Power Strategy Research Articles

Control strategy for the core power in an accelerator drive sub-critical system

This paper reports the control strategy for the core power in an accelerator drive sub-critical (ADS) system. In an ADS system, the intense external neutron source provided by a proton accelerator coupled to a spallation target is used to drive a sub-critical reactor. The proposed control strategy is to control the reactor power by adjusting the proton beam power, where the beam power is adjusted by changing either the duty factor or the intensity of the proton beam. As an example, the reactor power control of the China initiative Accelerator Driven System (CiADS) facility has been studied by adjusting the beam power. Firstly, the beam power is set roughly by assigning a new duty factor, where the duty factor is set by changing the beam macro-pulse length and the pulse repetition rate of the proton beam. Both the pulse length and the repetition rate are assigned by a timing system. Secondly, the power is adjusted precisely by changing the beam intensity. To change continuously the beam intensity, an adjustable aperture is used to block the outer particles of the beam line in the accelerator. In order to evaluate the proposed control strategy, a CiADS core model is built based on the multi-node point reactor dynamics model. Three cases, the start of the facility, the decrease of core power and the increase of core power, have been simulated with the model. The simulation results indicate that the control strategy for the core power by changing either the duty factor or the intensity of the proton beam works very well during the operation of the facility.

Data-driven control of wind turbine under online power strategy via deep learning and reinforcement learning

This study proposes a data-driven wind turbine (WT) model predictive control (MPC) enhanced by a deep-learning (DL) radial basis function network (RBFN) and a reinforcement-learning (RL) deep Q-learning network (DQN). The RBFN provides comprehensive aerodynamic predictions, including thrust, torque, and power. Besides, the MPC linearization relies on the RBFN prediction to estimate force sensitivities. The DQN achieves an online power strategy (OPS) that solves the 2-degree-of-freedom (2-DOF) optimization of rotor speed and pitch angle, which can actively adjust power capture to meet different power requirements. The DQN adopts a novel bisection algorithm with a first-in-first-out (FIFO) queue for high-precision 2-DOF results. The MPC coordinates the permanent magnet synchronous generator (PMSG) and pitch servo, considering shaft rotation and tower movement. Compared with the maximum power point tracking (MPPT) and power reference point tracking (PRPT) based controls, the proposed RBFN-DQN-MPC reduces power fluctuation and ensures constant output. This study also compares the DQN with the categorical DQN (C51), which indicates that the DQN is more effective in the 2-DOF optimization. Hence, WTs enhanced by the DL-RL-MPC are intelligent and reliable for flexible wind generation.

The Rise of Her Economy in the New Media Era: An Innovative Study of Women's Consumption Power and Marketing Strategies

With the advent of the new media era, the rise of her economy has become a phenomenon that cannot be ignored, and the economic influence of women in the consumer market is also increasing. Starting from the perspective of consumer culture and based on domestic and international research results, this paper explores the behaviours and preferences of female consumers in the digital realm, derives the study of the alienation of female aesthetics and consumption in the consumer society, and grasps the behavioural characteristics of female consumption in general by linking theory to practice, as well as analyzing the effects of marketing strategies on social media platforms to reveal the evolution of the relationship between women, new media and the consumer market. The results of this study demonstrate the key role of new media in shaping women's consumption behaviour and highlight the importance of flexible marketing strategies in effectively engaging the female consumer base. Finally, the article reflects on the negative impact of the media's focus on women's issues in an era of proximity to the female psyche. The study provides practical insights for a deeper understanding of the she-economy phenomenon and for companies wishing to capitalise on the growing power of the female consumer in the digital age. In turn, it promotes socially virtuous consumption and the realisation of a truly equal, respectful and caring consumer market.

