algorithm detects early Parkinson’s symptoms,and consequently,it served as a promising new robust tool with excellent PD diagnosis performance.

关键词： Parkinson’s disease(PD) biomedical voice measurements multi-layer perceptron neural network(MLP) biogeography-based optimization(BBO) medical diagnosis bio-inspired computation