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Review of the Configuration and Transient Stability of Large-scale Renewable Energy generation through Hybrid DC Transmission

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CES Transactions on electrical Machines and Systems 2024年第2期8卷 115-126页

作者： Xinshou Tian Yongning Chi Longxue Li Hongzhi Liu Institute of Energy power Innovation North China Electric Power UniversityBeijing 102206China China electric power Research Institute No.15Xiaoying East RoadQingheHaidian DistrictBeijing 100192China.

Based on the complementary advantages of Line Commutated Converter(LCC)and Modular Multilevel Converter(MMC)in power grid applications,there are two types of hybrid DC system topologies:one is the parallel connection of LCC converter stations and MMC converter stations,and the other is the series connection of LCC and MMC converter stations within a single *** hybrid DC transmission system faces broad application prospects and development potential in large-scale clean energy integration across regions and the construction of a new power system dominated by new energy sources in *** paper first analyzes the system forms and topological characteristics of hybrid DC transmission,introducing the forms and topological characteristics of converter-level hybrid DC transmission systems and system-level hybrid DC transmission ***,it analyzes the operating characteristics of LCC and MMC inverter-level hybrid DC transmission systems,provides insights into the transient stability of hybrid DC transmission systems,and typical fault ride-through control ***,it summarizes the networking characteristics of the LCC-MMC series within the converter station hybrid DC transmission system,studies the transient characteristics and fault ridethrough control strategies under different fault types for the LCC-MMC series in the receiving-end converter station,and investigates the transient characteristics and fault ride-through control strategies under different fault types for the LCC-MMC series in the sending-end converter station.

关键词： Hybrid DC transmission Transient stability Configuration Control system

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Short-term Residential Load Forecasting Based on K-shape Clustering and Domain Adversarial Transfer Network

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Journal of Modern power Systems and Clean Energy 2024年第4期12卷 1239-1249页

作者： Jizhong Zhu Yuwang Miao Hanjiang Dong Shenglin Li Ziyu Chen Di Zhang School of electric power Engineering South China University of TechnologyGuangzhou 510641China department of electrical Engineering The Hong Kong Polytechnic UniversityHong KongChina

In recent years,the expansion of the power grid has led to a continuous increase in the number of consumers within the distribution ***,due to the scarcity of historical data for these new consumers,it has become a com-plex challenge to accurately forecast their electricity demands through traditional forecasting *** paper proposes an innovative short-term residential load forecasting method that harnesses advanced clustering,deep learning,and transfer learning technologies to address this *** begin,this paper leverages the domain adversarial transfer *** employs limited data as target domain data and more abundant data as source domain data,thus enabling the utilization of source do-main insights for the forecasting task of the target ***,a K-shape clustering method is proposed,which effec-tively identifies source domain data that align optimally with the target domain,and enhances the forecasting ***-sequently,a composite architecture is devised,amalgamating at-tention mechanism,long short-term memory network,and seq2seq *** composite structure is integrated into the domain adversarial transfer network,bolstering the perfor-mance of feature extractor and refining the forecasting *** illustrative analysis is conducted using the residential load dataset of the Independent System Operator to validate the proposed method *** the case study,the relative mean square error of the proposed method is within 30 MW,and the mean absolute percentage error is within 2%.A signifi-cant improvement in accuracy,compared with other compara-tive experimental results,underscores the reliability of the pro-posed *** findings unequivocally demonstrate that the proposed method advocated in this paper yields superior fore-casting results compared with prevailing mainstream forecast-ing methods.

关键词： Load forecasting domain adversarial K-shape clustering long short-term memory network seq2seq network attention mechanism

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Discovering Cathodic Biocompatibility for Aqueous Zn–MnO_(2) Battery:An Integrating Biomass Carbon Strategy

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Nano-Micro Letters 2024年第6期16卷 111-126页

