scholarly journals Functional Analysis of the Microgrid Concept Applied to Case Studies of the Sundom Smart Grid

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4223
Author(s):  
Katja Sirviö ◽  
Kimmo Kauhaniemi ◽  
Aushiq Ali Memon ◽  
Hannu Laaksonen ◽  
Lauri Kumpulainen
Keyword(s):  
Functional Analysis ◽  
Smart Grid ◽  
Case Studies ◽  
Reactive Power ◽  
Frequency Control ◽  
Measurement Data ◽  
Case Analysis ◽  
Use Cases ◽  
Use Case ◽  
Test Use

The operation of microgrids is a complex task because it involves several stakeholders and controlling a large number of different active and intelligent resources or devices. Management functions, such as frequency control or islanding, are defined in the microgrid concept, but depending on the application, some functions may not be needed. In order to analyze the required functions for network operation and visualize the interactions between the actors operating a particular microgrid, a comprehensive use case analysis is needed. This paper presents the use case modelling method applied for microgrid management from an abstract or concept level to a more practical level. By utilizing case studies, the potential entities can be detected where the development or improvement of practical solutions is necessary. The use case analysis has been conducted from top-down until test use cases by real-time simulation models. Test use cases are applied to a real distribution network model, Sundom Smart Grid, with measurement data and newly developed controllers.. The functional analysis provides valuable results when studying several microgrid functions operating in parallel and affecting each other. For example, as shown in this paper, ancillary services provided by an active customer may mean that both the active power and reactive power from customer premises are controlled at the same time by different stakeholders.

Developing a framework for considering blockchain pilots in the supply chain – lessons from early industry adopters

2019 ◽  
Vol 25 (1) ◽  
pp. 115-121 ◽  
Author(s):  
Remko van Hoek
Keyword(s):  
Supply Chain ◽  
Case Studies ◽  
Empirical Research ◽  
Lessons Learned ◽  
Use Cases ◽  
Use Case ◽  
Content Type ◽  
Early Adopters ◽  
Design Considerations ◽  
Blockchain Technology

Purpose There is a lot of interest in blockchain technology in the supply chain, but to date, there is little empirical research to support managerial decision-making. Verhoeven et al. (2018) suggested five screens for ensuring mindful development of use cases for blockchain in the supply chain. This paper aims to extend the Verhoeven et al.’s (2018) framework and empirical research beyond the use case stage into the pilot stage. Design/methodology/approach Three case studies in different industries (logistics services, consumer products and retail), supply chain positions (manufacturer, carrier, and retailer) and geographies (Europe and USA) are conducted to explore lessons learned by early adopters of blockchain technology in the supply chain. Findings The case studies indicate that the Verhoeven et al.’s (2018) screens, with one added screen, are helpful in considering “what to adopt.” Based on the insights from the case studies, it is also possible to develop pilot design considerations that can inform “where to start.” Lessons learned include that there is value in scoping pilots in a targeted manner, including the use of existing technology in the pilot (as opposed to replacing existing technology) and that there is the ability to start a pilot fast, provided the existence of executive and stakeholder engagement. Practical implications In addition to the need to be being mindful in considering what use case for blockchain in the supply chain to potentially adopt, mindful consideration of blockchain technology in the supply chain extends into the design of pilots. Six specific design considerations are offered. Originality/value Based on the insights from early adopters in industry, the author extends guidance for the mindful adoption of blockchain in the supply chain beyond the development of use cases, into the design of actual pilots. These insights directly address calls for research from literature (including from Dobrovnik et al., 2018 and Ferdows, 2018).

scholarly journals A Smart Algorithm for USE-Cases Production Based on Name Entity Recognition

2015 ◽  
Vol 8 (4) ◽  
pp. 51 ◽  
Author(s):  
Rafeeq Al Hashemi ◽  
Moha’med Al-Jaafreh ◽  
Tahseen Al-Ramadin ◽  
Ayman Al Dmour
Keyword(s):  
Unified Modeling Language ◽  
Case Analysis ◽  
Name Entity Recognition ◽  
Use Cases ◽  
Entity Recognition ◽  
Use Case ◽  
Functional Requirements ◽  
Part Of Speech ◽  
Name Entity ◽  
Finite State

Use case analysis is a common technique used to ascertain the functional requirements of a software system. A use case diagram is a kind of Unified Modeling Language (UML) diagram created for use case analysis. Creating effective use cases can be a determining factor in building a system that meets users' needs. However, writing use cases is a difficult and time-consuming process, requiring the user to manually fill out a form or write text in a specific, pre-stipulated format. Many students lack the technical knowhow to do this. Our research offers a software solution that resolves this issue. By combining natural language algorithms, such as Part Of Speech (POS) and Name Entity recognition (NE), with a set of grammatical rules created and implemented as a Finite State Machine (FSM), our system extracts the relevant items from the text and automatically translates the plain or unstructured text into a structured one.  The paper has been tested on standard examples with excellent results.

Responsible test use: Case studies for assessing human behavior.

