Operations Control Center Research Articles

The Supervising Role of the Apron Movement Control (AMC) Unit on Aviation Security and Safety at Pattimura Ambon International Airport

Security and safety are crucial factors in aviation activities, considering the sensitivity of air transportation that requires assurance of safety at all times. The success of the AMC unit's tasks and responsibilities is measured by their ability to optimize supervision, thus creating safe and secure conditions, in accordance with applicable regulations. This study aims to evaluate the role of the AMC unit in ensuring security and safety in the airside area of Pattimura Ambon International Airport and to identify obstacles in supervision in the area. The approach used in this study is descriptive qualitative. The data collected consists of primary and secondary data. Primary data is obtained through observation and interviews, while secondary data comes from literature studies and photographs related to the problem being studied. Data analysis techniques involve data reduction, data presentation, and drawing conclusions. To ensure the validity of the data, triangulation techniques are used. The research was conducted in March 2024. The results of the study indicate that the AMC unit at Pattimura Ambon International Airport has carried out supervision well in accordance with the standard operating procedures PM-IK (Quality Procedures and Work Instructions). Supervision covers four components of the work area: Airport Operation Control Center (AOCC), Data Entry, Field Inspection, and Aviobridge Operations. Supervision is carried out through inspections every two hours for FOD and fuel spills, supervision of aircraft movements and engine running up/idle, GSE vehicle speed, and worker compliance with the use of Personal Protective Equipment. The AMC unit strives to implement the 3S+1C principle (Safety, Security, Service, and Compliance). The obstacles faced include a shortage of personnel, which causes an increase in workload and less than optimal supervision, as well as violations by service users or workers in the airside area, which have the potential to cause accidents.

Analysis of Airport Operation Control Center (AOCC) Unit Services at Adi Soemarmo Boyolali International Airport

Airport Operation Control Center (AOCC) is the front line in supervising and controlling all problems and is the control center of Adi Soemarmo Solo International Airport operations in serving Airport Service Users. AOCC involves all stakeholders at the Airport by integrating the systems owned by each stakeholder so that they can operate effectively and efficiently. This study aims to determine how the AOCC unit service system is at Adi Soemarmo Boyolali International Airport and what factors can cause problems and solutions to AOCC unit service problems. This study uses a descriptive qualitative approach. The data used are primary and secondary data. Primary data is obtained from observation and interviews, while secondary data comes from literature studies and photographs related to the problems studied. The data analysis techniques used are data reduction, data presentation and drawing conclusions. To test the validity of the data, triangulation techniques are used. The research time is in August - September 2023. The results of this study indicate that a good service system was found by the Airport Operation Control Center (AOCC) Unit to service users starting from coordination with all parties, namely Airlines and Ground Handling, Air Traffic Control (ATC), Apron Movement Control (AMC), Information Unit, Aviation Security, Airport Operation Landside And Terminal (AOLT), Traffic Administration Office and Central Flight Schedule Office (CFSO) and the Airport Mechanical Unit. The service system uses the ACDM (Airport Collaborative Decision Making) system, namely with collaboration between stakeholders to share information between related parties in real time and make joint decisions in a win-solution manner. Factors that can cause problems are related to coordination between one and another so that it can harm several parties. The solution to various problems is to implement ACDM (Airport Collaborative Decision Making), where related units in airport operations synergize with each other, receive and share information from each unit, make proactive and appropriate joint decisions, anticipate unexpected events and provide the best quality of service, cohesiveness and unity of vision and mission.

AI-Driven FlightOps: Revolutionizing Airline Operations Control with Predictive Analytics and NLP

Abstract: Flight operations control centers (OCCs) are the nerve centers of airline operations, tasked with managing a wide range of activities such as flight scheduling, crew assignments, maintenance coordination, and dealing with disruptions. While traditional approaches have relied heavily on human decision-making and manual analysis of operational data, the increasing complexity of modern airline operations demands more efficient solutions. This paper presents FlightOps AI, a cutting-edge AIpowered system that integrates advanced natural language processing (NLP), deep neural networks (DNNs), reinforcement learning (RL), and computer vision to provide OCC staff with actionable insights and predictive capabilities. The system processes massive amounts of structured and unstructured data in real time, enabling smarter decision-making and automation of routine tasks. By adopting these technologies, FlightOps AI transforms the operational landscape, optimizing airline performance while minimizing human errors

