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Computational development of a practical educational tool for state estimation of power systems using the matlab optimization toolbox

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INTERNATIONAL JOURNAL OF ELECTRICAL ENGINEERING EDUCATION 2019年第2期56卷 105-123页

作者： Zamora-Cardenas, E. A. Pizano-Martinez, A. Lozano-Garcia, J. M. Gutierrez-Martinez, V. J. Cisneros-Magana, R. Univ Guanajuato Dept Elect Engn Salamanca Mexico Univ Michoacana Dept Elect Engn Morelia Michoacan Mexico

State estimation is one of the most important processes to perform a reliable monitoring and control of the steady-state operating condition of modern electric power systems;thus, it is currently a fundamental part in the development of research to enhance the monitoring and security of the smart grids operation. This important topic is taught in advanced courses of operation and control of power systems, for graduate and undergraduate power engineering students. However, the most used software packages for simulation and analysis of power systems by researchers, students, and educators have put little attention on the state estimation module. Due to this fact, this paper proposes an approach to develop the computational implementation of a practical educational tool for state estimation of electric power systems using the matlab optimization toolbox. In this proposal, the formulation of the state estimation problem consists of developing a general digital code to implement an objective function based on the weighted least squares method. While the lsqnonlin function of the matlab optimization toolbox solves the formulated state estimation problem. Simplifying both research and educational processes, this tool helps graduate and undergraduate students to improve learning, understanding, and the times of implementation and development of research in state estimation. Simulations of an equivalent model of the Mexican interconnected power system consisting of 190 buses and 46 machines are used to test and validate the proposal performance.

关键词： matlab optimization toolbox power systems state estimation weighted least squares

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The Optimal Design of Electromagnetic Ball Valve with matlab optimization toolbox

The Optimal Design of Electromagnetic Ball Valve with MATLAB...

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2nd International Conference on Machinery, Materials Science and Engineering Applications (MMSE 2012)

作者： Wei, Chen Shandong Vocat Coll Sci & Technol Dept Mech & Elect Engn Weifang Shandong Peoples R China

ISBN: (纸本)9783037854099

In this paper, the optimization model of ultra high electromagnetic ball valve is established, and using the matlab optimization toolbox for optimization calculation. Then the optimum results of relevant structural parameters are compared with C++ prepared random direction method. It shows that the optimal design model of electromagnetic ball valve is correct. So we can draw a conclusion that using matlab optimization toolbox to optimum design is feasibility in the hydraulic component design through an engineering example of ultra high electromagnetic ball valve. The optimization results show that the optimization design based on matlab optimization toolbox has high precision, the program is simple, the calculation is fast, and the optimal solutions have a high accuracy and reliability.

关键词： Electromagnetic ball valve Optimal design matlab optimization toolbox

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NMPC-Based Yaw Stability Control by Active Front Wheel Steering

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IFAC-PapersOnLine 2018年第31期51卷 583-588页

作者： Li, Shaosong Wang, Guodong Guo, Luping Li, Zheng Lu, Xiaohui Yu, Zhixin Cui, Gaojian Zhang, Jun Mechatronic Engineering Changchun University of Technology Changchun130012 China Automotive Engineering Research Institute Changchun University of Technology Changchun130012 China

This paper proposes a nonlinear model predictive control (NMPC) method for active front steering (AFS) system to improve vehicle handling and stability performance at handling limits. Nonlinear vehicle and tire models are adopted in this proposed NMPC controller to describe the nonlinear dynamics of vehicle and tire. In addition, the nonlinear optimal problem is solved by nonlinear solver in matlab optimization toolbox. Finally, this study explores the effectiveness of the NMPC system through sine and double lane change maneuver. Results corroborate that the proposed NMPC system can enhance the yaw stability at the handling limits. © 2018

关键词： Steering Automobile steering equipment Model predictive control Predictive control systems System stability Active front wheel steering Control design matlab optimization toolbox Nonlinear model predictive control Nonlinear optimal problem Vehicle dynamics Vehicle handling and stabilities Yaw stability controls

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optimization Design for Petroleum High Pressure Wellhead Gate Valve Stem Based on matlab

Optimization Design for Petroleum High Pressure Wellhead Gat...

