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Energies
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Emerging Modeling and Optimization Techniques for Low-Carbon Integrated Energy Systems
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Emerging Modeling and Optimization Techniques for Low-Carbon Integrated Energy Systems

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "B3: Carbon Emission and Utilization".

Deadline for manuscript submissions: closed (30 December 2022) | Viewed by 6300

Special Issue Editors

Dr. Zhao Luo

E-Mail Website
Guest Editor
Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China
Interests: integrated energy systems; operations research; electricity markets; blockchain
Dr. Junpeng Zhu

E-Mail Website
Guest Editor
College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
Interests: active distribution system, integrated energy systems; renewable energy; power system planning
Dr. Shuai Lu

E-Mail Website
Guest Editor
School of Electrical Engineering, Southeast University, Nanjing 210096, China
Interests: integrated energy systems; operations research; data-driven methods in smart grid

Special Issue Information

Dear Colleagues,

Integrated energy systems (IESs) make it possible for heterogenous energy systems—such as power, natural gas, district heating, transportation systems—to cooperate with each other. Because of the high flexibility and complementarity, IESs have great potential for improving energy efficiency and promoting renewable energy consumption. Hence, IESs are held in high regard for the development of low-carbon energy systems. Although extensive research has been devoted to the modelling, planning, operation, control, and simulation of IESs, further studies are still required for the engineering applications of IESs.

This Special Issue covers broad aspects of this topic, from scientific to engineering advancements, including, but not limited to, the following aspects: novel modelling techniques driven by physics or data for devices and networks in IESs; novel IESs planning, operation and control methods; simulation techniques for IESs; low-carbon techniques in IESs; carbon emission reduction potential analysis and evaluation of IESs; new application scenarios of IESs; and IESs engineering demonstrations. Contributions to this Special Issue, both in the form of original research or review articles, are invited.

Dr. Zhao Luo
Dr. Junpeng Zhu
Dr. Shuai Lu
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

  • integrated energy systems
  • low-carbon energy systems
  • modeling techniques
  • planning, operation and control methods
  • simulation techniques
  • carbon emission reduction techniques
  • renewable energy integration

Published Papers (5 papers)

