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Key Technologies of Renewable Energy Consumption and Optimal Operation under

Submission Deadline: 20 November 2023 (closed)

Guest Editors

Bo Yang, Kunming University of Science and Technology, China. Email: yangbo_ac@outlook.com
Chao Duan, Northwestern University, The United States. Email: chao.duan@northwestern.edu
Yaxing Ren, Warwick University, The United Kingdom. Email: yaxing.ren@warwick.ac.uk
Yixuan Chen, The University of Hong Kong, China. Email: yxchen_diana@foxmail.com
Jingbo Wang, Kunming University of Science and Technology, China. Email: JingboWang96@outlook.com

Summary

Based on "dual carbon targets", This Special Issue aims to give an effective contribution to highlight all solutions, methodologies, approaches, tools finalized to collect first-class research along this direction, focusing on the most recent investigations and studies on consumption and optimization strategies for renewable energy. Researchers and experts worldwide are invited to submit high-quality original research papers and review articles on subsequent potential topics.

Potential topics aims at covering themes including, but not limited to:

• Modelling and simulation of renewable energy system (Digital twin technique is popular)

• Output forecast for renewable energy system

• Application of optimization techniques such as meta-heuristic algorithms, reinforcement learning, and neural networks to renewable energy systems and grids

• Planning and dispatching of distributed power supply

• Fault diagnosis of renewable energy system, i.e., Wind, solar, fuel cells, and so on.

• Approaches for optimized economic operation of renewable energy systems and grids

• Stability and security analysis of renewable energy systems and grids

Keywords

Dual carbon targets, Renewable energy, Economic and efficient operation, System modelling, Planning and dispatching, Fault diagnosis, Power and load forecast

Published Papers

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Open Access

ARTICLE

Intelligent Power Grid Load Transferring Based on Safe Action-Correction Reinforcement Learning
Fuju Zhou, Li Li, Tengfei Jia, Yongchang Yin, Aixiang Shi, Shengrong Xu
Energy Engineering, DOI:10.32604/ee.2024.047680
（This article belongs to this Special Issue: Key Technologies of Renewable Energy Consumption and Optimal Operation under )
Abstract When a line failure occurs in a power grid, a load transfer is implemented to reconfigure the network by changing the states of tie-switches and load demands. Computation speed is one of the major performance indicators in power grid load transfer, as a fast load transfer model can greatly reduce the economic loss of post-fault power grids. In this study, a reinforcement learning method is developed based on a deep deterministic policy gradient. The tedious training process of the reinforcement learning model can be conducted offline, so the model shows satisfactory performance in real-time operation, indicating that it is suitable… More >

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ARTICLE

Dynamic Economic Scheduling with Self-Adaptive Uncertainty in Distribution Network Based on Deep Reinforcement Learning
Guanfu Wang, Yudie Sun, Jinling Li, Yu Jiang, Chunhui Li, Huanan Yu, He Wang, Shiqiang Li
Energy Engineering, DOI:10.32604/ee.2024.047794
（This article belongs to this Special Issue: Key Technologies of Renewable Energy Consumption and Optimal Operation under )
Abstract Traditional optimal scheduling methods are limited to accurate physical models and parameter settings, which are difficult to adapt to the uncertainty of source and load, and there are problems such as the inability to make dynamic decisions continuously. This paper proposed a dynamic economic scheduling method for distribution networks based on deep reinforcement learning. Firstly, the economic scheduling model of the new energy distribution network is established considering the action characteristics of micro-gas turbines, and the dynamic scheduling model based on deep reinforcement learning is constructed for the new energy distribution network system with a high proportion of new energy,… More >

