A power optimization model for the long‐term planning scenarios: Case study of Mexico’s power system decarbonization

2020 ◽  
Author(s):  
Marco Antonio Martínez‐Quintana ◽  
Cecilia Martín‐del‐Campo ◽  
Guadalupe Cruz‐Mendoza
Keyword(s):  
Power System ◽  
Optimization Model ◽  
Power Optimization

A spatial multi-period long-term energy planning model: A case study of the Greek power system

2014 ◽  
Vol 115 ◽  
pp. 456-482 ◽  
Author(s):  
Nikolaos E. Koltsaklis ◽  
Athanasios S. Dagoumas ◽  
Georgios M. Kopanos ◽  
Efstratios N. Pistikopoulos ◽  
Michael C. Georgiadis
Keyword(s):  
Power System ◽  
Energy Planning ◽  
Planning Model ◽  
Term Energy

scholarly journals Can Decarbonisation and Capacity Market Go Together? The Case Study of Poland

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 5151
Author(s):  
Aleksandra Komorowska
Keyword(s):  
Power System ◽  
Fossil Fuels ◽  
Negative Impact ◽  
Dominant Role ◽  
Thermal Power ◽  
Carbon Neutrality ◽  
Capacity Markets ◽  
Capacity Market

In recent years, numerous countries have introduced or considered capacity markets as remuneration mechanisms for long-term capacity adequacy. Since adequacy is frequently linked with thermal power generation, there is an ongoing debate as to whether this instrument could impact decarbonisation. In this context, the paper presents a quantitative assessment of the consequences of introducing a capacity market on decarbonisation pathways. The Polish power system is taken as an example due to its heavy dependence on fossil fuels. To this end, a computable model of the Polish power system is developed and applied to the study of two research scenarios. The first scenario presents the power system without introducing a capacity market, while the latter considers the system with a capacity market in place. The analysis shows that the introduction of a capacity market delays the decarbonisation of the power system and has a negative impact on carbon neutrality. Even though coal-fired units are phased out, they are mainly replaced by natural gas. The method and model developed within this study can be applied to countries where a capacity market is being discussed, and fossil fuels continue to play a dominant role.

Particle Swarm Optimization Solving Nonlinear Programming Problems in Power System

2013 ◽  
Vol 760-762 ◽  
pp. 1183-1186
Author(s):  
Li Kang ◽  
Xiao Guang Li
Keyword(s):  
Nonlinear Programming ◽  
Power System ◽  
Computational Efficiency ◽  
Optimization Model ◽  
Large Scale ◽  
Voltage Stability ◽  
Reactive Power ◽  
Voltage Control ◽  
Stability Control

In order to improve the control capability of the power system voltage stability and to enhance spatial and temporal coordination of voltage control means, it is essential to establish the model of emergency voltage control that can globally mobilize reactive power support and voltage control potential. Focus on the long-term voltage stability of power system, the paper introduce nonlinear programming into emergency voltage control, settle the problem that how to establish the model of emergency voltage control. Based on detailed models of power system, the receding optimization model of long-term voltage stability control is established under framework of model predictive control. In order to improve the computational efficiency and reduce feedback delays, nonlinear programming sensitivity algorithm is proposed to solve receding optimization model. The proposed method can improve computational efficiency significantly which creates the condition for the emergency voltage control application to large-scale systems.

Caregivers' Perceptions of Speech-Language Pathologist Talk About Child Language and Literacy Disorders

2020 ◽  
Vol 29 (4) ◽  
pp. 2049-2067
Author(s):  
Karmen L. Porter ◽  
Janna B. Oetting ◽  
Loretta Pecchioni
Keyword(s):  
Language And Literacy ◽  
Collective Case Study ◽  
Study Approach ◽  
School Aged Children ◽  
Speech Language Pathologist ◽  
Therapy Goals ◽  
Semistructured Interviews ◽  
Types Of Information

Purpose This study examined caregiver perceptions of their child's language and literacy disorder as influenced by communications with their speech-language pathologist. Method The participants were 12 caregivers of 10 school-aged children with language and literacy disorders. Employing qualitative methods, a collective case study approach was utilized in which the caregiver(s) of each child represented one case. The data came from semistructured interviews, codes emerged directly from the caregivers' responses during the interviews, and multiple coding passes using ATLAS.ti software were made until themes were evident. These themes were then further validated by conducting clinical file reviews and follow-up interviews with the caregivers. Results Caregivers' comments focused on the types of information received or not received, as well as the clarity of the information. This included information regarding their child's diagnosis, the long-term consequences of their child's disorder, and the connection between language and reading. Although caregivers were adept at describing their child's difficulties and therapy goals/objectives, their comments indicated that they struggled to understand their child's disorder in a way that was meaningful to them and their child. Conclusions The findings showed the value caregivers place on receiving clear and timely diagnostic information, as well as the complexity associated with caregivers' understanding of language and literacy disorders. The findings are discussed in terms of changes that could be made in clinical practice to better support children with language and literacy disorders and their families.

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