Power Pattern Research Articles

Optimal Model Predictive Control for Virtual Inertia Control of Autonomous Microgrids

For the time being, renewable energy source (RES) penetration has significantly increased in power networks, particularly in microgrids. The overall system inertia is dramatically decreased by replacing traditional synchronous machines with RES. This negatively affects the microgrid dynamics under uncertainties, lowering the microgrid frequency stability, specifically in the islanded mode of operation. Therefore, this work aims to enhance the islanded microgrid frequency resilience using the virtual inertia frequency control concept. Additionally, optimal model predictive control (MPC) is employed in the virtual inertial control model. The optimum design of the MPC is attained using an optimization algorithm, the African Vultures Optimization Algorithm (AVOA). To certify the efficacy of the proposed controller, the AVOA-based MPC is compared with a conventional proportional–integral (PI) controller that is optimally designed using various optimization techniques. The actual data of RES is utilized, and a random load power pattern is applied to achieve practical simulation outcomes. Additionally, the microgrid paradigm contains battery energy storage (BES) units for enhancing the islanded microgrid transient stability. The simulation findings show the effectiveness of AVOA-based MPC in improving the microgrid frequency resilience. Furthermore, the results secure the role of BES in improving transient responses in the time domain simulations. The simulation outcomes are obtained using MATLAB software.

Vulnerable yet Viable: Stakeholders' Role in Small-Scale Fishermen Governance towards Viable Life

This research aimed at identifying stakeholders' participation in the appropriate strategy of small-scale fishermen governance in the waters of Karang Jeruk Conservation Area in facing vulnerability along with actor typology and analyzing the strategy of how small-scale fishermen survive with their vulnerability based on stakeholder. This research used a qualitative research paradigm. The data were collected using an in-depth interview method and were analyzed using stakeholder analysis with MACTOR (Matrix of Alliances and Conflicts Tactics, Objectives and Recommendations) to identify the stakeholders' power, relationship and actor alliance pattern and using ATLAS.ti to identify small-scale fisherman governance strategies by stakeholders. The research results show that most actors were the key players and had low divergence. Small-scale fishermen's governance strategy requires facilities, infrastructure, institution preparation, and community empowerment. Such development needs various parties' involvement, including the regulator, executor, supporting institution, target and community as the main actors.

Kinematics Analysis of Arms in Synchronized Canoeing With Wearable Inertial Measurement Unit

Synchronized canoeing is a cyclically repetitive sport, and two canoeists need to work in concert with each other’s power patterns and paddle movements to achieve great results. Most of the analyses of synchronized canoeing focus on the mechanics and work output of oars. This article proposes a motion-capture method based on inertial sensors. The extended Kalman filter method is used to fuse the sensor information and reconstruct human movements. Four sets of joint angular movement data of the shoulders and elbows of two canoeists are extracted, respectively, for kinematics analysis with correlation coefficient and dynamic time warping (DTW) method. The experimental results show that there is a significant correlation ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$r=0.9605$ </tex-math></inline-formula> ) between the shoulder joint angles of the synchronized canoeists. The DTW method can also clearly analyze the posture coordination of two canoeists. According to the analysis results of upper limb kinematics, this research can evaluate the synchronization effect of synchronized canoeing from the perspective of kinematics, help canoeists improve their technical movements, and help coaches reasonably select athletes with matching skills and styles.

Conditional Style-Based Generative Adversarial Networks for Renewable Scenario Generation

Day-ahead scenario generationof renewable power plays an important role in short-term power system operations due to considerable output uncertainty included. In this paper, a deep renewable scenario generation model using style-based generative adversarial networks followed by a sequence encoder network, is developed to generate accurate and reliable day-ahead scenarios directly from historical data through different-level scenario style controlling and mixing, thus achieving better characterization of renewable spatial-temporal dynamics. Meanwhile, the integration of meteorological information serving as conditions enables our model to precisely capture the complex diurnal pattern and seasonality difference of renewable power. From wind and photovoltaic power perspectives, the effectiveness of the proposed model is validated on two real-world datasets reflecting region aggregation level and distributed power station level respectively. Numerical results demonstrate the superiority of model performance through both the statistical and power system scheduling analysis, compared to three benchmarks.

Monocrops

ABSTRACT ‘Monocrops’ is a key concept needed to understand agrarian dynamics today. Strictly speaking, it means cultivation of a single crop in a transformed and simplified landscape. Broadly, it means the violent imposition of a pattern of power predicated upon the concentration of control over nature, labor, inputs, production, profits and knowledge, in the form of homogeneous, simplified landscapes. I examine the concept in relation to processes of empire and conquest and the modernization of agriculture through the Green Revolution and beyond. I discuss how thinking against monocrops can help us imagine how to create a more inclusive, just and healthy world.