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ARTICLE

Optimal Configuration of Fault Location Measurement Points in DC Distribution Networks Based on Improved Particle Swarm Optimization Algorithm
Huanan Yu, Hangyu Li, He Wang, Shiqiang Li
Energy Engineering, DOI:10.32604/ee.2024.046936
（This article belongs to this Special Issue: Key Technologies of Renewable Energy Consumption and Optimal Operation under )
Abstract The escalating deployment of distributed power sources and random loads in DC distribution networks has amplified the potential consequences of faults if left uncontrolled. To expedite the process of achieving an optimal configuration of measurement points, this paper presents an optimal configuration scheme for fault location measurement points in DC distribution networks based on an improved particle swarm optimization algorithm. Initially, a measurement point distribution optimization model is formulated, leveraging compressive sensing. The model aims to achieve the minimum number of measurement points while attaining the best compressive sensing reconstruction effect. It incorporates constraints from the compressive sensing algorithm and… More >

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ARTICLE

Investigating Load Regulation Characteristics of a Wind-PV-Coal Storage Multi-Power Generation System
Zhongping Liu, Enhui Sun, Jiahao Shi, Lei Zhang, Qi Wang, Jiali Dong
Energy Engineering, Vol.121, No.4, pp. 913-932, 2024, DOI:10.32604/ee.2023.043973
（This article belongs to this Special Issue: Key Technologies of Renewable Energy Consumption and Optimal Operation under )
Abstract There is a growing need to explore the potential of coal-fired power plants (CFPPs) to enhance the utilization rate of wind power (wind) and photovoltaic power (PV) in the green energy field. This study developed a load regulation model for a multi-power generation system comprising wind, PV, and coal energy storage using real-world data. The power supply process was divided into eight fundamental load regulation scenarios, elucidating the influence of each scenario on load regulation. Within the framework of the multi-power generation system with the wind (50 MW) and PV (50 MW) alongside a CFPP (330 MW), a lithium-iron phosphate… More >
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ARTICLE

Research on the Stability Analysis Method of DC Microgrid Based on Bifurcation and Strobe Theory
Wei Chen, Nan Qiu, Xusheng Yang
Energy Engineering, Vol.121, No.4, pp. 987-1005, 2024, DOI:10.32604/ee.2023.045475
（This article belongs to this Special Issue: Key Technologies of Renewable Energy Consumption and Optimal Operation under )
Abstract During the operation of a DC microgrid, the nonlinearity and low damping characteristics of the DC bus make it prone to oscillatory instability. In this paper, we first establish a discrete nonlinear system dynamic model of a DC microgrid, study the effects of the converter sag coefficient, input voltage, and load resistance on the microgrid stability, and reveal the oscillation mechanism of a DC microgrid caused by a single source. Then, a DC microgrid stability analysis method based on the combination of bifurcation and strobe is used to analyze how the aforementioned parameters influence the oscillation characteristics of the system.… More >

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ARTICLE

Low-Carbon Dispatch of an Integrated Energy System Considering Confidence Intervals for Renewable Energy Generation
Yan Shi, Wenjie Li, Gongbo Fan, Luxi Zhang, Fengjiu Yang
Energy Engineering, Vol.121, No.2, pp. 461-482, 2024, DOI:10.32604/ee.2023.043835
（This article belongs to this Special Issue: Key Technologies of Renewable Energy Consumption and Optimal Operation under )
Abstract Addressing the insufficiency in down-regulation leeway within integrated energy systems stemming from the erratic and volatile nature of wind and solar renewable energy generation, this study focuses on formulating a coordinated strategy involving the carbon capture unit of the integrated energy system and the resources on the load storage side. A scheduling model is devised that takes into account the confidence interval associated with renewable energy generation, with the overarching goal of optimizing the system for low-carbon operation. To begin with, an in-depth analysis is conducted on the temporal energy-shifting attributes and the low-carbon modulation mechanisms exhibited by the source-side… More >

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ARTICLE

Optimal Location and Sizing of Multi-Resource Distributed Generator Based on Multi-Objective Artificial Bee Colony Algorithm
Qiangfei Cao, Huilai Wang, Zijia Hui, Lingyun Chen
Energy Engineering, Vol.121, No.2, pp. 499-521, 2024, DOI:10.32604/ee.2023.042702
（This article belongs to this Special Issue: Key Technologies of Renewable Energy Consumption and Optimal Operation under )
Abstract Distribution generation (DG) technology based on a variety of renewable energy technologies has developed rapidly. A large number of multi-type DG are connected to the distribution network (DN), resulting in a decline in the stability of DN operation. It is urgent to find a method that can effectively connect multi-energy DG to DN. photovoltaic (PV), wind power generation (WPG), fuel cell (FC), and micro gas turbine (MGT) are considered in this paper. A multi-objective optimization model was established based on the life cycle cost (LCC) of DG, voltage quality, voltage fluctuation, system network loss, power deviation of the tie-line, DG… More >

