Ancillary services represent a good business opportunity that must be considered by market players. This paper presents a new methodology for ancillary services market dispatch. The method considers the bids submitted...
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Ancillary services represent a good business opportunity that must be considered by market players. This paper presents a new methodology for ancillary services market dispatch. The method considers the bids submitted to the market and includes a market clearing mechanism based on deterministic optimization. An Artificial Neural Network is used for day-ahead prediction of Regulation Down, regulation-up, Spin Reserve and non-Spin Reserve requirements. Two test cases based on California Independent System Operator data concerning dispatch of Regulation Down, Regulation Up, Spin Reserve and non-Spin Reserve services are included in this paper to illustrate the application of the proposed method: (1) dispatch considering simple bids;(2) dispatch considering complex bids. (c) 2013 Elsevier Ltd. All rights reserved.
We present a mixed integer non-linear programming (MINLP) model capable of choosing the best design considering economic profit, availability, and safety. The model takes into account the probability of suffering a fa...
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We present a mixed integer non-linear programming (MINLP) model capable of choosing the best design considering economic profit, availability, and safety. The model takes into account the probability of suffering a failure in a year of operation, as well as the revenue generated and the probability of the process units of being in a non-functional state. The inclusion of programmed maintenances of a specified duration is considered in the model, assuming an equal distribution in the maintenances time. The performance of the model is illustrated by small examples to help the reader to better understand the model, before applying it to the methanol synthesis case study, where the economic and safety objectives are represented in a Pareto front. The results showcase the possibility of considering safety during the early design stage. ? 2021 Elsevier Ltd. All rights reserved.
The global optimization of mixedintegernon-linear problems (MINLP), constitutes a major area of research in many engineering applications. In this work, a comparison is made between an algorithm based on Simulated A...
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The global optimization of mixedintegernon-linear problems (MINLP), constitutes a major area of research in many engineering applications. In this work, a comparison is made between an algorithm based on Simulated Annealing (M-SIMPSA) and two Evolutionary Algorithms: Genetic Algorithms (GAs) and Evolution Strategies (ESs). Results concerning the handling of constraints, through penalty functions, with and without penalty parameter setting, are also reported. Evolutionary Algorithms seem a valid approach to the optimization of non-linear problems. Evolution Strategies emerge as the best algorithm in most of the problems studied. (C) 2001 Elsevier Science Ltd. All rights reserved.
This study presents mixed integer non-linear programming (MINLP) approach for determining optimal location and number of distributed generators in hybrid electricity market. For optimal location of distributed generat...
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This study presents mixed integer non-linear programming (MINLP) approach for determining optimal location and number of distributed generators in hybrid electricity market. For optimal location of distributed generation (DG), first the most appropriate zone has been identified based on real power nodal price and real power loss sensitivity index as an economic and operational criterion. After identifying the suitable zone, mixed integer non-linear programming approach has been applied to locate optimal place and number of distributed generators in the obtained zone. The non-linear optimisation approach consists of minimisation of total fuel cost of conventional and DG sources as well as minimisation of line losses in the network. The pattern of nodal real and reactive power prices, line loss reduction and fuel cost saving has been obtained. The results have also been obtained for pool electricity market model for comparison. The impact of demand variation on the results has also been obtained for both the market models. The proposed MINLP-based optimisation approach has been applied for IEEE 24 bus reliability test system.
Coordinated voltage and VAR control (VVC) can provide major economic benefits for distribution utilities. Incorporating distributed generations (DG) for VVC can improve the efficiency and reliability of distribution s...
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Coordinated voltage and VAR control (VVC) can provide major economic benefits for distribution utilities. Incorporating distributed generations (DG) for VVC can improve the efficiency and reliability of distribution systems. This paper presents an approach to formulate and solve distribution system VVC with DG units as a mixed integer non-linear programming (MINLP) problem. The method can be utilized to create an effective control scheme for both the traditional VVC devices and DG units. The MINLP formulation is based on three-phase power flow formulation, and is solved with an open-source BONMIN optimization solver with outer approximation (OA) algorithm. BONMIN is interfaced with Matlab via a third-party optimization toolbox. The proposed approach is applied to several distribution feeder models with promising results. (C) 2013 Elsevier B.V. All rights reserved.
