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8th International Conference on New Energy and Future Energy Systems (NEFES)

作者： Jiang, Guodong Han, Tao Du, Hongwei Xia, Dong Huang, Chenxi Zhang, Beibei NARI Technol Co Ltd 19 Chengxin Ave Nanjing 211106 Peoples R China

ISBN: (纸本)9781643684741;9781643684758

Firstly, this paper proposes the definition and characteristics of micro energy networks, and describes the transformation and construction purposes of various energy forms in micro energy networks. We have established mathematical models for various forms of energy, including wind power, photovoltaic, natural gas, and electrical energy storage. We have established a mathematical model for the energy hub matrix, which provides a computational basis for the transformation of various forms of energy. Then, based on the previous research, an optimization function for the maximum of energy supply capacity of micro energy networks was proposed, which is a mixed integer linear programming problem and solved. Finally, based on a project example in China, calculations and analysis were conducted, and conclusions and suggestions were drawn.

关键词： Micro energy grid natural gas pipelines N-1 principle maximum energy supply capacity mixed integer linear programming

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Innovative Unit Commitment Modeling Approach Considering Multi-infeed VSC-HVDC Links

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ELECTRIC POWER COMPONENTS AND SYSTEMS 2022年第16-17期50卷 916-930页

作者： Castro, Luis M. Gonzalez-Cabrera, N. Hernandez-Amador, L. E. Guzman-Feria, J. S. Natl Autonomous Univ Mexico UNAM Dept Elect Energy Mexico City 04510 DF Mexico Natl Autonomous Univ Mexico UNAM Elect Engn Postgrad Program Mexico City DF Mexico

This paper introduces an improved optimization model for the unit commitment (UC) problem of AC power systems considering multi-infeed VSC-HVDC links. The proposed formulation is based on the linear modeling of the AC network and point-to-point HVDC links, where power losses are properly considered by piecewise linearization of AC lines, DC links and VSC units. This UC model is featured by a mixed integer linear programming (MILP) framework, thus enabling effective calculations of the optimal hourly generation scheduling for multi-infeed VSC-HVDC power grids. These sophisticated power grid studies are associated with day-ahead electricity markets carried out by power system engineers at control centers. To demonstrate the applicability of the proposed MILP-based UC model, the IEEE RTS 24-bus test system is used to carry out two case studies. The first incorporates three point-to-point HVDC links where an in-depth analysis is carried by comparing its outcomes, with and without HVDC links. The second case study features two interconnected areas having three-infeed HVDC links and several tens of generation units. Both systems are analyzed for a 24-hr planning horizon. It is confirmed that the UC model described in this paper permits to study practical power grids with multi-infeed VSC-HVDC links.

关键词： unit commitment piecewise linearization multi-infeed HVDC links mixed integer linear programming VSC stations

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PLANNING ROLLING STOCK MAINTENANCE: OPTIMIZATION OF TRAIN ARRIVAL DATES AT A MAINTENANCE CENTER

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JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION 2022年第2期18卷 747-772页

作者： Gu, Hanyu Lam, Hue Chi Zinder, Yakov Univ Technol Sydney Sch Math & Phys Sci 15 Broadway Ultimo NSW 2007 Australia

A railway network is an indispensable part of the public transportation system in many major cities around the world. In order to provide a safe and reliable service, a fleet of passenger trains must undergo regular maintenance. These maintenance operations are lengthy procedures, which are planned for one year or a longer period. The planning specifies the dates of trains' arrival at the maintenance center and should take into account the uncertain duration of maintenance operations, the periods of validity of the previous maintenance, the desired number of trains in service, and the capacity of the maintenance center. The paper presents a nonlinear programming formulation of the considered problem and several optimization procedures which were compared by computational experiments using real world data. The results of these experiments indicate that the presented approach is capable to be used in real world planning process.

关键词： maintenance planning mixed integer linear programming iterated local search earliness tardiness Poisson binomial distribution

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Cyber-Physical Power System Testing platform for Topology Identification in Power Distribution Grids

Cyber-Physical Power System Testing platform for Topology Id...