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ARTICLE

Application of DSAPSO Algorithm in Distribution Network Reconfiguration with Distributed Generation
Caixia Tao, Shize Yang, Taiguo Li
Energy Engineering, Vol.121, No.1, pp. 187-201, 2024, DOI:10.32604/ee.2023.042421
（This article belongs to this Special Issue: Key Technologies of Renewable Energy Consumption and Optimal Operation under )
Abstract With the current integration of distributed energy resources into the grid, the structure of distribution networks is becoming more complex. This complexity significantly expands the solution space in the optimization process for network reconstruction using intelligent algorithms. Consequently, traditional intelligent algorithms frequently encounter insufficient search accuracy and become trapped in local optima. To tackle this issue, a more advanced particle swarm optimization algorithm is proposed. To address the varying emphases at different stages of the optimization process, a dynamic strategy is implemented to regulate the social and self-learning factors. The Metropolis criterion is introduced into the simulated annealing algorithm to… More >

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ARTICLE

Electricity-Carbon Interactive Optimal Dispatch of Multi-Virtual Power Plant Considering Integrated Demand Response
Shiwei Su, Guangyong Hu, Xianghua Li, Xin Li, Wei Xiong
Energy Engineering, Vol.120, No.10, pp. 2343-2368, 2023, DOI:10.32604/ee.2023.028500
（This article belongs to this Special Issue: Key Technologies of Renewable Energy Consumption and Optimal Operation under )
Abstract As new power systems and dual carbon policies develop, virtual power plant cluster (VPPC) provides another reliable way to promote the efficient utilization of energy and solve environmental pollution problems. To solve the coordinated optimal operation and low-carbon economic operation problem in multi-virtual power plant, a multi-virtual power plant (VPP) electricity-carbon interaction optimal scheduling model considering integrated demand response (IDR) is proposed. Firstly, a multi-VPP electricity-carbon interaction framework is established. The interaction of electric energy and carbon quotas can realize energy complementarity, reduce energy waste and promote low-carbon operation. Secondly, in order to coordinate the multiple types of energy and… More >
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ARTICLE

A Techno-Economical Characterization of Solar PV Power Generation in Rwanda: The Role of Subsidies and Incentives
Morris Kayitare, Gace Athanase Dalson, Al-Mas Sendegeyad
Energy Engineering, Vol.120, No.9, pp. 2155-2175, 2023, DOI:10.32604/ee.2023.028559
（This article belongs to this Special Issue: Key Technologies of Renewable Energy Consumption and Optimal Operation under )
Abstract Standalone Solar PV systems have been vital in the improvement of access to energy in many countries. However, given the large cost of solar PV plants’ components, in developing countries, there is a dear need for such components to be subsidised and incentivised for the consumers to afford the produced energy. Moreover, there is a need for optimal sizing of the solar PV plants taking into account the solar information, energy requirement for various activities, and economic conditions in the off-grid regions in Rwanda. This study aims to develop optimally sized solar PV plants suited to rural communities in Rwanda.… More >
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ARTICLE

Research on Operation Optimization of Heating System Based on Electric Storage Coupled Solar Energy and Air Source Heat Pump
Jingxiao Han, Chuanzhao Zhang, Lu Wang, Zengjun Chang, Qing Zhao, Ying Shi, Jiarui Wu, Xiangfei Kong
Energy Engineering, Vol.120, No.9, pp. 1991-2011, 2023, DOI:10.32604/ee.2023.029749
（This article belongs to this Special Issue: Key Technologies of Renewable Energy Consumption and Optimal Operation under )
Abstract For heating systems based on electricity storage coupled with solar energy and an air source heat pump (ECSA), choosing the appropriate combination of heat sources according to local conditions is the key to improving economic efficiency. In this paper, four cities in three climatic regions in China were selected, namely Nanjing in the hot summer and cold winter region, Tianjin in the cold region, Shenyang and Harbin in the severe cold winter region. The levelized cost of heat (LCOH) was used as the economic evaluation index, and the energy consumption and emissions of different pollutants were analyzed. TRNSYS software was… More >
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ARTICLE