Examining Deep-Level Diversity in Top Management Teams: Team Power Distribution and Team Cognitive Diversity

This empirical study draws on research in sociology and cognition to examine the relationship between two deep-level diversity constructs: team power distribution and team cognitive diversity. Team power distribution reflects the extent to which power is distributed among team members evenly (team power equality) or unevenly (team power inequality). Team cognitive diversity reflects the extent to which strategic beliefs are held in common by the whole team (strategic consensus) or subgroups within the team (strategic dissent). Rather than using demographic measures as proxies for team cognition, this study employs a cognitive elicitation method to capture the mental models of 342 top managers from 49 US hospitals. I find that distinct power patterns are associated with distinct patterns of cognitive diversity, which suggests that the extent to which power is distributed within the team may affect the extent of strategic consensus and dissent within top management teams (TMTs). These findings contribute to the growing literature on group processes and managerial cognition.

Letter Detecting the One-Shot Dummy Attack on the Power Industrial Control Processes With an Unsupervised Data-Driven Approach

Dear Editor, Dummy attack (DA), a deep stealthy but impactful data integrity attack on power industrial control processes, is recently recognized as hiding the corrupted measurements in normal measurements. In this letter, targeting a more practical case, we aim to detect the one-shot DA, with the purpose of revealing the DA once it is launched. Specifically, we first formulate an optimization problem to generate one-shot DAs. Then, an unsupervised data-driven approach based on a modified local outlier factor (MLOF) is proposed to detect them. To improve the detection performance, the measurements are preprocessed with the gamma transformation and the power patterns are extracted from historical data and integrated into the MLOF algorithm. Finally, extensive experiments are conducted to evaluate the performance of the proposed approach with real-world load data.

Time-Switching Symmetric Transmitter Array to Increase Sweet Region for Far-Field Wireless Power Transmission Under Receiver Rotation and Location Variation

For wireless power transfer using linear-polarized transmitter (TX) and receiver antennas, the rotation and movement of receiving antenna cause received power variation. The received power pattern is proposed to describe the received power variation from a specific TX antenna under receiver rotation. By placing the peak of the received power pattern of additional TX antennas in null directions of the previous TX antenna, received power variation due to rotation can be compensated. With symmetrically placed TX antennas, the power variation due to location variation can be compensated. This article proposes a time-switching symmetric transmitting array combining both techniques to increase the sweet region for far-field wireless power transfer under rotation and location variation. A sweet region is an area in the 2-D case or volume in the 3-D case, which is defined as an area or a volume inside the TX array that can get guaranteed minimum received power under rotation. The received power calculation using the Friis equation with short dipole antenna pattern shows that a symmetric TX array can achieve a larger sweet region than an asymmetric TX array under the same total transmitted power. The efficiency for the receiver at the origin is 1/2 at the 2-D case and 1/3 at the 3-D case. In the experiment, a linear-polarized TX array at 915 MHz with monopole receiver antenna and power detector is used as the receiver to measure received power under rotation and location variation. Measurement results at 2-D and 3-D cases confirm the received power level predicted by calculation using the Friis equation. The power budget calculation for wirelessly powering a sensor module attached on a bee inside a beehive using the proposed 3-D TX array shows that it is feasible to deliver sufficient power to the sensor module regardless of the orientation and location of the bee inside the beehive.

Performance Analysis of Dolph-Tschebyscheff Array for Different SLL and Array Length

A comprehensive analysis on performance of Dolph-Tschebyscheff distribution for different array length and side lobe levels has been presented in this paper. Dolph-Tschebyscheff array, which is a compromise between binomial and uniform array, produces optimum side lobe level, efficiency, and half power beamwidth, hence, it is referred to as optimum distribution. For a larger number of elements, the Tschebyscheff array demands higher side lobe suppression in order to avoid the abrupt amplitude distribution at the edges that results from more elements and lower side lobe suppression, at the same time, higher side lobe suppression decreases aperture efficiency and gain. These novel analyses have been carried out by computing parameters such as power pattern, first side lobe level, directivity and half power beamwidth. Plots for optimum SLL and critical SLL are derived for a range of array elements, which defines three regions assisting in selection of appropriate number of elements and desired major-to-minor lobe levels for linear/planar array antenna designs. Practical array analysis is proposed by approximating the amplitude of arrays’ end elements, whenever it becomes higher than their adjacent elements.

