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Clean Energy 2024年第1期8卷 226-236页

作者： Huang Shuyi Zou Xuetong Liang Huaguang Chen Jie Shenzhen power supply bureau China Southern Power GridShenzhen 518048China

The multi-energy complementary ecosystem is an important form of the modern energy ***,standardized evaluation criteria and the corresponding method framework have not yet been formed,resulting in unclear standards and irregular processes of its *** cope with this issue,a novel comprehensive evaluation framework for multi-energy complementary ecosystems is proposed in this ***,a 5D comprehensive evaluation criteria system,including environment,economy,technology,safety and systematicness,is ***,a novel multicriteria decision-making model integrating an analytic network process,entropy and preference-ranking organization method for enrichment evaluation under an intuitional fuzzy environment is ***,four practical cases are used for model testing and empirical *** results of the research show that the unit cost of the energy supply and the internal rate of return indexes have the highest weights of 0.142 and 0.010,*** means that they are the focus in the construction of a multi-energy complementary *** net flows of four cases are 0.015,0.123,-0.132 and-0.005,indicating that cases with a variety of energy supply forms and using intelligent management and control platforms to achieve cold,heat and electrical coupling have more advantages.

关键词： multi-energy complementary ecosystem comprehensive evaluation intuitionistic fuzzy multicriteria decision-making

Anomaly Detection Algorithm of power System Based on Graph Structure and Anomaly Attention

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Computers, Materials & Continua 2024年第4期79卷 493-507页

作者： Yifan Gao Jieming Zhang Zhanchen Chen Xianchao Chen Zhaoqing power supply bureau of Guangdong power Grid Co. Ltd.Zhaoqing526060China

In this paper, we propose a novel anomaly detection method for data centers based on a combination of graphstructure and abnormal attention mechanism. The method leverages the sensor monitoring data from targetpower substations to construct multidimensional time series. These time series are subsequently transformed intograph structures, and corresponding adjacency matrices are obtained. By incorporating the adjacency matricesand additional weights associated with the graph structure, an aggregation matrix is derived. The aggregationmatrix is then fed into a pre-trained graph convolutional neural network (GCN) to extract graph structure ***, both themultidimensional time series segments and the graph structure features are inputted into a pretrainedanomaly detectionmodel, resulting in corresponding anomaly detection results that help identify abnormaldata. The anomaly detection model consists of a multi-level encoder-decoder module, wherein each level includesa transformer encoder and decoder based on correlation differences. The attention module in the encoding layeradopts an abnormal attention module with a dual-branch structure. Experimental results demonstrate that ourproposed method significantly improves the accuracy and stability of anomaly detection.

关键词： Anomaly detection transformer graph structure

Research on Regulation Method of Energy Storage System Based on Multi-Stage Robust Optimization

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Energy Engineering 2024年第3期121卷 807-820页

作者： Zaihe Yang Shuling Wang Runhang Zhu Jiao Cui Ji Su Liling Chen Electrical Dispatching and Control Center Yunnan Power GridKunming650011China Kunming power supply bureau Yunnan Power Grid Co.Ltd.Kunming650011China Yuxi power supply bureau Yunnan Power Grid Co.Ltd.Yuxi653100China

To address the scheduling problem involving energy storage systems and uncertain energy,we propose a method based on multi-stage robust *** approach aims to regulate the energy storage system by using a multi-stage robust optimal control method,which helps overcome the limitations of traditional methods in terms of time *** goal is to effectively utilize the energy storage power station system to address issues caused by unpredictable variations in environmental energy and fluctuating load throughout the *** achieve this,a mathematical model is constructed to represent uncertain energy sources such as photovoltaic and wind *** generalized Benders Decomposition method is then employed to solve the multi-stage objective optimization *** decomposing the problem into a series of sub-objectives,the system scale is effectively reduced,and the algorithm’s convergence ability is *** with other algorithms,the multi-stage robust optimization model has better economy and convergence ability and can be used to guide the power dispatching of uncertain energy and energy storage systems.

