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Multi-time Collaborative Restoration for Integrated Electrical-gas Distribution Systems Based on Rolling Optimization

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CSEE Journal of power and Energy Systems 2024年第2期10卷 660-671页

作者： Jingyang Yun Zheng Yan Yun Zhou Peichao Zhang Weidong Hu Key Laboratory of Control of Power Transmission and Conversion of Ministry of Education Department of Electrical EngineeringShanghai Jiao Tong University

This paper proposes a multi-time collaborative restoration model for integrated electricity-gas distribution sys-tems(IEGDSs)considering multiple resources after extreme weather *** on the linearized power flow constraints of the unbalanced electrical distribution system(EDS)and gas distribution system(GDS),this problem can be formulated as a mixed-integer linear programming(MILP)*** improve the efficiency and veracity of the solution,a rolling optimiza-tion based two-stage method is developed with the first stage solved by a linear approximation model,and the second stage solved by real-time updated rolling *** solving the MILP problem using rolling optimization,the proposed model and solution method achieve efficient and reliable collaborative restoration of IEGDS considering multiple resources and unbal-anced operation characteristics of *** effectiveness of the proposed model and method is validated by using an IEGDS made of a 37-bus unbalanced EDS and 11-node *** Terms-Electricity-gas system,mix-integer linear programming,power system restoration.

关键词： Electricity-gas system mix-integer linear programming power system restoration

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Two-stage Optimal Scheduling of Community Integrated Energy System Considering Operation Sequences of Hydrogen Energy Storage Systems

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Journal of Modern power Systems and Clean Energy 2025年第1期13卷 276-288页

作者： Wei Kong Kai Sun Jinghong Zhao School of Electrical Engineering Naval University of EngineeringWuhanChina Department of Electrical Engineering State Key Laboratory of Power System Operation and ControlTsinghua UniversityBeijingChina

The hydrogen energy storage system(HESS)integrated with renewable energy power generation exhibits low reliability and flexibility under source-load *** address the above issues,a two-stage optimal scheduling model considering the operation sequences of HESSs is proposed for commercial community integrated energy systems(CIESs)with power to hydrogen and heat(P2HH)*** aims to optimize the energy flow of HESS and improve the flexibility of hydrogen production and the reliability of energy supply for ***,the refined operation model of HESS is established,and its operation model is linearized according to the operation domain of HESS,which simplifies the difficulty in solving the optimization problem under the premise of maintaining high approximate ***,considering the flexible start-stop of alkaline electrolyzer(AEL)and the avoidance of multiple energy conversions,the operation sequences of HESS are ***,a two-stage optimal scheduling model combining day-ahead economic optimization and intra-day rolling optimization is established,and the model is simulated and verified using the source-load prediction data of typical days in each *** simulation results show that the two-stage optimal scheduling reduces the total load offset by about 14%while maintaining similar operating cost to the day-ahead economic optimal ***,by formulating the operation sequences of HESS,the operating cost of CIES is reduced by up to about 4.4%.

关键词： Community integrated energy system(CIES) hydrogen storage operation sequence two-stage optimal scheduling

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Enhancement of ionic conductivity and fracture toughness by infiltrating porous Li_(0.33)La_(0.56)TiO_(3) pellets

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Journal of Rare Earths 2024年第2期42卷 392-398,I0006页

作者： Xiaojuan Lu Mingyang Duan Jingyu Xiang Yuning Liang Songtao Liu Hebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control Department of Environmental Science and EngineeringNorth China Electric Power UniversityBaoding071003China

Although solid-state lithium electrolytes have the potential to reduce the safety issues associated with organic liquid electrolytes,disadvantages such as low total conductivity,large interface impedance,and delamination of the interface due to cyclic stress still need to be *** solid-state lithium-ion conductor Li_(0.33)La_(0.56)TiO_(3)(LLTO) was prepared via a hydrothermal route by using CTAB as templates in this *** LLTO with micro-porous channels was obtained and the total conductivity is comparable to the non-porous *** LLTO pellets are infiltrated with the non-porous LLTO precursor solution,and the total conductivities of the infiltrated porous LLTO are all higher than those without *** infiltration,the porous LLTO calcined at 600℃ achieves the highest total conductivity,7.88×10^(-5) S/*** fracture toughness of the infiltrated LLTO is higher than that of the non-porous *** results demonstrate a new way to prepare solid-state lithium-ion conductors with high ionic conductivity and great tolerance to cyclic stress.

