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Two-stage stochastic approach for spinning reserve allocation in dynamic economic dispatch

Journal of Central South University 2014年第2期21卷 577-586页

作者：杨明张利韩学山程凤璐 Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University)

A novel approach was proposed to allocate spinning reserve for dynamic economic *** proposed approach set up a two-stage stochastic programming model to allocate *** model was solved using a decomposed algorithm based on Benders' *** model and the algorithm were applied to a simple 3-node system and an actual 445-node system for verification,*** results show that the model can save 84.5 US $ cost for the testing three-node system,and the algorithm can solve the model for 445-node system within 5 *** test results also illustrate that the proposed approach is efficient and suitable for large system calculation.

关键词： power system dynamic economic dispatch spinning reserve response risk two-stage stochastic programming Benders＇ decomposition

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Secondary Frequency control Considering Optimized power Support From Virtual power Plant Containing Aluminum Smelter Loads Through VSC-HVDC Link

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Journal of Modern power systems and Clean Energy 2023年第1期11卷 355-367页

作者： Peng Bao Wen Zhang Yuxi Zhang Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Shandong UniversityJinan 250061China

The growing number of renewable energy replacing conventional generators results in a loss of the reserve for frequency control in power systems,while many industrial power grids often have excess energy supply due to abundant wind and solar energy *** paper proposes a secondary frequency control(SFC)strategy that allows industrial power grids to provide emergency high-voltage direct current(HVDC)power support(EDCPS)for emergency to a system requiring power support through a voltage source converter(VSC)HVDC *** architecture including multiple model predictive control(MPC)controllers with periodic communication is designed to simultaneously obtain optimized EDCPS capacity and minimize adverse effects on the providing power support(PPS)***,a model of a virtual power plant(VPP)containing aluminum smelter loads(ASLs)and a high penetration of wind power is established for the PPS *** flexibility and controllability of the VPP are improved by the demand response of the *** uncertainty associated with wind power is considered by chance *** effectiveness of the proposed strategy is verified by simulation results using the data of an actual industrial power grid in Inner Mongolia,*** DC voltage of the VSCs and the DC in the potlines of the ASLs are also investigated in the simulation.

关键词： Secondary frequency control power support voltage source converter(VSC) high-voltage direct current(HVDC) model predictive control(MPC) virtual power plant(VPP) demand response

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Risk-aware Distributed Optimal power Flow in Coordinated Transmission and Distribution system

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Journal of Modern power systems and Clean Energy 2021年第3期9卷 502-515页

作者： Aamir Nawaz Hongtao Wang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong UniversityJinan 250000China

Active distribution grids cause bi-directional power flow between transmission system(TS)and distribution system(DS),which not only affects the optimal cost but also the secure operation of the power *** paper proposes a hybrid coordination method to solve the risk-aware distributed optimal power flow(RA-DOPF)problem in coordinated TS and *** operation risk evaluation,the weather-based contingencies are considered in both TS and DS.A hybrid coordination method is developed that entails analytical target cascading(ATC)and Benders decomposition(BD).Moreover,the risk-aware optimal power flow(RAOPF)in TS and risk-based security-constrained optimal power flow in DS have been performed using the BD method considering basic optimal power flow as a master problem,whereas N-1 and N-2 contingencies are considered as *** case studies are performed using the IEEE 30-bus system with generation reserves as a TS and a 13-bus system as a *** results demonstrate the efficacy of the proposed method.

关键词： Analytical target cascading Benders decomposition distribution system preventive and corrective contingen-cies risk awareness transmission system

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Enhancing Integrated Gas and Electricity Networks Operation With Coupling Attention-Graph Convolutional Network Under Renewable Energy Variability

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IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING 2025年第1期12卷 277-289页

作者： Bai, Runze Sun, Xianzhuo Zhang, Wen Qiu, Jing Tao, Yuechuan Lai, Shuying Zhao, Junhua Univ Sydney Sch Elect & Comp Engn Sydney NSW 2006 Australia Hong Kong Polytech Univ Dept Elect Engn Hong Kong Peoples R China Hong Kong Polytech Univ Res Inst Smart Energy Hong Kong Peoples R China Shandong Univ Sch Elect Engn Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Peoples R China City Univ Hong Kong Dept Elect Engn Hong Kong Peoples R China CAFEA Smart City Ltd Hong Kong Peoples R China Chinese Univ Hong Kong Sch Sci & Engn Shenzhen 518100 Peoples R China Shenzhen Inst Artificial Intelligence & Robot Soc Shenzhen 518100 Peoples R China