Mitigation of the commutation failure problem in the HVDC multi-infeed scenario in Brazil using synchronized phasor measurement

This paper presents the Commutation Failure (CF) problem in the High Voltage Direct Current - Line-Commutated Converter (HVDC-LCC) scenario in Brazil through the monitoring of Short-Circuit Ratio (SCR), CF indexes, Direct Current (DC) link power, and the use of simulated synchrophasor data. The analysis was performed by training a neural network using data from the year 2020, and its robustness was verified using data from the year 2021 of the Brazilian Interconnected Power System (BIPS). Additionally, an analysis of transient instability in the North-South Transmission Corridor (NSC) will be presented right after the occurrence of CF by monitoring the Lyapunov transient instability margin, with the primary objective of bringing subsidies to the control center operation area according to the severity of the CF occurrence, preventing its propagation and mitigating it through real-time predictive actions, such as power redispatch on DC links and, thus, minimizing the occurrence of CF.

The Impact of Work Motivation and Work Discipline on Employee Performance Moderated by Transformational Leadership

This study delves into the intricate dynamics between work motivation, work discipline, employee performance, and transformational leadership within the realm of organizational effectiveness. Through a comprehensive review of existing literature, the research explores the influence of these factors on individual and organizational outcomes. Work motivation is examined as a pivotal driver of sustained performance, while work discipline is recognized for its role in promoting adherence to organizational norms and standards. Employee performance is scrutinized across various dimensions, encompassing task performance, adaptive performance, and contextual performance. Transformational leadership emerges as a critical leadership approach, characterized by its ability to boost morale, cultivate positive relationships, and inspire subordinates towards achieving organizational objectives. A sample of 118 employees from the Southern Border Food Processing CO, LTD operation control center participated in the study, providing data through a self-administered survey questionnaire. Analysis conducted using Smart (PLS) version 4.0 unveils significant impacts of work motivation, work discipline, and transformational leadership on employee performance, both individually and collectively. The majority of respondents in the study possess Senior High School and Diploma education, with varying levels of work experience.

A blockchain-based optimal peer-to-peer energy trading framework for decentralized energy management with in a virtual power plant: Lab scale studies and large scale proposal

The integration of distributed energy resources (DERs) such as wind, solar, batteries, etc. into the grid presents opportunities as well as challenges with regard to efficient coordination and trading. Virtual power plants (VPPs) have emerged as an important paradigm for aggregating and managing numerous DERs. This paper proposes a decentralized blockchain-based peer-to-peer (P2P) multilayer energy trading framework to facilitate optimized coordination of DERs within a VPP context. A control center, prosumers, and service operators constitute the model’s multi-layered architecture. Profits from feed-in tariffs, ancillary services, and P2P sales are optimized for revenue while expenses are minimized using a mixed-integer linear programming formulation. Smart contracts enable prosumers to trade energy units in the Ethereum blockchain with ease via a participatory web platform. The effectiveness of the framework in synchronizing power supply and demand within the VPP by coordinating the charging and discharging of storage systems in accordance with consumption patterns is demonstrated through performance evaluation. In contrast to conventional centralized architectures, the proposed framework utilized decentralized architecture efficiently consolidates and optimizes distributed energy resources (DERs) to improve grid stability and renewable energy utilization.

Analysis of human errors in human-autonomy collaboration in autonomous ships operations through shore control experimental data

Human-autonomy collaboration plays a pivotal role in the development of Maritime autonomous surface ships (MASS), as Shore control center (SCC) operators may engage in the control loop by directly operating the MASS, or, in the supervisory loop, monitoring the MASS and taking over control when needed. Thus, effective human performance during takeover control and operation is crucial for the safety of MASS operations. However, since the MASS is still in the early phase of development, the mechanism of human errors is unknown, and the data on human-autonomy collaborative operation is scarce. Human reliability analysis (HRA) aims to assess human errors qualitatively and quantitatively, and is widely used in various complex systems to help safety analysis. This study is dedicated to incorporating advanced HRA methods elements to identify and quantify human errors during taking over control and operation of a MASS in collision avoidance scenarios. It presents virtual experimental results, combined with theoretical human error identification and assessment methods. At first, we apply the Human-System Interaction in Autonomy (H-SIA) method to identify potential human errors; secondly, we identify relevant Performance Shaping Factors (PSFs) including Experience, Boredom, Task complexity, Available time and Pre-warning, and performance measures of the human errors, and implement them in the virtual experiment based on a full-scale autonomous ferry research vessel called milliAmpere2. Finally, we build a Bayesian Network (BN) to present causal and probabilistic relationships between PSFs and human errors through experimental data. The results show that available time has the highest impact on takeover performance of operators, followed by task complexity and pre-warning. Boredom does not present a significant sole impact unless combined with available time. Experience does not show a significant impact on human performance. In addition to the relevance of the human errors analysis to the safe development and operational design of MASS, the developed method benefits other human-autonomy collaborative systems. The developed BN model shows adaptability to assess human error probabilities, and the practical significance of integrating experimental data into the existing HRA methodologies for complex systems.

