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Optimizing Resource Allocation and Task Offloading in Multi-UAV MEC Networks
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Prioritized Threshold Allocation for Distributed Frequency Response
Higher penetration of renewable generation will increase the demand for adequate (and cost-effective) controllable resources on the grid that can mitigate and contain the contingencies locally before it can cause a network-wide collapse. However, end-use constraints can potentially lead to load unavailability when an event occurs, leading to unreliable demand response services. Sensors measurements and knowledge of the local load dynamics could be leveraged to improve the performance of load control algorithms. In the context of hierarchical frequency response using ensemble of switching loads, we present a metric to evaluate the fitness of each device in successfully providing the ancillary service. Furthermore a fitness-based assignment of control set-points is formulated which achieves reliable performance under different operating conditions. Monte Carlo simulations of ensembles of electric water heaters and residential air-conditioners are performed to evaluate the proposed control algorithm.
Using Monitoring Data to Improve HPC Performance via Network-Data-Driven Allocation.
Abstract not provided.
Predicting Optimal Power Allocation for CPU and DRAM Domains
Abstract not provided
Multi-Objective PMU Allocation for Resilient Power System Monitoring
Phasor measurement units (PMUs) enable better system monitoring and security enhancement in smart grids. In order to enhance power system resilience against outages and blackouts caused by extreme weather events or man-made attacks, it remains a major challenge to determine the optimal number and location of PMUs. In this paper, a multi-objective resilient PMU placement (MORPP) problem is formulated, and solved by a modified Teaching-Learning-Based optimization (MO-TLBO) algorithm. Three objectives are considered in the MORPP problem, minimizing the number of PMUs, maximizing the system observability, and minimizing the voltage stability index. The effectiveness of the proposed method is validated through testing on IEEE 14-bus, 30-bus, and 118-bus test systems. The advantage of the MO-TLBO-based MORPP is demonstrated through the comparison with other methods in the literature, in terms of iteration number, optimality and time of convergence.
Defender Policy Evaluation and Resource Allocation With MITRE ATT&CK Data and Evaluations.
Abstract not provided.
Allocation Mechanisms in Rationed Markets
Economic theory has come to play an important role in power system operations through the design of wholesale markets that are central to their operation. Furthermore, transactive energy places economic theory as a cornerstone in its operational concept as it seeks to integrate the technical needs of the power system with the preferences of its participants. Traditionally the mechanism employed is the continuous double-auction but de-pending on the circumstances the power system find itself in, this mechanism may or may not be the most appropriate, i.e. a one-size fits all market institution cannot be recommended without regard for the features of the underlying trading environment. This paper seeks to explain the economic rationale that guides the choice of a market institution and takes recourse to a theoretical demonstration in the context of a rationed power system scenario where demand exceeds generation (due to any number of events such as outages, microgrid operation, etc) and electrical energy must be rationed to better understand which types of mechanisms are most appropriate.
Optimal Computing Budget Allocation for Particle Swarm Optimization in Stochastic Optimization
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Optimal Allocation of Dynamic Var Sources Using the Voronoi Diagram Method Integrating Linear Programing
Dynamic reactive power (var) sources can effectively mitigate fault-induced delayed voltage recovery (FIDVR) issues. This paper optimizes the sizes of dynamic var sources at given locations against FIDVR issues under severe contingencies. First, the geometric characteristics about the non-convex solution space of this problem are studied. Accordingly, a Voronoi diagram approach integrating linear programming (LP) is proposed, which disperses a number of sample points of potential solutions in the searching space to construct a Voronoi diagram blending the local cost functions over the entire space by Barycentric interpolation in Voronoi regions. New sample points are then recursively added, including the tentative optimal point using LP, the most depopulated area point ensuring global fidelity, and the connecting point, until the stopping criterion is met. The new approach is demonstrated in detail on the WSCC 9-bus system. A case study on the NPCC 140-bus system also validates that the proposed approach can effectively estimate the boundary and the geometry of the feasible solution region in the searching space and find the optimal solution.
Allocation of Resources Using a Microgrid Formation Approach for Resilient Electric Grids
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Reliability-Aware Offloading and Allocation in Multilevel Edge Computing System
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Where does the carbon go? A model-data intercomparison of vegetation carbon allocation and turnover processes at two temperate forest free-air CO2 enrichment sites.
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Altering carbon allocation in hybrid poplar ( Populus alba × grandidentata ) impacts cell wall growth and development
Galactinol synthase is a pivotal enzyme involved in the synthesis of the raffinose family of oligosaccharides (RFOs) that function as transport carbohydrates in the phloem, as storage compounds in sink tissues and as soluble metabolites that combat both abiotic and biotic stress in several plant species. For hybrid poplar (Populus alba 9 grandidentata) overexpressing the Arabidopsis thaliana GolS3 (AtGolS3) gene showed clear effects on development; the extreme overexpressing lines were stunted and had cell wall traits characteristic of tension wood, whereas lines with only moderate up-regulation grew normally and had moderately altered secondary cell wall composition and ultrastructure. Stem cross-sections of the developing xylem revealed a significant increase in the number of vessels, as well as the clear presence of a G-layer in the fibres. Furthermore, AtGolS3-OE lines possessed higher cellulose and lower lignin contents, an increase in cellulose crystallinity, and significantly altered hemicellulose-derived carbohydrates, notably manifested by their mannose and xylose contents. Additionally, the transgenic plants displayed elevated xylem starch content. Transcriptome interrogation of the transgenic plants showed a significant up-regulation of genes involved in the synthesis of myo-inositol, along with genes involved in sucrose degradation. Our results suggest that the over expression of GolS and its product galactinol may serve as a molecular signal that initiates metabolic changes, culminating in a change in cell wall development and potentially the formation of tension wood.
Time allocations across collaborations of academic scientists and their impact on efforts to commercialize novel technologies: is more always better?
We investigate how time spent in different collaborative research arrangements by academic scientists affect their propensity of involvement in the commercialization of novel, university‐originated technologies. Three common collaborative strategies used by academic scientists: (1) internal (within the research group or within the home university) research collaboration; (2) cosmopolitan research collaboration (with scientists in other US or foreign universities); or (3) university–industry research collaboration are assessed. Drawing on the concepts of cognitive and spatial distance, the empirical findings suggest that only one internal research collaboration strategy has a significant impact on the propensity of academic scientists to engage in the commercialization of novel technologies with a private firm; however, this relationship is inverse U shaped. More importantly, academic scientists adopting a university–industry collaboration strategy and spending more research time in such an arrangement have a significantly stronger propensity for being involved in technology commercialization with a private firm; however, this relationship is inverse U shaped as well. We discuss the managerial and policy implications of the findings.
Task Mapping Stencil Computations for Non-Contiguous Allocations.
Abstract not provided.
Robust Maximum Lifetime Routing and Energy Allocation in Wireless Sensor Networks
Not Available