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2nd International Conference on Frontiers of Manufacturing and Design Science (ICFMD 2011)

作者： Zhou, Sizhu Li, Chao Yangtze Univ Sch Mech Engn Jinzhou 434023 Peoples R China

ISBN: (纸本)9783037852828

The optimization for petroleum high pressure wellhead gate valve stem is significant. Valve stem load calculation method is developed, and petroleum high pressure wellhead gate valve stem optimization model based on matlab is established, taking 2 9/16 inch 35MPa wellhead gate valve for an example, the stem weight decreases by 27%, consequently decreasing valve weight.

关键词： Wellhead Gate Valve Stem matlab optimization toolbox

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Loss Allocation in AC OPF-Based Financial Transmission Rights Auction Models

Loss Allocation in AC OPF-Based Financial Transmission Right...

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North American Power Symposium (NAPS)

作者： Alburidy, Abdullah Fan, Lingling Taiwan International Graduate Program Academia Sinica and National Taiwan University Taiwan Department of Materials Science and Engineering National Chung Hsing University Taichung Taiwan

ISBN: (纸本)9781538626993

This paper presents two models of AC optimal power flow based Financial Transmission Rights (FTRs) allocation auction. Both models were compared with the conventional DC optimal power flow (DC-OPF) based model. Considering an FTR between two nodes as a real power injection at the source node and a power withdrawal at the sink node;the first model assumes that the net power due to FTRs equals zero. FTRs do not consider loss and the slack node is compensating for the total system losses. In the second model, it is suggested that each FTR's source node is taking care of a portion of the system loss by introducing a power injection. The portion of loss compensation is proportional to each FTR allocated amount, i.e., if one FTR is to use the grid more, then it should compensate more for the loss. To show the validity of all models and the advantages of the new suggested model, numerical examples of a 3-bus system and the IEEE 14-bus system are presented. All results are compared and explained.

关键词： Financial Transmission Rights FTR Allocation auction considering loss DCOPF ACOPF matlab optimization toolbox fmincon

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Research and Application on the Reactive Power optimization of the Regional Grid Planning

Research and Application on the Reactive Power Optimization ...

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2nd International Conference on Energy and Environmental Protection (ICEEP 2013)

作者： Chen, Sanbo Zhang, Han Zhang, Jian Zhengzhou Univ Sch Elect Engn Zhengzhou 450001 Peoples R China Curtin Univ Dept Elect & Comp Engn Bentley WA 6845 Australia

ISBN: (纸本)9783037857434

With the minimization of the annual operation cost as the objective function while meeting constraint conditions of the node voltage and the branch power factor, this article proposes a practical Reactive Power Programming method for regional power distribution network. The problem of reactive compensation planning capacity turns into the problem of constrained quadratic programming. Then the problem is solved by matlab optimization toolbox. The actual engineering examples show that the method is simple, fast, efficient, and has practical values in engineering.

关键词： Regional power distribution network Reactive Power Programming quadratic programming matlab optimization toolbox

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Application of matlab optimization Tool Box on Sections of Prestressed Steel-concrete Composite Box Girder

Application of Matlab Optimization Tool Box on Sections of P...

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International Conference on Material Engineering, Architectural Engineering and Informatization (MEAEI 2011)

作者： Wang, Jun Yan, Wen Gui, Xue Changan Univ Xian Shanxi 710064 Peoples R China

ISBN: (纸本)9783037852767

The constrained optimization is one kind of mathematics programming, which was widely adopted in the engineering. The efficiency optimization was achieved in the Using matlab optimization *** result illustrated that the optimization mathematical model of optimization was exact and the algorithm effective. The method can be mastered by the engineers and widely used in the engineering design

关键词： optimization of sections matlab optimization toolbox

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Dynamic Energy and Reserve Dispatch Solutions for Electricity Market with Practical Constraints

Dynamic Energy and Reserve Dispatch Solutions for Electricit...

