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power Science and Technology (ICPST), IEEE International Conference on

作者： Xiaofan Jia Hua Ye Lei Gao Kaiyuan Hou Kefei Wang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China Power System Department China Electric Power Research Institute Beijing China Dispatch and Communication Center Northeast Branch State Grid Cooperation of China Shenyang China

ISBN: (数字)9798350349030

ISBN: (纸本)9798350349047

The increasing use of modular multilevel converters (MMCs) raises system stability concerns, such as instability in a wide frequency range. Accurate stability analysis of such systems thus is urgently demanded. In this regard, the small signal modeling of the system can be described by a set of linear time- periodic (LTP) differential equations involving time delays, which requires much more effort. A generalization of the ordinary differential equation (ODE)-based harmonic state space (HSS) framework to delayed differential equations (DDEs), HSS-DDE for short, has been proposed to tackle time delays and periodicity within a unified framework. However, the authors found in practical application that this model produces erroneous results when the time delay involved is not an integer multiple of the period. Therefore, this paper first intensively analyzes the limitations of the HSS-DDE model, and then introduces the time-periodic infinitesimal generator and partial discretization idea to reconstruct an improved model that is not affect by the relationship between time delays and period. Thus, the stability of delayed periodic systems can be readily studied. The results of a numerical example and the grid-connected MMC system verify the accuracy and validity of the proposed model.

关键词： Analytical models Multilevel converters Accuracy Delay effects power system stability Harmonic analysis Stability analysis

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Risk-constrained probabilistic coordination in coupled transmission and distribution system

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ELECTRIC power systemS RESEARCH 2024年 228卷

作者： Nawaz, Aamir Wang, Hongtao Yang, Huiting Armghan, Hammad Gao, Jiechao Gomal Univ Fac Elect Engn Dera Ismail Khan 29050 Pakistan Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250000 Peoples R China Univ Virginia Dept Comp Sci Charlottesville VA 22904 USA Tsinghua Univ Tsinghua Berkley Shenzhen Inst TBSI Tsinghua Shenzhen Int Grad Sch Tsinghua SIGS Shenzhen 518055 Guangdong Peoples R China

High penetration of renewable energy has instigated stochastic power injection at interconnection between transmission system (TS) and distribution system (DS). This paper delves into the intricate collaborative risk based stochastic dispatching challenges due to contingencies and the integration of renewable sources in the TS and DS. A framework of risk constrained probabilistic problem (RCPC) is presented, which is divided into Probabilistic coordination (PC) and risk-based stochastic security-constrained unit commitment (RSSCUC). The PC is a stochastic linear problem and RSSCUC is a stochastic mixed integer non-linear problem. Therefore, the probabilistic analytical target cascading along with polynomial chaos expansion (PCE) has been utilized for solving the PC problem for coupled TS and DS. Here, PCE has provided the proposed algorithm with the needed capability to present stochastic shared variables as coefficients for PC. Further, the benders decomposition al-gorithm has been utilized for solving RSSCUC, by dividing it into master problem and sub problem to generate feasibility cuts. The proposed technique reduces the computational burden on the system, as it requires single stochastic coordination problem for all scenarios as an alternative of each coordination problem for each scenario and polynomial coefficients instead of multiple scenarios for each shared variable between TS and DS. Different case studies have been performed utilizing the 6-bus system and IEEE 118-bus system as TSs, 7-bus, 9-bus, 85-bus and 69-bus systems as DSs. Results depict the efficacy of the proposed method.

关键词： Distribution system Probabilistic analytical target cascading Probabilistic unit commitment Polynomial chaos expansion Risk assessment Transmission system

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Robust Decentralized Coordination of Transmission and Active Distribution Networks

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IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS 2021年第3期57卷 1987-1994页

作者： Li, Peng Yang, Ming Tang, Yaohua Yu, Yixiao Li, Menglin Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Peoples R China CR Power Energy Sci & Technol Co Ltd Zhengzhou 450046 Peoples R China

In this article, a novel robust decentralized coordination dispatch approach is presented, which can efficiently coordinate the transmission network and connected active distribution networks (ADN). The concept of allowable power exchange interval is introduced in the coordination of the integrated networks so that the transmission network can receive reserve capacity support from connected ADNs, which further exploits the flexibility in ADNs. Meanwhile, the risk of accommodating wind power has also been considered in the optimization to make a tradeoff between the operational risk and operational costs and a tradeoff between the transmission network and ADNs. Besides, the alternating direction method of multipliers is adopted to decompose the proposed centralized robust coordination dispatch model for the integrated transmission network and ADNs into several dispatch submodels. To efficiently release the computational burden, a new efficient algorithm is also developed to transform the resulting nonconvex submodels into convex linear optimization subproblems that can be optimized effectively and globally with off-the-shelf solvers. The effectiveness and efficiency of the proposed robust decentralized coordination dispatch approach was validated using two test systems.