USING POWER STRATEGY ON STUDENTS’ DESCRIPTIVE TEXT WRITING ABILITY: IT’S EFFECTIVENESS

This study examines how well ninth-grade students at SMP Negeri 1 Rantau Utara use the POWER approach to improve their writing skills in descriptive texts. Because they don't want to learn how to write in English and because the approaches aren't engaging enough, the students' writing skills are poor. This issue needs to be taken into account because students' motivation to write in English will be impacted if they are not interested in learning the language. The study utilized a quasi-experimental design featuring a pre-test/post-test control group structure, as well as quantitative technique. The experimental group received teaching utilizing the POWER technique (Plan, Organize, Write, Edit, Revise), whereas the control group received standard writing instruction. Students from SMP Negeri 1 Rantau Utara's ninth grade made up the research's population. The study included sixty students, divided equally into thirty in the experimental group and thirty in the control group. Data analysis was conducted using the t-test in SPSS version 23, revealing a difference in writing proficiency between the students in the experimental and control groups. Evidence for this is the significance, or Sig. (2-tailed), which was reached 0.000<0,05, indicating the acceptance of Ha and the rejection of H0. According to the results of the aforementioned study, ninth-grade students at SMP Negeri 1 Rantau Utara can enhance their writing skills by utilizing the POWER Strategy.

Optimization of hydrogen production in multi-Electrolyzer systems: A novel control strategy for enhanced renewable energy utilization and Electrolyzer lifespan

In large-scale water electrolytic hydrogen production system based on renewable energy, the allocation strategy of hydrogen production power among multi-electrolyzers plays a critical role in the efficiency of renewable energy utilization and the quantity of hydrogen production, given a fixed power output from renewable energy sources. This paper considers the minimum hydrogen production power constraint of electrolyzer and proposes a novel control strategy for multi-electrolyzers. The operational phase of multi-electrolyzers is divided into two distinct phases: 1) the rapid start-up phase; 2) the equal power allocation phase. During the rapid start-up phase, by reducing the power of electrolyzer that has reached its rated power to a predetermined level and using this saved power to start another electrolyzer, this strategy ensures that electrolyzers can proactively and quickly exceed the minimum operational power threshold. Upon the activation of all electrolyzers, the system enters second phase, wherein the power is evenly allocated among all electrolyzers. Besides, this strategy employs a priority scheduling method to ensure the uniformity of operating times across all electrolyzers. Compared to the existing three control strategies, this proposed strategy demonstrates significant advantages in minimizing unused wind energy and optimizing the lifespan of electrolyzers. The effectiveness of proposed strategy is validated by the simulation result.

Agrarian Reform and Land Redistribution in Palu City: Addressing Post-Disaster Challenges

<em>This study investigates the implementation of agrarian reform policy in Palu City, Central Sulawesi Province. Adopting a qualitative research design, the study involved purposive sampling of five key informants. Data were collected through a combination of observation, in-depth interviews, and documentation, and analyzed descriptively. The findings, analyzed through the lens of Merilee S. Grindle's theory, identify two critical factors: the content of the policy and the context of its implementation. Regarding policy content: (1) The interests of both the implementers and the target groups—primarily the local community—were found to remain largely unaffected, socially and economically, as evidenced by the absence of opposition to the agrarian reform policy; (2) The benefits associated with the policy, particularly in enhancing community welfare through the establishment of agrarian reform villages, were perceived as significant; (3) The anticipated changes, such as the acquisition of new knowledge and skills by the community, were achieved; (4) The role of policymakers has been effectively institutionalized, as demonstrated by the Mayor’s Decree on the Agrarian Reform Task Force (GTRA), which has successfully engaged relevant stakeholders; (5) Despite encountering some challenges, the implementation of the agrarian reform policy has progressed effectively; (6) The resources allocated, particularly those from the Palu City Land Office, have been utilized optimally. In terms of the implementation context: (1) The power dynamics, interests, and strategies of the involved actors have been pivotal in driving the successful realization of the policy’s objectives; (2) The characteristics of the institutions and authorities involved have provided robust support for the policy’s implementation in Palu City; (3) Compliance and responsiveness within the implementation framework have been optimized, reflecting a strong commitment and support from the Palu City Government. The study concludes that the implementation of agrarian reform policy in Palu City has been effective and well-coordinated.</em>

