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Energies
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Modeling and Optimization Research of Integrated Energy Power System
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Modeling and Optimization Research of Integrated Energy Power System

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A: Sustainable Energy".

Deadline for manuscript submissions: closed (29 February 2024) | Viewed by 4877

Special Issue Editors

Prof. Dr. Peiguang Wang

E-Mail Website
Guest Editor
College of Electronic Information Engineering, Hebei University, Baoding 071002, China
Interests: modeling and simulation; stability; optimal control
Dr. Zhaoyan Zhang

E-Mail Website
Guest Editor
College of Mathematics and Information Science, Hebei University, Baoding 071002, China
Interests: modeling and simulation; integrated energy system operation optimization; design optimization; optimal scheduling
Prof. Dr. Changliang Liu

E-Mail Website
Guest Editor
School of Control and Computer Engineering, North China Electric Power University, Baoding, China
Interests: modeling and simulation; integrated energy system operation optimization

Special Issue Information

Dear Colleagues,

We invite you to submit your original research or review papers to this Special Issue of Energies on “Modeling and Optimization Research of Integrated Energy Power System”.

At present, the situation of climate change is becoming more and more serious. The world energy pattern is changing. The task of reducing emissions is arduous. It is necessary to build an integrated energy power system centered on renewable energy. An integrated energy power system includes a variety of energy production, transmission and storage methods. The integrated energy power system has a complex structure and a variety of equipment, and has typical nonlinear random characteristics and multi-scale dynamic characteristics. The traditional mechanism model analysis and optimal control methods have been difficult to meet the requirements of operation optimization, planning and design, multi-energy prediction and cooperative control of integrated energy power system.

This Special Issue aims to bring together studies describing recent advances in integrated energy power system modeling and simulation, optimal operation and scheduling, architecture design and optimal planning, multi-energy prediction and collaborative control. We welcome contributions from academia and industry in the aforementioned fields.

Prof. Dr. Peiguang Wang
Dr. Zhaoyan Zhang
Prof. Dr. Changliang Liu
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

  • modeling and simulation
  • operation optimization
  • optimal scheduling
  • integrated energy system
  • design optimization
  • prediction
  • cooperative control
  • stability

Published Papers (3 papers)

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Research

22 pages, 5990 KiB  
Article
Variable Blade Inertia in State-of-the-Art Wind Turbine Structural-Dynamics Models
by Laurence Alhrshy, Alexander Lippke and Clemens Jauch
Energies 2023, 16(16), 6061; https://doi.org/10.3390/en16166061 - 18 Aug 2023
Viewed by 715
Abstract
This paper presents a comparison of two methods to represent variable blade inertia in two codes for aero-servo-elastic simulations of wind turbines: the nonlinear aeroelastic multi-body model HAWC2 and the nonlinear geometrically exact beam model BeamDyn for OpenFAST. The main goal is to [...] Read more.
This paper presents a comparison of two methods to represent variable blade inertia in two codes for aero-servo-elastic simulations of wind turbines: the nonlinear aeroelastic multi-body model HAWC2 and the nonlinear geometrically exact beam model BeamDyn for OpenFAST. The main goal is to enable these tools to simulate the dynamic behavior of a wind turbine with variable blade inertia. However, current state-of-the-art load simulation tools for wind turbines cannot simulate variable blade inertia, so the source code of these tools must be modified. The validity of the modified codes is proven based on a simple beam model. The validation shows very good agreement between the modified codes of HAWC2, BeamDyn and an analytical calculation. The add-on of variable blade inertias is applied to reduce the mechanical loads of a 5-megawatt reference wind turbine with an integrated hydraulic-pneumatic flywheel in its rotor blades. Full article
(This article belongs to the Special Issue Modeling and Optimization Research of Integrated Energy Power System)
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30 pages, 8165 KiB  
Article
Day-Ahead Scheduling Strategy Optimization of Electric–Thermal Integrated Energy System to Improve the Proportion of New Energy
by Chunxia Gao, Zhaoyan Zhang and Peiguang Wang
Energies 2023, 16(9), 3781; https://doi.org/10.3390/en16093781 - 28 Apr 2023
Cited by 5 | Viewed by 1464
Abstract
The coordinated use of electricity and a heat energy system can effectively improve the energy structure during winter heating in the northern part of China and improve the environmental pollution problem. In this paper, an economic scheduling model of an electric–thermal integrated energy [...] Read more.
The coordinated use of electricity and a heat energy system can effectively improve the energy structure during winter heating in the northern part of China and improve the environmental pollution problem. In this paper, an economic scheduling model of an electric–thermal integrated energy system, including a wind turbine, regenerative electric boiler, solar heat collection system, biomass boiler, ground source heat pump and battery is proposed, and a biomass boiler was selected as the auxiliary heat source of the solar heat collection system. A mixed integer linear programming model was established to take the operating cost of the whole system as the target. A day-ahead optimization scheduling strategy considering the demand side response and improving new energy consumption is proposed. In order to verify the influence of the coordinated utilization of the flexible load and energy storage equipment on the optimal scheduling in the model built, three scenarios were set up. Scenario 3 contains energy storage and a flexible load. Compared with scenario 1, the total cost of scenario 3 was reduced by 51.5%, and the abandonment cost of wind energy was reduced by 43.3%. The use of a flexible load and energy storage can effectively reduce the cost and improve new energy consumption. By increasing the capacity of the energy-storage device, the wind power is completely absorbed, but the operation and maintenance cost is increased, so the capacity of energy storage equipment is allocated reasonably according to the actual situation. Full article
(This article belongs to the Special Issue Modeling and Optimization Research of Integrated Energy Power System)
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17 pages, 3167 KiB  
Article
Performance Analysis of a 300 MW Coal-Fired Power Unit during the Transient Processes for Peak Shaving
by Chunlai Yang, Xiaoguang Hao, Qijun Zhang, Heng Chen, Zhe Yin and Fei Jin
Energies 2023, 16(9), 3727; https://doi.org/10.3390/en16093727 - 26 Apr 2023
Cited by 4 | Viewed by 1799
Abstract
A simulation model based on Dymola modelling was developed to investigate the dynamic characteristics of automatic generation control (AGC) for variable-load thermal power units in this study. Specifically, a 300 MW unit from a power plant in northern China was used to verify [...] Read more.
A simulation model based on Dymola modelling was developed to investigate the dynamic characteristics of automatic generation control (AGC) for variable-load thermal power units in this study. Specifically, a 300 MW unit from a power plant in northern China was used to verify the model’s validity in steady-state processes and to analyze the behavior of the main thermal parameters under different rates of load changes. The economic performance of the unit under different rates of load changes is also analyzed by combining the economic indexes of “two regulations” in the power grid. Results indicate that as the rate of load changes increases, boiler output, main steam temperature, reheat steam temperature, main steam pressure, and working temperatures of various equipment fluctuate more intensely. Specifically, at a rate of load reduction of 2.0% Pe MW/min, the maximum deviation of the main steam temperature can reach 7.6 °C, with the screen-type superheater experiencing the largest heat exchange. To achieve a balance between safety and economics for the unit, the rate of load raising should not exceed 1.2% Pe MW/min, and the rate of load reduction should not exceed 0.8% Pe MW/min. This paper applies the covariance index and AGC assessment index of the thermal power unit load control system to the established dynamic simulation model to supplement the AGC assessment index in the “two regulations”, and to provide a flexible and reasonable system evaluation result for field operators to refer to, so as to improve the economics of the system on the basis of safety. Full article
(This article belongs to the Special Issue Modeling and Optimization Research of Integrated Energy Power System)
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