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4th International Conference on Innovative Computing (ICIC)

作者： Zia, Muhammad Fahad Inayat, Usman Mahmood, Sajid Harris, Ali Natl Univ Comp & Emerging Sicences Dept Elect Engn Lahore Pakistan Univ Management & Technol Dept Informat & Syst Lahore Pakistan

ISBN: (纸本)9781665400916

The ever-increasing development in the world causes load demand to increase exponentially each year. The current transmission and distribution systems cannot meet this load demand. Moreover, the peak demand occurs only for a short duration. However, it stresses the power system and results in system losses and damages, which can be avoided by load shedding at the cost of customer discomfort and economic losses to utilities. Energy Storage System (ESS) is a feasible option to counter this problem. In this paper, an optimal mixed integer linear programming (MILP) based computational energy arbitrage model of ESS is proposed for efficiently scheduling its charging and discharging power to avoid overloading of distribution feeder. The proposed optimization model ensures satisfaction of feeder thermal limit constraints. The case study of distribution feeder with ESS deployment is presented for proving the effectiveness of the proposed model. The results clearly demonstrate the ESS economical operation to reduce feeder peak load and maximize ESS profit.

关键词： Distribution system energy storage system mixed integer linear programming peak load demand overloading

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Optimized Power Dispatch for Solar-Storage System and Electric Vehicles with Multiple Buildings in Bilateral Contracts 11

Optimized Power Dispatch for Solar-Storage System and Electr...

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11th IEEE-PES Innovative Smart Grid Technologies Europe (IEEE-PES ISGT Europe)

作者： Ahsan, Syed M. Khan, Hassan A. Ayyadi, Soumia Arif, Syed M. Lie, Tek-Tjing Naveed-ul-Hassan Lahore Univ Management Sci Dept Elect Engn LUMS Lahore Pakistan Muhammad V Univ Rabat Morocco Auckland Univ Technol Elect & Elect Engn Dept Sch Engn Comp & Math Sci Auckland New Zealand

ISBN: (纸本)9781665448758

Integrating renewable energy resources with dedicated energy storage systems in building regimes is becoming viable with numerous well-documented advantages. Multiple buildings, i.e., primary building(s) (with solar & storage) and secondary building(s) (ordinary building dependent entirely on the grid), have bilateral contracts with each other, resulting in an optimized exchange bilaterally and with the grid to reduce grid costs. Further, the allowance of electric vehicles (EVs) in these buildings enable added options to optimize the power flows, focusing on cost reduction. In this work, a mixed-integer linear program (MILP) is formulated to maximize the primary building's profits, along with the financial gains to secondary buildings and a fleet of EVs. The charging infrastructure at the primary building also facilitates the EVs' load by accounting for factors such as feeder time-of-use (TOU) tariffs, contracted rates between the buildings, and EV charging prices. Results for actual load profiles for buildings in Auckland, New Zealand show that primary buildings earn up to 87 % of daily profits along with the 10-41 % daily cost savings for secondary buildings. The insights presented in this work can benefit local aggregators with options to maximize local profits lowering the grid dependence.

关键词： Energy Storage System Electric Vehicles mixed integer linear programming Buildings Bilateral Contracts

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An Assessment of Unmanned Aircraft System Operations with the Extensible Trajectory Optimization Library

An Assessment of Unmanned Aircraft System Operations with th...

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AIAA Science and Technology Forum and Exposition (AIAA SciTech Forum)

作者： Sanni, Olatunde Khamvilai, Thanakorn Puntawuttiwong, Teppatat Feron, Eric Georgia Inst Technol Daniel Guggenheim Sch Aerosp Engn 270 Ferst Dr Atlanta GA 30332 USA King Abdullah Univ Sci & Technol Elect & Comp Engn Thuwal 23955 Saudi Arabia Natl Elect & Comp Technol Ctr Data Driven Simulat & Syst Res Team 112 Phahonyothin Rd Pathum Thani 12120 Thailand

ISBN: (数字)9781624106095

ISBN: (纸本)9781624106095

In the not too distant future, Unmanned Aircraft Systems (UAS) will be a source of economic power in urban environments. These systems will be used for package delivery, building inspections, filming, and many other tasks. However, economic benefits should not outweigh public safety. These systems must not collide into buildings, and they must maintain a safe separation distance from neighboring systems. In other words, UAS operations should be assessed for safety. This paper assesses how safety requirements in the urban environment influence UAS operations. It presents a novel way of performing this assessment by using the Extensible Trajectory Optimization Library (ETOL) to continuously solve a vehicle guidance problem (VGP) in a multi-agent robot simulator. This paper introduces the common structure of a VGP, along with a VGP formulation for a UAS in an urban environment. In addition, a platform for safety assessments is presented, along with recommendations for improving the safety of UAS operations.

