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Consider a microgrid with a hybrid collection of distributed energy resources (DERs) that include fossil, renewables and energy storage battery systems. Given the dynamic variability of the DERs in terms of power production, this paper presents an optimization approach for the optimal power dispatch in such a hybrid microgrid by taking into account amplitude and rate constraints on each DER. The constrained...
In the past years Unmanned Aerial Vehicles (UAVs) have received considerable attention from the scientific community. The trajectory control is a fundamental block that a flight control system must properly address. However, a recent approach based on fractional calculus has shed a new light into this area, allowing the well tested PID controller to be improved even further. One advantage is that...
Many organizations use scheduling software to assist in the organizing of events. One popular example is Microsoft Outlook. Such software typically requires event participants to vote on time slot allocations or to negotiate with one another on time slot allocations, until event attendees are appropriately satisfied. The process of scheduling events into time slots can be automated by requiring users...
In this paper, we present a co-simulation framework that combines two main simulation tools, one that provides detailed multiple building energy simulation ability with Energy-Plus being the core engine, and the other one that is a distribution level simulator, Matpower. Such a framework can be used to develop and study district level optimization techniques that exploit the interaction between a...
In general cases, particularly in developing countries, the weakness of the national electric grid is due to overloading, high temperatures and bad weather. In such systems, the interruptions of electricity supply can take several hours to days. To prevent the power deficit, consumers can use diesel generators that are very noisy and highly polluting. But, as alternative, this paper proposes a combination...
Microgrids can offer various benefits to electricity consumers, but these benefits must be compared with the corresponding investment cost for ensuring financial feasibility. This paper is focused on the problem of optimally sizing, from an economic perspective, the Distributed Energy Resources included in a DC Microgrid, determining the optimal mix of Distributed Generators and Energy Storage Systems,...
This paper proposes a distributed controller placement problem that finds out the pareto optimal solutions minimizing the switch-to-controller delay, controller-to-controller delay, and controller load imbalance for wide area software defined networks. We introduce a general model that not only considers the controller placements but also the switch assignments, so that this model can further be used...
SDN aims to facilitate the management of increasingly complex, dynamic network environments and optimize the use of the resources available therein with minimal operator intervention. To this end, SDN controllers maintain a global view of the network topology and its state. However, the extraction of information about network flows and other network metrics remains a non-trivial challenge. Network...
Multipath TCP (MPTCP) has gained great attention by the researchers and network application developers due to its features providing better bandwidth utilization and higher reliability recently. Utilizing MPTCP in the datacenters provides performance gain to the applications. If the underlying network has Software Defined Networking (SDN) architecture, the routing of the MPTCP subflows can be specialized...
The emerging trend of network devices with configurable data planes is pushing software switches as convenient playgrounds for experimenting novel programming paradigms and abstractions. OfSoftSwitch is a popular tool for carrying on such experimentation, as it provides a straightforward implementation of a pipeline of match-action tables. Unfortunately, OfSoftSwitch is not performance oriented and...
This paper presents a methodology for optimizing the size of energy storage system (ESS) for maximizing the capture of energy regenerated by a train. Besides, minimization of energy consumption from the substation, in order to obtain a return on investment, has also been explored. A standard structure of rail transit system has been used here for analysis. The optimization process takes into account...
In this paper, the application of genetic algorithm (GA) to energy management of isolated power system is discussed. A method to realize the simultaneous optimization of configuration and operation with emergency generators (EGs) in a hospital is proposed as an example. The simultaneous optimization of configuration and operation needs search of enormous combinations, which is generally considered...
The aim of the presented paper is the study of an optimal integration of Supercapacitor based storage system and Inductive Power Transfer system for the free-catenary operation of a tramway. The paper starts from the definition of the Inductive Power transfer pad system and proposed an optimal integration strategy for the correct size of on-board supercapacitors and the inductive energy transfer.
We analyze moment-based bounding approximations on the expected value of a utility function. We show that optimizing these bounds yields a solution, which is mean-variance (MV) or MV-skewness-kurtosis (MVSK) efficient depending on how many moments are included in the approximation. To illustrate the approach we apply it to an asset allocation model with a shortfall utility function. Numerical results...
In robotics, non-linear least squares estimation is a common technique for simultaneous localization and mapping. One of the remaining challenges are measurement outliers leading to inconsistency or even divergence within the optimization process. Recently, several approaches for robust state estimation dealing with outliers inside the optimization back-end were presented, but all of them include...
Evolution-in-materio is a form of unconventional computing combining materials' training and evolutionary search algorithms. In previous work, a mixture of single-walled-carbon-nanotubes (SWCNTs) dispersed in a liquid crystal (LC) was trained so that its morphology and electrical properties were gradually changed to perform a computational task. Material-based computation is treated as an optimisation...
Recent advances in the development of commercial quantum annealers such as the D-Wave 2X allow solving NP-hard optimization problems that can be expressed as quadratic unconstrained binary programs. However, the relatively small number of available qubits (around 1000 for the D-Wave 2X quantum annealer) poses a severe limitation to the range of problems that can be solved. This paper explores the...
In the near future, one of the main processes is solving large combinatorial optimization problems. However, the performance growth of von Neumann architecture will slow due to the end of semiconductor scaling. To resolve this problem, we propose an Ising computer that maps the optimization problems to the ground state search of Ising models. We previously proposed a computer that finds the ground...
In daily work, personnel scheduling is a common and realistic problem. The so-called scheduling problem, in essence, is the process of working schedule according to the work plan, which produces a period of time to meet certain constraints. Fair and reasonable scheduling results are of great significance to mobilize staff's enthusiasm and improve work efficiency, and can bring great economic benefits...
At present, in the thermal power stations, it always cost a lost to operate the boiler combustion system and the flue gas denitrification system. Under the premise in standard emission, it can improve the power units' economic performance by optimizing the comprehensive operating cost of the boiler combustion system and denitrification system. This paper has used LSSVM to build the model of the boiler...
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