Microgrids are low-voltage distribution network which comprise of controllable loads and distributed energy resources (DERs) that can be used in an isolated or grid-connected mode. The microgrid energy management syst...
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ISBN:
(数字)9798350370249
ISBN:
(纸本)9798350370270
Microgrids are low-voltage distribution network which comprise of controllable loads and distributed energy resources (DERs) that can be used in an isolated or grid-connected mode. The microgrid energy management system (EMS) is the hardware or software components used to efficiently operate microgrid energy resources by scheduling commitments for on-demand distributed generation units energy storage systems, energy imports and controllable loads to meet specific goals. Reliability, stability, and efficiency in microgrids are dependent upon effective energy management. The utilization of optimization techniques is crucial in accomplishing these goals. The optimization process present in the paper stores or sells energy battery system based on anticipated costs and load profile. The linear programming (LP) optimization approach minimize operating costs of microgrid for a sunny and cloudy day while maintaining the operational restrictions using MATLAB 2020. The results shows that on a cloudy day the cost of microgrid is 46.9% increased as compared to a sunny day.
Differential privacy mechanisms such as the Gaussian or Laplace mechanism have been widely used in data analytics for preserving individual privacy. However, they are mostly designed for continuous outputs and are uns...
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In this paper, we use a linear programming (LP) optimization approach to evaluate the equivocation for a wiretap channel where the main channel is noiseless, and the wiretap channel is a binary symmetric channel (BSC)...
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The irrigation water requirement in the Belitang Irrigation System cannot be fulfilled during dry season due to the limited water availability. Therefore, some agricultural land in the Belitang Irrigation System recei...
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The irrigation water requirement in the Belitang Irrigation System cannot be fulfilled during dry season due to the limited water availability. Therefore, some agricultural land in the Belitang Irrigation System receive inadequate irrigation water. To solve this problem, it is necessary to optimize the allocation of irrigation water, thus, the existing potential area could be optimized This study aimed to obtain optimum cropping area and maximum benefits by optimizing the allocation of irrigation water based on the dependable discharge and existing area. The optimum cropping area was obtained by making several alternative cropping patterns. The linear programming was used to analyze the optimization of irrigation water allocation. The results showed that the irrigation water allocation with a dependable discharge of 80% exhibited an optimum cropping area of 58,609 ha, cropping intensity of 271.36% and maximum benefits of IDR 1,041,186,630,000.00. From the results of these studies, the cropping pattern that can be applied by considering the water availability and the existing area to obtain the optimum cropping area and maximum benefit per year is paddy-paddy-paddy/second crop.
This study explores the development of a carpooling system specifically designed for the Federal University of Technology Minna staff, utilizing the Civil Engineering Department as a case study. Amidst the escalating ...
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ISBN:
(数字)9798350352863
ISBN:
(纸本)9798350352870
This study explores the development of a carpooling system specifically designed for the Federal University of Technology Minna staff, utilizing the Civil Engineering Department as a case study. Amidst the escalating concerns of environmental sustainability, traffic congestion, and the economic burdens of individual commuting, carpooling presents itself as a sustainable alternative. Employing a mixed-methods approach, this research integrates a comprehensive survey to assess staff attitudes towards carpooling with the development of a linear programming model aimed at optimizing vehicle routes and allocations. The findings from the survey indicate a significant willingness among the staff to engage in carpooling, motivated by the anticipated benefits such as cost savings and reduced commuting times. The linear programming model further validates the practicality of substantially lowering total travel distances and emissions when compared to solo commuting practices. This targeted investigation showcases the carpooling system's capability not only to enhance commute efficiency among university staff but also positions it as a replicable and sustainable model for other academic institutions. The study contributes valuable insights into the design and operationalization of effective carpooling strategies within the university landscape, proposing a scalable framework applicable to similar urban contexts.