关键词： Multi-stage robust optimization energy storage system regulation methods output uncertainty

Stochastic Flexibility Evaluation for Virtual power Plants by Aggregating Distributed Energy Resources

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CSEE Journal of power and Energy Systems 2024年第3期10卷 988-999页

作者： Siyuan Wang Wenchuan Wu Qizhan Chen Junjie Yu Peng Wang Department of Electrical Engineering Tsinghua UniversityBeijing 100084China Zhongshan power supply bureau of the Guangdong power Grid Corporation Zhongshan 528400China Beijing Qingda Gaoke System Control Company Beijing 102208China CSEE IEEE

To manage a large amount of flexible distributed energy resources(DERs)in the distribution networks,the virtual power plant(VPP)is introduced into the *** VPP can optimally dispatch these resources in a cluster manner and provide flexibility for the power system operation as a *** existing studies formulate the equivalent power flexibility of the aggregating DERs as deterministic optimization models without considering their *** this paper,we introduce the stochastic power flexibility range(PFR)and timecoupling flexibility(TCF)to describe the power flexibility of *** this model,both operational constraints and the randomness of the DERs’output are incorporated,and a combined model and data-driven solution is proposed to obtain the stochastic PFR,TCF,and cost function of *** aggregating model can be easily incorporated into the optimization model for the power system operator or market bidding,considering ***,a numerical test is *** results show that the proposed model not only has higher computational efficiency than the scenario-based methods but also achieves more economic benefits.

关键词： Chance constrained optimization combined model and data-driven stochastic power flexibility virtual power plant

Distributed Harmonic power Sharing with Voltage Distortion Suppression in Islanded Microgrids Considering Non-linear Loads

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CSEE Journal of power and Energy Systems 2024年第1期10卷 117-128页

作者： Guannan Lou Shanlin Li Wei Gu Quan Yang School of Electrical Engineering Southeast UniversityNanjingJiangsu 210096China the Jiangsu Provincial Key Laboratory of Smart Grid Technology and Equipment Southeast University Dongguan power supply bureau of Guangdong power Grid Company Guangdong 523000China

In contemporary power grids or microgrids,harmonic distortion has emerged as one of the critical power quality issues for utility power grids,which has escalated especially due to the high penetration of power-electronic-converter-interfaced distributed generation(DG).This paper first illustrates the prevalent dispute revolving around the harmonic power sharing and distortion restraint,and subsequently proposes a consensusbased framework that facilitates an accurate sharing of harmonics among multi-DGs connected in parallel,with an effective suppression of the output voltage *** with the majority of existing studies addressing the issue of voltage harmonics at the point of common coupling(PCC),our method primarily emphasizes on the output voltage distortion since the power quality requirement for certain local critical loads is often known to be *** the help of adaptive regulation,the overall distortion produced at the output terminals of DGs can be retained within an acceptable *** working principle of the proposed control method,which is not only easy to implement but also independent of model parameters,is further described in *** the small-signal dynamic model,the system stability and robustness are *** hardware-in-the-loop(HIL)simulations aid in determining the outcome of the proposed strategy in microgrid control.

关键词： Distributed generation droop control harmonic power sharing microgrid voltage distortion mitigation

A Cascading Fault Path Prediction Method for Integrated Energy Distribution Networks Based on the Improved OPA Model under Typhoon Disasters

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Energy Engineering 2024年第10期121卷 2825-2849页

作者： Yue He YaxiongYou ZhianHe Haiying Lu Lei Chen Yuqi Jiang Hongkun Chen Guangzhou power supply bureau Guangdong Power Grid Co.Ltd.CSGGuangzhou510000China School of Electrical Engineering and Automation Wuhan UniversityWuhan430072China