关键词： Optimization Generators Convex functions Wind power generation power systems Couplings Convergence Allowable power exchange interval (APEI) alternating direction method of multipliers (ADMM) decentralized optimization reserve capacity support robust optimization

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A Value Set Approach for Stability Region Determination for Time Delayed power systems with Multiple Uncertain Parameters

A Value Set Approach for Stability Region Determination for ...

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China International Electrical and Energy Conference (CIEEC)

作者： Xiubao Shi Hua Ye Lei Gao Kaiyuan Hou Kefei Wang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China Power System Department China Electric Power Research Institute Beijing China Dispatch and Communication Center Northeast Branch State Grid Cooperation of China Shenyang China

ISBN: (数字)9798350359558

ISBN: (纸本)9798350359565

This paper develops a stability region computation method for time delayed power systems based on the value set method. It is designed to accommodate systems with multiple uncertain parameters and time delays. This method serves to analyze the small signal stability margin of power systems and offer guidance for system parameter design. Different from many previous works, this method achieves relatively high efficiency without any conservativeness. First, it processes polynomials with exponentials through polynomial transformations. Second, by continuously subdividing and discriminating the uncertain space, the parameter stability region of the system is obtained. Finally, the effectiveness and accuracy of the proposed method are validated through simulation examples in MATlab/Simulink.

关键词： Uncertainty Accuracy Delay effects power system stability Approximation algorithms Stability analysis Polynomials

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Studies on Electricity Theft Detection Approach Based on LSTM-SAE and Support Vector Machine

Studies on Electricity Theft Detection Approach Based on LST...

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58th IEEE/IAS Industrial and Commercial power systems Technical Conference Asia (IEEE I and CPS Asia)

作者： Miao, Xiaowei Yuan, Jianhua Yang, Ming Ou, Zhujian Chen, Peng Wang, Qiushi Shi, Wei State Grid Jiangsu Elect Power Co Ltd State Grid Nantong Power Supply Co Nantong Peoples R China Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Jinan Shandong Peoples R China

ISBN: (数字)9781665450669

ISBN: (纸本)9781665450669

The methods of electricity theft diversified and became more camouflaged against the backdrop of creating the smart grid in all respects. Existing detection methods struggled to meet the application's requirements. As a result, using long and short term memory stacked auto encoder (LSTM-SAE) and support vector machine(SVM), this research developed an electricity-stealing identification model. For high-dimensional nonlinear time series, LSTM-SAE has good feature extraction capabilities, making it suitable for mining the deep properties of electricity consumption data. SVM is applied as classifiers, whose parameters are optimized by particle swarm optimization(PSO) algorithm. Features extracted by LSTM-SAE to output the results through SVM classifier. Through the experimental simulation of actual power grid data, false positive rate(FPR) and detection rate(DR) demonstrate the effectiveness and accuracy of the proposed method.

关键词： electricity theft identification auto-encoder feature extraction PSO optimized SVM

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Urban Distribution Network Planning Considering Block Loads 3

Urban Distribution Network Planning Considering Block Loads

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3rd Asia Energy and Electrical Engineering Symposium (AEEES)

作者： Fang, Zhen Wang, Mingqiang Li, Jianying Wang, Zhixin Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan Peoples R China

ISBN: (纸本)9781665425513

Urban distribution network planning is an important distribution network planning problem which needs to consider the street layout and block loads. Traditionally, the load within a block area is taken as a single load point. In this paper, a new urban distribution network planning model is proposed. The location and sizing of substations, and the routing and capacity of distribution power lines are simultaneously optimized. The load in a block is distributed to the surrounding segments, and then distributed to the adjacent junctions of the segments. The model belongs to a mixed integer linear programming problem and it can be solved by state-of-art commercial solver. The validity and effectiveness of the proposed model are illustrated by case studies.

关键词： block loads distribution network planning mixed integer linear programming street layout

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The Commonality of Economic dispatch Models Based on Scenario/Interval 7

The Commonality of Economic Dispatch Models Based on Scenari...

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7th IEEE Conference on Energy Internet and Energy system Integration, EI2 2023

作者： Wang, Yishen Wei, Renjie Sun, Fengbin Zhang, Ruihan Yao, Tiechui Ren, Lan State Grid Smart Grid Research Institute Co Ltd Future Science Park Beijing China State Grid Smart Grid Research Institute Co Ltd Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China

ISBN: (纸本)9798350345094

With the increasing penetration of renewable energy, how to maximize the acceptance of renewable energy on the basis of satisfying the economy security and reliability of the power system is an urgent problem to be solved. In this area, mathematical optimization methods such as robust optimization and stochastic optimization are generally used to construct models based on different uncertainty descriptions. Previous studies have shown that robust optimization has high computational efficiency but conservative results, while stochastic optimization has low computational efficiency but accurate results. Therefore, different studies will choose suitable methods based on the characteristics of the models to be constructed. However, existing studies have not thoroughly discussed whether there is a connection between the two methods. This paper first proposes an economic dispatch model based on scenario considering the admissible region of net load, and introduces a new affine strategy to transform this model into a deterministic form. Secondly, based on further exploration of the characteristics of economic dispatch models based on scenario/interval, the paper concludes that the two models are common when they are sufficiently precise. Finally, the correctness of the conclusion is verified on the IEEE-RTS system. © 2023 IEEE.