Distributed Robust Optimal Dispatch for the Microgrid Considering Output Correlation between Wind and Photovoltaic
Ming Li, Cairen Furifu, Chengyang Ge, Yunping Zheng, Shunfu Lin, Ronghui Liu
Energy Engineering, Vol.120, No.8, pp. 1775-1801, 2023, DOI:10.32604/ee.2023.027215
（This article belongs to this Special Issue: Key Technologies of Renewable Energy Consumption and Optimal Operation under )
Abstract As an effective carrier of integrated clean energy, the microgrid has attracted wide attention. The randomness of renewable energies such as wind and solar power output brings a significant cost and impact on the economics and reliability of microgrids. This paper proposes an optimization scheme based on the distributionally robust optimization (DRO) model for a microgrid considering solar-wind correlation. Firstly, scenarios of wind and solar power output scenarios are generated based on non-parametric kernel density estimation and the Frank-Copula function; then the generated scenario results are reduced by K-means clustering; finally, the probability confidence interval of scenario distribution is constrained… More >

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ARTICLE

Analysis and Economic Evaluation of Hourly Operation Strategy Based on MSW Classification and LNG Multi-Generation System
Xueqing Lu, Yuetao Shi, Jinsong Li
Energy Engineering, Vol.120, No.6, pp. 1325-1352, 2023, DOI:10.32604/ee.2023.026142
（This article belongs to this Special Issue: Key Technologies of Renewable Energy Consumption and Optimal Operation under )
Abstract In this study, a model of combined cooling, heating and power system with municipal solid waste (MSW) and liquefied natural gas (LNG) as energy sources was proposed and developed based on the energy demand of a large community, and MSW was classified and utilized. The system operated by determining power by heating load, and measures were taken to reduce operating costs by purchasing and selling LNG, natural gas (NG), cooling, heating, and power. Based on this system model, three operation strategies were proposed based on whether MSW was classified and the length of kitchen waste fermentation time, and each strategy… More >
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ARTICLE

Research on Virtual DC Generator-Based Control Strategy of DC Microgrid with Photovoltaic and Energy Storage
Feng Zhao, Chengrui Xiao, Xiaoqiang Chen, Ying Wang
Energy Engineering, Vol.120, No.6, pp. 1353-1370, 2023, DOI:10.32604/ee.2023.025976
（This article belongs to this Special Issue: Key Technologies of Renewable Energy Consumption and Optimal Operation under )
Abstract With the penetration of a large number of photovoltaic power generation units and power electronic converters, the DC microgrid shows low inertia characteristics, which might affect the stable operation of the microgrid in extreme cases. In order to enhance the “flexible features” of the interface converter connected to the DC bus, a control strategy of DC microgrid with photovoltaic and energy storage based on the virtual DC generator (VDCG) is proposed in this paper. The interface converters of the photovoltaic power generation system and the energy storage system simulates the inertia and damping characteristics of the DC generator to improve… More >

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ARTICLE

Optimization of Electricity Purchase and Sales Strategies of Electricity Retailers under the Condition of Limited Clean Energy Consumption
Peng Liao, Hanlin Liu, Yingjie Wang, Neng Liao
Energy Engineering, Vol.120, No.3, pp. 701-714, 2023, DOI:10.32604/ee.2022.024301
（This article belongs to this Special Issue: Key Technologies of Renewable Energy Consumption and Optimal Operation under )
Abstract In the process of my country’s energy transition, the clean energy of hydropower, wind power and photovoltaic power generation has ushered in great development, but due to the randomness and volatility of its output, it has caused a certain waste of clean energy power generation resources. Regarding the purchase and sale of electricity by electricity retailers under the condition of limited clean energy consumption, this paper establishes a quantitative model of clean energy restricted electricity from the perspective of power system supply and demand balance. Then it analyzes the source-charge dual uncertain factors in the electricity retailer purchasing and selling… More >
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ARTICLE