Self-learning Markov prediction algorithm based aging-oriented gradient drop power control strategy for the transient modes of fuel cell hybrid electric vehicles

The power transients caused by switching from drive mode to brake mode in fuel cell hybrid electric vehicles (FCHEV) can result in significant degradation cost losses to the fuel cell. To address this issue, this study proposes a self-learning Markov prediction algorithm based aging-oriented gradient drop power control strategy. First, a real-time self-learning Markov predictor (SLMP) based on the traditional offline training Markov improvement is designed to predict the demand power and combined with the sequential quadratic programming (SQP) optimization algorithm to solve for the inner optimal demand power based on its global cost function minimization characteristic. On this basis, the fuel cell gradient drop power (FGDP) strategy is proposed to optimize the operating state of the vehicle powertrain under vehicle mode switching. This involves establishing a power gradient drop step based on considering the fuel cell hydrogen consumption cost and its lifetime degradation cost to further obtain the outer fuel cell demand power at the optimal step. And three execution modes are designed to trigger the FGDP strategy. Finally, by combining the above efforts, the SLMP-FGDP optimization control strategy is constructed. The numerical verification and hardware in loop experiments results show that the proposed improved SLMP can predict the vehicle demand power more accurately. Compared with the non-FGDP system, the SLMP-FGDP strategy can effectively near-eliminate the fuel cell power transient due to any braking scenario, thus effectively controlling the fuel cell lifetime degradation cost in a lower range and realizing a reduction of up to 52.21% of the fuel cell usage costs without significantly sacrificing the hydrogen fuel economy.

Ideas on how educators facilitate interprofessional learning through controversies

ABSTRACT Constructive controversies, where team members discuss their different opinions openly and politely, can stimulate interprofessional learning (IPL): the learning that occurs in the interactions between two or more different professions. However, in science-based controversies where members compete to be the expert learning becomes complicated. This paper constructs a model for a procedure of a science-based controversy and describes the conditions for IPL in such a setting. The basis for the model is an empirical study. Firstly, we describe how constructive controversies are conceptualised in the literature. We include literature on dialogic teaching and learning. Secondly, we describe how science-based controversies are conceptualised. Thirdly, we present the empirical study. Fourthly, we construct the model which focuses on mental health care professionals but is also applicable to other professionals. The findings suggest a model with three contextual factors which are connected to the use of power strategies and learning strategies. The model gives ideas for educators on why and how to use science-based controversies to facilitate IPL in teamwork. Indirectly a theory is introduced of how to strengthen IPL through controversies. The model is relevant in teaching how controversies which often concern what is best for the users/patients can be handled constructively.

The Europeanization of Wage Policy and Its Consequences for Labor Politics: The Case of Ireland

This article investigates the transnational labor politics associated with the Europeanization of wage policy, based on process tracing of Irish minimum wage regulation reforms over the past two decades. The policy struggle in Ireland started as an employer-led domestic challenge to market-embedding regulation and was then affected by two EU interventions on wage policy: one with a de-regulatory orientation (during EU-IMF conditionality) and one with a re-regulatory one (with the approval of the EU minimum wage directive). Findings show that differences in collective action undertaken by employers and trade unions to influence wage policy at the national level can be explained by the intersection of each actor’s preferences toward market-constraining or liberalizing labor regulation and their access to supranational (EU-level) institutions and support. This analysis contributes to debates on how transnational opportunity structures can alter labor’s and employers’ local power resources and strategies.