Pengaruh Beban Kerja dan Stres Kerja Terhadap Kinerja Unit Airport Operation Control Center (AOCC) di Bandar Udara Intetnasional Soekarno-Hatta Cengkareng

This research was conducted with the aim of determining the influence of workload and work stress on the performance of the Airport Operation Control Center (AOCC) unit at Soekarno-Hatta Cengkareng International Airport. The population in this study were 41 members of the Airport Operation Control Center (AOCC) unit and the sample used for research was all members of the unit, namely 41 people. The research results show that there is a partial influence between workload on the performance of the Airport Operation Control Center unit with a calculated t value of 3.993. Job Stress also has a partial influence on performance with a calculated t result of 4.765. Apart from that, Workload and Work Stress have a partial influence on performance, namely with a calculated f result of 40.693.

Lessons From the Household Humidifier Disinfectant Tragedy (HHDT) With Focus on the Chemical Poisoning Surveillance System: Review and Recommendation.

Lessons learned from the Household Humidifier Disinfectant Tragedy (HHDT) in Korea, which poisoned thousands of citizens over a period of years, necessitated an examination of national poison prevention and surveillance systems. The objectives of this study are to identify essential changes needed in chemical poisoning prevention regulations and surveillance systems for effective poison control by comparing recent trends in international poison control center (PCC) operations, and to delineate the critical elements for establishing a state-of-the-art poison control surveillance system in Korea based on recent advances in PCCs with toxicovigilance. A comprehensive review of Korea's regulatory and surveillance systems for chemical health hazards, with a focus on household products under the HHDT, was conducted. A review of toxicovigilance systems in major countries shows that creating an effective national PCC requires key elements: a centralized database of toxic substances and poisoning cases, mandatory or voluntary reporting of poisoning cases, real-time alerts, collaboration among health organizations, and targeted follow-up of poisoned individuals. Significant deficiencies in Korea's legislation, toxicological data management, and poisoning surveillance systems, explained the inadequate response of the Korean government to the HHDT for nearly 17 years until the end of 2011. Based on a review of PCC toxicovigilance systems in major countries, a national framework with five core components is recommended for establishing a modern comprehensive Korea PCC system with toxicovigilance capacity. The core components include establishment of a centralized database of toxic substances information and clinical poisoning cases, implementation of mandatory or permissive reporting of poisoning cases, real-time alert mechanisms, collaborative systems among health-related organizations, and clinical follow-up of poisoned sub-groups. A rationale and framework for a state-of-the-art national Korean PCC with toxicovigilance is justified and offered. This proposed system could assist neighboring countries in establishing their own sophisticated, globally integrated PCC networks.

The Urgency of the Bantul Regional Disaster Management Agency in Increasing Disaster Awareness among Women’s Community

Women are included in the list of vulnerable victims of disaster due to their lack of skills and lower physical strength than men. The role of the Regional Disaster Management Agency (BPBD) as a communicator or messenger is required in the efforts to increase disaster awareness and information among women's community. This urgency is supported by the condition of the area which has a high risk of disaster as well as the fact that the total female population outnumbers the males. This research aims to find out how the BPBD of Bantul Regency uses social media to promote disaster awareness and information to the women's community. In the digital era, social media is considered capable of channeling messages more widely to reach underserved communities. This research used a qualitative method with a case study approach. The research results show that the BPBD of Bantul Regency have made some efforts to increase disaster awareness and information among women's community by involving direct participation. In carrying out the role, the communicator has a structured information delivery and processing chain by involving Pusdalops (the Operational Control Center) and teams from each field. This results in messages wrapped in the form of social media content, even though the disaster narrative does not yet represent efforts to increase disaster awareness and information for women's community. The target of this social media communication is the general public, both men and women. The existence of a structured information delivery and processing chain as well as mastered materials can make the messages reach the women's community. The researchers propose an alternative model for disaster communication through social media as an effort to increase disaster awareness and information among women's community without changing existing disaster information communication patterns. The researchers propose this model to fill the gap in the role of teams in each field who should have knowledge capacity related to the disaster awareness and information among women's community