作者： Wei Lv Zilei Shen Xudong Li Jingwen Meng Weijie Yang Fang Ding Xing Ju Feng Ye Yiming Li Xuefeng Lyu Miaomiao Wang Yonglan Tian Chao Xu Institute of Energy power Innovation North China Electric Power UniversityBeijing 102206People’s Republic of China department of power Engineering School of EnergyPower and Mechanical EngineeringNorth China Electric Power UniversityBaoding 071003People’s Republic of China Key Laboratory of RNA Biology Institute of BiophysicsChinese Academy of SciencesBeijing 100101People’s Republic of China Collaborative Innovation Center of Integrated Exploitation of Bayan Obo Multi‑Metal Resources Inner Mongolia University of Science and TechnologyBaotou 014010People’s Republic of China

Developing high-performance aqueous Zn-ion batteries from sustainable biomass becomes increasingly vital for large-scale energy storage in the foreseeable ***,γ-MnO_(2) uniformly loaded on N-doped carbon derived from grapefruit peel is successfully fabricated in this work,and particularly the composite cathode with carbon carrier quality percentage of 20 wt%delivers the specific capacity of 391.2 mAh g^(−1)at 0.1 A g^(−1),outstanding cyclic stability of 92.17%after 3000 cycles at 5 A g^(−1),and remarkable energy density of 553.12 Wh kg^(−1) together with superior coulombic efficiency of~100%.Additionally,the cathodic biosafety is further explored specifically through in vitro cell toxicity experiments,which verifies its tremendous potential in the application of clinical ***,Zinc ion energy storage mechanism of the cathode is mainly discussed from the aspects of Jahn–Teller effect and Mn domains distribution combined with theoretical analysis and experimental ***,a novel perspective of the conversion from biomass waste to biocompatible Mn-based cathode is successfully developed.

关键词： Aqueous Zn-ion batteries Biocompatibility Jahn-Teller effect Mn domains γ-MnO_(2)

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Low-Carbon Dispatch of an Integrated Energy System Considering Confidence Intervals for Renewable Energy generation

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Energy Engineering 2024年第2期121卷 461-482页

作者： Yan Shi Wenjie Li Gongbo Fan Luxi Zhang Fengjiu Yang power Supply Service Supervision and Support Center East Inner Mongolia Electric Power Co.Ltd.Tongliao028000China School of electrical and Electronic Engineering North China Electric Power UniversityBeijing102206China

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 *** 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 carbon capture power plant within the context of integrated and adaptable operational *** from this analysis,a model is devised to represent the adjustable resources on the charge-storage side,predicated on the principles of electro-thermal coupling within the energy ***,the dissimilarities in the confidence intervals of renewable energy generation are considered,leading to the proposition of a flexible upper threshold for the confidence *** on this,a low-carbon dispatch model is established for the integrated energy system,factoring in the margin allowed by the adjustable *** the final phase,a simulation is performed on a regional electric heating integrated energy *** simulation seeks to assess the impact of source-load-storage coordination on the system’s low-carbon operation across various scenarios of reduction margin *** findings underscore that the proactive scheduling model incorporating confidence interval considerations for reduction margin reserves effectively mitigates the uncertainties tied to renewable energy *** harmonized orchestration of source,load,and storage elements,it expands the utilization scope for renewable energy,safeguards the economic efficiency of system operati

关键词： Integrated energy system carbon capture power plant confidence interval optimized scheduling

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Inverse-time Backup Protection Based on Unified Characteristic Equation for Distribution Networks with High Proportion of Distributed generations

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Journal of Modern power Systems and Clean Energy 2024年第1期12卷 202-212页

作者： Nana Chang Guobing Song Zhongxue Chang Yuping Zheng Xingang Yang the School of electrical Engineering Xi’an Jiaotong UniversityXi’anChina State Key Laboratory of Smart Grid Protection and Control NARI Group CorporationNanjingChina electric power Research Institute of State Grid Shanghai electric power Company ShanghaiChina

The setting work of backup protection using steady-state current is tedious,and mismatches occasionally occur due to the increased proportion of distributed generations(DGs)connected to the power ***,there is a practical need to study a backup protection technology that does not require step-by-step setting and can be adaptively *** paper proposes an action sequence adaptive to fault positions that uses only positive sequence fault component(PSFC)*** the influence of DGs,the unified time dial setting can be obtained by selecting specific *** protection performance is improved by using the adjacent upstream and downstream protections to meet the coordination time interval in the case of metallic faults at the near-and far-ends of the ***,the expression and implementation scheme for inverse-time backup protection(ITBP)based on the unified characteristic equation is *** results show that this scheme can adapt to DG penetration scenarios and can realize the adaptive coordination of multi-level relays.