Rhetorical frames: a strategy of governmental power in international negotiations

Power comes not only as conventional Compulsory Power but also as Institutional, Structural, or Productive Power. We focus on under-explored Productive Power (the ability to produce and give meaning to social identities and capacities through discursive processes and practices) and the related strategy of rhetorical framing (using particular words or terms to characterise an issue and imply appropriate actions in line with that characterisation). Spotlighting the strategy’s dual offensive/defensive utility and relatively low resource requirements, we expect the strategy of rhetorical framing (and counter-framing) to be: (1) prevalent in inter-governmental negotiations, and (2) used even by conventionally ‘very weak’ states. Employing text analysis on over 5000 observations from the World Trade Organization’s (WTO) negotiation transcripts between 1995 and 2020, we confirm that states ‘weak’ in Compulsory Power are nevertheless wielding Productive Power and its related strategy of rhetorical framing. Whilst conventionally strong states emphasise a Reciprocation Frame (mutual concessions between states), conventionally weak states emphasise a Redistribution Frame (one-way concessions from some states to other states). Such findings make two important contributions: we exhibit the mechanics of an under-explored type of power and show what happens in international institutions when no single rhetorical frame dominates.

A modified droop-based decentralized control strategy for accurate power sharing in a PV-based islanded AC microgrid

This paper introduces a novel droop-based decentralized control scheme to address the power-sharing challenges within a PV-fed islanded AC microgrid. This novel approach integrates both conventional (P-f/Q-V) and virtual impedance concepts to optimize and manage the precise distribution of active and reactive power among parallel operating inverters posing a significant research challenge. The conventional droop control methods encounter limitations such as voltage and frequency deviations and inaccuracies in power-sharing due to line impedance disparities. To overcome these limitations, the proposed solution integrates an enhanced virtual impedance control loop alongside the conventional control loop (P-f/Q-V). The efficacy of this approach is showcased through simulations conducted using the OPAL-RT OP4510 simulator within the MATLAB/Simulink platform. The Real-time simulation outcomes confirm the efficiency of the suggested control strategy, guaranteeing precise distribution of both active and reactive power while upholding stable voltage and frequency profiles within the system.

Spatial repertoires of power in the production of mining territories in northern Cauca, Colombia: Between imposition and negotiation

Territorial conflicts driven by the expansion of various forms of mining have escalated in the Global South. This article builds on the concept of territorialization, which often highlights the control of sociogeographical spaces by powerful through legal and coercive strategies. While existing literature addresses these power dynamics and resistance by less powerful actors, there is a gap in exploring the microscalar interactions that shape these territorial struggles. This study, based on ethnographic interviews and participant observation in the Afro-Colombian territories of the Quinamayó river basin, contributes to critical scholarship by decoupling the logic of territorialization from a top-down domination approach, emphasizing instead the everyday interactions and power relations that underpin territorial control. We explore the production of new mining territorialities from a quotidian and relational perspective, focusing on spatial repertoires of power, or a range of power strategies and relations that update extractive geographies in time. We find that territorial appropriation is defined and transformed through everyday moments of imposition and negotiation between multiple actors with different degrees of power. This microscale perspective deepens the understanding of territorial production, showing how daily interactions transform people’s connection to the territory, and highlighting the context-specific, agency-driven nature of these processes.

Multifunctional Power Generators beyond Moisture Limitation

AbstractThe moisture‐enabled electricity generators (MEGs) represent an appealing clean power strategy within the realm of hydrovoltaic technology. However, their stable operation under all‐weather conditions is still challengeable due to the effect of ambient humidity. Herein, a self‐water‐storage MEGs with multifunctionality was developed. Gel textiles are employed as the proton‐release layer, while graphite fibers loaded with tin‐bismuth alloy liquid metal serve as water‐storing electrode. The gel textiles absorb water permeating down from the electrodes, releasing protons, which then react with the active electrode to enhance output performance. The experiment demonstrates that a device can generate a voltage of 0.55 V and a current of 7.08 μA after water storage, with a maximum power density of 1.14 μW·cm‐². The device's performance output can remain stable within a wide temperature range. The experiment confirms that the electrical output of the device originates from ionic diffusion, while density functional theory (DFT) and molecular dynamics (MD) calculations reveal the importance of the strong hydrolysis ability of the polymer and the high adsorption energy of the liquid metal for H3O+ on the output performance of the device. Furthermore, the integrated device has demonstrated effective applications in driving microelectronic devices, charging capacitors and, self‐powered health monitoring.