1993 ◽  
Author(s):  
Lorraine D. Eyde ◽  
◽  
Gary J. Robertson ◽  
Samuel E. Krug ◽  
Kevin L. Moreland ◽  
...  
Keyword(s):  
Case Studies ◽  
Human Behavior ◽  
Use Case ◽  
Test Use

Circle therapy for headache management: case studies

2020 ◽  
Vol 24 (1) ◽  
pp. 101-104
Author(s):  
Muhammad Rafiq
Keyword(s):  
Pain Intensity ◽  
Case Studies ◽  
Rating Scale ◽  
Psychological Pain ◽  
Current Case ◽  
Paired Samples ◽  
Subjective Pain ◽  
Headache Management ◽  
Test Use ◽  
Pain Rating Scale

Recent findings have indicated that hypnotic interventions produce significant decrease in pain intensity. This current case studies are focused to highlight significant impact on pain management including headache. All the patients underwent a complete observation and clinical interview and only patients with psychological pain were included in the study group. For the management of headache, a novel hypnotic intervention - Circle Therapy (CT), was applied on a group of ten patients indicating their pain intensity in the range of 8-10 on subjective pain rating scale. According to rating scale, headache above 8 was considered as severe, 5-8 moderate and < 5 as mild.  CT is a brief hypnotic technique limited to about 10 min. Post hypnosis ratings were also measured. The pre and post hypnosis data were recorded and analyzed by paired samples t test. Use of CT showed significant results between pre and post rating e.g. 9 ± 0.25 vs. 1 ± 0.21 (p < 0.001). This brief CT intervention provided an immediate relief from headache, however, this is limited to few case studies focusing on just headache. So, we recommend large sample studies to document the effects of CT in different types of pain. Citation: Rafiq M. Circle therapy for headache management: case studies. Anaesth pain intensive care 2020;24(1):__ DOI: https://doi.org/10.35975/apic.v24i1. Received – 28 December 2019; Reviewed – 10 January 2020; Accepted - 10 January 2020;

scholarly journals Using Actors and Use Cases for Software Size Estimation

Electronics ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 592
Author(s):  
Radek Silhavy ◽  
Petr Silhavy ◽  
Zdenka Prokopova
Keyword(s):  
Project Planning ◽  
Use Cases ◽  
New Method ◽  
Software Systems ◽  
Software Project ◽  
Use Case ◽  
Size Estimation ◽  
Software Size Estimation ◽  
Use Case Points

Software size estimation represents a complex task, which is based on data analysis or on an algorithmic estimation approach. Software size estimation is a nontrivial task, which is important for software project planning and management. In this paper, a new method called Actors and Use Cases Size Estimation is proposed. The new method is based on the number of actors and use cases only. The method is based on stepwise regression and led to a very significant reduction in errors when estimating the size of software systems compared to Use Case Points-based methods. The proposed method is independent of Use Case Points, which allows the elimination of the effect of the inaccurate determination of Use Case Points components, because such components are not used in the proposed method.

scholarly journals Integration and control of lithium-ion BESSs for active network management in smart grids: Sundom smart grid backup feeding case

2021 ◽  
Author(s):  
Chethan Parthasarathy ◽  
Hossein Hafezi ◽  
Hannu Laaksonen
Keyword(s):  
Smart Grid ◽  
Network Management ◽  
Smart Grids ◽  
Reactive Power ◽  
Renewable Energy Sources ◽  
Lithium Ion ◽  
Active Network ◽  
Li Ion ◽  
Grid Side ◽  
And Control

AbstractLithium-ion battery energy storage systems (Li-ion BESS), due to their capability in providing both active and reactive power services, act as a bridging technology for efficient implementation of active network management (ANM) schemes for land-based grid applications. Due to higher integration of intermittent renewable energy sources in the distribution system, transient instability may induce power quality issues, mainly in terms of voltage fluctuations. In such situations, ANM schemes in the power network are a possible solution to maintain operation limits defined by grid codes. However, to implement ANM schemes effectively, integration and control of highly flexible Li-ion BESS play an important role, considering their performance characteristics and economics. Hence, in this paper, an energy management system (EMS) has been developed for implementing the ANM scheme, particularly focusing on the integration design of Li-ion BESS and the controllers managing them. Developed ANM scheme has been utilized to mitigate MV network issues (i.e. voltage stability and adherence to reactive power window). The efficiency of Li-ion BESS integration methodology, performance of the EMS controllers to implement ANM scheme and the effect of such ANM schemes on integration of Li-ion BESS, i.e. control of its grid-side converter (considering operation states and characteristics of the Li-ion BESS) and their coordination with the grid side controllers have been validated by means of simulation studies in the Sundom smart grid network, Vaasa, Finland.

scholarly journals Propagation of Voltage Deviations in a Power System

Electronics ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 949
Author(s):  
Tomasz Okon ◽  
Kazimierz Wilkosz
Keyword(s):  
Power System ◽  
Case Studies ◽  
Measurement Data ◽  
Theoretical Background ◽  
Original Method ◽  
Operational Experience ◽  
Remedial Measures ◽  
Time Points ◽  
General Candidate ◽  
Time Point

The paper deals with voltage profiles in a power system. The analysis of these profiles is important due to the requirement that the Root-Mean-Squared (RMS) values of nodal voltages should be within certain ranges, as well as to ensure desired power flows in a power system. In both cases, it is desirable to indicate points in a power system where it is reasonable to apply remedial measures to meet the requirements for RMS values of nodal voltages, or to effectively control the power flows in a power system. In general, candidate nodes for remediation are established based on operational experience or measurement data from a certain time point (sometimes from several time points). The paper presents a method that provides a basis for determining the aforementioned candidate nodes based on the behavior of a system over a certain period of time, which is an unquestionable advantage of this proposal. In order to achieve the abovementioned goal, the method provides for the analysis of propagation of voltage RMS value deviations in a power system. The analysis of correlational relationships between the RMS values of nodal voltages is used for this. After presentation of the theoretical background, the new original method is described in the paper. Then, case studies showing the utilization of that method are presented. At the end of the paper, features of the proposed method are enumerated.

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