检索结果-内蒙古大学图书馆

Risk-constrained Energy Management Strategy for a Commercial Campus Considering Comprehensive Reserves Against Islanding Conditions

引用

CSEE Journal of Power and Energy Systems 2023年第5期9卷 1797-1807页

作者： Zheming Liang Desong Bian Xiaohu Zhang Di Shi GEIRI North America San JoseCAUSA.Z.M.Liang is also with Huaneng Renewables Co.Ltd.Beijing 100036China

This paper proposes an optimal risk-constrained energy management strategy for commercial buildings in a commercial campus with islanding *** goal is to minimize the total operation and maintenance costs,while maximizing comprehensive comfort levels for the occupants.A two-stage riskconstrained,scenario-based stochastic optimization approach is adopted to handle various uncertainties associated with the energy management process,such as power generation of rooftop solar panels,arrival state-of-charges,and arrival/departure time of plug-in electric vehicles,intermittent load demand,and uncertain grid-connection conditions.A conditional-valueat-risk method is introduced to provide a risk-averse energy management *** face the challenge of both reducing the computational burden and maintaining the accuracy of the stochastic programming,an advanced scenario reduction method is *** simulation results validate the effectiveness of the proposed energy management strategy for minimizing total operating and maintenance costs of commercial buildings with islanding capabilities,while maximizing comprehensive comfort levels of the occupants.

关键词： Comprehensive comfort levels CVaR energy management islanding capability reserve stochastic programming uncertainty

来源：评论

学校读者我要写书评

暂无评论

Scenario-robust pre-disaster planning for multiple relief items

引用

ANNALS OF OPERATIONS RESEARCH 2024年第3期335卷 1241-1266页

作者： Yang, Muer Kumar, Sameer Wang, Xinfang Fry, Michael J. Univ St Thomas Opus Coll Business Dept Operat & Supply Chain Management Minneapolis MN 55403 USA Georgia Southern Univ Parker Coll Business Dept Enterprise Syst & Analyt POB 7998 Statesboro GA 30460 USA Univ Cincinnati Carl H Lindner Coll Business Univ Dept Operat Business Analyt & Informat Syst Cincinnati OH 45221 USA

The increasing vulnerability of the population from frequent disasters requires quick and effective responses to provide the required relief through effective humanitarian supply chain distribution networks. We develop scenario-robust optimization models for stocking multiple disaster relief items at strategic facility locations for disaster response. Our models improve the robustness of solutions by easing the difficult, and usually impossible, task of providing exact probability distributions for uncertain parameters in a stochastic programming model. Our models allow decision makers to specify uncertainty parameters (i.e., point and probability estimates) based on their degrees of knowledge, using distribution-free uncertainty sets in the form of ranges. The applicability of our generalized approach is illustrated via a case study of hurricane preparedness in the Southeastern United States. In addition, we conduct simulation studies to show the effectiveness of our approach when conditions deviate from the model assumptions.

关键词： Humanitarian logistics Mixed-integer optimization OR in disaster relief stochastic programming Scenario-robust optimization

来源：评论

学校读者我要写书评

暂无评论

Day-ahead multi-criteria energy management of a smart home under different electrical rationing scenarios

引用

RENEWABLE ENERGY FOCUS 2024年 51卷

作者： Issa, Haala Haj Abedini, Moein Hamzeh, Mohsen Anvari-Moghaddam, Amjad Univ Tehran Coll Engn Sch Elect & Comp Engn Tehran Iran Aalborg Univ Dept Energy AAU Energy DK-9220 Aalborg Denmark Damascus Univ Sch Elect & Mech Engn Damascus Syria

With the recent global energy crisis, some countries have implemented electrical rationing (ER), making it necessary for smart homes to play a pivotal role in optimizing energy consumption and contributing to sustainable practices. To effectively manage smart home consumption, a stochastic programming approach for a grid-connected smart home energy management system (SHEMS) is proposed in this paper. The system includes PV, battery, diesel, and gas-based heating/cooling systems (HCS). Additionally, a demand response program (DRP) has been employed under time-of-use tariffs in the Syrian energy market. The main objective is to minimize the day-ahead expected cost and consumer discomfort by optimizing the operation of dispatchable units and loads. To manage the risks associated with the expected cost due to potential uncertainties in PV energy generation and electrical rationing programs, the conditional value-at-risk (CVaR) approach is adopted. Two methods are proposed to model the uncertainty in PV energy generation;interval bands and interval-based scenarios. The problem is modeled as a mixed-integer non-linear programming (MINLP) model, and coded in GAMS to test different cases. Based on the results obtained, substantial reductions reached 56.2% in worst-case cost scenarios when employing concurrent DRP-risk management.

