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Cyber-Energy Systems and Intelligent Energy (ICCSIE), International Conference on
2024 Second International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)
17-19 May 2024
Showing 1-25 of 139
Proceedings
The proceedings of this conference will be available for purchase through Curran Associates.
61360- ICCSIE, 2024 (PRT)
- Print on DemandPurchase at Partner
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Research on the Influence of Model Parameters on the Output Characteristics of Photovoltaic Arrays in Dynamic Environment
Publication Year: 2024,Page(s):1 - 6
Studying the output characteristics of photovoltaic cells forms the foundation for the design of photovoltaic power systems and the tracking of maximum power points. The output characteristics of the cell model are determined by changes in its parameters. The impact of series resistance, environmental illumination, and temperature variations on the output of photovoltaic cells within the framework...Show More
Analysis of Brazil's 8·15 Major Power Outage Accident and its Implications for Liaoning Power Grid
Wu HongZhang;Zhang XuYang;Zhou BoWen;Yang YueMing;Shao GuoHui;Deng LinJiang
Publication Year: 2024,Page(s):1 - 6
On August 15, 2023, due to a series of chain reactions after the 500 kV line reclosing accidental tripping action, a large-scale power outage occurred in the Brazilian power grid. The Brazilian power grid was divided into the northern power grid, the northeastern power grid, and the southeast-south-central power grid. The three parts of the Western Power Grid, 25 Brazilian states and the federal d...Show More
A Lightweight Network for Sign Detection on Radiographic Weld Images
Zhen Zhao;Jinhai Liu;Zhaoyi Wang;Rui Li;Kuan Fu;Fengyuan Zuo
Publication Year: 2024,Page(s):1 - 5
Weld signs contain a great deal of information related to pipe welds. Realizing efficient sign detection is crucial to weld quality assessment. Existing two-stage algorithms have achieved high accuracy in sign detection, however, higher speed is also required in practical engineering. In order to detect signs more efficiently, we propose an end-to-end sign detection method based on one-stage objec...Show More
Rotor Position Estimation Method of Permanent Magnet Synchronous Motor Based on Loss Function Optimization
Publication Year: 2024,Page(s):1 - 6
In order to improve the robustness and stability of permanent magnet synchronous motor rotor position estimation, a rotor position estimation method based on loss function optimization is proposed. Firstly, the adaptive observer of permanent magnet synchronous motor is designed to realize the real-time observation and estimation of the motor speed and position Angle. Then, the error between the ve...Show More
Estimate-Based Output Feedback Stabilization of a Class of Nonlinear Systems Against DoS Attacks
Publication Year: 2024,Page(s):1 - 6
In this paper, the global stabilization of networked control systems experiencing nonlinear uncertainty and suscep-tible to denial-of-service (DoS) attacks is demonstrated. This stabilization is achieved through the utilization of a resilient event-triggering mechanism operating under extended triangular linear growth conditions, employing feedback control techniques with discrete-time output feed...Show More
Research on Optimal Scheduling Strategy of Virtual Power Plant Multi-Operation Scenarios Based on Deep Reinforcement Learning
Hongyuan Ma;Guangdi Li;Yaodong Zhang;Jianghao Hu;Qianqian Wu
Publication Year: 2024,Page(s):1 - 6
The uncertainty in the prediction of renewable energy generation and power load brings great challenges to the safe and economic operation of virtual power plant (VPP), and a robust VPP optimization scheduling method is urgently needed. Traditional robust optimization scheduling methods are conservative in selecting the uncertain condition set, which makes it difficult to effectively reduce the op...Show More
Short-Term Load Probability Forecasting Based on Fuzzy Clustering and Quantile Regression with Minimum Gate Unit
Publication Year: 2024,Page(s):1 - 6
Load forecasting is an important basis for power system planning and design, facing the energy demand of users in different time periods. There is an issue of data imbalance in training load historical curve data. In this context, this paper proposes a short-term load forecasting method based on fuzzy clustering and minimum gate unit quantile regression. Firstly, the fuzzy C-means clustering algor...Show More
A Self-Adaptive Harris Corner Detection Algorithm Based on Image contrast Areas
Publication Year: 2024,Page(s):1 - 4
Largely for this reason that the threshold value of Harris algorithms can only be set by experience, corner is difficult to be contrasted in areas of image contrast. A new adaptive algorithm is proposed in this paper. Firstly, image pixels are selected by Sudoku method. Secondly, image contrast can be confirmed in area of above-mentioned pixels by calculating local mean square error. Finally, the ...Show More
