- 标题
- 摘要
- 关键词
- 实验方案
- 产品
-
A Novel Modified Sine-Cosine Optimized MPPT Algorithm for Grid Integrated PV System under Real Operating Conditions
摘要： This research work presents a modified sine-cosine optimized Maximum Power Point Tracking (MPPT) algorithm for grid integration. Developed algorithm provides a maximum power (PV) panel and simplified extraction implementation with benefit high convergence velocity. Moreover, the performance and ability of Modified Sine-Cosine Optimized (MSCO) algorithm equated with recent Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC) algorithms for comparative observation. Practical responses analyzed under steady state, dynamic and partial shading conditions by using dSPACE real controlling board laboratory scale hardware implementation. The MSCO based MPPT algorithm always shown the fast convergence rate, easy implementation, less computational burden and accurate to track the optimal PV power under varying weather conditions. Experimental results provided in the article clearly shown the validation of the proposed algorithm.
关键词： Maximum Power Point Tracking,Photovoltaic,Artificial Bee Colony,Particle Swarm Optimization,Sine-Cosine Optimized
更新于2025-09-23 15:23:52
-
Design of optimised linear quadratic regulator for capsule endoscopes based on artificial bee colony tuning algorithm
摘要： Wireless Capsule Endoscope (WCE) is a new medical device that can be used for examining the whole digestive tract if effectively actuated. In this paper, a new three-coil actuator is proposed for the capsule endoscope navigation system. The proposed system, which is based on the current-controlled magnetic levitation concept, utilises a small permanent magnet within the capsule body and an arrangement of controlled electromagnet actuator placed on a movable frame. The dynamics of the proposed control system is modelled mathematically and then formulated in state space form. In this research, the Linear Quadratic Regulator (LQR) technique is used for designing a 3DOF controller for the capsule actuation system. Artificial Bee Colony (ABC) tuning algorithm is used for obtaining optimum values for controller gain parameters. The optimised LQR controller is simulated by using the Matlab/Simulink tool, and its performance is then evaluated based on the stability and control effort parameters to validate the proposed system. Finally, the simulation results suggest that the LQR controller based on the ABC optimisation method can be adopted to synthesise an effective capsule actuation system.
关键词： electromagnetic actuator,linear quadratic regulator (LQR),wireless capsule endoscope (WCE),artificial bee colony (ABC)
更新于2025-09-23 15:22:29
-
[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Hybrid Intra-hour Solar PV Power Forecasting using Statistical and Skycam-based Methods
摘要： In this paper, we propose an improved discrete artificial bee colony (DABC) algorithm to solve the hybrid flexible flowshop scheduling problem with dynamic operation skipping features in molten iron systems. First, each solution is represented by a two-vector-based solution representation, and a dynamic encoding mechanism is developed. Second, a flexible decoding strategy is designed. Next, a right-shift strategy considering the problem characteristics is developed, which can clearly improve the solution quality. In addition, several skipping and scheduling neighborhood structures are presented to balance the exploration and exploitation ability. Finally, an enhanced local search is embedded in the proposed algorithm to further improve the exploitation ability. The proposed algorithm is tested on sets of the instances that are generated based on the realistic production. Through comprehensive computational comparisons and statistical analysis, the highly effective performance of the proposed DABC algorithm is favorably compared against several presented algorithms, both in solution quality and efficiency.
关键词： dynamic operation skipping,Artificial bee colony (ABC) algorithm,hybrid flexible flowshop (HFF),heuristic
更新于2025-09-23 15:21:01
-
[IEEE 2019 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA) - Chengdu, China (2019.11.13-2019.11.15)] 2019 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA) - A Ku-band CMOS 6-bit Digital-Controlled Phase-Invariant Variable Gain Amplifier and Attenuator
摘要： In this paper, we propose an improved discrete artificial bee colony (DABC) algorithm to solve the hybrid flexible flowshop scheduling problem with dynamic operation skipping features in molten iron systems. First, each solution is represented by a two-vector-based solution representation, and a dynamic encoding mechanism is developed. Second, a flexible decoding strategy is designed. Next, a right-shift strategy considering the problem characteristics is developed, which can clearly improve the solution quality. In addition, several skipping and scheduling neighborhood structures are presented to balance the exploration and exploitation ability. Finally, an enhanced local search is embedded in the proposed algorithm to further improve the exploitation ability. The proposed algorithm is tested on sets of the instances that are generated based on the realistic production. Through comprehensive computational comparisons and statistical analysis, the highly effective performance of the proposed DABC algorithm is favorably compared against several presented algorithms, both in solution quality and efficiency.