The growing integration of renewable energy sources into the power grid necessitates innovative approaches to energy system management. Integrated gas and electricity networks offer a promising solution to this challenge, enabling the efficient, reliable, and sustainable operation of energy systems. This paper presents a novel approach to the optimal scheduling of integrated gas and electricity networks, addressing the challenges posed by high penetration of renewable energy sources. First, a learning-assisted methodology is proposed to leverage Graph Convolutional Networks (GCNs) and Bayesian-based uncertainty models to enhance the accuracy and efficiency of scheduling integrated energy systems. The proposed GCN model effectively captures the complex interactions within the integrated network, facilitating accurate power and gas flow predictions. Meanwhile, the Bayesian-based model adeptly manages the inherent uncertainties associated with renewable energy generation, employing a chance-constrained approach to ensure system reliability. The effectiveness of the proposed methodology is demonstrated through extensive simulations on an IEEE 39-bus electricity network coupled with a 22-node hydrogen network. Results indicate significant improvements in computational efficiency and predictive accuracy compared to traditional model-based methods and existing data-driven techniques.

关键词： Electricity Renewable energy sources Costs Uncertainty Reliability Generators Couplings Optimal scheduling Load modeling Computational modeling power system planning probability capped load curtailment probability risk management

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Energy-based Directional Pilot Protection for Distribution Networks with IBDGs Considering Unmeasured Load Switching

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CSEE Journal of power and Energy systems 2024年第1期10卷 139-150页

作者： Chenghan Zhou Guibin Zou Shuo Zhang Xuhui Wen Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong UniversityJinan 250061China

Inverter-based distributed generations(IBDGs)are the main approach to utilizing clean energy in distribution networks(DNs).Compared with synchronous source,fault response of IBDG is very *** a result,in DNs with high penetration of IBDGs,legacy protection schemes will no longer be *** this paper,an energy-based directional pilot protection scheme suitabie for DNs with IBDGs is *** scheme considers the large range of phase angle caused by IBDG integration and uses improved energy polarity criterion to determine fault *** addition,magnitude of energy is used to distinguish between faults and load switching to overcome maloperation of directional pilot protection caused by internal unmeasured load *** proposed scheme first uses local measured information to determine fault direction sign and then exchanges the direction sign with the remote *** scheme does not require high-bandwidth communication and strict data synchronization,so it can be implemented at a low ***,simulation studies verify effectiveness of the proposed scheme.

关键词： Distribution network energy polarity inverterbased distributed generation pilot protection unmeasured load

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Distributed Stochastic Security Constrained Unit Commitment for Coordinated Operation of Transmission and Distribution system

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CSEE Journal of power and Energy systems 2021年第4期7卷 708-718页

作者： Aamir Nawaz Hongtao Wang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong UniversityJinan 250000China

With the high penetration of renewable energies in modern power systems,deterministic coordination algorithms are facing two major problems:one is degradation in accuracy if fewer scenarios are utilized for uncertainty evaluation while second is the high computational time if a high number of scenarios are considered for better accuracy・In both cases,the efficiency of the algorithm is degraded・To solve these problems in coupled transmission system and distribution systems(TSDS),probabilistic coordination algorithms are adopted to solve with less *** this paper,a TSDS probabilistic coordination model is proposed to solve the coordinated security-constrained unit commitment problem.A mean and standard deviation matching based probabilistic analytical target cascading algorithm has been utilized for evaluation of TSDS coordination *** of solving each scenario as a separate problem,the proposed algorithm considers a single coordination problem with probabilistic characteristics as shared variables and hence,achieves fast convergence・Different case studies are performed to prove the efficacy of the proposed *** verify that the proposed algorithm reduces computational time and resources for large-scale systems.

关键词： Distribution system mean probabilistic analytical standard deviation target Cascading transmission system

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control Strategy of MMC Battery Energy Storage system under Asymmetrical Grid Voltage Condition

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Chinese Journal of Electrical Engineering 2016年第2期2卷 76-83页

作者： Lei Zhang Feng Gao Nan Li Key Lab of Power System Intelligent Dispatch and Control(Shandong University) Ministry of EducationJinan250061China

A battery energy storage system using modular multilevel converter(MMC)as the interfacing converter could have several inherent advantages when compared with battery energy storage systems based on two-level inverter or cascaded H-bridge *** can manage the state-of-charges(SOCs)of all batteries to be equal to avoid the overcharge or over discharge of single *** inherent power exchange characteristics using circulating currents could increase the control flexibility and consequently improve the output quality and the internal regulation *** paper investigates the operational principle and control strategy of MMC battery energy storage system under unbalanced grid voltage condition,where key issues of system model and corresponding control methods are very different from those under the normal grid voltage *** injected de current control,SOC balancing control and circulating current control methods are fully discussed in this ***,the theoretical findings were verified through Matlab simulation and a scaled down experimental prototype.