We present a novel method to compute convex Lyapunov functions for discrete-time, switched systems. The individual subsystems are assumed to be linear. The method uses linear programming to construct continuous piecew...
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ISBN:
(数字)9798350350708
ISBN:
(纸本)9798350350715
We present a novel method to compute convex Lyapunov functions for discrete-time, switched systems. The individual subsystems are assumed to be linear. The method uses linear programming to construct continuous piecewise affine and convex Lyapunov functions for the switched system. We demonstrate the applicability of our method with two examples from the literature.
The Interior-Point Methods are a class for solving linear programming problems that rely upon the solution of linear systems. At each iteration, it becomes important to determine how to solve these linear systems when...
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This paper focuses on the event-triggered observation and control of positive complex networks with randomly occurring nonlinearities obeying a Bernoulli distribution. By utilizing observation errors and sensor measur...
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ISBN:
(数字)9798350379228
ISBN:
(纸本)9798350390780
This paper focuses on the event-triggered observation and control of positive complex networks with randomly occurring nonlinearities obeying a Bernoulli distribution. By utilizing observation errors and sensor measurements, an event-triggered scheme is formulated based on the form of 1-norm. An event-triggered controller is designed by using linear programming. Sufficient conditions are addressed to ensure the positivity of the lower bound of the closed-loop system. By employing a co-positive Lyapunov function, the stability of the upper bound of the closed-loop system is established. Finally, a simulation example is provided to illustrate the efficacy of the proposed design.
International Seaports, as in the Shanghai International Container Seaport example, have problem with Planning Seaport Operations and one of the approaches to solve this planning problem is Seaport Operations Planning...
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ISBN:
(数字)9798350362343
ISBN:
(纸本)9798350362350
International Seaports, as in the Shanghai International Container Seaport example, have problem with Planning Seaport Operations and one of the approaches to solve this planning problem is Seaport Operations Planning in the Planning Domain Description Language (PDDL). The problem with the PDDL planning is that it is computational resource intensive. That is why we have introduced transformation from the PDDL planning to linear programming in order to solve it. linear programming is computational resource light. The plan computed in this way requires binary decision on an action. Therefore the nonbinary decision of linear programming algorithm computation has been interpreted as degrees of truth.
This study utilizes a combination of linear programming analysis and Monte Carlo simulation to analyze the load characteristics of the electric vehicle-to-grid (V2G) system. The main focus is on evaluating the effecti...
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ISBN:
(数字)9798331516611
ISBN:
(纸本)9798331516628
This study utilizes a combination of linear programming analysis and Monte Carlo simulation to analyze the load characteristics of the electric vehicle-to-grid (V2G) system. The main focus is on evaluating the effectiveness of the V2G system in filling the grid load and regulating peak demand. Initially, a representative region is selected, and the grid load data for this region is presented without deploying the V2G system. Detailed analysis is conducted on the peaks and valleys in the load curves, providing a solid basis for comparison in the subsequent study. Subsequently, we constructed a mathematical model of the V2G system, which can accurately simulate the changes in the grid load data after introducing the V2G mechanism. Using this model, we thoroughly discussed how the V2G technology can intelligently regulate Evs' charging and discharging behaviors to manage the grid load effectively. It is worth noting that the grid load is affected by various complex and dynamically changing factors, and if these factors are ignored in the study, the resulting load optimization curves may be too idealized and lack the reference value for practical application. Therefore, this study innovatively introduces a “penalty term” mechanism to simulate the interference and fluctuation of other factors on the grid load except for the V2G system, so that the simulation results are closer to the real situation of grid operation. Ultimately, the results of this study clearly show that the load fluctuation of the power grid is significantly improved after the introduction of the V2G system. This finding not only verifies the great potential of V2G technology in improving the stability and flexibility of the power grid but also provides strong theoretical support and practical guidance for the further development of V2G technology and its wide application in smart grids in the future. In summary, this study not only deepens our understanding of the load characteristics of V2G systems b
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