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International Conference on Industrial Engineering, Management Science and Application (ICIMSA)

作者： Mainkar, Medha S. Rathod, Rahul K. Automot Res Assoc India Cent Maintenance Cell Vetal HillOff Paud Rd Pune 411038 Maharashtra India

ISBN: (纸本)9781509063352

This paper presents the review/monitoring history of all kind of service equipment organization on common platform with identical format for information entry. The equipment covers ranges of all sizes, cost, portability and its use for different applications like emission measurement, safety measurement, environmental conditioning, on road measurements, etc. Micro level information data consists of equipment information (Installation date, cost etc), daily usage, observation of condition of equipment, maintenance solution, down time etc. This also provides information on availability of equipment, its actual use and tracking of maintenance data with fault processing. Recording of technical and financial information of ongoing activities including utilization is done on daily basis. The information is linked to various analysis tools. It has Inbuilt feature to measure, calculate and compare the equipment performance, to move towards achievements of TPM (Total Productive Maintenance) and six sigma business development strategy. Analysis module consists of age analysis to follow bath tub curve in its full life cycle (Infant Mortality Rate), uncertainty in breakdown faults, cause-effect analysis, root cause analysis, time and condition of component failures, With the help of analysis tools the module is allowing us to review and draw action plans to remove all root causes, update preventive maintenance plans, proper planning step to move towards predictive maintenance and zero breakdown. It gives effective input to improve user vigilance for use of equipment. It also gives us equipment classification based on age, time, periodic utilization and /cumulative utilization, technological change by stochastic dynamic programming solutions. By this module we can correctly quantify and assess break-down status and thereby reduce breakdowns significantly. We also can analysis reliability, availability, failures, machine up time, cost analysis for asset utilization like fix capit

关键词： Total Productive Maintenance Collection & Collations of Equipment availability: ization and availability: maintenance stochastic dynamic programming periodic utilization and /cumulative utilization analysis tools Maintenance Strategy

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Rate control for low delay H.264/AVC transmission over channels with burst error

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IMACS Multiconference on Computational Engineering in Systems Applications (CESA 2006)

作者： Wang, Wensheng Lu, Yang Cui, Huijuan Tang, Kun Tsinghua Univ Dept Elect Engn State Key Lab Microwave & Digital Commun Beijing 100084 Peoples R China

ISBN: (纸本)9787302139225

A rate control approach is proposed to deal with the low delay H.264/AVC video transmission over channels with burst errors by applying stochastic optimization technique. Based on the exponential rate-distortion and the linear variance prediction model, the one pass rate control algorithm will take into account the channel state and round trip delay, and make an immediate decision on the optimal rate allocation for the video frame. Simulation results show that for different end to end delay constraints and round trip delay, the number of lost frames is significantly reduced, and the average reconstruction peek sinal to noise ratio is improved by 0.5 similar to 1.6dB, compared with the reference rate control scheme [ARA, 01].

关键词： rate control stochastic dynamic programming burst error H.264/AVC

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Design of optimal, robust energy management strategy for a parallel HEV

Design of optimal, robust energy management strategy for a p...

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IEEE International Conference on Robotics and Biomimetics (ROBIO 2007)

作者： Li, Weimin Xu, Guoqing Tong, Hang Xu, Yangsheng Shanghai Jiao Tong Univ Dept Automat Shanghai 200240 Peoples R China Chinese Univ Hong Kong Dept MAE Sha Tin Peoples R China Tongji Univ Dept Elect Engn Shanghai 200331 Peoples R China CUHK CAS Shenzen Inst Adv Integrat Technol Shenzhen 518067 Peoples R China

ISBN: (纸本)9781424417612

A novel approach based on stochastic dynamic programming(SDP) is proposed to develop optimal, robust energy control strategies for a parallel hybrid electric vehicle (HEV). Unlike other approaches that take a specific drive cycle as prior deterministic information, we model the transport mission as a stochastic process based on collected data. The problem of dynamic energy management in HEV system is formulated as an infinite-horizon SDP optimization problem and solved using an efficient "policy iteration" algorithm. Our approach guarantees an optimization of vehicle performance and is robust to the accuracy of available information. In addition, the resulting energy management strategy is suitable for real-time implementation. Hence, it is more efficient and more useful in practice. Experimental results demonstrate the effectiveness of our approach compared to a rule-based algorithms.

关键词： hybrid electric vehicle stochastic dynamic programming energy management strategy

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Backward Search Approach to Incorporate Excess Stream Inflows in SDP Based Reservoir Scheduling of Hydropower Plants

Backward Search Approach to Incorporate Excess Stream Inflow...

