Auxiliary Services Research Articles

Artificial intelligence robots based on machine learning and visual algorithms for interactive experience assistance in music classrooms

This article aims to study the application of artificial intelligence robots based on machine learning and visual algorithms in music classroom interactive experience assistance. In artificial intelligence robots, mobile adaptive networks can be used to optimize the perception and decision-making abilities of robots. By continuously learning and adapting to environmental changes, robots can better understand and respond to the interactive needs of music classrooms, providing more accurate and targeted auxiliary services. By learning and analyzing rich training data, robots can possess higher-level cognitive and comprehension abilities. In terms of music recommendation, the K-nearest neighbor algorithm is used to recommend music works that are suitable for students. By analyzing students’ music preferences and learning needs, robots provide personalized music recommendations to students based on this information, helping them better participate in and enjoy music classes. By applying machine learning and visual algorithms to music classroom interaction experiments, artificial intelligence robots based on machine learning and visual algorithms have the potential to assist in music classroom interaction experience, and teaching optimization strategies for music classrooms have been proposed.

A charge and discharge control strategy of gravity energy storage system for peak load Cutting

Gravity energy storage is a type of energy storage method that utilizes gravitational potential energy to store energy. In recent years, it has been widely concerned by scholars and enterprises at home and abroad for its unique advantages. From the perspective of long-term profit, the economic analysis of the gravity energy storage system is essential. In previous studies, only some specific economic models are available for describing the gravity energy storage system. This article proposes a revenue model for the gravity energy storage system first. Then, suggest a method for operating and scheduling a decentralized slope-based gravity energy storage system based on peak valley electricity prices. This method aligns with the current business model of using user-side energy storage to participate in power system auxiliary services. Last, verify the feasibility of the process through analysis. This study will make a beneficial attempt for the market promotion and application of gravity energy storage.

Exploring the mechanisms of microgrid management from a structural view: A qualitative study from China

This paper offers insights into microgrid management, with an analysis that stresses the structural features of microgrids at both technical and organizational levels. The article posits that the importance of microgrid management lies in the fact that managerial activities can support the technical microgrid systems in achieving different energy-related goals. It introduces the concept of the “mirroring hypothesis”, which aligns the technical structure with the organizational structure to identify mechanisms of microgrid management. Insights from multiple cases reveal that technical integration and diversification are two dimensions of microgrid technical features. Correspondingly, coordination within organizational integration and diversification serve as two groups of management mechanisms. Energy autonomy, clean energy consumption, and auxiliary services run as three dimensions of energy-related goals. Subsequently, a conceptual framework is developed to establish connections among the technical structure, organizational structure, and energy-related goals. This management framework illustrates three distinct pathways for microgrids to achieve different goals. Finally, some practical and policy implications are provided.

Real-Time Object Detection from UAV Inspection Videos by Combining YOLOv5s and DeepStream.

The high-altitude real-time inspection of unmanned aerial vehicles (UAVs) has always been a very challenging task. Because high-altitude inspections are susceptible to interference from different weather conditions, interference from communication signals and a larger field of view result in a smaller object area to be identified. We adopted a method that combines a UAV system scheduling platform with artificial intelligence object detection to implement the UAV automatic inspection technology. We trained the YOLOv5s model on five different categories of vehicle data sets, in which mAP50 and mAP50-95 reached 93.2% and 71.7%, respectively. The YOLOv5s model size is only 13.76 MB, and the detection speed of a single inspection photo reaches 11.26 ms. It is a relatively lightweight model and is suitable for deployment on edge devices for real-time detection. In the original DeepStream framework, we set up the http communication protocol to start quickly to enable different users to call and use it at the same time. In addition, asynchronous sending of alarm frame interception function was added and the auxiliary services were set up to quickly resume video streaming after interruption. We deployed the trained YOLOv5s model on the improved DeepStream framework to implement automatic UAV inspection.