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IEEE Belgrade PowerTech Conference

作者： Torres-Olguin, Raymundo E. Sanchez-Acevedo, Santiago Mo, Olve Garces-Ruiz, Alejandro SINTEF Energy Res Dept Energy Syst Trondheim Norway UTP Fac Ingn Pereira Colombia

ISBN: (纸本)9781665487788

The transformation of passive electric power distribution grids (PDG) towards active ones relies heavily on digital and communication technologies to perform advanced functionalities such as optimal power flow or state estimation. The knowledge of the PDG topology is a fundamental requirement for enabling these functionalities. Since this information is often unavailable or outdated, topology identification (TI) appears as a key component in the smart grid transition. This paper analyses the accuracy of a recently proposed TI algorithm based on mixed integer linear programming (MILP) in a cyber-physical power system (CPPS) testing platform. Experimental results show the accuracy and robustness of the algorithm against errors in the sensor and pseudo-measurements.

关键词： Power Distribution Grids Cyber-Physical Power System (CPPS) Topology Identification mixed integer linear programming

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Computing Data-driven Multilinear Metro Maps

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CARTOGRAPHIC JOURNAL 2023年第4期60卷 367-382页

作者： Noellenburg, Martin Terziadis, Soeren TU Wien Algorithms & Complex Grp Vienna Austria

Traditionally, most schematic metro maps in practice as well as metro map layout algorithms adhere to an octolinear layout style with all paths composed of horizontal, vertical, and 45(degrees)-diagonal edges. Despite growing interest in more general multilinear metro maps, generic algorithms to draw metro maps based on a system of k >= 2 not necessarily equidistant slopes have not been investigated thoroughly. In this paper, we present and implement an adaptation of the octolinear mixed-integer linear programming approach of N & ouml;llenburg and Wolff (2011) that can draw metro maps schematized to any set C of arbitrary orientations. We further present a data-driven approach to determine a suitable set C by either detecting the best rotation of an equidistant orientation system or by clustering the input edge orientations using a k-medians algorithm. We demonstrate the new possibilities of our method using several real-world examples.

关键词： Metro map layout C-oriented schematization mixed integer linear programming

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Optimization of Electrolyte Rebalancing in Vanadium Redox Flow Batteries

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IEEE TRANSACTIONS ON ENERGY CONVERSION 2022年第1期37卷 748-751页

作者： Jafari, Mehdi Sakti, Apurba Botterud, Audun MIT Lab Informat & Decis Syst LIDS 77 Massachusetts Ave Cambridge MA 02139 USA MIT MIT Energy Initiat MITEI 77 Massachusetts Ave Cambridge MA 02139 USA

This paper presents a novel algorithm to optimize energy capacity restoration of vanadium redox flow batteries (VRFBs). VRFB technologies can have their lives prolonged through a partial restoration of the lost capacity by electrolyte rebalancing. Our algorithm finds the optimal "number" and "time" of these rebalancing services to minimize the life-time service cost, while maximizing revenues from energy arbitrage. We show that the linearized form of this problem can be analytically solved, and that the objective function is convex. To solve the complete problem, we develop a two-step mixed integer linear programming (MILP) algorithm, which first finds the bounds for optimal number of services and then optimizes the number, and time of the services. We then present a theoretical analysis and optimization results for a case study of energy arbitrage in New York ISO.

关键词： Costs Electrolytes Optimization Degradation Vanadium Mathematical models Lithium-ion batteries Flow batteries degradation cycle aging capacity restoration mixed integer linear programming

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An Optimal Energy Management Algorithm Considering Regenerative Braking and Renewable Energy for EV Charging in Railway Stations

An Optimal Energy Management Algorithm Considering Regenerat...

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IEEE-Power-and-Energy-Society General Meeting (PESGM)

作者： Pierrou, Georgia Zwirner, Yannick Hug, Gabriela ETU Zurich Power Syst Lab Dept Informat Technol & Elect Engn CH-8092 Zurich Switzerland SBB Energy CH-3000 Bern Switzerland

ISBN: (纸本)9781665464413

This paper proposes a novel optimal Energy Management System (EMS) algorithm for Electric Vehicle (EV) charging in smart electric railway stations with renewable generation. As opposed to previous railway EMS methods, the proposed EMS coordinates the combined Regenerative Braking Energy (RBE), renewable generation, electric railway demand and EV charging demand at the EV parking lot of the railway station. Numerical results using a scenario -based approach on an actual railway station in Chur, Switzerland demonstrate that the proposed algorithm can effectively minimize the expected daily operating cost for the train station over an entire year.