关键词： Modular multilevel converters(MMC) battery energy storage system circulating current asymmetrical grid voltage

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CIRCUIT-BENDING A VINTAGE CASIO AN ′80S SYNTHESIZER IS REBORN AS AN AVANT-GARDE INSTRUMENT

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IEEE SPECTRUM 2016年第5期53卷 24-26页

作者： Cass, Stephen Smil, Vaclav Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China STMicroelectronics Crolles France

I've been increasingly intrigued by electronic music, sparked in large part by covering an exhibition of designer theremins for IEEE Spectrum in 2013, followed by watching documentaries such as 2014's I Dream of Wires, which traces the history of the modular synthesizer. One notable cohort in the modern electronic music scene are the circuit benders. These folks modify all sorts of audio-enabled equipment, including children's toys and digital keyboards, to produce sounds definitely not intended by the designers. So when I came across the Casio SK-5 keyboard I'd received for my 14th Christmas lurking in my parents' attic, I pounced. Released in 1987, and aimed at younger players, the Casio SK-5 was never intended to be used by serious musicians. The keyboard had only 32 "minikeys" sized for smaller fingers, and it could play just four notes simultaneously. The SK-5 could mimic a number of instruments, but its killer feature was that you could create your own instrument sounds through sampling audio (at a whopping 8-bit resolution).

关键词： Timing circuits

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Hybrid Solar Forecasting Method Using Satellite Visible Images and Modified Convolutional Neural Networks

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IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS 2021年第1期57卷 5-16页

作者： Si, Zhiyuan Yu, Yixiao Yang, Ming Li, Peng Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250000 Peoples R China

With the increase of solar photovoltaic (PV) permeability in power systems, high-precision PV power forecasting is critical to secure the economic operation of the smart grid. Solar irradiance is the most important factor affecting PV power. Accurately estimating the amount of solar irradiance leads to better production estimates from solar panels. Meanwhile, satellite images provide information on current and future cloud coverage, and are potentially useful in inferring solar irradiance. To accurately capture the effect of cloud on irradiance, this article develops a real-time mapping model between satellite image and solar irradiance. Based on the mapping model, a new ultrashort-term global horizontal irradiance (GHI) forecasting method combining satellite visible images and meteorological information is proposed. First, a modified method is utilized for reducing the influence of the solar zenith angle on pixel intensity and extracting the features in the image processing stage. Then, the cloud cover factors are extracted from satellite visible images by using the modified convolutional neural network. After that, the GHI forecasting model is developed, which is based on the combined use of meteorological information and cloud cover factors. Meanwhile, a cloud motion forecasting method using predicted wind speeds is developed for discussion. The better performance of the proposed method is demonstrated by comparing it with several benchmark models.

关键词： Satellites Clouds Forecasting Predictive models Image processing Wind forecasting Convolutional neural networks (CNNs) forecasting hybrid methods image processing irradiance satellite images

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ADMM-based Distributed State Estimation for Integrated Energy system

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CSEE Journal of power and Energy systems 2019年第2期5卷 275-283页

作者： Yaxin Du Wen Zhang Tingting Zhang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong UniversityJinan 250061China

In order to have an accurate knowledge of system-wide operation states,it is necessary to perform state estimation for the integrated energy system(IES)as the basis of energy man-agement and *** state estimation is practically infeasible for IES due to the unreliability of communication,the barrier on privacy,and the large scale of integrated *** paper proposes a distributed state estimation algorithm based on the alternating direction method of multipliers(ADMM)for IES containing electricity,heat,and natural *** coupling units are taken into full consideration in modeling of IES state estimation to reflect the harmonization of multi *** the basis of bilinear measurement model,the state estimation considering nonlinear measurements can be replaced by an equivalent three-stage problem containing two linear state estimations and an intermediate transformation to avoid non-convex *** three-stage procedure for IES state estimation can be further decoupled over three sub-systems with coordination on coupling units,yielding a fully distributed scheme based on ADMM.A modified ADMM with the self-adjusting penalty parameter is also adopted to enhance the *** results demonstrate the validity and superiority of the proposed algorithm.

关键词： Alternating direction method of multipliers coupling units distributed state estimation integrated energy system

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