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IEEE/PES Power Systems Conference and Exposition

作者： Jha, Deependra Kumar Yorino, Naoto Zoka, Yoshifumi Sasaki, Yutaka Hayashi, Yuki Iwata, Kazunoni Oe, Ryuji Hiroshima Univ Grad Sch Engn Dept Artificial Complex Syst Engn Hiroshima 730 Japan Chugoku Elect Power Co Inc Hiroshima Japan

ISBN: (纸本)9781424438105

This paper proposes a backward search approach to incorporate excess stream inflows, in stochastic dynamic programming (SDP) based reservoir scheduling, of hydropower plants. The aim is to reduce the amount of spill during operation of the reservoir. Energy maximization type stochastic dynamic programming (SDP) model, with inflow process assumption considered as independent, is developed for a hydropower plant located in Japan. Reservoir operating policy consists of target storage levels at the end of a period, for each combination of beginning of the period storage levels and possible average inflow states during the period. The backward search approach has been incorporated in the SDP model, during the simulation, in order to identify the annual reservoir operation curve, with reduced spill. The storage guide curves identified with incorporation of backward search approach are compared with that from the normal SDP model. It has been found that the proposed approach serves better from the view point of spill reduction.

关键词： Backward search Reservoir operation policy Storage guide curves stochastic dynamic programming Markov chain

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Optimal Operating for Battery Energy Storage System in Both Energy Market and Regulation Market 12

Optimal Operating for Battery Energy Storage System in Both ...

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12th International Conference on Power and Energy Systems (ICPES)

作者： Ma, Qianli Zheng, Huaihua Qian, Weijie Wei, Wei Tsinghua Univ Dept Elect Engn Beijing Peoples R China Jiaxing Power Supply Co State Grid Zhejiang Elect Power Co Jiaxing Peoples R China

ISBN: (纸本)9781665451451

The power system faces more challenges with the development of human society. The battery energy storage system (BESS) can provide more flexibility to power systems and it can participate in multiple services in the power market to gain more profits. We focus on the problem that the BESS participating in both the energy and regulation markets. The BESS needs to determine how to respond to the automatic generation control (AGC) signal in the fine timescale and decide the capacity offering in the energy and regulation markets in the coarse timescale. We propose a two-timescale framework to solve this problem. We use an online method for regulation service while considering the battery's cycle life. And the simulation results of the regulation service are used to estimate the regulation revenue for each hour. Then stochastic dynamic programming (SDP) is used to calculate the capacity in the energy and regulation markets. We validate our method in the case study. It shows that the BESS can gain more profits by participating in both the energy and regulation markets.

关键词： battery energy storage system energy market regulation market stochastic dynamic programming

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Control of Online-Appointment Systems When the Booking Status Signals Quality of Service

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Schmalenbach Journal of Business Research 2024年第3期76卷 397-432页

作者： Kaluza, Isabel Voigt, Guido Haase, Knut Dietze, Antonia Faculty of Business Administration Institute of Logistics and Supply Chain Management University of Hamburg Hamburg Germany Faculty of Business Administration Institute for Transport Economics University of Hamburg Hamburg Germany

We revisit a service provider’s problem to match supply and demand via an online appointment system such as a doctor in the health care sector. We identify in a survey that an extensive set of available appointments leads to significantly less demand because customers infer a lower quality of the service, as part of an observational learning process. We capture the quality inference effect in a multinomial logit framework and present a Markov decision process for solving the problem of releasing available slots of the appointment system to optimality aiming at maximizing the expected profits. We further evaluate several simple decision rules and provide management insights on which rule to apply under different generic scenarios. Different from current literature, offering all available appointments may lead to suboptimal results when accounting for the quality inference effect. The profit-maximizing strategy then is to offer a subset of the available appointments. © The Author(s) 2024.

关键词： Appointment System C61 Choice-Based Optimization Discrete Choice Markov stochastic dynamic programming

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Blackbox Optimization for Chance Constrained Hydro Scheduling Problems 6th

Blackbox Optimization for Chance Constrained Hydro Schedulin...

