Design and optimization of low torque ripple synchronous reluctance motorLi, Delin; Zhu, Li
doi: 10.1088/1742-6596/3011/1/012022pmid: N/A
Synchronous reluctance motors are synchronous motors that contain only reluctance torque. They are characterized by a simple structure, compact size, light weight, and high power density, making them attractive in various applications with promising future prospects. To address the issue of high torque ripple in traditional synchronous reluctance motors, a novel asymmetric motor structure is proposed based on the equivalent magnetic circuit model. This structure features an asymmetric design of the number of magnetic barriers and their occupancy rates. It is modeled and simulated using the finite element software JMAG. Subsequently, genetic algorithms were employed to optimize the span angle of each barrier layer. The outcome is an innovative synchronous reluctance motor with reduced torque ripple. Simulation results demonstrate that this motor exhibits significantly lower torque ripple and superior electromagnetic performance compared to traditional designs.
Low carbon scheduling strategy of electricity-heat integrated energy system considering carbon trading and demand responseWang, Xudong; Wang, Lin; Wang, Qiancheng; Yang, Ting
doi: 10.1088/1742-6596/3011/1/012011pmid: N/A
Addressing the challenge that the carbon emission trading market is progressively being incorporated into various industries, the existing scheduling strategies are characterized by high carbon quota performance costs and limited carbon reduction potential in demand. This paper studies a low-carbon optimization strategy of an electric-heat integrated energy system (IES), incorporating considerations of carbon quota trading and demand side. Firstly, considering the two trading targets of carbon quota and Chinese certified emission reductions (CCER), a carbon trading model that includes thermal power generation, renewable energy, and load is constructed with daily clearing frequency. Secondly, an electricity-heat IES low-carbon scheduling model is established, including carbon quota trading and demand response, aiming to maximize the system’s marginal revenue. Subsequently, an AMP-NSGA-II algorithm is proposed to address the established scheduling method. The simulation outcomes demonstrate that the proposed low-carbon scheduling strategy enhances the system’s boundary revenue by 8.7 % and decreases its carbon emissions by 13.2 %.
A two-stage ultra short-term load forecasting model for comprehensive energy based on FCMLiu, Zhaoye; Bi, Hongda; Zhu, Sihui; Liu, Zheng; Zhou, Botao
doi: 10.1088/1742-6596/3011/1/012002pmid: N/A
The dynamic scheduling requirements of a two-stage integrated energy system with single-layer variable step size are complex and diverse. When conducting ultra short-term load forecasting, it is difficult to confirm the forecasting results of different types of loads, and the degree of fitting with actual values is low. Therefore, a comprehensive energy two-stage ultra short-term load forecasting model based on FCM is proposed. In this study, we use DTW distance and Pearson distance to describe the horizontal and vertical shape similarity between load curves as initial clustering centers, set the number of cluster centers in FCM to match the type of load, iterate the membership degree of load to cluster centers and cluster center matrix using the comprehensive distance between load curves until the result conditions are met, and output the clustering results. Additionally, we calculate the distribution of predicted samples within the corresponding range of each clustering result and output two-stage ultra short-term load forecasting results. In the test results, the designed model achieved a high degree of fit between the predicted electric and hydrogen loads of the two-stage integrated energy system and the actual values, providing assistance in ensuring the smooth operation of the integrated energy system.
Adaptive virtual inertia control of energy storage doublyfed condenser considering the gradual recovery of rotational speedZhao, Shuqiang; Chen, Xubo; Wang, Hui
doi: 10.1088/1742-6596/3011/1/012044pmid: N/A
Under virtual inertia control, energy storage doubly-fed condenser can actively provide frequency support using rotor kinetic energy when the system is disturbed. However, due to the fixed coefficient of traditional virtual inertia control, it is difficult to balance the speed recovery of the condenser with system frequency stability and dynamic characteristics. Therefore, this article proposes an adaptive virtual inertia control method that considers the gradual recovery of condenser rotation speed. Firstly, the basic principles and virtual inertia control of energy storage doubly-fed condenser are analysed; Then, based on the real-time status of the camera speed, system frequency, and their rate of change in response to different types of load fluctuations, the condenser is adaptively controlled. This strategy allows the condenser to balance speed recovery during frequency periods; Finally, the effectiveness and superiority of the control strategy proposed in this paper were demonstrated through simulation verification. The simulation results show that the proposed control strategy improves the frequency response characteristics of the system and achieves gradual recovery of rotor speed.
A Demand response regulation method considering dynamic user propensitiesXie, Wenzheng; Ye, Yuhong; Li, Congfei; Yu, Ziqi; Liao, Bin
doi: 10.1088/1742-6596/3011/1/012073pmid: N/A
To address challenges in the intricate governance of customer resources within power grids heavily integrated with renewable sources, which lead to high demand response costs and low user satisfaction, a demand response regulation method considering dynamic user propensities is proposed. Firstly, the user-side aggregator (UA) is defined to participate in demand response. A model of dynamic user propensities is established to evaluate user satisfaction. Secondly, the optimization problem is set as minimizing the daily operation cost of the UA’s demand response. Finally, a demand response regulation optimization algorithm, utilizing enhanced reinforcement learning (RL), is introduced to address the optimization challenge. A soft update is performed by adjusting the network learning rate based on user satisfaction, allowing for greater flexibility. The study’s simulations indicate that the suggested method significantly cuts the daily operational expenses of demand response while satisfying users’ evolving economic and comfort needs.