In recent times,the impact of typhoon disasters on integrated energy active distribution networks(IEADNs)has received increasing attention,particularly,in terms of effective cascading fault path prediction and enhanced fault recovery *** this study,we propose a modified ORNL-PSerc-Alaska(OPA)model based on optimal power flow(OPF)calculation to forecast IEADN cascading fault *** first established the topology and operational model of the IEADNs,and the typical fault scenario was chosen according to the component fault probability and information *** modified OPA model consisted of two layers:An upper-layer model to determine the cascading fault location and a lower-layer model to calculate the OPF by using Yalmip and CPLEX and provide the data to update the upper-layer *** approach was validated via the modified IEEE 33-node distribution system and two real *** results showed that the fault trend forecasted by the novel OPA model corresponded well with the development and movement of the typhoon above the *** proposed model also increased the load recovery rate by>24%compared to the traditional OPA model.

关键词： IEADNs OPA model cascading fault path prediction fault probability optimal power flow typical fault scenario

A Compact UHF Antenna Based on Hilbert Fractal Elements and a Serpentine Arrangement for Detecting Partial Discharg

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Energy Engineering 2024年第5期121卷 1127-1141页

作者： Xiang Lin Jian Fang Ming Zhang Kuang Yin Yan Tian Yingfei Guo Qianggang Wang Guangzhou power supply bureau of Guangdong power Grid Co. Ltd.China Southern Power GridGuangzhou510620China State Key Laboratory of power Transmission Equipment Technology School of Electrical EngineeringChongqing UniversityChongqing400044China

Efforts to protect electric power systems from faults have commonly relied on the use of ultra-high frequency(UHF)antennas for detecting partial discharge(PD)as a common precursor to ***,the effectiveness of existing UHF antennas suffers from a number of challenges such as limited bandwidth,relatively large physical size,and low detection *** present study addresses these issues by proposing a compact microstrip patch antenna with fixed dimensions of 100 mm×100 mm×1.6 *** results of computations yield an optimized antenna design consisting of 2nd-order Hilbert fractal units positioned within a four-layer serpentine arrangement with a fractal unit connection distance of 3.0 ***,the optimized antenna design achieves a detection bandwidth for which the voltage standing wave ratio is less than 2 that is approximately 97.3%of the UHF frequency range(0.3–3 GHz).Finally,a prototype antenna is fabricated using standard printed circuit board technology,and the results of experiments demonstrate that the proposed antenna is capable of detecting PD signals at a distance of 8 m from the discharge source.

关键词： power system fault partial discharge UHF antenna fractal antenna micro-strip antenna

Distributed and Risk-averse ADP Algorithm for Stochastic Economic Dispatch of power System with Multiple Offshore Wind Farms

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CSEE Journal of power and Energy Systems 2024年第5期10卷 1977-1993页

作者： Xiangyong Feng Shunjiang Lin Yutao Liang Guansheng Fan Mingbo Liu School of Electric power Engineering South China University of TechnologyGuangzhou 510640China Guangdong Key Laboratory of Clean Energy Technology South China University of TechnologyGuangzhou 511458China Guangzhou power supply bureau Guangdong Power Grid Co.Ltd.Guangzhou 510000China

With more and more offshore wind power being increasingly connected to power grids,fluctuations in offshore wind speeds result in risks of high operation *** mitigate this problem,a risk-averse stochastic economic dispatch(ED)model of power system with multiple offshore wind farms(OWFs)is proposed in this *** this model,a novel GlueVaR method is used to measure the tail risk of the probability distribution of operation *** weighted sum of the expected operation cost and the GlueVaR is used to reflect the risk of operation cost,which can consider different risk requirements including risk aversion and risk neutrality flexibly by adjusting ***,a risk-averse approximate dynamic programming(ADP)algorithm is designed for solving the proposed model,in which multi-period ED problem is decoupled into a series of single-period ED ***,GlueVaR is introduced into the approximate value function training process for risk ***,a distributed and risk-averse ADP algorithm is constructed based on the alternating direction method of multipliers,which can further decouple single-period ED between transmission system and multiple OWFs for ensuring information *** studies on the modified IEEE 39-bus system with an OWF and an actual provincial power system with four OWFs demonstrate correctness and efficiency of the proposed model and algorithm.

