scholarly journals A Mixed Method Approach for the Analysis of Variable Renewable Energy Integration in Developing and Fragile States

2021 ◽  
Author(s):  
Luca Pizzimbone
Keyword(s):  
Renewable Energy ◽  
Mixed Method ◽  
Flow Analysis ◽  
Load Flow ◽  
Distribution Functions ◽  
Fragile States ◽  
Energy Integration ◽  
Mixed Method Approach ◽  
Load Flow Analysis ◽  
Method Approach

<p>The paper presents a mixed method approach for the analysis of power systems in augmented uncertainty scenarios, related to the increasing penetration of variable renewable energy and country specific constraints to be found in fragile states.</p> <p>In the formulated methodology, both deterministic and probabilistic load flow have their own specific, necessary and interactive role. To establish the soundness of the methodology, the analysis is conducted for a real case study, along with wind speed measurements (eleven-month duration), visual model validations, statistical and load flow analysis.</p> <p>The probabilistic simulations are based on Monte Carlo (MC) analysis. Synthetic data are created from probabilistic distribution functions (PDF) calculated on original measured samples, operational constraints, and load uncertainties. These data are processed by load flow simulations and the results consolidated and analyzed.</p> <p>To facilitate the implementation of the proposed methods, scripts developed in Python programming language have been created for the analysis of statistical data, sample generation, post processing, data visualization and the interaction with conventional software for load flow analysis. The scripts are made public and available for download.</p> <p>The proposed methodology of analysis, conceptualized for developing and fragile states, may also be used as a basis for all power system planning where the number of uncertainties is no longer negligible, and the use of deterministic methods alone would provide inadequate results.</p>

scholarly journals A Mixed Method Approach for the Analysis of Variable Renewable Energy Integration in Developing and Fragile States

2021 ◽  
Author(s):  
Luca Pizzimbone
Keyword(s):  
Renewable Energy ◽  
Mixed Method ◽  
Flow Analysis ◽  
Load Flow ◽  
Distribution Functions ◽  
Fragile States ◽  
Energy Integration ◽  
Mixed Method Approach ◽  
Load Flow Analysis ◽  
Method Approach

<p>The paper presents a mixed method approach for the analysis of power systems in augmented uncertainty scenarios, related to the increasing penetration of variable renewable energy and country specific constraints to be found in fragile states.</p> <p>In the formulated methodology, both deterministic and probabilistic load flow have their own specific, necessary and interactive role. To establish the soundness of the methodology, the analysis is conducted for a real case study, along with wind speed measurements (eleven-month duration), visual model validations, statistical and load flow analysis.</p> <p>The probabilistic simulations are based on Monte Carlo (MC) analysis. Synthetic data are created from probabilistic distribution functions (PDF) calculated on original measured samples, operational constraints, and load uncertainties. These data are processed by load flow simulations and the results consolidated and analyzed.</p> <p>To facilitate the implementation of the proposed methods, scripts developed in Python programming language have been created for the analysis of statistical data, sample generation, post processing, data visualization and the interaction with conventional software for load flow analysis. The scripts are made public and available for download.</p> <p>The proposed methodology of analysis, conceptualized for developing and fragile states, may also be used as a basis for all power system planning where the number of uncertainties is no longer negligible, and the use of deterministic methods alone would provide inadequate results.</p>

scholarly journals A Mixed Method Approach for the Analysis of Variable Renewable Energy Integration in Developing and Fragile States

2021 ◽  
Author(s):  
Luca Pizzimbone
Keyword(s):  
Renewable Energy ◽  
Mixed Method ◽  
Flow Analysis ◽  
Load Flow ◽  
Distribution Functions ◽  
Fragile States ◽  
Energy Integration ◽  
Mixed Method Approach ◽  
Load Flow Analysis ◽  
Method Approach

