With the advance in energy storage technology, various energy storage systems (ESSs) have been exploited for providing frequency/voltage control and other services in a microgrid. It may be impractical to adjust all o...
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With the advance in energy storage technology, various energy storage systems (ESSs) have been exploited for providing frequency/voltage control and other services in a microgrid. It may be impractical to adjust all of the ESSs charging/discharging behaviors to compensate for the supply demand mismatch due to limited number of control actions constraints, availability conditions, and ESS lifespan concerns for frequent charging/discharging operations. Therefore, this paper proposes a novel discrete distributed task allocation approach based on the winner-take-all (WTA) algorithm to select the most suitable ESSs through a sparse communication network using a consensus filter. The active power controllers of the chosen ESSs are activated to track the desired charging/discharging power reference provided by the local controller, while those of the rest ESSs remain deactivated. The proposed discrete approach is suitable for digital implementation, and its convergence and optimality are guaranteed by rigorous analysis. Simulation studies verify the effectiveness of the proposed distributed WTA-based control approach with two modified versions of the benchmark low-voltage (LV) microgrid networks.
This paper is a sequel to [3]. We keep the notation and terminology and extent the numbering of sections, propositions, and formulae of [3]. The main result of this paper as a generalization of the Robinson-Schensted ...
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This paper is a sequel to [3]. We keep the notation and terminology and extent the numbering of sections, propositions, and formulae of [3]. The main result of this paper as a generalization of the Robinson-Schensted correspondence to the class of dual graded graphs introduced in [3]. This class extends the class of Y-graphs, or differential posets [22], for which a generalized Schensted correspondence was constructed earlier in [2]. The main construction leads to unified bijective proofs of various identities related to path counting, including those obtained in [3]. It is also applied to permutation enumeration, including rook placements on Ferrers boards and enumeration of involutions. As particular cases of the general construction, we re-derive the classical algorithm of Robinson, Schensted, and Knuth [19, 12], the Sagan-Stanley [18], Sagan-Worley [16, 29] and Haiman's [11] algorithms and the author's algorithm for the Young-Fibonacci graph [2]. Some new applications are suggested. The rim hook correspondence of Stanton and White [23] and Viennot's bijection [28] are also special cases of the general construction of this paper. In [5], the results of this paper and the previous paper [3] were presented in a form of extended abstract.
To promote online eBay-like combinatorial auctions, the authors experiment with a distributive agent based mechanism PRACA which attempts to address two research issues. First, the scheme uses an algorithm CompDL to i...
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To promote online eBay-like combinatorial auctions, the authors experiment with a distributive agent based mechanism PRACA which attempts to address two research issues. First, the scheme uses an algorithm CompDL to incrementally solve the Winner Determination Problem under limited memory for any package that the bidder may be interested to bid at any time. This helps the bidder to bid effectively knowing the current state of the auction. CompDL thereby allows a large number of items to be put on auction. Second, PRACA supplies an autonomous proxy agent to each bidder who logs in to an ongoing auction;this agent bids on the bidder's behalf and relays data on requested packages to the bidder. Therefore, PRACA helps in reducing operational overheads of seller and bidder in online combinatorial auctions. Both schemes have been implemented and the efficacy of the approach is demonstrated by experiments.
Keller's Geometrical Theory of Diffraction [8] allows to render scenes with dihedron diffraction account. The Diffraction algorithm presented in [2] is too slow, since its complexity is linear with respect to the ...
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ISBN:
(纸本)3540656855
Keller's Geometrical Theory of Diffraction [8] allows to render scenes with dihedron diffraction account. The Diffraction algorithm presented in [2] is too slow, since its complexity is linear with respect to the number of dihedra. In order to accelerate it, we propose to reduce the complexity with a discrete based algorithm. Considering that diffraction mainly occurs inside the n-first FRESNEL'S ellipsoids [11], we can limit the diffraction computation to dihedra inside such ellipsoids. For efficiency we propose to use an ellipsoid approximation, the discrete tube. We describe two different algorithms for computing such a discrete tube. Their results are discussed, and show an important acceleration compared to the previous method.
In this paper, we show that the time complexity of monotone minplus product of two n x n matrices is (O) over tilde (n((3)(+omega)()/2)) = (O) over tilde (n(2.687)), where omega (n((3)(+omega)()/2)) time, which greatl...
