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2020 IEEE/IAS Industrial and Commercial power system Asia, I and CPS Asia 2020

作者： Xu, Guangda Liang, Jun Sun, Donglei Zhang, Li Li, Xueliang Han, Xueshan Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China Economic Technology Research Institute State Grid Shandong Electric Power Company Jinan China

ISBN: (数字)9781728143033

ISBN: (纸本)9781728143033

Tariff recommendation is an important marketing means for retailers in electricity market. Based on the power consumption data acquired by the advanced metering infrastructure, tariff recommendation can not only match customers with appropriate tariff but also guide customers to adjust power consumption strategy. In this paper, an adjustment oriented electricity tariff recommendation method based on typical customers is proposed. Fuzzy clustering algorithm is applied to power consumption data of appliances to extract the consumption feature of each kind of appliance. Then the decision tree is constructed, which correlate the class features of appliances with clusters of customers. Pre-pruning decision tree is deployed together with use of depth-first search to exclude meaningless nodes of the decision tree, so that the typical customer set is determined. The tariff recommendation model is constructed aiming at minimum electricity bill, which credits to optimize benchmark strategy of power consumption for typical customers. The model is solved by particle swarm optimization. Simulations show that the proposed method enables customers to understand the adjustment signal revealed by the tariff, and results in electricity bill reduction due to participating in demand response as retailers expected. © 2020 IEEE.

关键词： Decision trees

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Day-Ahead Scheduling Model Based on Supply-Demand Interaction Mode Considering Production Process of Short-Process Steel Enterprise

Day-Ahead Scheduling Model Based on Supply-Demand Interactio...

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3rd IEEE Student Conference on Electrical Machines and systems (SCEMS)

作者： Wang, Haibo Zhang, Li Ren, Yijing Meng, Linghan Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Jinan Peoples R China Shandong Univ Sch Elect Engn Jinan Peoples R China

ISBN: (纸本)9781728156224

With the increasing penetration of renewable energy, making full use of the load-side adjustable resources has become an inevitable choice for power grid dispatching to maintain the balance between power supply and demand. In this context, this paper takes the short-process steel enterprise whose adjustable potential is closely related to the production process as the research object, and proposes a day-ahead scheduling model based on supply-demand interaction mode and considering the production process of such enterprise. Firstly, a resource task network (RTN) method is used to model the coupling scheduling problem of materials, equipment and electric power resource involved in the complex production process of the steel enterprise. Then, in order to comprehensively consider the different interest demands of the grid side and the enterprise user, the bi-level programming approach is used to establish a day-ahead scheduling model based on the supply-demand interaction mode. The upper layer and the lower layer respectively transmit day-ahead price and power purchase information to each other to conduct the interactive game. Moreover, to make the model solving process match with the actual interaction process, the bi-level iterative algorithm is used to solve the built model, and a penalty-based modified heterogeneous decomposition (rho HGD) algorithm is chosen in the iterative algorithm to speed up the solution by introducing a dynamic penalty term into the lower objective function. Finally, the simulation results verify the necessity of considering the production process when analyzing the power consumption of the steel enterprise and the effectiveness of the proposed model.

关键词： short-process steel enterprise production process resource task network supply-demand interaction mode bi-level iterative algorithm

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Distributed Risk-Limiting Load Restoration for Wind power Penetrated Bulk system

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IEEE TRANSACTIONS ON power systemS 2020年第5期35卷 3516-3528页

作者： Zhao, Jin Wang, Hongtao Wu, Qiuwei Hatziargyriou, Nikos D. Shen, Feifan Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250000 Peoples R China Tech Univ Denmark Ctr Elect Power & Energy Dept Elect Engn DK-2800 Lyngby Denmark Natl Tech Univ Athens Athens 15773 Greece

This article proposes a new distributed risk-limiting load restoration scheme for wind power penetrated interconnected bulk systems. The conditional value-at-risk (CVaR) is used as the risk-limiting index. The projection function based alternating direction method of multipliers algorithm (P-ADMM) is used to decouple the CVaR integrated load restoration model into a distributed form. With the proposed algorithm, the risk-limiting constraints are decomposed and the complex non-convex load restoration model with the CVaR is transformed into small-scale scenario-based QP problems. The distributed risk-limiting load restoration scheme respects the individual decision-making of regional grids and reduces the security violation risk of the interconnected bulk system under uncertain conditions. The CVaR integrated P-ADMM method can efficiently reduce the computation complexity of the load restoration optimization for the uncertain bulk system without loss of optimality. The effectiveness of the proposed method was validated using the IEEE-118 bus system connected with thirty IEEE-33 bus systems.

关键词： Optimization Load modeling Generators power systems Wind farms Indexes Computational modeling Alternating direction method of multipliers power system load restoration risk-limiting dispatch wind power integration

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Calculation Method of the Line Loss Rate in Transformer District Based on Neural Network with Optimized Input Variables

Calculation Method of the Line Loss Rate in Transformer Dist...