The augmented Lagrangian function has better convergence and solution properties for mixed integer non-linear programming problems than either standard Lagrangian function, or penalty function approaches. The Hopfield...
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The augmented Lagrangian function has better convergence and solution properties for mixed integer non-linear programming problems than either standard Lagrangian function, or penalty function approaches. The Hopfield neural network based approaches that have been proposed to solve this function have used continuous neurons to represent discrete variables. The augmented Hopfield network has both discrete and continuous neurons. Here a Lagrangian augmented Hopfield network (LAHN) is constructed by including augmented Lagrangian multiplier neurons in the augmented Hopfield network. This new network is applied to the generator scheduling problem (a mixed integer non-linear programming problem) and results illustrate that improved solutions are obtained. (C) 2002 Elsevier Science B.V. All rights reserved.
In the present paper an essential problem in the process industry, the trim-loss problem, is considered. The problem can be identified in many different industries (for instance in the paper and metal industry) but he...
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In the present paper an essential problem in the process industry, the trim-loss problem, is considered. The problem can be identified in many different industries (for instance in the paper and metal industry) but here, the main focus is on the paper industry or more precisely, the paper-converting industry. In the trim-loss problem at a paper-converting mill, an optimal strategy is sought for cutting a wide raw-paper reel into narrower, customer-specified product reels in such a way that the appearance of waste, the trim loss, is minimized. Besides being a numerically challenging non-convex mixed integer non-linear programming problem, the choice of objective is of great importance and a non-trivial task in order to alter sustainable and environmentally benign solutions. Therefore, in the following some transformation techniques for overcoming bilinearity and solving the original problem into its global optimality are presented. The transformations are followed by an analysis and comparison of different ways to formulate the objective function. Finally, a set of example problems are solved in order to project the theoretical considerations to more practical level. (C) 1999 Elsevier Science Ltd. All rights reserved.
This is a summary of the author's PhD thesis supervised by Andrea Lodi and defended on 16 April 2009 at the University of Bologna. The thesis is written in English and available for download at http://***/staff_pa...
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This is a summary of the author's PhD thesis supervised by Andrea Lodi and defended on 16 April 2009 at the University of Bologna. The thesis is written in English and available for download at http://***/staff_pages/dambrosio/Phd_Th_***. The main topic of the thesis is mixed integer non-linear programming, with focus on non-convex problems (i.e., problems for which the feasible region of the continuous relaxation is a non-convex set) and real-world applications. Different kinds of algorithms are presented: linearization methods, heuristic and global optimization algorithms. Also, different kinds of real-world applications are solved, arising, for example, from Hydraulic and Electrical Engineering problems. The last part of the thesis is devoted to software and tools for mixed integer non-linear programming problems.
In this paper, a novel mixed integer non-linear programming model for single component refrigerant design is presented. At the heart of the approach is a new formulation for structural feasibility that allows multiple...
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Reliability-Security Constrained Unit Commitment (RSCUC) with emphasis on mixedintegernonlinearprogramming (MINLP) and Benders Decomposition (BD) based on thermal generating units are presented in this paper. To so...
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ISBN:
(纸本)9781509047086
Reliability-Security Constrained Unit Commitment (RSCUC) with emphasis on mixedintegernonlinearprogramming (MINLP) and Benders Decomposition (BD) based on thermal generating units are presented in this paper. To solve unit commitment problem generalized BD along with reliability issues are considered. The approach presented in this work allows the decomposition of the whole program in quadratic mixedinteger master program and network security check non-linear subproblem. The case study demonstrates the effectiveness of the proposed approach.
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