关键词： Electrical rationing Smart home Energy management stochastic programming Demand response Energy market Conditional value at risk

来源：评论

学校读者我要写书评

暂无评论

Optimal Placement and Sizing of Distributed Generation in Electrical DC Distribution Networks Using a stochastic Mixed-Integer LP Model

引用

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING 2025年第8期50卷 5835-5851页

作者： Valencia-Diaz, Alejandro Hincapie, Ricardo A. Gallego, Ramon A. Univ Tecnol Pereira Dept Elect Engn Pereira 660003 Risaralda Colombia

This paper presents a stochastic mixed-integer linear mathematical model for finding the optimal placement and sizing of distributed generation in a DC distribution network, considering the uncertainty of electrical demand and distributed renewable sources. The proposed model accurately represents the original mixed-integer nonlinear model, obtaining a globally optimal solution in less computational time with low errors. The mathematical model allows for considering constraints related to the maximum limits for the penetration of distributed generation, such as those specified by Resolution CREG 174 of 2021. Furthermore, the uncertainties of the electrical demand, wind energy-based distributed generation (DG), and solar energy-based DG are considered in the mathematical models using a two-stage stochastic programming approach. The accuracy and efficiency of the proposed model were tested and validated on a 21-node DC test system from the specialized literature, and the effectiveness and robustness were assessed on a 69-node DC test system. The obtained results show that the proposed stochastic mixed-integer linear mathematical model performs well.

关键词： Distributed generation DC distribution systems Mixed-integer linear programming model stochastic programming

来源：评论

学校读者我要写书评

暂无评论

Multi-configuration modular capacity wheat supply chain network design under uncertainty: robust optimisation-based approach

引用

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE-OPERATIONS & LOGISTICS 2025年第1期12卷

作者： Ostovari, Alireza Bozorgi Amiri, Ali Yousefi-Babadi, Abolghasem Benyoucef, Lyes Aix Marseille Univ CNRS LIS Marseille France Univ Tehran Coll Engn Sch Ind Engn Tehran Iran Yazd Univ Dept Ind Engn Yazd Iran

The Food Supply Chain typically refers to the processes involved in producing and distributing food, taking it from farms to consumers' homes. This research presents a robust modular capacity model for designing a wheat supply chain network, incorporating multi-level, multi-product, and multi-period considerations. The model incorporates key factors such as sleep periods, wheat quality, inter-regional transport, and flour extraction rates. Unlike previous studies that primarily focussed on national-level modelling, this study emphasises regional data for network design. This approach enables more precise and practical decision-making, tailored to specific regional needs and conditions. Regarding demand and supply fluctuations, the system optimises storage capacity at varying levels throughout the planning horizon. This approach minimises surplus infrastructure costs and avoids expenses associated with unused capacity. A modular capacity management strategy is employed to determine silo capacities effectively. The robust optimisation approach is applied to handle uncertainties in demand and transportation costs. The study evaluates three different approaches for conservatism levels in the optimisation process. Also through the real data, the model demonstrates its applicability, and the model addresses challenges such as facility underutilisation, and fluctuating demand. Sensitivity analyses reveal the trade-offs between cost efficiency and robustness. The results highlight the importance of modular infrastructure, dynamic inventory management, and resilience to uncertainties.