关键词： Terms Electric vehicles energy management railway systems regenerative braking energy renewable energy mixed integer linear programming

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Optimal Sequencing and Scheduling of Airport Operations

Optimal Sequencing and Scheduling of Airport Operations

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AIAA Aviation Forum

作者： Chakrabarti, Sharmistha Vela, Adan E. Univ Cent Florida Ind Engn & Management Syst Orlando FL 32816 USA

ISBN: (数字)9781624107047

ISBN: (纸本)9781624107047

Air traffic controllers engage in complex and dynamic decision-making when managing an airspace. This is especially true in the immediate vicinity of an airport. Unlike in en-route or terminal area airspace where aircraft usually traverse well established routes and procedures, near the airport after completing a standard arrival procedure, the routes to the final approach are only partially defined. In this airspace (i.e., 10-12 nautical miles from the airport), the local tower controllers tactically guide aircraft through tromboning and vectoring commands to maintain separation requirements between aircraft and space them out at the runway. In this paper, a mixed-integer linear programming formulation is used to design the order-sequencing of aircraft at a single runway, by allowing vectoring and tromboning, to maximize airport throughput and minimize the distance traversed while maintaining safety. The mathematical model is formulated by time-metering aircraft at potential conflict points to avoid conflicts. With the goal of building a decision support tool that emulates the control techniques and tactical maneuvers of local tower controllers, the proposed optimization formulation generates conflict-free and safe trajectories that conform to the scheduling.

关键词： Airport Operations Runways Airspace Mathematical Models mixed integer linear programming Ronald Reagan Washington National Airport International Civil Aviation Organization Controller Pilot Communication Wake Turbulence Estimated Time of Arrival

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A three-step framework for capacity Planning in a nursing home context

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HEALTH SYSTEMS 2023年第3期12卷 299-316页

作者： Dieleman, Nanne A. Buitink, Martijn Bekker, Rene Moeke, Dennis Vrije Univ Amsterdam Operat Analyt Amsterdam Netherlands Nederlandsche Bank Stat Dept Amsterdam Netherlands Vrije Univ Amsterdam Dept Math Amsterdam Netherlands HAN Univ Appl Sci Res Grp Logist & Alliances Arnhem Netherlands

This paper presents a three-step conceptual framework that can be used to structure the care-related capacity planning process in a nursing home context. The proposed framework provides a sound practical vehicle to organise client-centred care without overstretching available capacity. Within this framework, an MILP for shift scheduling and a Genetic Algorithm (GA) for task-scheduling are proposed. To investigate the performance of the proposed framework, it is benchmarked against the current situation. The results show that considerable improvements can be achieved in terms of efficiency and waiting time. More specifically, it is shown that very modest waiting times can be achieved without exceeding available capacity, despite the fluctuations in care demand across the day.

关键词： Nursing homes capacity planning framework clientcentred care mixed integer linear programming genetic algorithm

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Optimal Route Planning and Power Management for Hybrid UAV Using A* Algorithm

Optimal Route Planning and Power Management for Hybrid UAV U...

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AIAA Aviation Forum

作者： Jadischke, Jacob H. Wolff, Mitch Zumberge, Jon Hencey, Brandon Ngo, Anhtuan Wright State Univ Dayton OH 45435 USA Air Force Res Lab Wright Patterson AFB OH 45433 USA

ISBN: (数字)9781624107047

ISBN: (纸本)9781624107047

For the practical application of a gas-electric hybrid UAV, algorithms are needed to synthesize joint motion and power plans that satisfy path and energy constraints. Specifically, this paper considers the problem of finding an energy-optimal flight path toward a destination under the flight path constraints and battery-only operational constraints. Standard techniques such as reinforcement learning, or Dynamic programming are computationally expensive. This paper investigates the performance of the A* algorithm on this problem to reduce the computational complexity and, by extension, the computational time. By constructing the objective as the minimization of unrecoverable energy expenditures, the A* algorithm, Dijkstra's Algorithm, and a proposed iterative A* solution, were successfully implemented for this problem. The developed optimal control policies were observed to satisfy regions with battery-only restrictions and match the total route cost through comparison to the Dynamic programming solution of the same environment. Results show that the use of the A* algorithm and Dijkstra's algorithm obtain an optimal solution of 1.64-8.85 times faster than the optimal solution obtained through Dynamic programming.

关键词： Unmanned Aerial Vehicle Optimal Control Problem Dijkstra's Algorithm Reinforcement Learning Energy Consumption Electric Power System Closed Loop Optimization Algorithm Dynamic programming Algorithm mixed integer linear programming

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