<p>The paper presents a mixed method approach for the analysis of power systems in augmented uncertainty scenarios, related to the increasing penetration of variable renewable energy and country specific constraints to be found in fragile states.</p> <p>In the formulated methodology, both deterministic and probabilistic load flow have their own specific, necessary and interactive role. To establish the soundness of the methodology, the analysis is conducted for a real case study, along with wind speed measurements (eleven-month duration), visual model validations, statistical and load flow analysis.</p> <p>The probabilistic simulations are based on Monte Carlo (MC) analysis. Synthetic data are created from probabilistic distribution functions (PDF) calculated on original measured samples, operational constraints, and load uncertainties. These data are processed by load flow simulations and the results consolidated and analyzed.</p> <p>To facilitate the implementation of the proposed methods, scripts developed in Python programming language have been created for the analysis of statistical data, sample generation, post processing, data visualization and the interaction with conventional software for load flow analysis. The scripts are made public and available for download.</p> <p>The proposed methodology of analysis, conceptualized for developing and fragile states, may also be used as a basis for all power system planning where the number of uncertainties is no longer negligible, and the use of deterministic methods alone would provide inadequate results.</p>

scholarly journals Modeling and Load Flow Analysis of a Microgrid Laboratory.

2019 ◽  
Vol 3 (2) ◽  
pp. 103-111
Author(s):  
Taufik ◽  
Matthew A. Guevara ◽  
Ali Shaban ◽  
Ahmad Nafisi
Keyword(s):  
Renewable Energy ◽  
Hardware Implementation ◽  
Flow Analysis ◽  
Load Flow ◽  
Electric Power System ◽  
State University ◽  
Electrical Grid ◽  
Load Flow Analysis ◽  
Simulation Results ◽  
Hardware Test

Microgrids-miniature versions of the electrical grid are becoming increasingly more popular as advancements in technologies, renewable energy mandates, and decreased costs drive communities to adopt them. The modern microgrid has capabilities of generating, distributing, and regulating the flow of electricity, capable of operating in both grid-connected and islanded (disconnected) conditions. This paper utilizes ETAP software in the analysis, simulation, and development of a lab-scale microgrid located at Cal Poly State University. Microprocessor-based relays are heavily utilized in both the ETAP model and hardware implementation of the system. Three case studies were studied and simulated to investigate electric power system load flow analysis of the Cal Poly microgrid. Results were compared against hardware test measurements and showed overall agreement. Slight discrepancies were observed in the simulation results due mainly to the non-ideality of actual hardware components and lab equipment.

Underpining the Relaionships between Burnout, Depression and Somatic Stress - A Mixed Method Approach

2018 ◽  
Vol 2 (1) ◽  
pp. 5-16
Author(s):  
Syed Gohar Abbas ◽  
◽  
Jalil Ahmed ◽  
Zainab Fakhr
Keyword(s):  
Mixed Method ◽  
Mixed Method Approach ◽  
Somatic Stress ◽  
Method Approach

A case study evaluation of a community multidisciplinary team in South East England using a mixed-method approach

2020 ◽  
Vol 70 (suppl 1) ◽  
pp. bjgp20X711569
Author(s):  
Jessica Wyatt Muscat
Keyword(s):  
Mental Health ◽  
Mixed Method ◽  
Social Care ◽  
Free Form ◽  
Normalisation Process Theory ◽  
Multidisciplinary Teams ◽  
Mixed Method Approach ◽  
Health And Social Care ◽  
Method Approach

BackgroundCommunity multidisciplinary teams (MDTs) represent a model of integrated care comprising health, social care, and the voluntary sector where members work collaboratively to coordinate care for those patients most at risk.AimThe evaluation will answer the question, ‘What are the enablers and what are the restrictors to the embedding of the case study MDT into the routine practice of the health and social care teams involved in the project?’MethodThe MDT was evaluated using a mixed-method approach with normalisation process theory as a methodological tool. Both quantitative and qualitative data were gathered through a questionnaire consisting of the NoMAD survey followed by free-form questions.ResultsThe concepts of the MDT were generally clear, and participants could see the potential benefits of the programme, though this was found to be lower in GPs. Certain professionals, particularly mental health and nursing professionals, found it difficult to integrate the MDT into normal working patterns because of a lack of resources. Participants also felt there was a lack of training for MDT working. A lack of awareness of evidence supporting the programme was shown particularly within management, GP, and nursing roles.ConclusionSpecific recommendations have been made in order to improve the MDT under evaluation. These include adjustments to IT systems and meeting documentation, continued education as to the purpose of the MDT, and the engagement of GPs to enable better buy-in. Recommendations were made to focus the agenda with specialist attendance when necessary, and to expand the MDT remit, particularly in mental health and geriatrics.

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