关键词： dynamic operation skipping,Artificial bee colony (ABC) algorithm,hybrid flexible flowshop (HFF),heuristic
更新于2025-09-19 17:13:59
-
Grasshopper optimization algorithm utilized Xilinx controller for maximum power generation in photovoltaic system
摘要： A novel Grasshopper Optimization (GOA) based Xilinx System Generator (XSG) controller is proposed for the purpose of evaluating the Maximum Power Point Tracking in the grid integrated Photovoltaic (PV) power generation system. The proposed controller functions with the assistance of the GOA algorithm and the XSG procedures. The innovation of the controller is intended to collect the maximum power produced from the PV array in accordance with the solar irradiance and temperature of the array. The proposed GOA algorithm based XSG controller is achieved by maximum power from the PV array, it is necessary to adjust the switching signal for the voltage source inverter (VSI). The proposed PV structure is elegantly designed in the mighty platform of the MATLAB/Simulink and the switching schemes are produced in accordance with the XSG controller. At last, the output response of the presented GOA based XSG controller is analyzed and compared with conventional techniques such as the Particle Swarm Optimization (PSO) and the Artificial Bee Colony (ABC) algorithms.
关键词： Voltage source inverter,Maximum power point tracking,Artificial bee colony,Particle swarm optimization,Photovoltaic array,Grasshopper optimization algorithm,Xilinx system generator controller
更新于2025-09-19 17:13:59
-
[IEEE 2019 2nd International Conference on Artificial Intelligence and Big Data (ICAIBD) - Chengdu, China (2019.5.25-2019.5.28)] 2019 2nd International Conference on Artificial Intelligence and Big Data (ICAIBD) - ABC-SVM and PSO-RF Model for Photovoltaic Forecasting Based on Big Data
摘要： Prediction of photovoltaic output is of great significance to the stable operation of microgrid system. Firstly, the artificial bee colony based support mechine (ABC-SVM) method is used to train historical meteorological data and photovoltaic output data, which can divide the weather condition into four categories. Secondly, tens of thousands of data are selected under four types of meteorological conditions, and each group of data is trained by particle swarm optimization based random forest (PSO-RF) model. After training, the four different PSO-RF model with different parameters can be obtained for the photovoltaic forecasting individually. Finally, we collect weather information and photovoltaic data from a microgrid station in Yangjiang Guangdong province to test our combined model. Numerical results show that the proposed approach achieves better prediction accuracy than the simple SVR and traditional RF methods.
关键词： random forest,support vector machine,particle swarm optimization,artificial bee colony
更新于2025-09-16 10:30:52
-
Photovoltaic Expansion-Limit through a Net Energy Metering Scheme for Selected Malaysian Public Hospitals
摘要： This paper presents an optimization approach in determining the expansion-limit of Renewable Distributed Generation (DG) capacity through a Net Energy Metering (NEM) scheme specifically for selected Malaysian public hospitals. In this study, the total line loss reduction was analyzed and set as the main objective function in the optimization process where an acceptance region for DG extensiveness was proposed via the lower total line loss outcome value. Solar photovoltaic (PV)-type DG unit (PV-DG) was identified as the type of DG used in this paper. Artificial Bee Colony (ABC) algorithm was chosen to alleviate such PV-DG optimization. The distribution network uses a bus and line data setup from the three selected Malaysian public hospitals prior to three different levels, i.e., National, State, and District level hospitals. MATLAB simulation result showed the PV-DG expansion capacity towards bigger scale and location bounded by the U-trajectory shape theory which resulted in a contradiction between NEM current maximum capacity requirement and actual PV-DG expansion-limit. These limitations were also found to be different among three different level hospitals, and the expansion-limit was tailored by their own distribution network parameters. Thus, this paper provides technical justification and gives the best option to the renewable energy (RE) developer for more effective PV-DG integration through the utilization of a NEM scheme. The importance of the study is portrayed in-depth towards achieving a more sensible and accurate way of estimating the outcome. This will encourage developers, building owners, and users in participating towards achieving potential benefits both in monetary and power system reliability improvement, specifically for Malaysian public hospital applications.
关键词： photovoltaic-type DG (PV-DG),maximum demand (MD),renewable energy (RE),artificial bee colony (ABC),distributed generation (DG),net energy metering (NEM)
更新于2025-09-16 10:30:52
-
[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - A simplified contactless method for outdoor photoluminescence imaging
摘要： In this paper, we propose an improved discrete artificial bee colony (DABC) algorithm to solve the hybrid flexible flowshop scheduling problem with dynamic operation skipping features in molten iron systems. First, each solution is represented by a two-vector-based solution representation, and a dynamic encoding mechanism is developed. Second, a flexible decoding strategy is designed. Next, a right-shift strategy considering the problem characteristics is developed, which can clearly improve the solution quality. In addition, several skipping and scheduling neighborhood structures are presented to balance the exploration and exploitation ability. Finally, an enhanced local search is embedded in the proposed algorithm to further improve the exploitation ability. The proposed algorithm is tested on sets of the instances that are generated based on the realistic production. Through comprehensive computational comparisons and statistical analysis, the highly effective performance of the proposed DABC algorithm is favorably compared against several presented algorithms, both in solution quality and efficiency.
关键词： dynamic operation skipping,Artificial bee colony (ABC) algorithm,hybrid flexible flowshop (HFF),heuristic
更新于2025-09-16 10:30:52