Energy Loss Analysis of Distributed Rooftop Photovoltaics in Industrial Parks
Yu Xiao, Kai Li, Hongqiao Huang, Haibo Tan, Hua Li
Energy Engineering, Vol.120, No.2, pp. 511-527, 2023, DOI:10.32604/ee.2023.022750
（This article belongs to this Special Issue: Key Technologies of Renewable Energy Consumption and Optimal Operation under )
Abstract The analysis of the loss of distributed photovoltaic power generation systems involves the interests of energy users, energy-saving service companies, and power grid companies, so it has always been the focus of the industry and society in some manner or another. However, the related analysis for an actual case that considers different cooperative corporations’ benefits is lacking in the presently available literature. This paper takes the distributed rooftop photovoltaic power generation project in an industrial park as the object, studies the analysis and calculation methods of line loss and transformer loss, analyzes the change of transformer loss under different temperatures… More >

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EDITORIAL

Key Optimization Issues for Renewable Energy Systems under Carbon-Peaking and Carbon Neutrality Targets: Current States and Perspectives
Bo Yang, Zhengxun Guo, Jingbo Wang, Chao Duan, Yaxing Ren, Yixuan Chen
Energy Engineering, Vol.119, No.5, pp. 1789-1795, 2022, DOI:10.32604/ee.2022.022217
（This article belongs to this Special Issue: Key Technologies of Renewable Energy Consumption and Optimal Operation under )
Abstract This article has no abstract. More >

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ARTICLE

Kalman-Filtering-Based Frequency Control Strategy Considering Electrolytic Aluminum Load
Yuqin Chen, Shihai Yang, Yueping Kong, Mingming Chen
Energy Engineering, Vol.119, No.4, pp. 1517-1529, 2022, DOI:10.32604/ee.2022.019646
（This article belongs to this Special Issue: Key Technologies of Renewable Energy Consumption and Optimal Operation under )
Abstract Traditional thermal power units are continuously replaced by renewable energies, of which fluctuations and intermittence impose pressure on the frequency stability of the power system. Electrolytic aluminum load (EAL) accounts for large amount of the local electric loads in some areas. The participation of EAL in local frequency control has huge application prospects. However, the controller design of EAL is difficult due to the measurement noise of the system frequency and the nonlinear dynamics of the EAL’s electric power consumption. Focusing on this problem, this paper proposes a control strategy for EAL to participate in the frequency control. For the… More >

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ARTICLE

A Novel Aquila Optimizer Based PV Array Reconfiguration Scheme to Generate Maximum Energy under Partial Shading Condition
Dong An, Junqing Jia, Wenchao Cai, Deyu Yang, Chao Lv, Jiawei Zhu, Yingying Jiao
Energy Engineering, Vol.119, No.4, pp. 1531-1545, 2022, DOI:10.32604/ee.2022.019284
（This article belongs to this Special Issue: Key Technologies of Renewable Energy Consumption and Optimal Operation under )
Abstract This paper develops a real-time PV arrays maximum power harvesting scheme under partial shading condition (PSC) by reconfiguring PV arrays using Aquila optimizer (AO). AO is based on the natural behaviors of Aquila in capturing prey, which can choose the best hunting mechanism ingeniously and quickly by balancing the local exploitation and global exploration via four hunting methods of Aquila: choosing the searching area through high soar with the vertical stoop, exploring in different searching spaces through contour flight with quick glide attack, exploiting in convergence searching space through low flight with slow attack, and swooping through walk and grabbing… More >
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Key Technologies of Renewable Energy Consumption and Optimal Operation under

Guest Editors

Summary

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188

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494

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228

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212

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274

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371

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1

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423

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716

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298

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646

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771

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532

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659

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713

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729

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1225

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