Design and research of suburban railway fire alarm system

With the rapid development of suburban rail transit, fire safety issues have received more and more attention. As the first line of the Shanghai Suburban Railway, the fire safety problem of the Shanghai Suburban Railway Airport Link Line is more prominent. In this paper, an automatic fire alarm system is designed and researched for the fire safety problem of the Shanghai Railway Airport Liaison Line, which adopts a hierarchical distributed structure and can realize accurate fire detection thorough immediately sending fire alarm information to the station control room and line operation control center and informing the location of the fire area. At the same time, the system also coordinates with the BAS system and ISCS system or independently realizes the linkage control of fire fighting equipment. The research results of this paper are of great significance for improving the fire safety level of Shanghai railway airport links.

An ergonomic focus evaluation of work-related musculoskeletal disorders amongst operators in the UAE network control centres

Work-related musculoskeletal disorders (WMSDs) have rapidly increased during the last decade, but only a few descriptive surveys have been conducted in the United Arab Emirates (UAE). This study investigated the prevalence of WMSDs and analysed their ergonomic risks amongst operators in the network control rooms across two government organisations, X and Y, in the UAE. Essential data were collected by the Nordic Musculoskeletal Questionnaire (NMQ) and the Maastricht Upper Extremity Questionnaire (MUEQ) from online surveys and direct observations based on the Rapid Office Strain Assessment (ROSA) and the Rapid Upper Limb Assessment (RULA) form and ergonomic measurements for the working environments, respectively. Fifty-three and eighteen operators participated from Organisations X and Y. This study found a high presence of WMSDs in both organisations over the past 12 months. In Organisation X, individual, work-related physical and psychosocial risk factors of high BMI, educational level, morning work shift, high job duration, lack of exercise habit, awkward body posture, high job demand, low job control, and low work social support were associated with WMSDs in different body areas (p < 0.05). In Organisation Y, older age, high BMI, high job duration, lack of exercise habits, unergonomic workstations, awkward body posture, low break time, high job demand, and stress level were associated with WMSDs in different body areas (p < 0.05). The control room operators' most affected body areas were the back, eyes, and neck. Several efficient ergonomic intervention ideas were explored to lessen the detrimental effects of WMSDs and preclude the development of WMSDs amongst the control centre operators.

A novel system-theoretic approach for human-system collaboration safety: Case studies on two degrees of autonomy for autonomous ships

Shore control center (SCC) operators of maritime autonomous surface ships (MASS) may be allocated with complex responsibilities within different degrees of autonomy (DoA), from remote control to remote supervision, and the role of human in-the-loop is significant. In the current research on MASS, however, the safety of interactions between humans and systems are not sufficiently considered. Hence, this paper proposes a system-theoretic approach to safety analysis for human-system collaboration. The novelty of the approach is the definition of operational contexts of MASS and the integration of a human cognitive model into the system theoretic process analysis (STPA), called STPA-Cog. The method is demonstrated in two case studies of MASS: (i) remote control mode (RCM) and (ii) remote supervision mode (RSM), focusing on two types of navigational accidents (i.e., collision and grounding). The analysis results are derived by comparing the human-related and technical-related causal scenarios in RCM and in RSM. The findings can assist in human-oriented design and operational planning for SCC of MASS. Further, the proposed approach also has the potential to be used and extended to systemic safety analysis in other intelligent transportation systems.

Kolaborasi Interfungsional dan Kualitas Pelayanan Pusat Kontrol Operasi di Bandara I Gusti Ngurah Rai

The study aims to analyze the Airport Operation Control Center (AOCC) operational performance through interfunctional cooperation on the operational quality of I Gusti Ngurah Rai Airport in Bali. The airport facilities and infrastructures are considered inadequate when they are compared to the growth rate of air traffic. Ideally, the study wants to find out the effect of Airport Operation Control Center’s performance on airport operational service quality and the mediating role of interfunctional cooperation on airport operational service quality. The sample of 49 stakeholders and AOCC users at I Gusti Ngurah Rai Airport in Bali was used as the saturated sampling method and the data were analyzed using Structural Equation Model (SEM) with Smart PLS program. The results show that the operational performance has direct effect on interfunctional cooperation and airport operational service quality. Furthermore, the interfunctional cooperation is able to mediate the AOCC operational performance and the quality of airport operational services.