Inclusion and Influence: Patterns of Power and Social Influence Employed by Female Board Members

Inclusion and Influence: Patterns of Power and Social Influence Employed by Female Board Members

Spherical Random Arrays With Application to Aerial Collaborative Beamforming

Spherical volumetric arrays with randomly distributed elements are studied using geometrical probability theory. The array elements are considered as points of an isotropic homogeneous binomial point process (BPP), randomly located within a 3-D ball. The presented results are based on the distance distribution of the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula> th nearest element from the center of the ball. These elements are assumed to be the randomly distributed nodes of a wireless aerial network that cooperate to produce a beam toward a desired distant receiver. An alternative array elements’ distribution is also examined by placing a constraint to the distance of the farthest element and providing novel results on the average array factor, the average power pattern, and the directivity of the array. The half power beamwidth (HPBW), the peak sidelobe level (SLL), and the location of the peaks and nulls of the power pattern are examined in terms of the number of the array elements and the radius of the sphere. Finally, the impact of the location estimation errors on the performance of open-loop collaborative beamforming is examined both theoretically and using empirical simulation results.

A Novel Dynamic Load Scheduling and Peak Shaving Control Scheme in Community Home Energy Management System Based Microgrids

Load scheduling and peak demand shaving are two critical aspects of the utility grid operation that help both the grid operators as well as end-users. This paper proposes a two-stage community home energy management system for microgrids. The first stage deals with the dynamic clustered community load scheduling scheme. Comparatively flatter power demand was attained using particle swarm optimization (PSO) incorporating user-defined constraints. The new arising or remaining peaks as a consequence of consumer constraints are catered to in the second stage. The second stage proposes a rule-based peak shaving management method for the photovoltaic (PV) systems that are connected to the grid and the battery energy storage systems. The proposed technique determines the dynamic demand and feed-in limits based on the estimations of the upcoming day’s load demand and PV power profiles. Also, the study presents an optimal rule-based management technique for peak shaving of utility grid power that sets the charge/discharge day ahead schedules of the battery. For peak energy minimization, PSO is used to calculate the optimal inputs needed for implementing the appropriate rule-based management strategy. MATLAB is used to test the proposed method for different PV power and load demand patterns, thus, achieving an average improvement of 8.5%.

Disciplined Parenting Professionalism: FEPL, Changing Patterns of Power, Assumed Politics in Family Education

Currently, parents are required to raise children following the law as new parenting professionalism in China. This article explores how the new Family Education Promotion Law (FEPL) creates new requirements for parents to cultivate future citizens by employing family educational science. It draws upon text and discourse analysis of bills of FEPL regarding educative parent performance law. Interweaving qualitative data with post-structural groundings, this article questions that it neglects the discussion about distinctions of educational knowledge in various family education contexts. Despite stipulation of responsibilities of parents and other guardians that underscores legality and authority of laws and regulations in order to create a suitable family education environment for children, its unexpected outcome is to include the ‘ideal’ parents and exclude others, based more on family educational science of child-rearing by neglecting the peculiar part of the culture and the produced discrimination to parents at the bottom. Moreover, we found that it produces a new decentralization trend and shifts the power among members in the education village.

A Retailer's Inventory Model for Deteriorating Items under Power Pattern Demand with Shortages Partially Backlogged in both Crisp and Fuzzy Environments

A Retailer's Inventory Model for Deteriorating Items under Power Pattern Demand with Shortages Partially Backlogged in both Crisp and Fuzzy Environments

Aplikasi Game Edukasi Mengenal Bahasa Indonesia Alfabert dengan Algoritma Ascent Hill Climbing

Alphabet learning educational game is a game that is very popular with children who are new to Alphabet letters. This game uses the process of exchanging the position of the alphabet according to the correct alphabetical order. The problem in this study is the lack of interest in children learning the alphabet quickly, with the game system children who know the alphabet are happier and quickly understand the order of the alphabet. The benefit of this research is to improve the thinking power and creative patterns of children who are new to the alphabet quickly to catch how to memorize the alphabet correctly. This study uses the Ascent Hill Climbing Algorithm. How the Ascent Hill Climbing Algorithm works, namely a. The basic rule that must be done is to move an empty square to the top of the puzzle where if x&gt;1 then (x-1,y) b. The basic rule that must be done is to move the empty square down Puzzle if x&lt;3 then (x+1,y c. The basic rule to be done is to move the empty square to the right Puzzle if x&lt;3 then (x+1,y) d The basic rule that must be done is to move the empty square to the left of the Puzzle if x&gt;1 then (x,y-1). The final result of this study is that it takes 8 iterations to obtain the correct position for compiling the Puzzle so that it matches the goal state order so that the results are finished and terminated.