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6th International Workshop on Hydro Scheduling in Competitive Electricity Markets

作者： Seguin, Sara Cote, Pascal Univ Quebec Chicoutimi Saguenay PQ G7H 2B1 Canada Rio Tinto Power Operat Saguenay PQ G7S 4R5 Canada

ISBN: (纸本)9783030033118;9783030033101

This paper presents a novel method to treat a chance constrained formulation of the hydropower reservoir management problem. An advantage of this methodology is that it is easily understandable by the decision makers. However, when using explicit optimization methods, the optimal operating policy requires to be simulated over multiple scenarios to validate the feasibility of the constraints. A blackbox optimization framework is used to determine the parameters of the chance constraints, embedding the chance constrained optimization problem and the simulation as the blackbox. Numerical results are conducted on the Kemano hydropower system in Canada.

关键词： Hydropower reservoir management Blackbox optimization Chance constrained optimization stochastic dynamic programming

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A theoretical framework for modeling dual-track granting orientation in green credit policy

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ECONOMIC ANALYSIS AND POLICY 2024年 81卷 249-268页

作者： Wu, Sheng Zhou, Xiaoyong Changzhou Inst Technol Sch Econ & Management Changzhou 213032 Peoples R China Guilin Univ Aerosp Technol Coll Management Guilin 541004 Peoples R China

This study delves into the realm of green credit policy, a recognized solution for harmonizing financial growth with environmental progress. It highlights the pivotal role of credit-granting orientation in determining the effectiveness of green credit. Introducing a dual-track mechanism that combines industry and enterprise activity orientation, the study provides novel insights into green credit granting. Based on theoretical modeling and simulation analysis, the study explores how different granting orientations in green credit impact enterprise economic and environmental performance using stochastic dynamic programming. The results underscore that industry-oriented granting constrains eco-innovation capital investment and credit fund inflow, while activity-oriented granting leads to reduced carbon emissions and enhanced enterprise value. A dual-track green credit approach demonstrates a superior balance between the two orientations, delivering higher carbon emission reduction effects than industry-oriented granting and more sustainable impacts on enterprise value than activity-oriented granting. Ultimately, the study advocates for differentiating green credit into two orientation types and leveraging ecoinnovation activities as credit allocation criteria to enhance the efficiency of green credit operations.

关键词： Green credit Dual -track granting orientation Enterprise performance stochastic dynamic programming

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Penalty Factor Approach of Minimizing Spill in Finding Operating Policy for Reservoir of a Hydropower Plant: a case of Japan

Penalty Factor Approach of Minimizing Spill in Finding Opera...

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International Conference on Computer and Electrical Engineering

作者： Jha, Deependra Kumar Yorino, Naoto Zoka, Yoshifumi Sasaki, Yutaka Hayashi, Yuki Iwata, Kajunoni Oe, Ryuji Hiroshima Univ Dept Artificial Complex Syst Engn Hiroshima 730 Japan Chugoku Elect Power Co Inc Hiroshima Japan

ISBN: (纸本)9780769535043

This paper considers a penalty factor incorporated energy maximization type objective function, in order to reduce the amount of spill during the operation of the reservoir of a hydropower plant. stochastic dynamic programming (SDP) model with independent inflow process assumption is developed for a hydropower plant located in Japan. SDP models can incorporate the inherent uncertainty associated with the stream inflows better than the deterministic models. Reservoir storage guide curves for typical water years (dry, average and wet years) are identified based on the operating policy. Operating policies with various values of constant of penalty function are obtained and, simulated storage guide curve fir an average year is identified. Energy generation versus spill reduction curve may be plotted for various cases as such;a breakeven point can be identified based on the cost functions associated with the energy and spill.

关键词： Hydropower plants Markov Chain Penalty factor stochastic dynamic programming

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Temporal Difference Learning Waveform Selection

Temporal Difference Learning Waveform Selection

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2nd ISECS International Colloquium on Computing, Communication, Control and Management (CCCM 2009)

作者： Wang, Bin Wang, Jinkuan Song, Xin Han, Yinghua Northeastern Univ Coll Informat Sci & Engn Shenyang Peoples R China Northeastern Univ Engn Optimizat & Smart Antenna Inst Qingdao Peoples R China

ISBN: (纸本)9781424442461

The largest difference between cognitive radar and other adaptive radar is the adaptivity of transmitter in cognitive radar. How to optimally decide or select the radar waveform for next transmission based on the observation of past radar returns is one of the important issues. In this paper, with the stochastic dynamic programming model of waveform selection, we use the method of temporal difference learning to solve this problem and realize the adaptivity of waveform selection. The simulation results show that the uncertainty of state estimation using temporal difference learning is less than that using fixed waveform.

关键词： cognitive radar waveform selection stochastic dynamic programming temporal difference learning

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