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ISBN:
(纸本)9781450392648
In this paper, we show that the time complexity of monotone minplus product of two n x n matrices is (O) over tilde (n((3)(+omega)()/2)) = (O) over tilde (n(2.687)), where omega < 2.373 is the fast matrix multiplication exponent [Alman and Vassilevska Williams 2021]. That is, when A is an arbitrary integer matrix and B is either row-monotone or columnmonotone with integer elements bounded by O(n), computing the min-plus product C where C-i,C-j = min(k){A(i,k) + B-k,B-j} takes <(O)over tilde>(n((3)(+omega)()/2)) time, which greatly improves the previous time bound of (O) over tilde (n((12+omega)/5)) = (O) over tilde (n(2.875)) [Gu, Polak, Vassilevska Williams and Xu 2021]. Then by simple reductions, this means the case that A is arbitrary and the columns or rows of B are bounded-difference can also be solved in (O) over tilde (n((3)(+omega)()/2)) time, whose previous result gives time complexity of (O) over tilde (n(2.922)) [Bringmann, Grandoni, Saha and Vassilevska Williams 2016]. So the case that both of A and B are bounded-difference also has (O) over tilde (n((3)(+omega)()/2)) time algorithm, whose previous results give time complexities of (O) over tilde (n(2.824)) [Bringmann, Grandoni, Saha and Vassilevska Williams 2016] and (O) over tilde (n(2.779)) [Chi, Duan and Xie 2022]. Many problems are reducible to these problems, such as language edit distance, RNA-folding, scored parsing problem on BD grammars [Bringmann, Grandoni, Saha and Vassilevska Williams 2016]. Thus, their complexities are all improved. Finally, we also consider the problem of min-plus convolution between two integral sequences which are monotone and bounded by O(n), and achieve a running time upper bound of (O) over tilde (n(1.5)). Previously, this task requires running time (O) over tilde (n((9+root 177)/12)) = O(n(1.859)) [Chan and Lewenstein 2015].
The article deals with the simulation of robust control system for nonlinear non-affine scalar dynamic objects. The considered system is constructed by using the hyperstability criterion, dynamic filter-corrector and ...
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ISBN:
(纸本)9781509013227
The article deals with the simulation of robust control system for nonlinear non-affine scalar dynamic objects. The considered system is constructed by using the hyperstability criterion, dynamic filter-corrector and the L-dissipativity conditions. This approach enabled synthesis of the robust law that provides fulfillment of specified quality indicators of the system operation in the presence of nonlinear parameters and structural disturbances. The aim of this article is the study of dynamic characteristics of the robust control system for non-affine nonlinear control objects with different nonlinear parameters. With help of computational experiment, the regulator coefficients are selected, which provide a predetermined precision tracking of the command signal.
Three difference-differential processes operating upon an initial value function Φ (μ) and yielding a sequence of approximations to {Mathematical expression} are described. The processes are confluent analogues of a...
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In now-days, the PID controllers are still implemented in the industrial applications of automatic control. The purpose of this paper is to improve the PID standard algorithm evaluating the PID control output value by...
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In now-days, the PID controllers are still implemented in the industrial applications of automatic control. The purpose of this paper is to improve the PID standard algorithm evaluating the PID control output value by some numerical refined methods and by computational accuracy of the hardware support. The experimental results were obtained in simulation, using a second-order closed-loop system with a first order plant model with time delay.
Reactive power optimization is important to ensure power quality, improve system security, and reduce active power loss. So, this paper proposed parallel immune particle swarm optimization(PIPSO) algorithm. This algor...
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Reactive power optimization is important to ensure power quality, improve system security, and reduce active power loss. So, this paper proposed parallel immune particle swarm optimization(PIPSO) algorithm. This algorithm makes basic particle swarm optimization(BPSO) and discrete particle swarm optimization(DPSO) to optimize in parallel, and improves the convergence capability of particle swarm optimization with convergence ability. It is effective to overcome the problem of local convergence by immune operator, at the same time, it is more reasonable to solve the complex coding problem which discrete variables and continuous variables mixed by parallel optimization. Finally, the simulation results of IEEE-14, IEEE-30, IEEE-118 nodes system show that compared to the genetic algorithm and basic particle swarm optimization, the parallel immune particle swarm optimization can achieve the convergence effect faster and more stable, and better to solve the large-scale power system reactive power optimization.
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