关键词： Trajectory Optimization Unmanned Aircraft System Robots Reynolds Averaged Navier Stokes Turbulence Kinetic Energy mixed integer linear programming Kinematic Viscosity Model Predictive Control Turbulence Models Turbulent Flow

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Optimal Microgrid Scheduling for Minimizing CO2 Emission Considering the Impact of Utility Grid Renewable Energy Penetration Factor

Optimal Microgrid Scheduling for Minimizing CO2 Emission Con...

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Conference on Technologies for Sustainability (Sustech)

作者： Tarek Medalel Masaud Emmanuel Nwaulu Department of Electrical and Computer Engineering University of Colorado at Colorado Springs Colorado Springs CO USA

Microgrid system is an effective platform for integrating renewable distributed generation; thus, reducing carbon emissions. However, optimal scheduling of microgrid local resources is crucial for achieving a trade-off between minimizing carbon emission and operation cost. To this end, this paper proposes a carbon emission reduction-based scheduling model for grid-connected microgrid operation. Furthermore, the model considers the impact of the renewable penetration factor of the utility grid on the model performance. The model is formulated as a mixed integer linear programming (MILP) problem and obtained results have demonstrated the effectiveness of the proposed model.

关键词： Renewable energy sources Costs Simulation Microgrids Optimal scheduling Carbon dioxide mixed integer linear programming

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Optimization of Train Schedule with Simultaneous Station Track Allocation on a Bi-directional Single-track Suburban Railway

Optimization of Train Schedule with Simultaneous Station Tra...

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IEEE Intelligent Transportation Systems Conference (ITSC)

作者： Yang, Lin Ji, Yannan Li, Dewei Beijing Jiaotong Univ Sch Traff & Transportat Beijing 100044 CO Peoples R China China Railway First Survey & Design Inst Grp Co L Beijing 710043 CO Peoples R China

ISBN: (纸本)9781728191423

Focusing on a suburban railway to be planned, an integrated optimization model related to the level of operating and planning is proposed. Specifically, an integrated mixed-integer linear programming model is formulated by introducing a set of variables presenting the occupied sequence of all trains in one segment, which solves the potential conflict between the trains in the segments and stations, and involves the rolling stock circulation problem and station track allocation problem. By using the GUROBI solver, the optimization results for two operating modes on a line are produced. The experimental results show that the effectiveness and efficiency of the model are verified since an approximate optimal solution at a given gap can always be produced in an acceptable time.

关键词： Schedules Heuristic algorithms Dynamic scheduling Rail transportation mixed integer linear programming Resource management Optimization

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Convex Approximation for LTL-based Planning

Convex Approximation for LTL-based Planning

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IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

作者： Tokuda, Shumpei Yamakita, Masaki Oyama, Hiroyuki Takano, Rin Tokyo Inst Technol Dept Syst & Control Engn Meguro Ku 1-11-1 Oh Okayama Tokyo 1518551 Japan NEC Corp Ltd Data Sci Res Labs Nakahara Ku 1753 Shimonumabe Kawasaki Kanagawa 2118666 Japan

ISBN: (纸本)9781665417143

We present a formulation for linear temporal logic (LTL)-based task planning of nonlinear dynamical systems. We consider pick-and-place task planning as a typical example of the planning task that can be modeled as a hybrid system that includes the states of robots and objects. LTL-based planning for hybrid systems is solved as a mixed-integer problem (MIP), especially a mixed-integer linear programming problem (MILP). Due to the formulation by the MILP, we could only deal with linear systems and linear constraints. In our proposed method, we apply a convex approximation to systems that have bilinear terms and quadratic terms in their dynamics. And we incorporate nonlinear systems into existing LTL-based planning as an MILP. We demonstrate the effectiveness through numerical simulations of a simple robot arm system and drone system.

关键词： linear systems programming Numerical simulation Planning Nonlinear dynamical systems Trajectory mixed integer linear programming

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Risk Management of Stochastic Power Generation Outages by Load Curtailment Program

Risk Management of Stochastic Power Generation Outages by Lo...

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Power Engineering Application (ICPEA), IEEE International Conference in

作者： Khalid Alqunun Electrical Engineering Department College of Engineering University of Hail Hail Saudi Arabia

The challenges of random generation outages are one of the major concerns in modern power systems. The unexpected power generation outages lead to a severe damage in one or more of the power components. This damage requires immediate scheduling of the available generation units to minimize the risks and increase the system security. This paper presents an optimization technique of load curtailment to be immediately applied in case of power generation outages. The optimization method involves a prompt response of the generation outages through predefined variables and constraints. The objective function of the proposed technique takes into account the power dispatch cost and the compensation cost, which will be paid directly to the end-user customers as a reward for their contribution of curtailing some of their loads. The amount of the power dispatch and the load curtailment are precisely evaluated using mixed-integer linear programming, where all the possible variables are tested before reaching a feasible solution. Example studies are presented to explore the performance of the load curtailment and to schedule all the energy sources during stochastic scenarios of the generation outages.

