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Multi-objective scheduling and optimization for smart energy systems with energy hubs and microgrids

Engineering Science and Technology, an International Journal 2024年 51卷

作者： Yanliang Wang Bo Wang Hashem Farjam School of Economics and Management Yanshan University Qinhuangdao 066004 China EED Sun-Life Company Baku Azerbaijan

This paper introduces a novel model for optimizing microgrid systems by integrating multi-purpose renewable energy (MEM) and cutting-edge technologies, including electric vehicles (EVs). The proposed MEM demand response programs encompass various energy sources such as wind energy, multi-carrier energy storage technologies, boilers, combined heat and cooling units, EVs, P2G (power-to-gas), and demand response capabilities. The primary objective is to minimize the total operational cost of the microgrid system. A distinctive aspect of the proposed method lies in considering the prices of all energy carriers as unknown variables. Market prices are integrated into the modeling process, incorporating scenarios with reasonable probabilities and taking into account demand-side management programs. Moreover, the model allows for customizable programming of different parts of the multi-energy microgrids, with a focus on maintaining convexity principles for the operating area of each CHP (combined heat and power) unit. To tackle the unique complexity of this optimization problem, a developed blue whale optimization algorithm is proposed. This algorithm builds upon the main whale optimization algorithm (WOA), a promising population-based optimization approach. However, the effectiveness of WOA heavily relies on the careful setting of exploration and exploitation parameters, which may lead to being trapped in local optima. To address this challenge, the paper introduces a self-adaptation modification based on wavelet theory to enhance the WOA's performance. The proposed model and optimization method are thoroughly evaluated through simulation studies for different scenarios, showcasing their efficacy in achieving cost-efficient and sustainable microgrid operation. The combination of MEM and emerging technologies like EVs, along with the improved optimization algorithm, marks a significant contribution to advancing the planning and operation of microgrid systems towards low-cos

关键词： Multi-energy microgrids Demand side management optimization algorithm Economic planning Combined energy system Renewable resources

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Parameter inversion of nonlinear constitutive model of rockfill materials using observed deformations after dam construction

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ROCK AND SOIL MECHANICS 2014年 35卷 61-+页

作者： Li Shou-ju Zhang Jun Liang Jin-quan Sun Zhen-xiang Dalian Univ Technol State Key Lab Struct Anal Ind Equipment Dalian 116024 Liaoning Peoples R China Liaoning Pushihe Pumped Storage Co Ltd Dandong 118000 Liaoning Peoples R China

In order to determine nonlinear constitutive model parameters of rockfill materials, the inversion procedure based on response surface method is proposed. The sequential impoundment processes of concrete-faced rockfill dam are simulated by using nonlinear finite element method. The response surface functions of forecasting dam settlement for every observing point are presented. The coefficients of response surface function are calculated. Model parameters of nonlinear constitutive relationship of rockfill materials are determined using observed deformations after dam construction and response surface functions of forecasting dam settlement. The practical applications show that the proposed inversion procedure is of higher computing efficiency;and the forecasted dam settlements agree well with observed values.

关键词： model parameter inversion concrete-faced rockfill dam constitutive model dam settlements response surface optimization algorithm

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Application of algorithms in optimal operation of natural gas pipeline network

Xinan Shiyou Xueyuan Xuebao/Journal of Southwestern Petroleu...

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Xinan Shiyou Xueyuan Xuebao/Journal of Southwestern Petroleum Institute 2006年第1期28卷 79-82页

作者： Yang, Yi Li, Chang-Jun Southwest Petroleum Institute Chengdu 610500 China

The mathematical models about the optimal operation of natural gas pipeline network were described, including two kinds of objective functions: one is about maximum return and the other is about maximum flow of pipeline network as well as eight constraint conditions. Three optimized algorithms (linearization optimized algorithm, complex optimized algorithm and feasible direction optimized algorithm) to resolve that models through researching kinds of classic optimized algorithms were determined, and the application program was written. These three optimized algorithms were analyzed and compounded, and the result showed the difference of these three optimized algorithm means's result was about 1%. The example showed the linearization optimized algorithm possesses faster searching speed, better result and practicability.

关键词： Application Natural gas pipe network Optimal operation optimization algorithm

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New Approaches to Speech Enhancement Using Phase Correction in Wiener Filtering

New Approaches to Speech Enhancement Using Phase Correction ...