A multi-ship power sharing strategy: Using two-stage robust optimization and Shapley value approach

In recent years, the use of cold ironing (CI) has effectively reduced the carbon emissions of ships in port areas. However, due to the limitation of port CI quantity and power supply capacity, the power demand of some ships cannot be met. To solve this problem, this paper proposes a multi-ship power sharing strategy based on two-stage robust optimization and improved Shapley value method. Firstly, considering the uncertainty of ship photovoltaic power generation, a multi-ship power sharing model based on two-stage robust optimization is established. This model is a three-level optimization model with mixed integer variables, which is a NP-hard problem. In this paper, the nested column-and-constraint generation algorithm combined with duality theory and big-M method is used to obtain the optimal scheduling strategy of ship shared power, CI power and load demand response power. Secondly, an improved Shapley value method considering berth and remaining berthing time is proposed to realize the cost allocation in the process of ship power sharing. Finally, the effectiveness of the multi-ship power sharing strategy in reducing berthing costs and carbon emissions is verified by simulation. This method is expected to provide a new idea for the development of green ports.

Artificial intelligence enabled smart design and manufacturing of advanced materials: The endless Frontier in AI+ era

AbstractFuture‐oriented Science & Technology (S&T) Strategies trigger the innovative developments of advanced materials, providing an envision to the significant progress of leading‐/cutting‐edge science, engineering, and technologies for the next few decades. Motivated by Made in China 2025 and New Material Power Strategy by 2035, several key viewpoints about automated research workflows for accelerated discovery and smart manufacturing of advanced materials in terms of AI for Science and main respective of big data, database, standards, and ecosystems are discussed. Referring to classical toolkits at various spatial and temporal scales, AI‐based toolkits and AI‐enabled computations for material design are compared, highlighting the dominant role of the AI agent paradigm. Our recent developed ProME platform together with its functions is introduced briefly. A case study of AI agent assistant welding is presented, which is consisted of the large language model, auto‐coding via AI agent, image processing, image mosaic, and machine learning for welding defect detection. Finally, more duties are called to educate the next generation workforce with creative minds and skills. It is believed that the transformation of knowledge‐enabled data‐driven integrated computational material engineering era to AI+ era promotes the transformation of smart design and manufacturing paradigm from “designing the materials” to “designing with materials.”

Deciphering China’s higher education outreach paradigm in Southeast Asia: can a neo-tributary perspective work?

AbstractChina’s unprecedented economic rise has fueled scholarly debates about its mentality of power strategy. Pundits have approached China’s strategic objectives through its higher education outreach, with Confucius Institute expansion and international student recruitment as two mostly discussed pathways. Whereas their efforts have been largely oriented by Western lexicon including soft power and center-periphery dichotomy. China’s emerging engagements in higher education aid projects and partnerships, particularly along the Belt and Road, are rarely noticed. Adopting the Chinese history-based neo-tributary perspective as the theoretical lens, this study (re)conceptualizes China’s paradigm for global rise through its higher education export to Southeast Asia, encompassing language training, educational development assistance, student mobility, and institution/program partnerships. Data was collected from documentation, institutional data, and semi-structured interviews with 40 informants from Sino-Cambodian higher education programs. The results suggest that universities serve as a showcase for a more pragmatic Chinese exceptionalism, in which traditional Chinese worldview has been incorporated with scientific outward-looking Western ideals. A cultural recognition-seeking tactic has been experimented through telling stories of China’s attractive contemporary cultures and values in educational practices. China has relied more on utilizing higher education as a tool for short-lived economic incentives, diplomatic alliances, and image-building activities to yield quick returns. However, concrete higher education outreach practices remain scant. Neo-tributary perspective is helpful in systematically examining China’s power projection but still confined to its simplified presuppositions of Sino-centrism. It should integrate pluralistic concepts like tianxia and knowledge diplomacy to unveil China’s interactions with the ‘Global South’ and the ‘Global North’.

