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Simulation, Optimization and Intelligent Control of Energy System

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A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F1: Electrical Power System".

Deadline for manuscript submissions: closed (30 April 2024) | Viewed by 3776

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Special Issue Editors

Prof. Dr. Chen Yang

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Guest Editor

Key Laboratory of Low-Grade Energy Utilization Technologies and Systems, Ministry of Education of China, Chongqing University, Chongqing 400044, China
Interests: simulation, control, optimization, and performance prediction of energy system; digital twin

Dr. Zhenzhong Li

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Guest Editor

Key Laboratory of Low-Grade Energy Utilization Technologies and Systems, Ministry of Education of China, Chongqing University, Chongqing 400044, China
Interests: two-phase flow and heat transfer in energy; power and environmental protection

Special Issue Information

Dear Colleagues,

The Guest Editor is inviting submissions to a Special Issue of Energies on the subject area of “Simulation, Optimization and Intelligent Control of Energy System”.

The uncertainty of advanced energy system affects the performance of system design, operation and control. Simulation, optimization and intelligent control of energy system are able to provide excellent abilities that reveal the intrinsic essential characteristics and the coupling characteristics, make the performance evaluation more efficient and accurate, improve the economics and reduce the environmental impact of our energy technologies. and manage the whole life cycle of energy system.

There have been many emerging techniques for energy systems in recent years. Moreover, the digital twins and artificial Intelligence (AI) are also interesting topics for power and energy researchers.

This Special Issue is focused on to bring together innovative developments and synergies in the fields of Simulation, Optimization and Intelligent Control of Energy System.

Potential topics include, but are not limited to:

Real-time dynamic data-driven simulation;
Multi⁃energy system flow modeling and simulation technology for integrated energy system;
High performance simulation and digital twin of energy system;
Application of AI for simulation, optimization and control of Energy System;
Techno-economic optimazation of energy system;
Unified modeling and simulation of integrated energy system;
Combination with reinforcement learning;
intelligent simulation optimization and scheduling in energy system;
thermodynamic modelling, analysis and optimization of numerous types of energy systems in various applications;
Optimal Dispatching and Operation Simulation of Virtual Power Plant;
Machine learning in energy systems.

Prof. Dr. Chen Yang
Dr. Zhenzhong Li
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

energy system
modeling and simulation
optimization techniques
intelligent control techniques
digital twin technology
artificial intelligence technology
virtual power plant

Published Papers (3 papers)

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Research

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15 pages, 3340 KiB

Open AccessArticle

An Optimization Method of Steam Turbine Load Resilient Adjustment by Characterizing Dynamic Changes in Superheated Steam Energy

by Jiakui Shi, Shuangshuang Fan, Jiajia Li, Jiangnan Cheng, Jie Wan and Peng E

Energies 2023, 16(8), 3324; https://doi.org/10.3390/en16083324 - 08 Apr 2023

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Abstract

Improving the dynamic regulation ability of thermal power units is effective for realizing flexible scheduling in modern power systems. At present, the unit regulation capacity is usually reflected by the load adjustment of the main steam pressure and flow tracking ability, through the calculation of the given and real-time deviation to complete the load, and by pressure adjustment. However, although the calculation involved in this method is easy and the results are intuitive, overshoot and lag can easily occur. The main reason for this is that the process from boiler combustion to turbine works has strong hysteresis and inertia, and the feedback signal of the pressure and flow rate cannot dynamically reflect the change in boiler combustion and steam energy. According to the heat transfer process of the unit, the main steam temperature can directly reflect the energy transfer in the furnace combustion process and then reflect the changing trend of steam energy. Analyzing the changing characteristics of the temperature, pressure, and flow of superheated steam under rapid load regulations makes it possible to calculate the instantaneous energy storage value of the main steam before the regulating valve, and this value was inserted into the coordinate system as a new feedforward signal. Finally, a simulation model was established by using the actual running data of the unit. A simulation experiment under variable working conditions demonstrated that this method could improve the dynamic adjustment of the unit to load and pressure and help the power grid absorb renewable energy. Full article

(This article belongs to the Special Issue Simulation, Optimization and Intelligent Control of Energy System)

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13 pages, 5487 KiB

Open AccessArticle

Dynamic Simulation of MFT and BT Processes on a 660 MW Ultra-Supercritical Circulating Fluidized Bed Boiler

by Guo Li, Xiangyu Tao, Zonglong Zhang, Chen Yang, Qigang Deng, Li Nie, Wei He, Weicheng Li, Jiayi Lu and Liming Gong

Energies 2023, 16(5), 2309; https://doi.org/10.3390/en16052309 - 27 Feb 2023

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Abstract

In order to study the dynamic characteristics of the 660 MW ultra-supercritical circulating fluidized bed (CFB) boiler when the main fuel trip (MFT) and boiler trip (BT) are triggered, a dynamic simulation model of the 660 MW ultra-supercritical circulating fluidized bed boiler was established on the Apros simulation platform. The model dynamically simulated the MFT and BT processes at 100% BMCR, 75% THA, and 50% THA conditions, respectively. The steady-state simulation results showed a high accuracy compared with the designed parameters. The dynamic simulation results showed that after triggering the MFT and BT, owing to the huge thermal inertia, the bed temperature and steam temperature decreased lowly. For 100% BMCR and 75% THA conditions, the moisture separator always worked in dry state during the MFT and BT processes. For the 50% THA condition, the moisture separator quickly switched from dry to wet operation after the boiler triggers MFT and BT and gradually switched from wet to dry operation after MFT and BT were reset. Full article

(This article belongs to the Special Issue Simulation, Optimization and Intelligent Control of Energy System)

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Review

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44 pages, 15527 KiB

Open AccessReview

Advanced Single-Phase PLL-Based Transfer Delay Operators: A Comprehensive Review and Optimal Loop Filter Design

by Bayan H. Bany Fawaz, Issam A. Smadi, Saher A. Albatran and Ibrahem E. Atawi

Energies 2024, 17(2), 419; https://doi.org/10.3390/en17020419 - 15 Jan 2024

Viewed by 852

Abstract

In recent years, several research works have addressed and developed the phase-locked loop (PLL) in single-phase grid-connected converters with different structures and properties. Each has merits and demerits, such as a complex structure, high computational burden, and slow transient response. This paper aims to comprehensively review advanced single-phase PLLs based on transport delay operators to realize signal orthogonality. A deep insight into the PLLs’ small-signal modeling, main characteristics, stability analysis, and loop filter design are provided in this paper. The main advantages and drawbacks are explained for each type of PLL in terms of different performance indexes, such as settling time, estimation error, and ripples in the estimated grid information. This paper also aims to provide optimal tuning and design of the loop filter gains from the large-signal model point of view, including all the nonlinearities, adopting the stochastic optimization method. All simulations are implemented using the MATLAB/Simulink 2018b environment to validate all theoretical analyses of this paper. The sampling and nominal frequencies are set to be 100 kHz and 50 Hz throughout all the simulation studies. Full article

(This article belongs to the Special Issue Simulation, Optimization and Intelligent Control of Energy System)

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