关键词： Computational efficiency

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Distributionally robust risk-resistant synergistic restoration strategy for integrated electricity and gas system with high-fidelity gas dynamic modeling

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ELECTRIC power systemS RESEARCH 2024年 235卷

作者： Liang, Kunjie Wang, Hongtao Liu, Yutian Gu, Xueping Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250000 Peoples R China North China Elect Power Univ Sch Elect & Elect Engn Baoding Peoples R China

A synergistic restoration strategy offers a promising solution for expediting restoration of integrated electricity and gas system (IEGS) following blackouts, particularly under the increasing energy interdependence between these two subsystems. However, achieving synergistic restoration is challenging in 1) distinct operational characteristics between electric and gas flow rates, leading to difficulties in accurately modeling the restoration processes with significantly varying system states;2) potential risks posed by uncertainties, such as fluctuating renewable energy and random contingencies, undermining the effectiveness of restoration strategy. To address these challenges, this paper proposes a novel distributionally robust risk-resistant synergistic restoration strategy for IEGS. Firstly, to accurately capture the dynamics of slow gas flow relative to instantaneous power flow, we propose a high-fidelity linear dynamic gas flow model with multiparametric disaggregation technique, demonstrating satisfactory accuracy in restoration scenarios. Then, the risks by uncertainties of renewable energy and contingencies are handled within distributionally robust framework. Moreover, the IEGS restoration problem is reformulated as a two-stage robust optimization problem by convex conservative approximation and strong duality theory, which is solved by a nested column-and-constraint generation algorithm. Finally, simulation results validate the effectiveness of the proposed restoration strategy, showing the improved restoration efficiency, security, and risk-resistant performance.

关键词： Integrated electricity and gas system Restoration Risk-resistant Distributionally robust Gas flow dynamics

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A Transmission & Generator Expansion Planning Model Considering Flexibility and N-1 Contingency 3

A Transmission & Generator Expansion Planning Model Consider...

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3rd Asia Energy and Electrical Engineering Symposium (AEEES)

作者： Wang, Weilun Wang, Mingqiang Li, Ran Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan Peoples R China

ISBN: (纸本)9781665425513

The increasing penetration of renewable energy sources imposes higher requirement on the operation flexibility of the power system and brings new challenges to the planning problem. In this paper, a transmission & generator expansion planning model considering operation flexibility and N-1 contingency is proposed, in which the flexibility is provided by generators, energy storage, load and wind farms together. N-1 contingency of transmission line is also considered. Then the model is transformed into a mixed integer linear programming model by linearization technique such as big M method. The feasibility and effectiveness of the proposed model are illustrated on the IEEE RTS system.

关键词： flexibility linearization N-1 contingency transmission & generator expansion planning

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Dynamic reconfiguration of three-phase imbalanced distribution networks considering soft open points

ENERGY CONVERSION AND ECONOMICS

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ENERGY CONVERSION AND ECONOMICS 2023年第5期4卷 364-377页

作者： Ji, Xingquan Zhang, Xuan Ye, Pingfeng Zhang, Yumin Li, Guanglei Gong, Zheng Shandong Univ Sci & Technol Coll Elect Engn & Automat Qingdao Shandong Peoples R China Tianjin Univ Key Lab Smart Grid Minist Educ Tianjin Peoples R China Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan Shandong Peoples R China State Grid Weifang Power Supply Co Weifang Shandong Peoples R China

The characteristics of three-phase imbalances are present in medium- and low-voltage distribution networks. Integrating single-phase distributed generation (DG) exacerbates network imbalances, resulting in increased power losses and potential safety hazards. To address these issues, a dynamic reconfiguration strategy (DNR) for three-phase imbalanced distribution networks, considering soft open points (SOP), has been proposed. The objective is to alleviate the three-phase imbalance and minimize the operational costs of the distribution network. Within the reconfiguration strategy, the constraints of DG current imbalance in practical system operations are considered. A three-phase imbalanced DNR model that simultaneously considers the constraints of the SOP and DG current imbalances is introduced. This model aims to optimize the operation of all devices, including the SOP, to address the overall imbalance of the distribution network. This enables the authors to transform the non-linear model into a mixed-integer linear programming model, significantly improving the solution efficiency. To validate the proposed strategy, simulations of a modified IEEE 34-node distribution system and an actual 78-node distribution system were conducted. The results demonstrate that this strategy offers significant economic benefits and ensures the security of the distribution network.

关键词： DG current imbalance constraint dynamic reconfiguration of distribution network soft open points three-phase imbalance

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