Study on the Path of Generative Artificial Intelligence Copyright Protection under the Strategy of Intellectual Property Power

Generative AI copyright protection is in response to the inherent requirements of AI development and intellectual property protection. At present, generative AI copyright protection faces problems such as insufficient legal basis for prevention and control mechanisms, unsmooth preventive systems, and poor operation mechanisms. Therefore, to solve the dilemma of generative AI copyright protection, it is necessary to take the principle of risk prevention as the concept, clarify the legal basis for generative AI copyright prevention, reasonably define the scope of generative AI, establish a multi-principal protection system to protect generative AI copyright, introduce diversified ways to help generative AI copyright maintenance, and set up a composite responsibility system to solidify the generative AI copyright protection bottom line, and establish an administrative protection system to protect the copyright protection bottom line. The bottom line of copyright protection is an administrative protection path to help generative artificial intelligence copyright protection efforts to promote the healthy development of the two in the integration.

Cascade control system design for a space nuclear reactor

Space nuclear reactors with high power density and long operational life are suitable for deep space exploration missions. The design and dynamics of space nuclear reactors are different from those of conventional reactors. Thus, it is necessary to develop a space reactor control system design and validation simulation system to study its dynamic characteristics and control strategy. In this study, a simulation system of the space reactor was established, and steady-state and dynamic calculations were performed to obtain the operating characteristics of the space reactor. Based on the operating characteristics of the space reactor, the control strategy of the space reactor was proposed, and the cascade control strategy of electric power was designed. The control performance was tested under typical operating conditions. The correctness and effectiveness of the control method was verified, and the proposed method provided a reference for space nuclear reactor control studies.

Coordinated Frequency Modulation Control Strategy of Wind Power and Energy Storage Considering Mechanical Load Optimization

When a doubly fed induction generator (DFIG) participates in primary frequency modulation by rotor kinetic energy control, the torque of the generator is changed sharply and the mechanical load pressure of the shaft increases rapidly, which aggravates the fatigue damage of shafting. In order to alleviate the fatigue load of shafting, energy storage was added in the primary frequency modulation of a wind turbine, and a coordinated frequency modulation control strategy of wind power and energy storage based on fuzzy control was proposed. The wind-storage frequency modulation power command was allocated to reduce the response speed of the wind turbine to alleviate the load pressure on the shafting by the fuzzy controller considering the rotor speed range and the state of energy storage charge, and the remaining demand power was supplemented by energy storage. Finally, the joint simulation model based on GH Bladed–Matlab was used to verify the effectiveness of the proposed control strategy. Compared with the traditional integrated control of virtual inertia, the proposed method can reduce the load pressure and fatigue damage of the shafting while satisfying the requirement of frequency modulation.

A Comprehensive Review on Smart Electromobility Charging Infrastructure

This study thoroughly analyses Smart Electromobility Charging Infrastructure (SECI), exploring its multifaceted dimensions and advancements. Delving into the intricate landscape of SECI, the study critically evaluates existing technologies, integration methodologies, and emerging trends. Through a systematic examination of literature and empirical studies, the article elucidates the evolving ecosystem of smart charging solutions, considering aspects including advancements in charging protocols. Additionally, the review highlights challenges and prospects in the SECI domain, providing insightful information for scholars, practitioners, and policymakers involved in the dynamic field of electromobility. Technical potentials, including functionalities and integration with the smart grid, have been thoroughly reviewed. An analysis is conducted on the effects of intelligent charging on power distribution systems and strategies to lessen these effects. This study also examines the development of intelligent charging algorithms, optimisation methods, and security analysis. This paper, therefore, contributes to fostering a more thorough comprehension of the current state and future trajectories of Smart Electromobility Charging Infrastructure.