Wyniki wyszukiwania - BazTech

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Virtual Power Plant Optimization Service - Benchmark of Solvers

Alves Filipe, Ribeiro Rui, Petiz Maria, Abbasi Ali, Carvalho Pedro, Faia Ricardo, Faria Pedro, Vale Zita, Rodrigues Ricardo

Annals of Computer Science and Information Systems

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2024

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Vol. 39

279-–287

EN

This work provides a comprehensive analysis of the optimization of a Virtual Power Plant (VPP), that consider the presence of energy storage systems and controllable loads, through the benchmarking of various solvers. It delves into the development of a Mixed Integer Linear Programming (MILP) algorithm aiming at optimizing energy management and exchange within a VPP, that takes into account the operation of shift electric appliances and battery storage systems among different houses. The proposed model aims to minimize the overall electricity cost while ensuring that the energy demand of the system is met, the battery state of charge is maintained within safe operating limits, and the shift electrical appliance is scheduled. Furthermore, the experimental comparisons, the study evaluates the performance of commercial and open-source solvers in handling the complex dynamics of energy demand and supply. The findings highlight the importance of solver selection in enhancing the management, scalability, and reliability of VPP optimization strategies, offering insights into the optimal combination of programming interfaces and solvers for efficient VPP operation.

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Preliminary research of a symmetrical controllable granular damper prototype

Mackojc Anna, Chilinski Bogumil, Zalewski Robert

Bulletin of the Polish Academy of Sciences. Technical Sciences

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2022

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Vol. 70, nr 3

art. no. e141002

EN

This paper concerns the problem of empirical investigation and mathematical modelling of a novel controllable damper using Vacuum Packed Particles. Vacuum Packed Particles tend to be placed among the group of so-called ‘smart structures’. The macroscopic mechanical features of such structures can be controlled by the partial vacuum parameter. The authors consider an application of Bouc-Wen model in order to represent the dynamic behaviour of the investigated device. The verification of the model response with experimental data is discussed. The Bouc-Wen model parameters identification is described.

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A decentralized control strategy to bring back frequency and share reactive power in isolated microgrids with virtual power plant

Khanjanzadeh Amir, Soleymani Soodabeh, Mozafari Babak

Bulletin of the Polish Academy of Sciences. Technical Sciences

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2021

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Vol. 69, nr 1

art. no. e136190

EN

In this paper, a novel Power-Frequency Droop Control (PFDC) is introduced to perfectly bring back the system frequency and share the reactive power in isolated microgrid with virtual power plant (VPP). The frequency-based power delivery must be essentially implemented in VPP which can operate as a conventional synchronous generator. It has been attained by enhancing the power processing unit of each VPP to operate as an active generator. The inverter coupling impedance which has been assigned by the virtual impedance technique has reduced the affected power coupling resulting from line resistance. The reference has been subsequently adjusted to compensate the frequency deviation caused by load variation and retrieve the VPP frequency to its nominal value. In addition, the line voltage drop has compensated the voltage drop and load sharing error to obliterate the reactive power sharing imprecision resulting from the voltage deviation. The voltage feedback confirms the correct voltage after compensating the voltage drop. As an illustration, conventional PFDC after a load change cannot restore the system frequency which is deviated from 50 Hz and rested in 49.9 Hz while, proposed PFDC strategy fades away the frequency deviation via compensating the variation of the frequency reference. Likewise, the frequency restoration factor ( γ) has an effective role in retrieving the system frequency, i.e., the restoration rate of the system frequency is in proportion with γ. As a whole, the simulation results have pointed to the high performance of proposed strategy in an isolated microgrid.

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Optimal scheduling of Virtual Power Plant with risk management

Xia Y., Liu J.

Journal of Power Technologies

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2016

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Vol. 96, nr 1

49--56

EN

Due to intense electricity consumption, environmental concerns and technological development, a great number of renewable distributed resources have been widely installed in the distributed network. However, the reality that renewable distributed resources frequently fluctuate under high penetration makes effective use a challenge. Fortunately, with improved communication architecture and control techniques, this could be achieved by a Virtual Power Plant (VPP). VPP can aggregate various resources in a distributed generation portfolio, by creating one single operating profile. The aim of this paper is mainly to analyze optimal scheduling of VPP to maximize its profit, with due consideration given to the uncertainty of renewable energy output, such as wind power, and to make the energy mix respond to system need. A risk quantization method (CVaR) is introduced to deal with uncertainty. This paper presents a VPP scheduling model, which takes VPP total operation cost, traded electricity cost, unit earnings, supply-demand balancing and other constraints into account, with a CVaR assessment method embedded into this model. According to the scenarios generated by uncertainty of wind power output, numerical results for a proposed case are discussed. These results show the expected profit of VPP scheduling is closely associated with different degrees of confidence , which is a great help for VPP operators when making the tradeoff between risk and profit.

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Calibration of the Bodner-Partom Constitutive Model for Vacuum Packed Particles Using Simulated Annealing Algorithm

Zalewski R., Pyrz M., Chodkiewicz P.

Machine Dynamics Research

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2015

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Vol. 39, No. 3

93-101

EN

The work is related to the numerical modeling of Vacuum Packed Particles (VPP)-structures composed of grains enclosed in an elastic envelope and submitted to internal underpressure. The behavior of the material is modeled using viscoplastic law of Bodner-Partom. The inverse problem of constitutive model parameter identification is solved using the non deterministic optimization procedure based on simulated annealing algorithm. The results of numerical simulation are compared with experimental results.

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Virtual Power Plants - general review : structure, application and optimization

Nikonowicz Ł. B., Milewski J.

Journal of Power Technologies

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2012

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Vol. 92, nr 3

135--149

EN

In the article information about Virtual Power Plant (VPP) are gathered and presented. There is lots of paper which put attention to the new concept of generation and management of energy. The VPP concept is mainly an answer for growing up number of installed Renewable Energy Sources (RES). Nowadays where everything is 'smart' a concept of smart controlled Decentralized Energy Resources (DER) is worthy of considering. This artlicle is a review of some VPP idea and gives general pack of information about VPP. Some VPP structure and control methods are described. Test fields of VPP are presented too. In the end a short conclusion about VPP is showed.