Optimized Scheduling for Zero-Carbon Eco-Parks with Biomass Units Peaking Operation
Publication Year: 2024,Page(s):1 - 6
Biomass energy is an abundant renewable energy source, but currently biomass combined heat and power (CHP) units have a strong thermal-electric coupling and limited flexibility. This leads to increased curtailment rates for other new energy sources. To address the aforementioned issues, this study establishes a zero-carbon energy system incorporating electric heat pumps, thermal storage tanks, ene...Show More
Research on the regional integrated energy optimization operation of CCS and hydrogen energy utilization system under stepped carbon trading
Publication Year: 2024,Page(s):1 - 6
Driven by the national dual-carbon policy, the goal of reducing carbon emissions has become the main task facing us now. First of all, combined with the integrated demand response strategy, the model considers the carbon capture system combined with the hydrogen energy utilization system as the main framework of clean and low-carbon technology. At the same time, in order to improve the low-carbon ...Show More
Short-Term Prediction of Multi-Load in Integrated Energy Systems Based on Coupling Characteristic Analysis and Multi-Task Learning
Publication Year: 2024,Page(s):1 - 6
With the continuous development of integrated energy technology and the diversification of users' energy demand, the current single load forecasting method is no longer satisfied with the requirements of multivariate load forecasting. The accurate prediction of multivariate load is related to the rationality of integrated energy systems operation scheduling. Therefore, this paper proposes a multit...Show More
Virtual Impedance-Based Reactive Power Sharing Strategy with Enhanced Voltage Quality for Islanded Microgrids
Publication Year: 2024,Page(s):1 - 6
In the islanded microgrids, the mismatch of line impedance can lead to an inaccurate distribution of reactive power, and the traditional virtual impedance control strategies may result in substantial bus voltage degradation. In this paper, a minimum-oriented adaptive virtual impedance (MAVI) control strategy is proposed to solve this problems. Firstly, by estimating the line impedance and combinin...Show More
Offensive and Defensive Strategy for Distribution Network CPS Considering EV Source-charge Bidirectional
Zhenqi Zhao;Jun Teng;Wenduo Yu;Fan Yang;Linjiang Deng;Bangpeng He
Publication Year: 2024,Page(s):1 - 6
The modern power system has developed into a cyber-physical system(CPS) in which power and information networks are highly interpenetrating. However, along with the large-scale grid integration of Electric Vehicles(EV), the modern power system's ability to consume new energy has been greatly increased while further reducing the network security of the distribution network. On this basis, this pape...Show More
Mixed Game Based Multi-Virtual Power Plant with Distribution Network Optimization Operation
Zhenqi Zhao;Yueming Yang;Linjiang Deng;Fan Yang;Minghui Ma;Zhilong Wang
Publication Year: 2024,Page(s):1 - 6
This paper study the cooperative management of multiple virtual power plants (VPPs) within the same distribution network. The objective is to orchestrate the scheduling of units, facilitate energy trading between peers within the VPP alliance. This is achieved by establishing electricity pricing via the distribution system operator (DSO). Additionally, shared energy storage is introduced within th...Show More
Flexible Resource Virtual Power Plant Aggregation Scheduling Method Considering Uncertainty and Demand Response
Pengfei Pan;Meng Zhao;Yongjun Gao;Xiru Wang;Ying Zhao;Hongyuan Ma
Publication Year: 2024,Page(s):1 - 6
In order to find a high-quality method to improve the Overall adjustable capability of VPP and the accuracy of the aggregation model, this paper proposes the management and interaction mechanism of VPP for flexible resources. Considering the demand response of the power side and the uncertainty of the power generation side, an aggregation model including power baseline, robust rolling optimization...Show More
A Simple Method to Synthesize ZIF-9 Metal-Organic Framework-Derived Co3o4 as Electrode Material for Supercapacitor
Publication Year: 2024,Page(s):1 - 5
In this paper, a unique structure with an outer porous block and an inner layered “house-like” structure was prepared through the low-temperature thermal decomposition of bulk ZIF-9. This structure effectively prevents accumulation and greatly increases the specific surface area. The porous structure also ensures full contact between the electrode material and the electrolyte, thereby accelerating...Show More
The Energy Storage Configuration Strategy of Biomass Thermal Power Plant with Multi-Market Cooperative Operation
Publication Year: 2024,Page(s):1 - 6