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3rd IEEE Student Conference on Electrical Machines and systems (SCEMS)

作者： Ren, Yijing Li Zhang Wang, Haibo Li, Mengwei Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Jinan Peoples R China Shandong Univ Sch Elect Engn Jinan Peoples R China

ISBN: (纸本)9781728156224

The line loss rate of transformer district has been paid close attention by power supply companies. With the accumulation of line loss sample data, artificial neural network algorithm has been widely used in line loss calculation. In view of the influence of the type and quantity of input variables on the calculation accuracy of artificial neural network model, this paper proposes an artificial neural network line loss calculation method based on improved k-means clustering and grey relational analysis. Aiming at the problem that the line loss characteristics of different transformer district are significantly different, the improved k-means algorithm which optimizes the initial clustering center is used to classify the transformer districts. Further, in order to reduce the network training burden caused by too many input variables, the correlation between electrical characteristic indicators and line loss rate is determined by grey relational analysis, and the number of input variables in each type of transformer district is determined by K-fold cross validation method. The simulation results show that the method can improve the accuracy of line loss calculation, and provide a theoretical basis for scientific and reasonable loss reduction.

关键词： K-Means grey relational analysis artificial neural network line loss rate

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Synchronization Stability of PLL-Based power Converters Connected to Weak AC Grid

Synchronization Stability of PLL-Based Power Converters Conn...

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power and Electrical Engineering (ACPEE), 5th Asia Conference on

作者： Limin Mei Lei Ding Zhihao Wang Deyu Cai Ran Ding Jingran Wang Haixiang Xu Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China Electric Power Dispatching and Control Center State Grid Jibei Electric Power Company Limited Beijing China

In this paper, the synchronization stability of converter system based on the phase-locked loop (PLL) is studied, especially when it is connected to a weak AC grid. First, the small signal model considered PLL, power control, current control and voltage feedforward (VFF) control is built. The open-loop transfer function can analyze the stability of the system but hides the dynamic of PLL. So the conjugated circuit is proposed, which describes the dynamics of PLL and the other part separately. Based on the Bode diagrams, we explore how the grid impedance and converter controller parameters influence the stability of the system. In order to verify the analysis results, simulations are conducted in MATlab/Simulink.

关键词： power control power system stability Stability analysis Circuit stability Synchronization Mathematical model Phase locked loops

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Impact of multiple demand side management programs on the optimal operation of grid-connected microgrids

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APPLIED ENERGY 2021年 301卷 117466-117466页

作者： Kumar, R. Seshu Raghav, L. Phani Raju, D. Koteswara Singh, Arvind R. Natl Inst Technol Dept Elect Engn Silchar India Shandong Univ Sch Elect Engn Key Lab Power Syst Intelligent Dispatch & Control Jinan Peoples R China

With the rapid proliferation of non-dispatchable energy sources, the need for demand-side management (DSM) strategies has become crucial to ensure affordability and reliability for end-users. The application of various diversified DSM strategies in the microgrid energy management system (EMS) is gaining popularity. This paper aims to solve the energy management problem of the microgrid in conjunction with both customer-oriented and utility-oriented DSM strategies for the first time in the literature. In light of this, a stochastic EMS framework is developed to implement and analyze the flexible load shaping DSM strategy, price-based, and incentive-based demand response programs (DRPs) in the presence of non-dispatchable energy resources. Further, the flexible price-oriented load model is adopted for price-driven and incentive-driven DRPs to depict the realistic assessment of consumers' sensitivity to market prices. The scenario construction approach is employed to address the stochastic nature of renewable power generation, market prices, and load demand. With the complexities as mentioned above, the problem needs to be solved with a powerful optimizer sufficiently to enhance energy efficiency and optimize energy utilization. Hence, the recently reported novel metaheuristic algorithm (Black Widow Optimization) is applied to solve the proposed MG energy management problem in the MATlab environment. The IEEE-34 node distribution feeder-based MG network is modified to study the proposed algorithm's performance, and a detailed analysis of various techno-economic indices is presented. The obtained simulation results are compared with existing popular algorithms to prove the efficacy of the proposed algorithm in terms of convergence, computational time, an optimum solution and the real-time market bid prices were considered in analysis for day-ahead scheduling of microgrid network.

关键词： Energy management system Microgrid Flexible price elasticity Demand side management Demand response strategies Black widow optimization

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Feature Selection Method for Non-intrusive Load Monitoring with Balanced Redundancy and Relevancy

Feature Selection Method for Non-intrusive Load Monitoring w...