APPLICATION OF WIRELESS COMMUNICATION AND TECHNICAL VISION TECHNOLOGIES TO IMPROVE AVIATION SEARCH AND RESCUE OPERATIONS

The subject of research in the article is approaches to improving the onboard equipment of a search and rescue aircraft (AC). The purpose of the study is to develop proposals for improving the technical means of searching for aircraft that have suffered an accident, namely video surveillance systems and information transmission to the control centers (CC) of the search and rescue operation, based on the analysis of the Rules for Search and Rescue Support of Flights of the State Aviation of Ukraine and foreign experience in search and rescue operations. It is proposed to use a light multipurpose helicopter of the Mi-2 type as a search and rescue aircraft (SRAC). The work solves the following problems: studying modern approaches to ensuring aviation search and rescue operations; analyzing technical means of ensuring the search for crashed aircraft; developing proposals for a method of transmitting information from the airborne control center to the ground control center; selecting a suitable carrier for special equipment and individual samples of video surveillance and data transmission systems. The method of comparative analysis is used to solve partial problems. The following results have been obtained: the requirements for the search characteristics of SRAC are determined, in particular, it is proposed to use a light multipurpose helicopter as SRAC; a scheme for organizing communication with the search operation control center using wireless communication technologies is presented; specific requirements for individual components of SRAC onboard special equipment are formulated. Conclusions. The introduction of wireless communication technologies together with thermal imaging equipment will increase the speed and efficiency of searching for crashed aircraft, especially at night and in conditions of limited visibility (fog, smoke). In addition, the range of tasks of light helicopters such as the Mi-2 is expanding, and the number of both onboard and ground operators directly using thermal imaging equipment (infrared camera) to determine the location of the crash is increasing. In this case, the total number of personnel involved in search and rescue operations is not affected.

Assessment of Dynamic Object Information Utilization Service in a Control Center for Each Urban Scale via Fuzzy AHP

Recently, the demand for citizen-sensible service solutions such as traffic, crime prevention, and disasters in smart cities is increasing. In order to provide technology-based smart city services, local government control centers could be utilized. Accordingly, this paper presented a method for selecting a control center-based dynamic object information utilization service model through in-depth interviews with 26 related local government control center operation personnel. A comparative analysis according to the size of the local government to which the evaluator belongs was also performed. As a methodology, Fuzzy AHP was used, which can support rational decision-making by mathematically expressing ambiguous phenomena such as subjective and uncertain judgments. The summary of the research results is as follows. Services related to recent incidents in South Korea (e.g., school zone traffic accidents and lowland inundation) were identified as very important. These social issues are significant factors in policy decisions. In comparing the results for each urban scale, the importance of pedestrian safety services on backside roads and main road traffic services was found to be important in the metropolitan area and regional, medium, and small cities, respectively. This was attributed to metropolitan cities with high population density, and medium and small cities experiencing alienated traffic information. In metropolitan areas, new services are highly important owing to the demand for a more scientific control service and future mobility based on a sound control infrastructure. In medium and small cities, facility management services were assessed relatively highly owing to the poor conditions of regional cities with a lack of supervising personnel in the field and a lack of surveillance system infrastructure. This paper was able to confirm the difference in service preference by city size, and it is necessary to select the optimal service model considering these results.

An integrated image task planning in satellite networks: From instruction release and observation perspective

The unreasonable observation arrangements in the satellite operation control center (SOCC) may result in the observation data cannot be downloaded as scheduled. Meanwhile, if the operation instructions released by the satellite telemetry tracking center (STTC) for the on-board payloads are not injected on the specific satellites in time, the corresponding satellites cannot perform the observation operations as planned. Therefore, there is an urgent need to design an integrated instruction release, and observation task planning (I-IRO-TP) scheme by efficiently collaborating the SOCC and STTC. Motivated by this fact, we design an interaction mechanism between the SOCC and the STTC, where we first formulate the I-IRO-TP problem as a constraint satisfaction problem aiming at maximizing the number of completed tasks. Furthermore, we propose an interactive imaging task planning algorithm based on the analysis of resource distribution in the STTC during the previous planning periods to preferentially select the observation arcs that not only satisfy the requirements in the observation resource allocation phase but also facilitate the arrangement of measurement and control instruction release. We conduct extensive simulations to demonstrate the effectiveness of the proposed algorithm in terms of the number of completed tasks.