Caring masculinities at work in later life: Exploring relational care work in retirement

AbstractThe paper reports on research that investigates older men's care practices and how their caring for others opens new ways of exploring the intersections of aging, gender, and care work. Using the concept caring masculinities as a sensitizing concept, the onus is on exploring patterns of power, interdependence, and relationality within men's care practices. Aging masculinities often remain constructed around paid‐for occupational work (in opposition to unpaid care work) despite the transition into retirement. Little work exists on how caring is at work in later life potentially transforming gender relations and enacted masculinities. Moreover, much of the research on aging masculinities have not considered the expansiveness of retirement and the discourses as well as subjective expectations around the activity in later life that create an uncertain terrain of socioculturally structured mandates to be navigated. This paper draws on data from two qualitative interview studies conducted with retired men in England and Germany, in which the role of caregiving emerged as an inductive theme in their narratives. The paper makes a specific contribution to developing empirical and theoretical knowledge of caring masculinities and power relations by providing insights on men's trajectories into caring, and how they make sense of their caring for and about others.

Inventory system with generalized triangular neutrosophic cost pattern incorporating maximum life-time-based deterioration and novel demand through PSO

At the manufacturing plant or while the products are being transferred from one supply layer to another, there is a considerable possibility of receiving damaged or faulty items mixed in with non-defective commodities. This research focuses on the non-defective and defective products that are shipped to retailers by their suppliers. The retailer reworks faulty items to make them non-defective, and the retailer receives a discount on the cost of purchasing defective items. The presented inventory system addresses the uncertainty in inventory costs and also considers the deterioration of items with prioritized maximum product life. In this study, our aim is to minimize the total inventory cost when demand rate as a function of quality and power pattern of time under crisp and generalized triangular neutrosophic environments. Based on the payment deal, interest charges are imposed only when the payment delay has passed a particular allowable time limit. The neutrosophic number, which provides three different types of membership functions representing truth, hesitation, and falseness, is used in the inventory model to handle the cost pattern’s uncertainty. A particle swarm optimization approach is used to analyze the proposed inventory model, and the results are validated using a numerical example and sensitivity analysis for various parameters.

High power balanced TEM horn antenna for ultra wide band radiator

AbstractA balanced transverse electromagnetic (TEM) horn type antenna is designed and developed for a 120 kV, 66 Ω high power ultra wideband (UWB) radiator. This antenna consists of a coaxial to parallel plate unzipper BALUN followed by an exponentially tapered TEM horn structure. Analysis of this antenna in time and frequency domain is performed using CST Microwave Studio. This antenna is having a power handling capacity of 1000 MW, with percentage bandwidth of 167%. This antenna has a gain of ~10 dB at 1 GHz frequency. Return loss performance of better than −10 dB is observed in 150 MHz to 1 GHz frequency range. Effective radiation of short pulses (&lt;5 ns) with very fast rise time (300–500 ps) has been demonstrated using this high‐power antenna. Practical results at 220 MW power are presented in this article. Directional performance of this antenna is practically established through peak power patterns in horizontal and vertical plane.

Mapping transnational lives: patterns of dislocation and reorientation in contemporary carto-graphic memoirs

ABSTRACT This article considers three recent graphic memoirs that focus on Italian transnational migration and its legacies: Elizabeth A. Povinelli’s The Inheritance, Joshua Santospirito’s Swallows (Part I), and Pia Valentini’s Ferriera. We adopt the term carto-graphic memoirs (Mitchell 2007; Norment 2012), to describe graphic novels that aim to literally and metaphorically map transnational lives, identities, and memories, through complex artistic processes of autobiographical (re)orientation, drawing, storytelling, and intellectual reflection. Dominant narratives of Italian migration redeem the struggle and shame of migration through individual success, upward mobility, and racial ‘whitening’. These three works challenge stereotypical representations of Italian migration, and Italian hyphenated identities, focusing instead on geographical, historical and autobiographical fragments that come together on the page to sketch provisional and fragile, yet emotionally and intellectually powerful patterns. Such patterns reveal histories and geographies of racism, class exploitation, violence, trauma, but also histories of physical, existential, cultural, linguistic and intellectual resistance, exchange, and creativity. Each of these memoirs locate Italian migrants and their descendants at the intersection of traumatic histories and geographies of nationalism, colonialism, racism, sexism, and class exploitation. In doing so, they provide an extraordinary opportunity to rethink the relationship between transnational histories and individual lives.

Algoritmich societies and processes of subjectivation

The aim of this article is to indagate the profound changes of the human environments, which arising from the “Digital revolution”. In the first part, the author compares two “ontological” perspectives: respectively, the “Infosphere” and the “Docusphere”. Afterward, taking into account the contemporary processes of subjectivation, he distinguishes between two emerging patterns of political power: “Surveillance capitalism” and “Societies of control”. In the light of the distinction between surveillance and control, the author discusses the elements of each pattern which seem to be useful for understanding the political life in digital societies.