关键词： Inverse-time backup protection(ITBP) distributed generation(DG) positive sequence fault component(PSFC)voltage unified characteristic equation adaptive coordination

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A Novel Defender-Attacker-Defender Model for Resilient Distributed Generator Planning with Network Reconfiguration and Demand Response

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Energy Engineering 2024年第5期121卷 1223-1243页

作者： Wenlu Ji Teng Tu Nan Ma Nanjing power Supply Company State Grid Jiangsu Electric Power Co.Ltd.Nanjing210019China

To improve the resilience of a distribution system against extreme weather,a fuel-based distributed generator(DG)allocation model is proposed in this *** this model,the DGs are placed at the planning *** an extreme event occurs,the controllable generators form temporary microgrids(MGs)to restore the load ***,a demand response program(DRP)mitigates the imbalance between the power supply and demand during extreme *** cope with the fault uncertainty,a robust optimization(RO)method is applied to reduce the long-term investment and short-term operation *** optimization is formulated as a tri-level defenderattacker-defender(DAD)*** the first level,decision-makers work out the DG allocation scheme;at the second level,the attacker finds the optimal attack strategy with maximum damage;and at the third level,restoration measures,namely distribution network reconfiguration(DNR)and demand response are *** problem is solved by the nested column and constraint generation(NC&CG)method and the model is validated using an IEEE 33-node *** studies validate the effectiveness and superiority of the proposed model according to the enhanced resilience and reduced cost.

关键词： Distribution system resilience defender-attacker-defender distributed generator demand response microgrids formation

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Parallel Computing Based Solution for Reliability-constrained Distribution Network Planning

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Journal of Modern power Systems and Clean Energy 2024年第4期12卷 1147-1158页

作者： Yaqi Sun Wenchuan Wu Yi Lin Hai Huang Hao Chen State Key Laboratory of power Systems Department of Electrical EngineeringTsinghua UniversityBeijing 100084China Sichuan Energy Internet Research Institute Tsinghua UniversityChengduChina State Grid Fujian electric power Co.Ltd. FuzhouChina

The main goal of distribution network(DN)expan-sion planning is essentially to achieve minimal investment con-strained by specified reliability *** reliability-constrained distribution network planning(RcDNP)problem can be cast as an instance of mixed-integer linear programming(MILP)which involves ultra-heavy computation burden espe-cially for large-scale *** this paper,we propose a parallel computing based solution method for the RcDNP *** RcDNP is decomposed into a backbone grid and several lateral grid problems with ***,a parallelizable aug-mented Lagrangian algorithm with acceleration method is devel-oped to solve the coordination planning *** lateral grid problems are solved in parallel through coordinating with the backbone grid planning ***-Seidel iteration is adopted on the subset of the convex hull of the feasible region constructed by *** mild conditions,the opti-mality and convergence of the proposed method are *** tests show that the proposed method can significant-ly reduce the solution time and make the RcDNP applicable for real-worldproblems.

关键词： Distribution network expansion planning reliability parallel computing

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Collaborative robust dispatch of electricity and carbon under carbon allowance trading market

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Global Energy Interconnection 2024年第4期7卷 391-401页

作者： Songyu Wu Xiaoyan Qi Xiang Li Xuanyu Liu Bolin Tong Feiyu Zhang Zhong Zhang electric power Research Institute of State Grid Liaoning electric power Co. Shenyang 110006P.R.China School of electrical Engineering Dalian University of TechnologyDalian 116024P.R.China

The launch of the carbon-allowance trading market has changed the cost structure of the power *** is an asynchronous coupling mechanism between the carbon-allowance-trading market and the day-ahead power-system *** this study,a data-driven model of the uncertainty in the annual carbon price was ***,a collaborative,robust dispatch model was constructed considering the annual uncertainty of the carbon price and the daily uncertainty of renewable-energy *** model is solved using the column-and-constraint generation *** operation and cost model of a carbon-capture power plant(CCPP)that couples the carbon market and the economic operation of the power system is also *** critical,profitable conditions for the economic operation of the CCPP were *** studies demonstrated that the proposed low-carbon,robust dispatch model reduced carbon emissions by 2.67%compared with the traditional,economic,dispatch *** total fuel cost of generation decreases with decreasing,conservative,carbon-price-uncertainty levels,while total carbon emissions continue to *** the carbon-quota coefficient decreases,the system dispatch tends to increase low-carbon unit *** study can provide important guidance for carbon-market design and the low-carbon-dispatch selection strategies.