Research on deep peaking cost allocation mechanism considering peaking demand subject and thermal power unit

The current peak-shaving auxiliary service cost allocation mechanism balances the revenue and expenditure of the power plant side, the peak-valley difference of the power grid is mainly caused by the peak-valley characteristics of the load and renewable energy. It is not reasonable that not reasonable the peak-shaving cost allocation mechanism does not consider user allocation. Therefore, this paper establishes a peak-shaving cost allocation mechanism that considers the peak-shaving demand subject, this article incorporates renewable energy power plants and loads into the peak-shaving demand subject. Firstly, this paper constructs an alternative scenario without peak-shaving demand through the mean line of load and available energy output and establishes an optimal scheduling model with deep peak-shaving and pumped storage power stations, this article takes the difference of system peak-shaving cost between two scenarios with and without peak-shaving demand as the marginal peak-shaving cost. Then, the Shapley value method in cooperative game is used to establish the peak-shaving cost allocation mechanism considering the main body of peak-shaving demand. In addition, It is used that the equal-kWh following load method constructed the equivalent output curve of renewable energy, following load method improves the existing allocation mechanism by comprehensive similarity. Finally, this paper analyzes and compares three different peaking cost allocation mechanisms. The example analysis shows that the peaking cost allocation mechanism considering peaking demand subjects. The example can reflect the peaking cost caused by different subjects and reduce the peaking pressure of thermal power units.

A Comprehensive Review of Load Frequency Control Technologies

Load frequency control (LFC) is one of the most important tools in power system control. LFC is an auxiliary service related to the short-term balance of energy and frequency of power systems. As such, it allows the acquisition of a central role in enabling electricity exchanges and providing better conditions. The classification of LFC can be carried out from different angles: we can enumerate, among others, the type of control used. The following types of control are presented in this review: classical, optimal, and robust control. More advanced controls can also be used for classification: fuzzy logic control, ANN control, genetic algorithms, PSO control, etc. The influence of renewables and power control tools like FACTS is also considered as a category to be analyzed. The last classifications are related to two important subjects—the influence of DC links on LFC efficiency and the dangers of cyberattacks on the LFC.

A novel strategy to enhance power management in AC/DC hybrid microgrid using virtual synchronous generator based interlinking converters integrated with energy storage system

Hybrid microgrids (HMGs) have a flexible structure, higher reliability, and both AC and DC MG merits. However, in this type of MGs, there are challenges such as accurate power sharing, the voltage control of the DC link, the AC side voltage and frequency stability, the negative impact of telecommunication delay, and so on. Therefore, a power management scheme is presented here that can perform proper and precise power sharing in a hybrid AC/DC MG. This HMG consists of one energy storage system (ESS) along with two interlinking converters (ILC) based on a virtual synchronous generator (VSG). Besides, the physical inertia of a MG is less than that of a power grid, hence, changing the output power of wind turbines and photovoltaic (PV) arrays might make system unstable. To overcome this challenge, virtual inertia is used. As the virtual inertia can be embedded with the VSG method, in this scheme, the VSG strategy is implemented to enhance the system dynamic behavior by imitating the synchronous generator kinetic inertia. The VSG-based ILC1 converter is used to establish interlinking and energy exchange between AC and DC sub-grids and share power. Also, other interlink devices including a bidirectional half-wave DC/DC converter integrated with the ILC2 are considered, which aim to control the voltage of the DC link and exchange part of the power between the AC and DC sub-grids. An ESS is placed between the bidirectional DC/DC converters and the DC link of the ILC2. Such a structure is referred to as a two stage interlinking converter with an ESS (TSILC-ESS). The power management system employed in AC/DC HMG according to the ILC controller is utilized to form the DCMG along with controlling the TSILC-ESS, providing additional and auxiliary services to the power grid. To assess the introduced scheme of both AC and DCMG to investigate VSG-based ILC1 and ILC2 in grid-connected and islanded operational mods, various resource and load profiles are assumed. The simulation study is performed in MATLAB/ Simulink environment to confirm the proposed method.