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4th International Conference on Communication Systems and Network Technologies (CSNT)

作者： Shrivastava, Aayush Bhatt, Akanksha Pandit, Manjaree Dubey, Hari Mohan MITS Dept Elect Engn Gwalior India

ISBN: (纸本)9781479930708

Continuous power supply is crucial for any developing economy and its cost efficiency and reliability is highly dependent on operating reserve. Globally, the power systems are adopting a market based structure to enhance performance. In conventional electricity markets reserve gets a second place as its dispatch is performed after energy allocation but in the competitive market these two commodities are dispatched simultaneously to maximize efficiency and reliability. This study proposes a technique based on interior point algorithm for optimizing the dynamic combined energy and reserve dispatch problem with practical complex equality and inequality constraints such as power balance, generation and reserve capacity limits, ramp-up/down limits, and reserve-energy coupling constraints. To simulate practical outage conditions generator contingencies and their effect on operating cost and reserve dispatch is observed. The proposed algorithm is simulated on matlab platform and tested for three different cases of the IEEE 57 bus system with 17 generating units. It is found that the proposed method converges to optimal solution for all tested cases and produces feasible solutions where all complex constraints are completely satisfied.

关键词： Dynamic energy and reserve dispatch (DERD) inelastic load matlab optimization toolbox ramp rate limits sectional price characteristics

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Optimalizace rozměrů čtyřčlenného mechanismu pro dosažení požadované trajektorie

Optimalizace rozměrů čtyřčlenného mechanismu pro dosa...

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作者： Korytár, Lukáš Brno University of Technology

Práce se zabývá optimalizací délek ramen čtyřčlenného mechanismu typu RRRR pomocí maticové kinematiky. Srovnává a popisuje metody k tomu dostupné v prostředí... 详细信息

Práce se zabývá optimalizací délek ramen čtyřčlenného mechanismu typu RRRR pomocí maticové kinematiky. Srovnává a popisuje metody k tomu dostupné v prostředí matlab. Dále je navržen optimalizační algoritmus, využívající funkci fminsearch, pro niž realizuje prvotní odhad algoritmus Monte-Carlo. Pro navržený algoritmus jsou definovány základní požadavky na trajektorii, kterou je možno přesně kopírovat.

关键词： Čtyřčlenný mechanismus matlab optimization toolbox Genetický algoritmus Metoda Monte-Carlo Maticová kinematika Four-bar mechanism matlab optimization toolbox Genetic algorithm Monte-Carlo method Matrix kinematics Text

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Optimal Coordination of Wind Power and Pumped Hydro Energy Storage

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ENERGIES 2019年第22期12卷 4387-4387页

作者： Al-Masri, Hussein M. K. Al-Quraan, Ayman AbuElrub, Ahmad Ehsani, Mehrdad Yarmouk Univ Dept Elect Power Engn Irbid 21163 Jordan Jordan Univ Sci & Technol Dept Elect Engn Irbid 22110 Jordan Texas A&M Univ Dept Elect & Comp Engn College Stn TX 77843 USA

A study combining wind power with pumped hydro energy storage for the Jordanian utility grid is presented. Three solvers of the matlab optimization toolbox are used to find the optimal solution for the cost of energy in a combined on-grid system. Genetic algorithm, simulated annealing (SA), and pattern search (PS) solvers are used to find the optimal solution. The GA solution of 0.0955388 $/kWh is economically feasible. This is 28.7% lower than the electricity purchased from the conventional utility grid. The discounted payback period to recover the total cost is 10.271 years. The suggested configuration is shown to be feasible by comparing it to real measurements for this case and a previous wind-only case. It is shown that the indicators of the optimal solution are improved. For instance, carbon dioxide emissions (E-CO2) and conventional grid energy purchases are reduced by 24.69% and 24.68%, respectively. Moreover, it is shown that the benefits of adding hydro storage, combined with increasing the number of wind turbine units, reduces the cost of energy of renewables (COERenewables). Therefore, combining hydro storage with wind power is economically, environmentally, and technically a more efficient alternative to the conventional power generation.

关键词： pumped hydro storage wind farm simulated annealing genetic algorithm pattern search matlab optimization toolbox economic and environment feasibility

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