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Research

15 pages, 1320 KiB  
Article
Determination of Weights for the Integrated Energy System Assessment Index with Electrical Energy Substitution in the Dual Carbon Context
by Yitao Zhao, Xin Lv, Xin Shen, Gang Wang, Zhao Li, Pinqin Yu and Zhao Luo
Energies 2023, 16(4), 2039; https://0-doi-org.brum.beds.ac.uk/10.3390/en16042039 - 18 Feb 2023
Cited by 2 | Viewed by 1109
Abstract
Electrical energy substitution is an important way to achieve the optimization of the energy consumption structure as well as to alleviate environmental problems, and it is also an important source of benefits of the integrated energy system. However, there are few works that [...] Read more.
Electrical energy substitution is an important way to achieve the optimization of the energy consumption structure as well as to alleviate environmental problems, and it is also an important source of benefits of the integrated energy system. However, there are few works that study the effects of electrical energy substitution on the construction of the integrated energy system (IES) and electrical energy substitution work without incentives carried out in the IES. To this end, this paper proposed a G1 method with constructing consistency matrix to determine the evaluation index weights for the IES with electrical energy substitution. Specifically, we firstly construct the evaluation index system for the IES including electrical energy substitution indicators, low-carbon indicators, technical indicators and economic indicators as well as their secondary indicators. Then, a tri-level evaluation index system of target-criteria-indicator benefits is established based on pertinent standards and norms, taking the practical operability into account. Finally, a G1-method-constructed consistency judgment matrix is proposed. Compared with the G1 method, it is simple and practical, and the weight calculation results are more in line with the reality, which effectively solves the consistency problem of the judgment matrix. The rationality and feasibility of the proposed weight calculation method are verified by the calculation and analysis of an example. Full article
(This article belongs to the Special Issue Emerging Modeling and Optimization Techniques for Low-Carbon Integrated Energy Systems)
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13 pages, 2264 KiB  
Article
Fractional Order PID Optimal Control Method of Regional Load Frequency Containing Pumped Storage Plants
by Xundong Gong, Kejun Yang, Xiaofeng Dong, Xuelei Jiang, Dewen Liu and Zhao Luo
Energies 2023, 16(4), 1703; https://0-doi-org.brum.beds.ac.uk/10.3390/en16041703 - 08 Feb 2023
Cited by 3 | Viewed by 917
Abstract
The pumped storage unit has good adjustment characteristics of a fast power response and convenient start and stop, which provides support for the safe and stable operation of the power system. To this end, this paper proposes a fractional order PID (FOPID) optimization [...] Read more.
The pumped storage unit has good adjustment characteristics of a fast power response and convenient start and stop, which provides support for the safe and stable operation of the power system. To this end, this paper proposes a fractional order PID (FOPID) optimization control method for the regional load frequency of pumped-storage power plants. Specifically, based on IEEE standards, this paper established a single-region model of pumped storage. Then, a fractional order PID (FOPID) controller was designed, and the parameters of the controller were optimized via using the chaos particle swarm optimization (CPSO) algorithm. The effectiveness of the proposed method is verified by example simulation in the two-zone model of the pumped storage based on IEEE standards. The results of the example show that the proposed method exhibits stronger robustness and stability in the regional load frequency control. Full article
(This article belongs to the Special Issue Emerging Modeling and Optimization Techniques for Low-Carbon Integrated Energy Systems)
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20 pages, 2846 KiB  
Article
Optimized Power Distribution Technology for Fast Frequency Response in Photovoltaic Power Stations
by Shuchao Wang, Shenpeng Duan, Gaoxiang Mi and Yuping Lu
Energies 2022, 15(23), 8923; https://0-doi-org.brum.beds.ac.uk/10.3390/en15238923 - 25 Nov 2022
Cited by 2 | Viewed by 832
Abstract
The fast frequency response (FFR) function in renewable energy source (RES)-based power stations has proved to be able to improve the frequency stability of power systems with high RES penetration significantly. However, most current FFR functions in photovoltaic (PV) power stations typically show [...] Read more.
The fast frequency response (FFR) function in renewable energy source (RES)-based power stations has proved to be able to improve the frequency stability of power systems with high RES penetration significantly. However, most current FFR functions in photovoltaic (PV) power stations typically show power response deviations and unnecessary power loss issues that are caused by inadequate station power distribution strategies. This is particularly important in cases where the power must be increased when the system frequency shows a downward disturbance. This paper proposes a new distribution strategy for FFR in PV power stations and studies related distribution strategies, system structures, calculation algorithms, function execution effect, and active power regulation technology. The proposed approach uses a proportional distribution strategy based on an evaluation of the real-time potential maximum power capability values of the subarrays or generation regions, which are evaluated using a few reference inverters located in every subarray or region. Real-site deployments and tests have been completed in PV power stations to verify the effectiveness of this new distribution strategy, and the proposed FFR solution using this distribution strategy has demonstrated strong performance and potential for wider application scenarios. Full article
(This article belongs to the Special Issue Emerging Modeling and Optimization Techniques for Low-Carbon Integrated Energy Systems)
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15 pages, 11936 KiB  
Article
Blind Source Separation of Transformer Acoustic Signal Based on Sparse Component Analysis
by Guo Wang, Yibin Wang, Yongzhi Min and Wu Lei
Energies 2022, 15(16), 6017; https://0-doi-org.brum.beds.ac.uk/10.3390/en15166017 - 19 Aug 2022
Cited by 6 | Viewed by 1379
Abstract
In the acoustics-based power transformer fault diagnosis, a transformer acoustic signal collected by an acoustic sensor is generally mixed with a large number of interference signals. In order to separate transformer acoustic signals from mixed acoustic signals obtained by a small number of [...] Read more.
In the acoustics-based power transformer fault diagnosis, a transformer acoustic signal collected by an acoustic sensor is generally mixed with a large number of interference signals. In order to separate transformer acoustic signals from mixed acoustic signals obtained by a small number of sensors, a blind source separation (BSS) method of transformer acoustic signal based on sparse component analysis (SCA) is proposed in this paper. Firstly, the mixed acoustic signals are transformed from time domain to time–frequency (TF) domain, and single source points (SSPs) in the TF plane are extracted by identifying the phase angle differences of the TF points. Then, the mixing matrix is estimated by clustering SSPs with a density clustering algorithm. Finally, the transformer acoustic signal is separated from the mixed acoustic signals based on the compressed sensing theory. The results of the simulation and experiment show that the proposed method can separate the transformer acoustic signal from the mixed acoustic signals in the case of underdetermination. Compared with the existing denoising methods of the transformer acoustic signal, the denoising results of the proposed method have less error and distortion. It will provide important data support for the acoustics-based power transformer fault diagnosis. Full article
(This article belongs to the Special Issue Emerging Modeling and Optimization Techniques for Low-Carbon Integrated Energy Systems)
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14 pages, 1662 KiB  
Article
Low Carbon Economic Dispatch Optimization of Regional Integrated Energy Systems Considering Heating Network and P2G
by Zhao Luo, Jinghui Wang, Ni Xiao, Linyan Yang, Weijie Zhao, Jialu Geng, Tao Lu, Mengshun Luo and Chenming Dong
Energies 2022, 15(15), 5494; https://0-doi-org.brum.beds.ac.uk/10.3390/en15155494 - 29 Jul 2022
Cited by 12 | Viewed by 1558
Abstract
Against a background of the energy internet and low-carbon electricity, regional integrated energy system (RIES) has become a key way to achieve sustainable energy development, leading to reduced operating costs and system carbon emissions, and improved system operating efficiency. This paper puts forward [...] Read more.
Against a background of the energy internet and low-carbon electricity, regional integrated energy system (RIES) has become a key way to achieve sustainable energy development, leading to reduced operating costs and system carbon emissions, and improved system operating efficiency. This paper puts forward a low-carbon economic dispatching optimization method for RIES with a heating network and power-to-gas (P2G). First, the heating network model and the mathematical model of P2G were constructed. Second, the carbon trading mechanism was introduced, the objective function being: to minimize the sum of the system operating cost and carbon trading cost; and ensure that the balance of cooling, heating, electric power, and the operating constraints—of RIES and the heating network—were comprehensively considered. Finally, the CPLEX optimization software simulation was used. The results show that the proposed method can take into account both low-carbon and economic factors, and can provide a reference for RIES low-carbon economic dispatch. Full article
(This article belongs to the Special Issue Emerging Modeling and Optimization Techniques for Low-Carbon Integrated Energy Systems)
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