Activities of the Emergency Service of Boy-Scouts and Girl-Scouts of the Małopolska District in the Scope of Assistance for War Refugees from Ukraine in the Light of Messages From the Scout Headquarters and Scouts Reports

ObjectivesThe main purpose of the article is to show examples of help from the Polish authorities and society for Ukrainian war refugees by using the example of the activity of the Emergency Service of Boy-Scouts and Girl-Scouts (PHiH) of the Polish Scouting Association (ZHR) after the Russian aggression against Ukraine, undertaken on February 24, 2022.MethodsThe source basis for the study is documents regarding the activities of the Emergency Service of Boy-Scouts and Girl-Scouts and reports on the service on the Polish-Ukrainian border, available on the ZHR websites, the Facebook social network, and messages from the PHiH Staff of the Małopolska District of the ZHR. Due to the current development of events, the author has adopted a descriptive model focused on describing the current situation in Ukraine.ResultsThe author described the activities of the PHiH in the Małopolska District of the ZHR, showing various aspects of the scout service for war refugees. In the face of war refugees in need of help, Polish scout organisations, including Małopolska District of the ZHR joined the auxiliary service in Krakow and on the border with Ukraine, the activities of the ZHR result from the Law and the Scout Promise.ConclusionsThe result of the article is a description of the service of PHiH scouts and scouts for Ukrainian war refugees and its examples. It is an important contribution to attempts to describe the Russian-Ukrainian war in its various aspects, and its content fits into its context.

Seroprevalence of Anti-SARS-CoV-2 IgG Antibodies in Healthcare Personnel in El Salvador Prior to Vaccination Campaigns.

COVID-19, caused by the SARS-CoV-2 virus, is a highly pathogenic emerging infectious disease. Healthcare personnel (HCP) are presumably at higher risk of acquiring emerging infections because of occupational exposure. The prevalence of COVID-19 in HCP is unknown, particularly in low- to middle-income countries like El Salvador. The goal of this study was to determine the seroprevalence of anti-SARS-CoV-2 antibodies among HCP in El Salvador just prior to vaccine rollout in March 2021. We evaluated 2176 participants from a nationally representative sample of national healthcare institutions. We found 40.4% (n = 880) of the study participants were seropositive for anti-spike protein antibodies. Significant factors associated with infection included younger age; living within the central, more populated zone of the country; living in a larger household (≥7 members); household members with COVID-19 or compatible symptoms; and those who worked in auxiliary services (i.e., housekeeping and food services). These findings provide insight into opportunities to mitigate SARS-CoV-2 risk and other emerging respiratory pathogens in HCP in El Salvador.

Electric Vehicles Charging Services Perspectives and Challenges

Abstract The year 2023 marked another breakthrough in electromobility. Customers accept electric powertrain; sales of battery electric vehicles and plug-in hybrid vehicles are booming and public charging infrastructure follows the similar pace. However, the leading European independent charging stations operators, despite the significant public funding utilized for financing their expansion activities are still experiencing losses, as a result of their operation. Generally, current research work in area of electric vehicle charging is rather focused on specific and rather technical aspects of charging infrastructure operations, like optimization of charger locations, connection to energy networks and operational excellence. Very few authors are focusing on core business essentials of charging infrastructure operation, in particular on sustainability of their operations. Within this paper author conducted financial analyses of selected charging infrastructure operator in Europe, compared the conclusions with its peers. Furthermore, this paper has an ambition to perform synthesis (after thorough review and analysis of relevant information sources) of different aspects of e-mobility ecosystem to conclude innovative recommendations. The main result of this paper is the recommendation for the charging infrastructure operators to adjust their strategies and respective business models in terms to make a move towards slow charging world, by building and operating Vehicle to Grid equipped infrastructure as a supplement to fast chargers’ network. Sooner charging infrastructure operators will develop their competences in Vehicle to Grid world the better, mainly for two reasons. Firstly, it is very probable that Vehicle to Grid market will jump on fast track very soon. Not only from technology point of view, but also from services provided/expected from customers. Secondly, in Vehicle to Grid connected ecosystem lays needed tens or even hundreds of millions EUR opportunities which will be waiting for Electric Vehicle´s owners and any subjects which can facilitate and instrument interconnection between energy network’s needs – auxiliary services, storage of electricity, integration of renewable energy sources and traction batteries of Electric Vehicles.