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International Symposium on Telecommunications

作者： P. Fardkhaleghi M. H. Savoji Electrical and Computer Engineering Faculty - Shahid Beheshti University

ISBN: (纸本)9781424481835

Typical speech enhancement algorithms that operate in the Fourier domain only modify the magnitude component of the noisy speech. It is commonly understood that the phase component is perceptually unimportant, and thus, it is passed directly to the output. Nevertheless, it has been reported in recent experiments that the Short-Time Fourier Transform (STFT) phase spectrum contributes significantly to speech intelligibility. Motivated by this, we investigated the role of phase spectrum in speech enhancement using Wiener filtering and Martin's minimum statistics. In this paper we report on results obtained using optimization algorithms, for phase correction of each processed frame, that intend to match the waveform of the zero-phase Wiener filtered speech to the conventional filter output obtained with noisy phase characteristic. No a priori information on the original phase is assumed. We show that better results are achieved using phase correction for different noise types. Different criteria are used for optimization with results similar to the case when the actual clean speech phase is at hand. Almost as good results are also obtained when minimizing the Wiener filter impulse response dispersion. The achieved improvement is assessed through different measurements such as signal to noise ratio (SNR), Segmental signal to noise ratio, and Perceptual Estimation of Speech Quality (PESQ).

关键词： Speech enhancement Phase correction optimization algorithm Wiener filtering

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Power Transformer Fault Classification by Combining Genetic Reduction with Optimized Multilayer Support Vector Machine

Power Transformer Fault Classification by Combining Genetic ...

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IEEE Innovative Smart Grid Technologies - Asia

作者： H.Z. Li S.X. Chen T. Qian W.H. Tang Q.H. Wu Foshan Power Supply Bureau of Guangdong Province No. 1 Fenjiang South Rd. Chancheng District Foshan 528000 China School of Electric Power Engineering South China University of Technology Guangzhou 510641 China

ISBN: (纸本)9781509012398

This paper presents a novel fault diagnosis model for oil-immersed power transformers based on dissolved gas analysis. The model is rooted on the theories of rough set and support vector machine. A fitness function based on attribute dependence is developed to identify fault features to improve classification accuracy of transformer fault samples by using Genetic algorithm. To get improved classification performance, grid search, genetic algorithm and particle swarm optimization are applied to search parameters of support vector machine. Compared with modified Rogers and back propagation neural network, the superiority of the established model is verified.

关键词： genetic reduction multilayer support vector machine optimization algorithm rough set transformer fault diagnosis

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Energy-aware traffic routing and resource allocation in WDM optical networks

Energy-aware traffic routing and resource allocation in WDM ...

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SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference

作者： Nereida L. Valdivia Monica de Lacerda Rocha Amilcar Careli Cesar University of Sao Paulo School of Engineering of Sao Carlos

ISBN: (纸本)9781467394932

The growth of data traffic in telecommunication networks has increased the power consumption and its saving has become a key issue in planning and management of telecommunication networks. On the other hand, to guarantee availability and reliability, core optical networks have redundant resources to support extra traffic demand or infrastructure fault. The dedicated path protection (DPP) is an effective and widely used scheme to manage fault. However, networks supporting such strategy keep protection paths in active state, even in conditions where they are not carrying traffic, thus consuming power unnecessarily. To overcome this inefficiency, an effective strategy for decreasing wasted power is an adaptive traffic routing based on sleep mode, which is a state of low power consumption able to change quickly to an active state. The strategy is to route the traffic in order to maximize the amount of network components used by protection paths that can be set in sleep mode. In general, reported strategies reduce power consumption at the expense of increasing blocking probability. In this article, we address the power saving problem in WDM networks using DPP scheme proposing a wider resource search routing and wavelength assignment (RWA), named in-depth (ID-) RWA. Computer simulations based on the COST239 topology showed that the ID-RWA has better performance regarding the compromise between blocking probability and power consumption. Moreover, it manages to decrease the blocking probability while boosting the energy awareness.

关键词： Optical network WDM RWA Energy saving optimization algorithm

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Multi-Vth technique based on potential critical paths for NBTI effect and leakage tradeoff

Multi-Vth technique based on potential critical paths for NB...

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IEEE International Conference on Electronic Measurement & Instruments

作者： Zhang Yao Yi Maoxiang Wang Keke Wu Qingwu Ding Li Liang Huaguo Department of Electronic Science and Applied Physics Hefei University of Technology Hefei 230009 Hefei China

NBTI-induced PMOS transistor aging has become an important influence factor of the circuit reliability in the current technological dimension. In this paper, Multi-Vth technique based on potential critical paths for NBTI effect and leakage tradeoff is proposed. The potential critical paths can be found at the preset timing margin and the critical gates in the potential critical paths can be replaced with the low threshold voltage type through the optimization algorithm mentioned in our paper. The experimental results on ISCAS85 benchmark circuits at 45nm node show that the after-aging delay improvement rate is up to 12.95%, which is obviously better than the current multi-threshold voltage scheme. Simultaneously, the leakage power overhead is less. Our method is more effective for the larger circuit in the anti-aging aspect.