关键词： Asynchronous coupling mechanism Collaborative robust optimization Carbon price uncertainty Carbon capture power plant Low carbon dispatch

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Hierarchical Game Approach for Optimization of Regional Integrated Energy System Clusters Considering Bounded Rationality

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CSEE Journal of power and Energy Systems 2024年第1期10卷 302-313页

作者： Lei Dong Mengting Li Junjie Hu Sheng Chen Tao Zhang Xinying Wang Tianjiao Pu school of electrical and Electronic Engineering North China Electric Power UniversityBeijing 102206China department of Artificial Intelligence Application Research China Electric Power Research InstituteBeijing 100192China Key Laboratory of Smart Grid of Ministry of Education Key Laboratory of Smart Energy&Information Technology of Tianjin MunicipalityTianjin UniversityTianjin 300072China

Regional integrated energy system(RIES)cluster,i.e.,multi-source integration and multi-region coordination,is an effective approach for increasing energy utilization *** hierarchical architecture and limited information sharing of RIES cluster make it difficult for traditional game theory to accurately describe their game ***,a hierarchical game approach considering bounded rationality is proposed in this paper to balance the interests of optimizing RIES cluster under privacy protection.A Stackelberg game with the cluster operator(CO)as the leader and multiple RIES as followers is developed to simultaneously optimize leader benefit and RIES utilization ***,a slight altruistic function is introduced to simulate the game behavior of each RIES agent on whether to cooperate or *** introducing an evolutionary game based on bounded rationality in the lower layer,the flaw of the assumption that participants are completely rational can be ***,for autonomous optimal dispatching,each RIES is treated as a prosumer,fexibly switching its market participation role to achieve cluster coordination *** studies on a RIES cluster verify effectiveness of the proposed approach.

关键词： Bounded rationality coordinated optimization evolutionary game regionaIilntegrated energysystem stackelberg game

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Short-Term Prediction of Photovoltaic power Based on DBSCAN-SVM Data Cleaning and PSO-LSTM Model

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Energy Engineering 2024年第10期121卷 3019-3035页

作者： Yujin Liu Zhenkai Zhang Li Ma Yan Jia Weihua Yin Zhifeng Liu School of Energy and power Engineering Inner Mongolia University of TechnologyHohhot010051China Key Laboratory ofWind Energy and Solar Energy Utilization Technology Ministry of EducationHohhot010051China Production Management department Inner Mongolia Energy Power Generation Investment Group Co.Ltd.Hohhot010051China

Accurate short-termphotovoltaic(PV)power prediction helps to improve the economic efficiency of power stations and is of great significance to the arrangement of grid scheduling *** order to improve the accuracy of PV power prediction further,this paper proposes a data cleaning method combining density clustering and support vector *** constructs a short-termPVpower predictionmodel based on particle swarmoptimization(PSO)optimized Long Short-Term Memory(LSTM)***,the input features are determined using Pearson’s correlation *** feature information is clustered using density-based spatial clustering of applications withnoise(DBSCAN),and then,the data in each cluster is cleanedusing support vectormachines(SVM).Secondly,the PSO is used to optimize the hyperparameters of the LSTM network to obtain the optimal network ***,different power prediction models are established,and the PV power generation prediction results are *** results show that the data methods used are effective and that the PSO-LSTM power prediction model based on DBSCAN-SVM data cleaning outperforms existing typical methods,especially under non-sunny days,and that the model effectively improves the accuracy of short-term PV power prediction.

关键词： Photovoltaic power prediction LSTM network DBSCAN-SVM PSO deep learning

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