Electric Vehicle Cluster Scheduling Model for Distribution Systems Considering Reactive-Power Compensation of Charging Piles

With the increasing number of electric vehicles (EVs), their uncoordinated charging poses a great challenge to the safe operation of the power grid. In addition, traditional individual-EV scheduling models may be difficult to solve due to the increasing number of constraints. Therefore, this paper proposes a cluster-based EV scheduling model. Firstly, electric vehicle clusters (EVCs) are formed based on the charging and discharging preferences of EV users and the expected time for EVs to leave. Secondly, the EVC energy and power boundary aggregation method based on the Minkowski addition algorithm is proposed. Finally, for the sake of reducing user charging cost and distribution network energy loss, and smoothing the daily load curve, an EVC scheduling model for EV participation in grid auxiliary services is proposed. The optimization model includes the reactive-power compensation of EV charging piles. The simulation results show that the proposed EVC scheduling model can greatly reduce the solution time compared to traditional individual-EV scheduling model. The model has high potential to be applied to large-scale EV scheduling. The reactive-power compensation provided by EV charging piles improves the voltage quality of the grid and enables more EVs to be connected to the grid.

Study on Master-Slave Game Optimization Operation of Integrated Energy Microgrid Considering PV Output Uncertainty and Shared Energy Storage

Integrated energy microgrids and shared energy storage have significant benefits in improving the energy utilization of the system, which is gradually becoming the current research hotspot. And the uncertainty of new energy output also significantly affects the stable and economic operation of integrated energy microgrid. So how to establish a set of integrated energy microgrids optimization operation model considering photovoltaic (PV) output uncertainty and shared energy storage is an urgent problem to be solved nowadays. Firstly, this paper introduces the framework of an integrated energy system microgrid containing a shared energy storage operator (ESO), and analyzes the scheduling method of the upper tier operator within the system as well as the economic benefits at the lower tier user end. Secondly, to address the randomness of PV output, Monte Carlo method is used to generate the scenarios, and then the scenarios are cut down by using the fast antecedent elimination technique. Then, an optimal operation model is established for micro grid operator (MGO) and user aggregator (UA), respectively, and based on the master-slave game relationship, so that the MGO is the leader and the UA is the follower, a Stackelberg game model is proposed to consider the integrated demand response of electricity and heat between the MGO and UA in the context of the participation of ESO in the auxiliary service of the UA. Finally, the proposed model is brought into a typical residential building community for simulation verification, and the results show that the model proposed in this paper can effectively balance the interests of MGOs and UAs, and realize win-win benefits for UA and ESO.

Quantifying the performance and compensation of secondary frequency regulation of pumped storage plants considering variable-speed operation

Aiming at the “net-zero carbon” target, a higher proportion of variable renewable energies (VREs) has been integrated into power grids, and pumped storage plants (PSPs) are crucial for guaranteeing the safe and stable operation of hybrid energy systems. As secondary frequency regulation (SFR) is related to the economic operation and the quality of auxiliary services provided by PSPs, it is critical to clarify its performance and compensation. Therefore, the corresponding quantitative evaluations of the SFR of pumped storage units (PSUs) are carried out in this paper. First, the performance of SFR is quantified based on the fuzzy analytic hierarchy process (FAHP). Considering the current situation in China’s electricity market, the average compensation of the PSP with each MW is determined to be 9.336 CNY per day, and a method for calculating the compensation of SFR is constructed. Then, taking a real Chinese PSP as an example, based on different wind power deviation signals, the quantitative evaluation of the compensation of SFR is conducted in accordance with the fixed-speed pumped storage units (FSPSUs) and the variable-speed pumped storage units (VSPSUs) in power priority and speed priority modes. The results show that the compensation of FSPSUs and VSPSUs (power priority mode and speed priority mode) is 10,900 CNY per day; 54,400 CNY per day; and 17,300 CNY per day. This paper could contribute to clarifying the compensation of SFR and providing technical support for the development of the auxiliary service market.

