Distributed Generation (DG) in the form of residential roof top photovoltaic installations is driven by consumer action. The placement of DG in the distribution network is not controlled by the network operator. Power...
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ISBN:
(纸本)9789791884723
Distributed Generation (DG) in the form of residential roof top photovoltaic installations is driven by consumer action. The placement of DG in the distribution network is not controlled by the network operator. Power quality issues, especially voltage rise and unbalance, is restricting ability of networks to accommodate further connections. There is a growing interest in utilizing the latent capacity of DG inverters to provide reactive power, or to integrate storage into DG systems, to increase the renewable power fraction. This paper presents an optimization method that is able to simultaneously manage the operation of many arbitrary located residential DG sources to reduce system losses and improve power quality. The optimization model is solved by a sequential quadratic programming (SQP) based approach and the validity is tested on an accurate three-phase four-wire unbalanced distribution network model developed during the Perth Solar City trial.
In this paper, a filter-trust-region method is used in nonlinear model predictive control (NMPC) problem. By means of simultaneous approach based on nonlinear programming, an SQP sub-problem, which treats the iterate ...
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ISBN:
(纸本)9789881563811
In this paper, a filter-trust-region method is used in nonlinear model predictive control (NMPC) problem. By means of simultaneous approach based on nonlinear programming, an SQP sub-problem, which treats the iterate step Delta u as an optimal variable, is built. After that, a trust region quadraticprogramming approach is used to solve the sub-problem, and the filter method is used to decide whether the trial point is better or not as an approximate solution to the optimization problem. And the Hessian matrix update method can also keep the sparse structure which is used to reduce the computational complexity. At last, the simulation result proves that the nonlinear predictive control algorithm based on filter-trust-region SQP method can get feasible solution within limited iterations at each time instant.
In this paper, an active set sequential quadratic programming algorithm with non-monotone line search for nonlinear minmax problems is presented. At each iteration of the proposed algorithm, a main search direction is...
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In this paper, an active set sequential quadratic programming algorithm with non-monotone line search for nonlinear minmax problems is presented. At each iteration of the proposed algorithm, a main search direction is obtained by solving a reduced quadratic program which always has a solution. In order to avoid the Maratos effect, a correction direction is yielded by solving the reduced system of linear equations. Under mild conditions without the strict complementarity, the global and superlinear convergence can be achieved. Finally, some preliminary numerical experiments axe reported.
The large volume principle proposed by Vladimir Vapnik, which advocates that hypotheses lying in an equivalence class with a larger volume are more preferable, is a useful alternative to the large margin principle. In...
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The large volume principle proposed by Vladimir Vapnik, which advocates that hypotheses lying in an equivalence class with a larger volume are more preferable, is a useful alternative to the large margin principle. In this paper, we introduce a new discriminative clustering model based on the large volume principle called maximum volume clustering (MVC), and then propose two approximation schemes to solve this MVC model: A soft-label MVC method using sequential quadratic programming and a hard-label MVC method using semi-definite programming, respectively. The proposed MVC is theoretically advantageous for three reasons. The optimization involved in hard-label MVC is convex, and under mild conditions, the optimization involved in soft-label MVC is akin to a convex one in terms of the resulting clusters. Secondly, the soft-label MVC method possesses a clustering error bound. Thirdly, MVC includes the optimization problems of a spectral clustering, two relaxed k-means clustering and an information-maximization clustering as special limit cases when its regularization parameter goes to infinity. Experiments on several artificial and benchmark data sets demonstrate that the proposed MVC compares favorably with state-of-the-art clustering methods.
The Multidisciplinary Design Analysis and Optimization (MDAO) community has developed a multitude of algorithms and techniques, called architectures, for performing optimizations on complex engineering systems which i...
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ISBN:
(数字)9781600869372
ISBN:
(纸本)9781600869372
The Multidisciplinary Design Analysis and Optimization (MDAO) community has developed a multitude of algorithms and techniques, called architectures, for performing optimizations on complex engineering systems which involve coupling between multiple discipline analyses. These architectures seek to effciently handle optimizations with computationally expensive analyses including multiple disciplines. We propose a new testing procedure that can provide a quantitative and qualitative means of comparison among architectures. The proposed test procedure is implemented within the open source framework, OpenMDAO, and comparative results are presented for five well-known architectures: MDF, IDF, CO, BLISS, and BLISS-2000. We also demonstrate how using open source soft- ware development methods can allow the MDAO community to submit new problems and architectures to keep the test suite relevant.