Under the double background of the rapid expansion of the proportion of new energy and the marketization of electricity, fully tapping the ability of biomass thermal power plants to participate in the electricity energy market and ancillary service market can not only maximize the income of biomass thermal power plants, but also provide effective support for the safe operation of the power system....Show More
Resilient Control Strategies for Multi-Area Interconnected Power Systems: Combating External FDI Attacks with UIO and Adaptive Control
Publication Year: 2024,Page(s):1 - 6
This work proposes a robust control technique to mitigate false data injection (FDI) attacks on multi-region interconnected power systems. The strategy is based on unknown input observer (UIO) and adaptive control. In order to preserve system performance and stability, adaptive control technology dynamically modifies controller parameters based on estimates from UIO. The efficacy and resilience of...Show More
Combined Three-Phase PFC Converter and Control Based on Two-Switch Three-Level
Publication Year: 2024,Page(s):1 - 6
Three-phase power factor correction (PFC) is a necessity unit in high power electric vehicle charging station converters to obtain a high power factor on the AC side and especially to reduce the harmonic pollution of the grid. This paper proposed combined three-phase power factor correction (PFC) converter comprises of three single-phase two-switch three-level Boost converters. The converter offer...Show More
In the realm of power system operations, accurate load forecasting is paramount for effective planning and scheduling. Traditional models, however, struggle to adapt to the evolving complexity of power load structures. Addressing this gap, we introduce a novel load forecasting methodology employing a fusion model that integrates Convolutional Neural Network (CNN), Gated Recurrent Unit (GRU), and B...Show More
Research on Energy Management System in Electric Vehicles Based on Model Predictive Control Strategy
Publication Year: 2024,Page(s):1 - 6
With the development and progress of science and technology, microgrids have attracted extensive attention from industry players because of their broad development prospects, and also the energy management system in microgrids has been rapidly developed. Due to the intermittent and fluctuating characteristics of distributed power in microgrids, it will lead to the instability of system power suppl...Show More
Low-Carbon Economic Operation of an Integrated Energy System Containing Carbon Capture System and Hydrogen Energy
Guozhi Lu;Shujuan Yang;Mingguang Cui;Tong Wang;Xinyuan Qiao;Yingchun Wang
Publication Year: 2024,Page(s):1 - 6
So as to upgrade the low-carbon economy and promote multi-energy complementarity of the integrated energy system, a low-carbon economic operation and scheduling model of the integrated energy system, containing hydrogen energy, power to gas, combined heat and power system and carbon capture system, is proposed. Firstly, the operation architecture of the integrated energy system is proposed, and th...Show More
Global Consensus of Multi-agent Systems with Unknown Input Delay and State Delay by the Switching Predictor Feedback
Shujuan Yang;Guozhi Lu;Tong Wang;Mingguang Cui;Xinyuan Qiao;Yingchun Wang
Publication Year: 2024,Page(s):1 - 6
The consensus problem for the linear time-invariant multi-agent systems (MAS) with the input delay and the state delay is investigated. First, we divide the bound of the unknown input delay into subintervals as an estimate of it. Then, a controller is designed based on the input delay estimator to achieve the cooperative goal. Second, using Lyapunov function, a logic-based switching mechanism is p...Show More
A Community Energy Management Method Based on Explainable Reinforcement Learning
Publication Year: 2024,Page(s):1 - 6
The construction industry is responsible for a substantial portion of final energy consumption (36%) and carbon dioxide emissions (39%), and this share is likely to rise as urbanization increases. This paper presents this model, which is based on HVAC (heating, ventilation, and air conditioning) systems. Utilizing reinforcement learning (RL), one can ascertain the most efficient strategy to reduce...Show More
Low-carbon Optimal Dispatching of Integrated Energy System Based on Ultra-supercritical Units
Xinyuan Qiao;Mingguang Cui;Mengze Sun;Shujuan Yang;Guozhi Lu;Yingchun Wang
Publication Year: 2024,Page(s):1 - 6
Currently, the power industry is still dominated by traditional coal-fired thermal power units. Ultra-supercritical (UCS) units are widely used in most areas of my country due to their large installed capacity and high cycle thermal efficiency. However, it produces large carbon emissions during the power generation process and fails to meet the demand for diversified energy sources in some regions...Show More
Proceedings
The proceedings of this conference will be available for purchase through Curran Associates.
61360- ICCSIE, 2024 (PRT)
- Print on DemandPurchase at Partner
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