关键词： Perovskite Porous material Infiltration Ionic conductors Fracture toughness Rare earths

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Comparison of the feedback linearization plus LQR controller and the PID controller for greenhouse indoor climate

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International Journal of Agricultural and Biological engineering 2025年第1期18卷 74-82页

作者： Kidist Ameha Mengesha Gang-Gyoo Jin Yung-Deug Son Department of Electrical Power and Control Engineering Adama Science and Technology UniversityAdama 888Ethiopia Department of Mechanical Facility Control Engineering Korea University of Technology and EducationChungnam 31253Republic of Korea

Greenhouse environmental control systems can improve the growth and quality of the plants within greenhouses by keeping a constant *** climate is a multi-input multi-output system that is significantly affected by climate factors like temperature,relative humidity,and carbon dioxide *** to the nonlinearity and existence of coupling among climate factors,the designed controller should provide good control *** study proposed both the feedback linearization plus linear quadratic regulator(LQR)controller and the proportional-integral-derivative(PID)controller for indoor air temperature and humidity control of a greenhouse *** nonlinear greenhouse model was transformed into its equivalent linear form using input-output feedback ***,a proportional-integral type LQR controller was designed for the linear form to achieve the overall nonlinear feedback control *** addition,the practical PID controller was designed and its gains were tuned using a genetic algorithm by considering the integral of absolute error and control deviation,and the integral of squared error and control deviation.A set of simulation works done on the nonlinear model illustrates the effectiveness of the two control *** control methods,feedback linearization plus LQR and PID,demonstrated effective performance in both setpoint tracking and disturbance *** feedback linearization plus LQR controller exhibited superior disturbance rejection capabilities,characterized by reduced perturbation peaks and faster recovery ***,the PID controller demonstrated superior setpoint tracking performance with minimal overshoot.

关键词： greenhouse climate control feedback linearization plus LQR control PID control genetic algorithm

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Analysis on carbon emission reduction intensity of fuel cell vehicles from a life-cycle perspective

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Frontiers in Energy 2024年第1期18卷 16-27页

作者： Ziyuan TENG Chao TAN Peiyuan LIU Minfang HAN Fuel Cell and Energy Storage Center Department of Energy and Power EngineeringState Key Laboratory of Control and Simulation of Power Systems and Generation EquipmentTsinghua UniversityBeijing 100084China

The hydrogen fuel cell vehicle is rapidly developing in China for carbon reduction and *** paper evaluated the life-cycle cost and carbon emission of hydrogen energy via lots of field surveys,including hydrogen production and packing in chlor-alkali plants,transport by tube trailers,storage and refueling in hydrogen refueling stations(HRSs),and application for use in two different *** also conducted a comparative study for battery electric vehicles(BEVs)and internal combustion engine vehicles(ICEVs).The result indicates that hydrogen fuel cell vehicle(FCV)has the best environmental performance but the highest energy ***,a sufficient hydrogen supply can significantly reduce the carbon intensity and FCV energy cost of the current *** carbon emission for FCV application has the potential to decrease by 73.1%in City A and 43.8%in City *** only takes 11.0%–20.1%of the BEV emission and 8.2%–9.8%of the ICEV *** cost of FCV driving can be reduced by 39.1%in City *** improvement can be obtained with an economical and“greener”hydrogen production pathway.