关键词： Wheat supply chain network modular capacity agri-food supply chain robust optimisation stochastic programming

来源：评论

学校读者我要写书评

暂无评论

Space-to-Ground Optical Communication Downlink Scheduling Under Uncertainty of Link Availability

引用

IEEE COMMUNICATIONS LETTERS 2025年第5期29卷 1136-1140页

作者： Lyu, Pei Zhao, Kanglian Wang, Shihao Zhao, Hangsheng Nanjing Univ Sch Elect Sci & Engn Nanjing 210093 Peoples R China Nanjing Univ Posts & Telecommun Sch Telecommun & Informat Engn Nanjing 210003 Peoples R China

Space-to-ground optical communication (STGOC) utilizes laser beams to establish bidirectional links between satellites and ground stations (GSs), which are sensitive to cloud blockage. In practical STGOC downlink scheduling, the uncertainty of link availability caused by cloud motion and dissipation is inevitable. We are the first to address STGOC downlink scheduling under the uncertainty of link availability, where the objective function aims to maximize the amount of data downloaded from the satellites. We provide a formulation of the scheduling problem based on Scenario Generation Approximating (SGA) while preserving the formulation linearity. A Greedy Heuristic-based algorithm is designed to solve the problem. Simulation results indicate that considering uncertainty can enhance data throughput, with the average optimality gap being 0.61%, while the running time is reduced compared to Gurobi and Kuhn-Munkres-based methods.

关键词： Satellites Uncertainty Optical fiber communication Downlink Throughput Job shop scheduling Satellite broadcasting Heuristic algorithms Earth Observing System Laser beams Space-to-ground optical communication downlink scheduling stochastic programming linear integer programming

来源：评论

学校读者我要写书评

暂无评论

A non-cooperative multi-leader one-follower integrated generation maintenance scheduling problem under the risk of generation units' disruption and variation in demands

引用

ANNALS OF OPERATIONS RESEARCH 2024年第3期336卷 1591-1635页

作者： Hassanpour, Atefeh Roghanian, Emad Bashiri, Mahdi KN Toosi Univ Technol Dept Ind Engn Tehran Iran Coventry Univ Ctr Business Soc Coventry England

The generation maintenance scheduling deals with a time sequence of preventive maintenance outages for a given set of generation units in an electricity market subject to power system restrictions. Incorporating a leader-follower structure in generation maintenance scheduling models is essential because of the inherent conflict between the interests of an independent system operator (ISO) and generation companies (GENCOs). The present paper proposes a new preventive maintenance scheduling model for generation companies facing the risk of involving generation units' disruption and demand variations while ensuring the reliability of the power system. Each GENCO proposes the maintenance schedule of its generation units to the ISO in a non-cooperative manner intending to maximize its net profit. Then ISO reacts to the aggregated schedule according to the power system's reliability index. Thus, a new formula is developed to consider all the interactions between the power system's stakeholders. In this regard, a stochastic multi-leader one-follower approach is applied. The GENCOs are considered independent leaders at the upper-level and the ISO is considered a follower at the lower-level. Then an equivalent single-level counterpart model is presented for each leader. So, the whole problem is converted into multiple individual stochastic single-level models, and then the Nash Equilibrium concept is used to determine GENCO equilibrium strategies. The proposed methodology is evaluated using some modified IEEE reliability test systems. The numerical analysis confirms that the proposed model is more effective in cases with higher uncertainties. Moreover, the performed analysis demonstrated the importance of applying a bi-level approach to the problem. Finally, the superiority of the proposed approach compared to the existing one is confirmed.

关键词： Generation maintenance scheduling Non-cooperative game Multi-leader one-follower approach Power system's reliability stochastic programming

来源：评论

学校读者我要写书评

暂无评论

Integrated emergency medical supply planning considering multiple supply channels in healthcare coalitions

引用

INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION 2024年 113卷

作者： Xu, Aocheng Wang, Qingyi Sichuan Univ Business Sch Chengdu 610064 Peoples R China Natl Univ Singapore Dept Ind Syst Engn & Management Singapore 117576 Singapore