A Distributed Coordinated Framework With Fair Comfort Level Sharing for Inverter Air Conditioner in Auxiliary Services

A Distributed Coordinated Framework With Fair Comfort Level Sharing for Inverter Air Conditioner in Auxiliary Services

Research on Market Evaluation Model of Reserve Auxiliary Service Based on Two-Stage Optimization of New Power System

Research on Market Evaluation Model of Reserve Auxiliary Service Based on Two-Stage Optimization of New Power System

Research on the Short-Term Economic Dispatch Method of Power System Involving a Hydropower-Photovoltaic-Pumped Storage Plant

The auxiliary regulation capacity of pumped-storage power stations can be utilized as an effective method to regulate the output of a hydro-photovoltaic complementary system, further mitigating the power fluctuations of the system and enhancing the photovoltaic absorption. This study aims to minimize power fluctuations and maximize the economic benefits of electricity generation in a hydropower-photovoltaic-pumped-storage complementary system (HPPCS), which are treated as the objective functions. It explores the participation of the HPPCS in grid active power balance auxiliary services. By modulating the participation ratio of the HPPCS in the grid’s active balance service, the system output is aligned to fluctuate proportionally with the daily load curve trend. Consequently, a short-term economic dispatch model for the integrated HPPCS is developed. The case study focuses on the considerable impact of weather conditions on photovoltaic (PV) power generation. In this model, the outputs of cascading hydro-power stations and pumped-storage power stations are considered as the decision variables. A decomposition-based multi-objective evolutionary algorithm is applied to derive an optimized intra-day dispatch Pareto solution set for the cascading HPPCS in each of these scenarios. Additionally, this study compares the Pareto solution sets for the HPPCS in various extents of its participation in grid auxiliary services. The results of the case study suggest that the system is capable of timely adjustments during the peak and trough periods of load demand. Considering the economic benefits, it enables the pumped-storage station to generate electricity for the grid during periods of high electricity prices and to store energy by pumping water when prices are low.

COMPREHENSIVE CONDITION ANALYSIS AND PERSPECTIVES OF ENERGY DEVELOPMENT IN UKRAINE ACCORDING TO THE SMART GRID CONCEPT

The article examines development trends of the energy complex of Ukraine, possibility and prospects of creating a modern energy complex through the use of an innovative technical base for energy management in accordance with the Smart Grid concept. The general properties of Smart Grid technology and its main advantages are given by authors. It is shown that within the framework of the Smart Grid concept, the intelligent electric power system is considered as a single network of information and control systems. The process of electric power industry modernization in the direction of the creation of "smart" power supply networks in a number of European countries, which aims to ensure stable development, economic growth, growth of living standards and protection of the natural environment, is considered. The paper describes modernization methods of the electric power complex of Ukraine based on foreign experience. It is shown that from the point of view of energy security and sustainable development, Smart Grid is able to ensure the operation of the power grid even in case of damage or destruction of one segment, which is a key advantage during post-war reconstruction. They will also make it possible to effectively integrate renewable generation and energy storage systems into the grid, as well as provide auxiliary services for forecasting the power system operation. The paper analyzes the problematic issues of implementing the Smart Grid concept in Ukraine. They include the lack of technological solutions and methods that provide an effective algorithm for determining the state of power networks cyber security; large length of power distribution networks and insufficiently developed infrastructure. A comparative description of the existing energy systems functional properties and energy systems based on the Smart Grid concept is presented in general. An analysis of possible ways of electric power industry development was carried out, which showed the presence of serious limitations of electric power industry development within the framework of the former concept, based mainly on the improvement of certain types of equipment and technologies. It is shown that Ukraine is at the initial familiarization and formation stage of the first organizational initiatives for Smart Grid, namely the implementation of the government-approved Concept of the "smart grids" introduction in Ukraine for the period up to 2035. The purpose and expected results of this Concept implementation are considered.