Simulation-based study on the control strategy for PEMFC thermal management systemLi, Yuhan; Zheng, Zhifeng; Guo, Yangge; Cheng, Xiaojing; Yan, Xiaohui; Wei, Guanghua; Shen, Shuiyun; Zhang, Junliang
doi: 10.1088/1742-6596/3011/1/012020pmid: N/A
A control-oriented mechanism model and the corresponding control strategy for proton exchange membrane fuel cell (PEMFC) thermal management are developed based on internal model control (IMC). Additionally, a pre-stabilizing controller is introduced to improve the convergence of the proposed IMC-based strategy. The test results show that the IMC-based control strategies perform better responsiveness and robustness than the conventional PID-based strategy. The introduced pre-stabilizing controller is found to further improve the convergence to the target. Finally, it is also worth mentioning that the proposed IMC-based strategy and the corresponding optimized strategy achieve 46.8 % and 73.0 % lower ITAE of stack inlet temperature under dynamic load variation compared to the PID-based strategy, respectively, indicating their stronger dynamic tracking performance and the effective amelioration brought by the introduced pre-stabilizing controller, which presents practical value in PEMFC thermal management.
Identification and characterization of reservoir high permeability streak and its applicationZhang, Shichao
doi: 10.1088/1742-6596/3011/1/012036pmid: N/A
A method for quantitative characterization of high permeability streak is proposed, based on the statistics of permeability versus depth of core samples. This method solves the problem that macroscopic identification of high-permeability zones cannot be quantitatively characterized and improves the matching accuracy of reservoir simulation. In the reservoir simulation of water flooding in the S oilfield, the method was used to adjust three high permeability streaks in the model. The matching accuracy was significantly improved in the comparison before and after the adjustment. This method of identifying and characterizing high permeability streaks provides a new idea for future reservoir simulation of similar oilfields.
Consideration of the optimization of the regional power supply structure of new energy sourcesZhao, Shuqiang; Zhou, Peiwen; Suo, Xun
doi: 10.1088/1742-6596/3011/1/012079pmid: N/A
To realize the energy transition, the proportion of new energy in the power supply structure will continue to increase, for the power supply planning, to realize the efficient use of new energy, it is necessary to reasonably configure the installed capacity of different types of power supply, to ensure the new energy consumption. This paper firstly analyzes the power model of the new energy-containing power system and the characteristics of wind-scenery complementarity, and then, to minimize the total cost of power generation and make full use of wind-scenery complementarity, applies the theory of complex adaptive systems to the regional power supply planning, and constructs a power supply planning model based on the theory of complex adaptive systems. Finally, by simulating and analyzing the actual power grid in a region, the power structure of its original power system is re-planned and compared with the genetic algorithm. The results show that the total power generation cost is reduced, the new energy consumption is increased, and the fossil fuel consumption is reduced under the constraints of power and power balance, which verifies the effectiveness and feasibility of the model.
Research on capacity configuration method of integrated energy system considering V2G energy storage characteristicsYuan, Xia; Chen, Dan; Zhou, Jialong
doi: 10.1088/1742-6596/3011/1/012029pmid: N/A
With the rapid increase in the number of electric vehicles (EVs), their potential as mobile energy storage units has garnered significant attention. Vehicle-to-grid (V2G) technology, which enables bidirectional interaction between vehicles and the grid, presents new opportunities for the development of integrated energy systems (IES). To address the issue of energy storage capacity configuration after integrating EVs into IES, a two-layer optimization model has been established for IES capacity configuration that considers V2G energy storage characteristics. The outer layer optimizes a single objective, which is the sum of the IES operating cost and the average investment cost of the energy storage system over its lifecycle. The inner layer optimizes multiple objectives, including IES operating cost, wind and solar curtailment rate, and EV charging cost. The research results demonstrate that the proposed capacity configuration optimization model effectively optimizes the system’s energy storage capacity and significantly improves the economic benefits for all stakeholders.
Analysis and study on the law of the simultaneous load rejection and rejection of one machine under different S CharacteristicsCao, Chunjian; Fang, Jie; Wang, Haozhen; Zhang, Yuanjie
doi: 10.1088/1742-6596/3011/1/012065pmid: N/A
In order to explore the variation law of the full characteristic curve S of pumpturbine under different shutdown laws on the adjustment and protection parameters under the condition of simultaneously rejecting the operation of one unit, based on the numerical model of a proposed pumped storage power station, the approximate full characteristic curve of the head section was adopted to simulate the variation trend of the unit’s running track line and the position of the extreme point by giving the shutdown law interval and changing the shape of the S zone. The corresponding rule characteristics are obtained by summarizing and analyzing the calculation results. The results show that the extreme value of the regulating parameters related to the unit in the running process of both the rejector unit and the normally closed unit will still be affected by the shape of the S zone near the opening line. Regardless of the position of the escape point, with or without the rejector, the influence on the maximum speed rise rate is very small as the slope of the S zone increases. However, the maximum volute pressure and the minimum draft tube pressure of the unit are optimized correspondingly, which are very sensitive to the change of S characteristics, and also verify the accuracy and applicability of the corresponding law under the condition of successive rejection.