In this paper a new methodology is proposed to solve the optimal Distributed Generation (DG) sizing problem. The main feature of the proposed approach is utilizing the radial power flow method to satisfy the power flo...
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ISBN:
(纸本)9781424415823
In this paper a new methodology is proposed to solve the optimal Distributed Generation (DG) sizing problem. The main feature of the proposed approach is utilizing the radial power flow method to satisfy the power flow equality constraints as a substitute of the Newton method used in the conventional sequential quadratic programming (SQP). The proposed technique, Fast SQP, is tested on 69-bus and 33-bus radial systems. Simulation results indicated that the execution time of the developed technique is significantly reduced by a factor of 2/3 compared to the conventional SQP.
The real-time capability of integrated flight/propulsion optimal control （IFPOC） is studied. An appli- cation is proposed for IFPOC by combining the onboard hybrid aero-engine model with sequentialquadratic pro- gr...
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The real-time capability of integrated flight/propulsion optimal control （IFPOC） is studied. An appli- cation is proposed for IFPOC by combining the onboard hybrid aero-engine model with sequentialquadratic pro- gramming （SQP）. Firstly, a steady-state hybrid aero-engine model is designed in the whole flight envelope with a dramatic enhancement of real-time capability. Secondly, the aero-engine performance seeking control including the maximum thrust mode and the minimum fuel-consumption mode is performed by SQP. Finally, digital simu- lations for cruise and accelerating flight are carried out. Results show that the proposed method improves real- time capability considerably with satisfactory effectiveness of optimization.
Asymmetric composite laminates can have a bistable response to mechanical loading. The large deflections that can be achieved by snap-through from one stable state to another, along with a need for small and removable...
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Asymmetric composite laminates can have a bistable response to mechanical loading. The large deflections that can be achieved by snap-through from one stable state to another, along with a need for small and removable energy input, make them of interest for a wide range of engineering applications. After 30 years of research efforts the shapes and response to applied strains of laminates of general layup have been well characterized. More recently, with the development of smart actuators, the design and application of bistable laminates has been considered. This paper presents an optimization technique for the design of bistable laminates enabled by an analytical solution for an asymmetric laminate design. The optimization formulation maximizes the bending stiffness in the direction of known loading condition while the bending stiffness in the direction of snap-through is minimized. A minimum deflection requirement is applied as a constraint. The design problem has multiple local optima, with the global optimum not intuitively obvious from the problem definition, differing from the typical high-deflection cross-ply solution.
The paper presents two parametric control allocation systems for vessels equipped with two independent non-fully orientable thrusters. The proposed control-allocation methods are presented under the form of parametric...
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The paper presents two parametric control allocation systems for vessels equipped with two independent non-fully orientable thrusters. The proposed control-allocation methods are presented under the form of parametric sequential quadratic programming, in case of presence of unbounded references or in a direct parametric mapping, in case of norm-∞ bounded references (i.e. through human interface devices). Simulation results and comparison with previously presented algorithm prove the effectiveness of the proposed methods.
A sequential quadratic programming algorithm for solving nonlinear programming problems is presented. The new feature of the algorithm is related to the definition of the merit function. Instead of using one penalty p...
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A sequential quadratic programming algorithm for solving nonlinear programming problems is presented. The new feature of the algorithm is related to the definition of the merit function. Instead of using one penalty parameter per iteration and increasing it as the algorithm progresses, we suggest that a new point is to be accepted if it stays sufficiently below the piecewise linear function defined by some previous iterates on the (f, parallel to C parallel to(2)(2))-space. Therefore, the penalty parameter is allowed to decrease between successive iterations. Besides, one need not to decide how to update the penalty parameter. This approach resembles the filter method introduced by Fletcher and Leyffer [Math. Program., 91 (2001), pp. 239-269], but it is less tolerant since a merit function is still used. Numerical comparison with standard methods shows that this strategy is promising.
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