Enclaved or linked? Examining local linkage development in the Tanzanian off-grid solar market

Foreign direct investments in the off-grid solar sector have been growing in East Africa. By linking up as sub-suppliers with the foreign multinational companies (MNCs) undertaking these investments, local companies can benefit from knowledge spillover, which could contribute to improving their competitiveness and capabilities. This depends crucially on the extent to which linkages are forged between the foreign MNCs and the local companies. However, little research has been done so far analyzing local linkage development in the off-grid solar sector in East Africa. To meet this knowledge gap, we examine the breadth and depth of linkages between the foreign MNCs and the local companies in the off-grid solar sector in Tanzania. The article draws on interviews undertaken with eleven MNCs and eleven local companies. We find that the breadth of the linkages was narrow, as the majority of the components and services were imported from abroad. Those which were procured from local suppliers were low-value components, suggesting that the depth of linkages is also limited and shallow. However, there were more backward linkages in the deployment chain than in the manufacturing chain, while more extensive linkages were observed in larger solar systems compared to smaller systems. In order to increase the depth of backward linkages, we recommend focusing on building up the capacity of local companies to offer auxiliary services in the deployment value chains. Furthermore, although small-sized solar systems are seen as crucial components in facilitating affordable energy access to many off-grid areas, they do not offer many opportunities to develop backward linkages between foreign MNCs and local companies.

Evaluation of Energy Performance Indicators and Energy Saving Opportunities for the Italian Rubber Manufacturing Industry

The objective of this work is the energy characterisation and evaluation of the energy efficiency potential of the rubber manufacturing industry in Italy, exploiting the detailed data included in energy audits by large and energy-intensive companies. This sector is divided into two sub-activities: the manufacture of rubber products and the production of tyres. Existing studies are focused mainly on tyre production, and there is a lack of quantitative evaluation of energy indicators that can provide guidance for improving process efficiency. In this work, updated global and specific energy performance indicators (EnPIs) related to the production process and to the auxiliary and general services are defined and evaluated. At the same time, targeted actions and interventions to improve the energy efficiency of the sector are analysed, showing the role of different intervention areas and their cost-effectiveness. The analysis is based on 100 Italian mandatory energy audits of the sector collected according to Art.8 EU Directive 27/2012. The applied methodology made it possible to calculate specific energy performance indicators by considering the overall and sub-process energy consumption of different production sites. Based on a detailed database containing real data from recent energy audits, this study provides an up-to-date and reliable benchmark for the rubber industry sector. In addition, the analysis of energy audits allows the identification of the most effective energy efficiency interventions for the rubber industry in terms of cost-effectiveness and payback time.

Joint scheduling method of peak shaving and frequency regulation using hybrid energy storage considering degeneration characteristic

AbstractIn this paper, a joint scheduling method of peak shaving and frequency regulation using hybrid energy storage system considering degeneration characteristic is proposed. Firstly, incorporating degradation costs of the hybrid energy storage system with respect to the depth of discharge and cycle lifetime, long‐term costs of battery energy storage and flywheel energy storage are modelled and transformed to short‐term costs related to real‐time operation. Then, a joint scheduling model is proposed for hybrid energy storage system to perform peak shaving and frequency regulation services to coordinate and optimize the output strategies of battery energy storage and flywheel energy storage, and minimize the total operation cost of microgrid. In addition, three optimal dispatching strategies for hybrid energy storage system to participate in the auxiliary service of power grid are proposed based on the established auxiliary service model. Simulation studies demonstrate that the proposed joint scheduling method can optimize the power of different energy storage, alleviate the degradation process of battery energy storage. Compared with the scenario without scheduling hybrid energy storage system, scheduling hybrid energy storage system can reduce the total operation cost, and the electricity cost of microgrid is reduced by 13.13%.