关键词： Schedules Costs Energy resources Stochastic processes Software Power systems mixed integer linear programming

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A hierarchical model in short-term hydro scheduling with unit commitment and head-dependency

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ENERGY 2022年第0期251卷 1页

作者： Cheng, Xianliang Feng, Suzhen Zheng, Hao Wang, Jinwen Liu, Shuangquan Power Dispatch & Control Ctr China Southern Power Guangzhou 510663 Guangdong Peoples R China Huazhong Univ Sci & Technol Sch Civil & Hydraul Engn Wuhan 430074 Hubei Peoples R China Yunnan Elect Power Dispatch & Control Ctr Kunming 650011 Yunnan Peoples R China

The short-term hydro scheduling (STHS) problem has long been studied for decades, with great efforts having been made on improving their solution methods or algorithms. This work instead aims to solve a real-world problem with a hierarchical modeling strategy presented to decouple the STHS problem into two sub-problems: a load distribution (LD) and a unit commitment (UC), which are both solved with the mixed integer linear programming (MILP) and then coordinated through their coupling variables. The linearity errors in the model can be eliminated with an efficient successive water head updating pro-cedure that adjusts the searching range based on the improvement of the objective. Taking into account the hydraulic connection, unit operating zones, head-dependency, generation and water level targets, the optimal quarter-hourly schedule for Lancang Cascade that consists of 11 hydropower reservoirs and 56 units can be obtained in 1 min for not only all the hydro-plants in the cascade but also every unit within hydro plant. The application results demonstrate that the convergence of the water head updating procedure is intermittent yet guaranteed after about 20 iterations.(c) 2022 Elsevier Ltd. All rights reserved.

关键词： Short -term hydro scheduling Unit commitment Head-dependency mixed integer linear programming Water head updating Cascaded reservoirs

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Weekly hydropower scheduling of cascaded reservoirs with hourly power and capacity balances

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APPLIED ENERGY 2022年 311卷 118620-118620页

作者： Feng, Suzhen Zheng, Hao Qiao, Yifan Yang, Zetai Wang, Jinwen Liu, Shuangquan Huazhong Univ Sci & Technol Sch Civil & Hydraul Engn 1037 Luoyu Rd Wuhan 430074 Hubei Peoples R China Huazhong Univ Sci & Technol Joint Int Water Secur Res Ctr 1037 Luoyu Rd Wuhan 430074 Hubei Peoples R China Yunnan Elect Power Dispatch & Control Ctr 17 Chuncheng Rd Kunming 650011 Yunnan Peoples R China

A medium/long-term hydropower scheduling routinely assumes the energy produced in each week will be fully utilized in peak-shaving the power demands during every day in that week, ignoring the fluctuation of the hourly power loads. This work improves the traditional weekly hydropower scheduling by integrating the hourly power and capacity balances (HPCB), which has rarely been investigated, mainly due to great challenges imposed in solving the model. The HPCB are formulated into mixed integer linear constraints, involving the spare, maintenance, disabled, reserve and working capacities, as well as the order and levels of hydroplants in peak-shaving the hourly power load curve, all to be optimized. The formulation is then improved with successive strategies in updating water heads and peak-shaving hours, aiming to boost the solution efficiency by excluding more binary variables. The case studies involving 6 cascaded hydropower reservoirs in Lancang River reveal that the traditional weekly hydropower scheduling overestimates the benefits significantly, strongly suggesting the necessity to include the HPBC into a long/mid-term hydropower scheduling. The experiments also recommend an improved model formulation that achieves very consistent results on the top three prioritized objectives, while taking less than 0.1 s to solve the problem involving all six cascaded reservoirs, demonstrating a great prospect in solving problems in large scale.

关键词： Hydropower scheduling Large scale power system Power and capacity balances mixed integer linear programming Load balancing linearization

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Operation Scheduling for Multiple HVAC Systems under Power Constraints

Operation Scheduling for Multiple HVAC Systems under Power C...

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IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

作者： Theint Theint Thu Kenshiro Kato Dafang Zhao Hiroki Nishikawa Ittetsu Taniguchi Takao Onoye Graduate School of Information Science and Technology Osaka University Suita Japan

ISBN: (数字)9798350318098

ISBN: (纸本)9798350318104

This paper proposes operation scheduling for multiple HVAC systems. Uncoordinated scheduling of multiple HVAC systems can lead to a significant power imbalance and increase energy consumption. To minimize the total energy consumption of HVAC systems, we propose a coordinated load scheduling for multiple HVAC systems, considering thermal comfort under power constraints. This work is based on mixed integer linear programming and employs model predictive control (MPC). The simulation results highlight that our scheduling problem reduces the total energy consumption by 5.7 kWh (8.7%) on average with satisfying thermal comfort compared to a state-of-the-art one.

关键词： Energy consumption Schedules HVAC Simulation Heuristic algorithms mixed integer linear programming Thermal loading

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