Emergency medical supplies are crucial for the successful disaster response of healthcare coalitions. In practice, a healthcare coalition can obtain emergency medical supplies from three channels, i.e., supply pre-positioning, contracted reserve and emergency procurement, which, however, are not planned integrally in the literature. To fill the research gap, this study proposes a two-stage stochastic programming model for integrated emergency medical supply planning considering multiple supply channels in healthcare coalitions. In the first stage before disasters, decisions on emergency medical supply pre-positioning and signing of two types of medical supply procurement contracts are determined. In the second stage after disasters, decisions of emergency supply procurement, contract implementation, and supply transshipment are optimized based on the first-stage decisions and the realized uncertain disaster impacts. To show the effectiveness of our model and obtain managerial insight, we develop four comparison models and conduct a case study on the healthcare coalition of West China Hospital in China. This study highlights the great benefits of supplementing the pre-positioning of emergency medical supplies with multi-type contracted reserve in healthcare coalitions and emphasizes the importance of strengthening cooperation with suppliers and encouraging all member hospitals to implement the contracted reserve.

关键词： Emergency medical supply planning Supply pre-positioning Contracted reserve Healthcare coalition stochastic programming

来源：评论

学校读者我要写书评

暂无评论

Maintaining fairness in stochastic chemotherapy scheduling

引用

OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE 2025年 137卷

作者： Celik, Batuhan Gul, Serhat Karsu, Ozlem Bilkent Univ Dept Ind Engn TR-06800 Ankara Turkiye Rensselaer Polytech Inst Dept Ind & Syst Engn Troy NY USA TED Univ Dept Ind Engn Ankara Turkiye

Chemotherapy scheduling is hard to manage under uncertainty in infusion durations, and focusing on expected performance measure values may lead to unfavorable outcomes for some patients. In this study, we aim to design daily patient appointment schedules considering a fair environment regarding patient waiting times. We propose using a metric that encourages fairness and efficiency in waiting time allocations. To optimize this metric, we formulate a two-stage stochastic mixed-integer nonlinear programming model. We employ a binary search algorithm to identify the optimal schedule, and then propose a modified binary search algorithm (MBSA) to enhance computational capability. Moreover, to address stochastic feasibility problems at each MBSA iteration, we introduce a novel reduce-and-augment algorithm that utilizes scenario set reduction and augmentation methods. We use real data from a major oncology hospital to show the efficacy of MBSA. We compare the schedules identified by MBSA with both the baseline schedules from the oncology hospital and those generated by commonly employed scheduling heuristics. Finally, we highlight the significance of considering uncertainty in infusion durations to maintain fairness while creating appointment schedules.

关键词： Healthcare operations Chemotherapy Scheduling Fairness stochastic programming

来源：评论

学校读者我要写书评

暂无评论

Flexible Ramping Product Procurement in Day-Ahead Markets

IEEE TRANSACTIONS ON ENERGY MARKETS POLICY AND REGULATION

引用

IEEE TRANSACTIONS ON ENERGY MARKETS POLICY AND REGULATION 2025年第1期3卷 13-31页

作者： Yurdakul, Ogun Ela, Erik Billimoria, Farhad Argonne Natl Lab Energy Syst & Infrastruct Anal Div Lemont IL 60439 USA Elect Power Res Inst Energy Delivery & Customer Solut Dept Palo Alto CA 94304 USA Univ Oxford Dept Engn Sci Energy & Power Grp Oxford OX1 3PJ England

Flexible ramping products (FRPs) emerge as a promising instrument for addressing steep and uncertain ramping needs through market mechanisms. Initial implementations of FRPs in North American electricity markets, however, revealed several shortcomings in existing FRP designs. In many instances, FRP prices failed to signal the true value of ramping capacity, most notably evident in zero FRP prices observed in a myriad of periods during which the system was in acute need for rampable capacity. These periods were marked by scheduled but undeliverable FRPs, often calling for operator out-of-market actions. On top of that, the methods used for procuring FRPs have been primarily rule-based, lacking explicit economic underpinnings. In this paper, we put forth an alternative framework for FRP procurement, which seeks to set FRP requirements and schedule FRP awards such that the expected system operation cost is minimized. Using real-world data from U.S. ISOs, we showcase the relative merits of the framework in (i) reducing the total system operation cost, (ii) improving price formation, (iii) enhancing the the deliverability of FRP awards, and (iv) reducing the need for out-of-market actions.

关键词： Costs Procurement Uncertainty MISO communication Dams Regulation Schedules Day-ahead market flexible ramping product stochastic programming unit commitment

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：