关键词： hydrogen energy life-cycle assessment(LCA) fuel cell vehicle carbon emission energy cost

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Hybrid Flow Model of Cyber Physical Distribution Network and an Instantiated Decentralized control Application

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CSEE Journal of power and Energy Systems 2024年第6期10卷 2587-2596页

作者： Guanhong Chen Dong Liu Key Laboratory of Control of Power Transmission and Conversion Ministry of EducationDepartment of Electrical EngineeringShanghai Jiao Tong UniversityShanghai 200240China

With the access to large amounts of renewable energy sources(RES),operation uncertainty of distribution networks increases ***,adopting advanced information and communication technology,a cyber-physical distribution network(CPDS)provides the possibility to solve this problem via aggregative management of decentralized controllable ***,information flow in cyber space deeply interacts with energy flow in physical space,leading to a complexity in modeling,design and analysis of the whole control *** deal with this problem,a general hybrid flow model of CPDS is first proposed in this *** this model,the control process is abstracted into interactions among three types of cyber nodes through cyber *** mathematic model of cyber nodes and branches is developed as well as that of the controlled physical object for hybrid flow ***,based on the hybrid model,an instantiated application to compensate feeder power deviation caused by RES fluctuation through aggregative control of large-scale air-conditioners(ACs)is *** this application,coordinative control of the AC cluster is achieved through a decentralized control strategy with very little communication cost and very good privacy *** of numerical examples verify the correctness and flexibility of the hybrid flow model in reflecting interactions between cyber flow and energy flow as well as system *** proposed decentralized control strategy of the AC cluster is also proven to be effective and robust in FCE compensation.

关键词： Air-conditioner load cyber physical distribution network decentralized control feeder control error hybrid flow model mixed logical dynamic renewable energy source

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Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning

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IEEE/CAA Journal of Automatica Sinica 2023年第12期10卷 2233-2247页

作者： Hongyu Ding Yuanze Tang Qing Wu Bo Wang Chunlin Chen Zhi Wang the Department of Control Science and Intelligence Engineering School of Management and EngineeringNanjing UniversityNanjing 210093China the Department of Power Engineering and Process Machinery School of Mechanical and Power EngineeringEast China University of Science and TechnologyShanghai 200237China IEEE

Goal-conditioned reinforcement learning(RL)is an interesting extension of the traditional RL framework,where the dynamic environment and reward sparsity can cause conventional learning algorithms to *** shaping is a practical approach to improving sample efficiency by embedding human domain knowledge into the learning *** reward shaping methods for goal-conditioned RL are typically built on distance metrics with a linear and isotropic distribution,which may fail to provide sufficient information about the ever-changing environment with high *** paper proposes a novel magnetic field-based reward shaping(MFRS)method for goal-conditioned RL tasks with dynamic target and *** by the physical properties of magnets,we consider the target and obstacles as permanent magnets and establish the reward function according to the intensity values of the magnetic field generated by these *** nonlinear and anisotropic distribution of the magnetic field intensity can provide more accessible and conducive information about the optimization landscape,thus introducing a more sophisticated magnetic reward compared to the distance-based ***,we transform our magnetic reward to the form of potential-based reward shaping by learning a secondary potential function concurrently to ensure the optimal policy invariance of our *** results in both simulated and real-world robotic manipulation tasks demonstrate that MFRS outperforms relevant existing methods and effectively improves the sample efficiency of RL algorithms in goal-conditioned tasks with various dynamics of the target and obstacles.

关键词： Dynamic environments goal-conditioned reinforcement learning magnetic field reward shaping

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A New Topology of the High Step-Up Z-Source Three-Level DC-DC Converter 16

A New Topology of the High Step-Up Z-Source Three-Level DC-D...