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2020 IEEE/IAS Industrial and Commercial power system Asia, I and CPS Asia 2020

作者： Bao, Sheng Zhang, Li Li, Wensheng Sun, Donglei Zhang, Boyi Han, Xueshan Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China Economic Technology Research Institute State Grid Shandong Electric Power Company Jinan China

ISBN: (纸本)9781728143033

Non-intrusive load monitoring(NILM) has become a key technology in the power Internet of Things and an important information source of load characteristics analysis. Whether the selected features are appropriate determines the effectiveness of load identification in NILM. In order to reduce redundance and improve relevance of the selected features, a feature selection method which integrates mutual information and Relief-F algorithm is proposed. Based on the analysis of the power consumption characteristics of various electrical appliances, the prospective components of the initial feature set for NILM is discussed. From the perspective of balancing redundancy and relevancy, the redundant features are removed by using mutual information algorithm, the relevance of the features are sorted by using Relief-F algorithm, and then the optimal feature subset is obtained. A k-NN identification algorithm is applied to test the effectiveness of the feature selection methods. The simulation results show that the proposed method is superior to other filter feature selection methods in robustness and universality, and can significantly improve the identification accuracy. © 2020 IEEE.

关键词： Redundancy

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New cycle-based formulation, cost function, and heuristics for DC OPF based controlled islanding

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ELECTRIC power systemS RESEARCH 2022年 212卷

作者： Tyuryukanov, Ilya Popov, Marjan Bos, Jorrit A. van der Meijden, Mart A. M. M. Terzija, Vladimir Delft Univ Technol Fac EEMCS NL-2628 CD Delft Netherlands TenneT TSO BV NL-6812 AR Arnhem Netherlands Shandong Univ Sch Elect Engn Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Peoples R China

This paper presents a new formulation for intentional controlled islanding (ICI) of power transmission grids based on mixed-integer linear programming (MILP) DC optimal power flow (OPF) model. We highlight several deficiencies of the most well-known formulation for this problem and propose new enhancements for their improvement. In particular, we propose a new alternative optimization objective that may be more suitable for ICI than the minimization of load shedding, a new set of island connectivity constraints, and a new set of constraints for DC OPF with switching, and a new MILP heuristic to find initial feasible solutions for ICI. It is shown that the proposed improvements help to reduce the final optimality gaps as compared to the benchmark model on several test instances.

关键词： controlled islanding Integer programming Network connectivity DC OPF Heuristics

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Distributed cooperative voltage control of wind farms based on consensus protocol

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INTERNATIONAL JOURNAL OF ELECTRICAL power & ENERGY systemS 2019年 104卷 593-602页

作者： Guo, Yifei Gao, Houlei Wu, Qiuwei Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan Shandong Peoples R China

The increasing penetration level of wind power brings a number of challenges to power system operations. Voltage/reactive power control is an important task of a wind farm to fulfill the grid requirements and avoid the cascading trip faults of wind turbines (WTs). To address this issue, a distributed cooperative voltage control strategy is proposed for wind farms based on the consensus protocol in this paper. In the proposed voltage control scheme, a droop-based local controller is adopted for the primary voltage control based on the local measurements. A consensus-based distributed secondary voltage controller is proposed, aiming to regulate the voltages within the feasible range while optimizing reactive power sharing among the reactive power sources using the local and neighboring information. The controller parameters are determined by the closed-loop system stability analysis using a linearized model. A wind farm with 20 WTs was used for the case study to validate the proposed control scheme under both steady-state and fault-ride-through (FRT) conditions. Moreover, the robustness against a communication link failure and plug-and-play capability of the proposed voltage controller were tested.

关键词： Consensus protocol Reactive power Voltage control Wind farm

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Modeling Fault Recovery and Transient Stability of Grid-Forming Converters Equipped With Current Reference Limitation

arXiv

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arXiv 2024年

作者： Arjomandi-Nezhad, Ali Guo, Yifei Pal, Bikash C. Yang, Guangya The Department of Electrical and Electronics Engineering Imperial College London LondonSW7 2AZ United Kingdom The Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan250061 China The Department of Wind and Energy Systems The Technical University of Denmark Anker Engelunds Vej 1 Bygning 101A Kongens Lyngby2800 Denmark

When grid-forming (GFM) inverter-based resources (IBRs) face severe grid disturbances (e.g., short-circuit faults), the current limitation mechanism may be triggered. Consequently, the GFM IBRs enter the current-saturation mode, inducing nonlinear dynamical behaviors and posing great challenges to the post-disturbance transient angle stability. This paper presents a systematic study to reveal the fault recovery behaviors of a GFM IBR and identify the risk of instability. A closed-form expression for the necessary condition that a GFM IBR returns from the current-saturation mode to the normal operation mode is presented. Based on these analyses, it is inferred that the angle of the magnitude-saturated current significantly affects the post-fault recovery and transient stability;with different angle selection, the system may follow multiple post-fault trajectories depending on those conditions: 1) Convergence to a normal stable equilibrium point (SEP), 2) convergence to a saturated stable equilibrium point (satSEP), or 3) divergence (instability). In this paper, the circumstances under which a GFM IBR cannot escape from the current-saturation mode are thoroughly investigated. The theoretical analyses are verified by dynamic simulations. © 2024, CC BY.

关键词： Transient stability

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