关键词： Negative bias temperature instability (NBTI) potential critical paths Multi-threshold voltage optimization algorithm

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A Tool for Photovoltaic Panels Modeling and Testing

A Tool for Photovoltaic Panels Modeling and Testing

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IEEE Instrumentation & Measurement Technology Conference

作者： F. Adamo F. Attivissimo M. Spadavecchia Electrical and Electronic Measurements Laboratory DEE - Polytechnic of Bari

ISBN: (纸本)9781424428328;9781424428335

This paper presents the results obtained testing a tool designed to characterize and simulate the behavior of a Photovoltaic (PV) panel under real and/or simulated working conditions. The presented tool permits the continuous monitoring of the I-V (Current-Voltage) and P-V (Power-Voltage) characteristics of the panel and the comparison between actual and expected performance;in this way it is possible to prevent any possible decrease of the output power and to replace the monitored module before it goes out of order or its efficiency falls under a given threshold. The well known two-diode model is used to estimate the parameters of the electrical equivalent circuit of the PV panel and to simulate both the I-V and P-V characteristic curves in any given environmental condition of irradiation and/or temperature. The model and the estimation algorithm are implemented as a MATLAB script while the user interface is designed with LabVTEW. The presented tool has been validated against an experimentally characterized PV panel. The environmental parameters of the model such as irradiance and temperature have been measured directly, whereas the others parameters have been evaluated using a best-fit algorithm on the measured data.

关键词： Photovoltaic panel Mathematical model Simulation Newton's method optimization algorithm Characterization

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Minimizing the electricity cost of coordinating houses on microgrids

Minimizing the electricity cost of coordinating houses on mi...

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PES Innovative Smart Grid Technologies Conference Europe

作者： Mohamed Arikiez Faisal Alotaibi Salahedin Rehan Wesam Rohouma Department of Computer Science University of Liverpool United Kingdom. Department of Electronics University of York United Kingdom. Department of electrical and electronic engineering University of Zawia Libya.

ISBN: (纸本)9781509033591

This manuscript presents a comprehensive mathematical model for multi-objective optimization problem of the microgrid. The microgrid consists of houses and local plants, each seen as independent agents with their specific goals. We, also, propose a heuristic algorithm for optimizing the electricity cost by using the concept of load shifting and renewable power sharing among houses in the microgrid for a particular price. The proposed algorithm also minimizes the loss of energy by prioritizing power exchange between houses and minimize discomfort factor. The findings show that houses and micro plants working in microgrid setting can make significant savings. The results also illustrate that the algorithm guarantees that no agent will lose in the microgrid.

关键词： Microgrid home automation energy management optimization algorithm resource allocation

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A Numerical Protection Strategy for Medium-Voltage Distribution Systems

A Numerical Protection Strategy for Medium-Voltage Distribut...

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IEEE Innovative Smart Grid Technologies - Asia

作者： Dhivya Sampath Kumar Dipti Srinivasan Dept. of Electrical and Computer Engineering National University of Singapore Singapore

ISBN: (纸本)9781538642924

The plug and play nature of distributed generation (DG) sources present in existing power grids changes the fault current levels and paths seen by the relays, which challenges the traditional network protection schemes. Conventional directional overcurrent relays (DOCRs) commonly used for the protection of meshed and ring type distribution systems may not be adequate to address the impacts caused by the huge penetration of various types of DGs and their fluctuating nature. Hence in this paper, a numerical protection strategy is proposed with adaptive protection settings considering the stochastic nature of DGs. The optimal relay settings to minimize the overall operating time of the numerical relays are obtained through a novel hybrid method. In this method, an adaptive fuzzy inference module (AFIM) equipped with an optimization algorithm is used for determining the appropriate current settings and a heuristic algorithm is used for calculating the time settings of the numerical relays. The proposed protection algorithm is tested on a modified IEEE 14-bus system equipped with different types of DGs. The case study results conducted with various DG scenarios and different operation modes verify the ability of the proposed approach to deduce optimal protection settings of the numerical protection algorithm with minimal relay operating time.

关键词： Adaptive protection Directional overcurrent relay Distributed generation Distribution system Fuzzy inference module Numerical relay optimization algorithm

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