引用

16th Annual power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2025

作者： Motamedi-Sedeh, Masoud Lahaghi, Seyed Amir Mohammad Abbasi-Moghaddam, Ali Zaker, Behrooz Farjah, Ebrahim Shiraz University Department of Power and Control Engineering Shiraz Iran

ISBN: (纸本)9798331533946

This paper presents a comprehensive discovery of the design and analysis of a high-step Z-source DC-DC converter that can outperform traditional converters in terms of voltage boost, efficiency, switching loss reduction, and reliability enhancement. The desired converter uses the properties of the Z network to achieve these advantages. This converter works through integration with the Z-source network, which benefits include continuous input current and voltage stress reduction on power semiconductor appliances. The principles of converter operation, analysis and its modeling are thoroughly reviewed to ensure a comprehensive understanding of its performance characteristics. The results of simulation show that the introduced converter can achieve a voltage increase in the range of 10 to 15 times the input voltage and by enabling efficiency improvement. These findings contribute to the advancement of technology and provide a suitable solution for various aspects, such as design of renewable energy systems, electric vehicles, and industrial power supplies. © 2025 IEEE.

关键词： DC-DC converter Step-up converter Three-level converter Z-source

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Low-Carbon Dispatching for Virtual power Plant with Aggregated Distributed Energy Storage Considering Spatiotemporal Distribution of Cleanness Value

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Journal of Modern power Systems and Clean Energy 2024年第2期12卷 346-358页

作者： Hongchao Gao Tai Jin Guanxiong Wang Qixin Chen Chongqing Kang Jingkai Zhu State Key Laboratory of Power System Operation and Control Department of Electrical EngineeringTsinghua UniversityBeijing 100084China Sichuan Energy Internet Research Institute Tsinghua University Chengdu 200016China Power Dispatching and Control Center of Shanghai Municipal Electric Power Company Shanghai 200122China IEEE

The scale of distributed energy resources is increasing,but imperfect business models and value transmission mechanisms lead to low utilization ratio and poor *** address this issue,the concept of cleanness value of distributed energy storage(DES)is proposed,and the spatiotemporal distribution mechanism is discussed from the perspectives of electrical energy and *** on this,an evaluation system for the environmental benefits of DES is constructed to balance the interests between the aggregator and the power system ***,an optimal low-carbon dispatching for a virtual power plant(VPP)with aggregated DES is constructed,where-in energy value and cleanness value are both *** achieve the goal,a green attribute labeling method is used to establish a correlation constraint between the nodal carbon potential of the distribution network(DN)and DES behavior,but as a cost,it brings multiple nonlinear ***,a solution method based on the convex envelope(CE)linear re-construction method is proposed for the multivariate nonlinear programming problem,thereby improving solution efficiency and ***,the simulation verification based on the IEEE 33-bus DN is *** simulation results show that the multidimensional value recognition of DES motivates the willingness of resource users to ***,resolving the impact of DES on the nodal carbon potential can effectively alleviate overcompensation of the cleanness value.

关键词： Distributed energy storage virtual power plant(VPP) spatiotemporal distribution low-carbon dispatching

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Intelligent Demand Response Resource Trading Using Deep Reinforcement Learning

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CSEE Journal of power and Energy Systems 2024年第6期10卷 2621-2630页

作者： Yufan Zhang Qian Ai Zhaoyu Li Key Laboratory of Control of Power Transmission and Conversion Ministry of EducationDepartment of Electrical EngineeringShanghai Jiao Tong UniversityShanghai 200240China.

With the liberalization of the retail market,customers can sell their demand response(DR)resources to the distribution company(Disco)through the DR aggregator(DRA).In this paper,an intelligent DR resource trading framework between Disco and DRA is proposed by exploiting the benefits of deep reinforcement learning(DRL).The hierarchical decision process of the two players is modeled as a Stackelberg *** the game,Disco is the leader who determines the retail price while DRA is the follower who responds to *** protect their privacy,a dueling deep Q-network(dueling DQN)is then constructed to model the bi-level Stackelberg game,such that the lower-level problem doesn’t need to reveal its detailed model to the *** the learning process,the uncertainties from the DRA’s baseline load and wind power are *** order to boost the robustness against the estimation error,the baseline load is discretized into symbols before being used as the input states of the dueling *** to mitigate the uncertainty of wind power,the scenario-based method is introduced when designing the *** demonstrate that the proposed dueling DQNbased method has good performance and is more robust against uncertainties.

关键词： Demand response economic interaction reinforcement learning stackelberg game uncertainty

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