STANDAR KOMPETENSI SDM PENYELENGGARA PERKERETAAPIAN MODERN

The impact of industry 4.0 is very significant on the use of human resources (HR) due to changes in the technology used, including the presence of modern railways. The development of railway technology in Indonesia is increasing rapidly. HR related to the implementation of modern railways requires additional competence in order to ensure the safety of the transportation system. This study is intended to analyze the need for HR standards of competency in the modern railway sector and evaluate the readiness of the regulator in preparing its human resources. Standards of competency are identified using Gap Analysis through benchmarking. Meanwhile, SWOT Analysis is used to evaluate the HR preparation. The results of the analysis show that there are 6 core technologies of modern railways that distinguish modern railways from conventional ones, namely Civil infrastructure and tracks, Rolling Stock, Electric power facilities, Signaling and telecommunication facilities, Operation Control Center, and ICT (Information and Communications Technology) System. The HR competency on modern railways must be able to support the use of these core technologies. Eleven main functions of modern railways HR and their respective competencies are developed. These additional competencies include aspects of safety, ICT, integrated systems, and working culture. SWOT analysis result shows that the organization is still weak internally but has opportunities from external parties. The biggest opportunity is the high demand from the industry and operators for certified HR. Its strength is only in terms of the contribution of the Education and Training Institutions which is considerable in meeting market needs. Almost all elements of the Input-Process-Output-Outcomes of Education and Training aspects identified in this study are still weak, although with varying degrees of weaknesses. The main weakness from the education and training side is the limited budget and the lack of competence of regulators and training instructors, as well as the education and training curriculum and syllabus that still need to be prepared. The quality of education and training facilities is also a major weakness. The main weakness in terms of regulation is that the SKKNI is not yet prepared. This study recommends the need to prepare HR that meet the standards of competency, including increasing the role and capacity of education and training institution, the role and preparation of regulators, as well as the need for SKKNI.

Management of Information and Communication Technology for Earthquake Disaster Management in Jayapura City

This study aims to analyze ICT management in the earthquake disaster in Jayapura Regency. This study uses a qualitative descriptive design. Sources of data come from secondary sources, which include books, journals, online news, and various documents according to the research theme. Based on research results, comprehensive and clear handling of natural disasters has been regulated in Article 5 of Chapter 3 of Law 24/2007 concerning disasters. In ICT management, Badan Nasional Penanggulangan Bencana (BNPB) and Badan Penanggulangan Bencana Daerah (BPBD) use official websites as information channels. Regarding disaster management information and communication systems, BNPB and BPBD themselves have a Disaster Management Operations Control Center, hereinafter abbreviated as Pusdalops PB. The people of Jayapura City mostly access information independently through social media.

Anomaly Detection and Classification in Streaming PMU Data in Smart Grids

The invention of Phasor Measurement Units (PMUs) produce synchronized phasor measurements with high resolution real time monitoring and control of power system in smart grids that make possible. PMUs are used in transmitting data to Phasor Data Concentrators (PDC) placed in control centers for monitoring purpose. A primary concern of system operators in control centers is maintaining safe and efficient operation of the power grid. This can be achieved by continuous monitoring of the PMU data that contains both normal and abnormal data. The normal data indicates the normal behavior of the grid whereas the abnormal data indicates fault or abnormal conditions in power grid. As a result, detecting anomalies/abnormal conditions in the fast flowing PMU data that reflects the status of the power system is critical. A novel methodology for detecting and categorizing abnormalities in streaming PMU data is presented in this paper. The proposed method consists of three modules namely, offline Gaussian Mixture Model (GMM), online GMM for identifying anomalies and clustering ensemble model for classifying the anomalies. The significant features of the proposed method are detecting anomalies while taking into account of multivariate nature of the PMU dataset, adapting to concept drift in the flowing PMU data without retraining the existing model unnecessarily and classifying the anomalies. The proposed model is implemented in Python and the testing results prove that the proposed model is well suited for detection and classification of anomalies on the fly.