关键词： Approximate dynamic programming(ADP) alternating direction method of multipliers GlueVaR offshore wind farm risk-averse stochastic optimization

Exploiting demand-side heterogeneous flexible resources in risk management of power system frequency

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Science China(Technological Sciences) 2024年第5期67卷 1612-1627页

作者： YAO Yu SONG YongHua YE ChengJin DING Yi ZHAO YuMing College of Electrical Engineering Zhejiang UniversityHangzhou310027China State Key Laboratory of Internet of Things for Smart City University of MacaoMacao SAR519000China Shenzhen power supply bureau Co. Ltd.Shenzhen518051China

More demand-side flexible resources(DFRs)are participating in the frequency regulation of renewable power systems,whose heterogeneous characteristics have a significant impact on the system frequency ***,selecting suitable DFRs poses a formidable challenge for independent system operators(ISO).In this paper,a reserve allocation methodology for heterogeneous DFRs is proposed to manage the risk of power system ***,a performance curve is developed to describe the cost,capacity,and response speed of ***,a clustering method for multiple distributed DFRs is conducted to calculate the aggregated performance curves and uncertainty ***,the frequency security criterion considering DFRs’performance is constructed,whose linearity makes it can be easily coupled into the system scheduling model and ***,a risk management model for DFRs considering frequency-chance-constraint is proposed to make a trade-off between cost and frequency ***,the model is transformed into mixed integer second-order cone programming(MISOCP)and solved by the commercial *** proposed model is validated by the IEEE 30 and IEEE 118 bus systems.

关键词： demand-side heterogenous flexible resources risk management of power system frequency performance curve aggregation method mixed integer second-order cone programming

A Situational Awareness Method for Initial Insulation Fault of Distribution Network Based on Multi-Feature Index Comprehensive Evaluation

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Energy Engineering 2024年第8期121卷 2191-2211页

作者： Hao Bai Beiyuan Liu Hongwen Liu Jupeng Zeng Jian Ouyang Yipeng Liu Electric power Research Institute China Southern Power GridGuangzhou510663China State Key Laboratory of Disaster Prevention and Reduction for power Grid Changsha University of Science and TechnologyChangsha410114China Electric power Research Institute of Yunnan power Grid Co. Ltd.Kunming650032China Qujing power supply bureau of Yunnan power Grid Co. Ltd.Qujing655099China

Most ground faults in distribution network are caused by insulation deterioration of power *** is difficult to find the insulation deterioration of the distribution network in time,and the development trend of the initial insulation fault is unknown,which brings difficulties to the distribution *** order to solve the above problems,a situational awareness method of the initial insulation fault of the distribution network based on a multi-feature index comprehensive evaluation is ***,the insulation situation evaluation index is selected by analyzing the insulation fault mechanism of the distribution network,and the relational database of the distribution network is designed based on the data and numerical characteristics of the existing distribution management ***,considering all kinds of fault factors of the distribution network and the influence of the power supply region,the evaluation method of the initial insulation fault situation of the distribution network is proposed,and the development situation of the distribution network insulation fault is classified according to the evaluation ***,principal component analysis was used to reduce the dimension of the training samples and test samples of the distribution network data,and the support vector machine(SVM)was *** optimal parameter combination of the SVM model was found by the grid search method,and a multi-class SVM model based on 1-v-1 method was ***,the trained multi-class SVM was used to predict 6 kinds of situation level prediction *** results of simulation examples show that the average prediction accuracy of 6 situation levels is above 95%,and the perception accuracy of 4 situation levels is above 96%.In addition,the insulation maintenance decision scheme under different situation levels is able to be given when no fault occurs or the insulation fault is in the early stage,which can meet the needs of power distribution an

关键词： Distribution grid insulation degradation initial insulation fault multi-feature indices multi-class SVM situational level situational awareness