scholarly journals Optimization of Stochastic Lossy Transport Networks and Applications to Power Grids

2021 ◽  
Author(s):  
Alessandro Zocca ◽  
Bert Zwart
Keyword(s):  
Mathematical Model ◽  
Renewable Energy ◽  
Smart Grids ◽  
Transport Network ◽  
Power Grids ◽  
Performance Gain ◽  
Power Losses ◽  
Transport Networks ◽  
Trade Off ◽  
Stochastic Load

Motivated by developments in renewable energy and smart grids, we formulate a stylized mathematical model of a transport network with stochastic load fluctuations. Using an affine control rule, we explore the trade-off between the number of controllable resources in a lossy transport network and the performance gain they yield in terms of expected power losses. Our results are explicit and reveal the interaction between the level of flexibility, the intrinsic load uncertainty, and the network structure.

scholarly journals The Present Trends and Challenges in Renewable Energy Sources Connected to a Grid

2019 ◽  
Vol 8 (12) ◽  
pp. 3118-3130
Keyword(s):  
Renewable Energy ◽  
Smart Grids ◽  
Renewable Energy Sources ◽  
Power Grids ◽  
Energy Sources ◽  
Self Healing ◽  
Monitoring And Control ◽  
Decentralized Generation ◽  
Policy Interventions ◽  
And Control

Smart grids are alterations of the traditional power grids where the monitoring and control of the electricity system are faster and easier than before due to their automated self-healing and sensing processes. However, their primary target is two-way communication, which is only feasible if the decentralized generation of power will exist alongside the national grid. In that light, this report first gives a comprehensive description of smart grids and their history. Afterward, it examines the two major groups of challenges to the penetration of the technology; that is technical and regulatory, policy, and economic challenges. Case studies from the U.S., Canada, Korea, California, and Sweden are used to illustrate the discovered trends and challenges to renewable energy sources connected to grids and demonstrate possible solutions. The research design employed in the study is diagnostic since the problem, its history, and solutions are all reviewed in the report. The study's recommendation is policy interventions to solve both the regulatory and technical challenges to the proliferation of gridded renewables.

scholarly journals Transition towards Sustainable Energy

2020 ◽  
Author(s):  
Hendro Wicaksono
Keyword(s):  
Renewable Energy ◽  
Information And Communication Technologies ◽  
Demand Response ◽  
Smart Grids ◽  
Renewable Energy Sources ◽  
Communication Technologies ◽  
Power Grids ◽  
Energy Potential ◽  
Information And Communication ◽  
Demand Response Programs

The presentation describes the comparison of energy consumption and generation between Germany and Indonesia. It shows then the potential of renewable energy potential in Indonesia and the estimation of their utilization by 2030. The introduction of renewable energy sources in power grids requires the integration of information and communication technologies. The presentation explains the integration through smart grids and demand response programs.

scholarly journals An Electric Scooter (G2V/V2H/V2G) With Renewable Energy Harvesting Functions

2019 ◽  
pp. 302-307
Author(s):  
P. Avirajamanjula ◽  
A. Gnanaseharan
Keyword(s):  
Renewable Energy ◽  
Energy Harvesting ◽  
Energy Management ◽  
Smart Grids ◽  
Electricity Consumption ◽  
Power Grids ◽  
Residential Energy ◽  
Residential Energy Management ◽  
Electric Scooter ◽  
The Impact

Smart grids are advancing the management efficiency and security of power grids with the integration of energy storage, distributed controllers, and advanced meters. In particular, with the increasing prevalence of residential automation devices and distributed renewable energy generation, residential energy management is now drawing more attention. Meanwhile, the increasing adoption of electric vehicle (EV) brings more challenges and opportunities for smart residential energy management. This project analyzes the impact of photovoltaic (PV) systems on storage and electric vehicles in micro-grids. As these kinds of systems are becoming increasingly popular in the residential sector, the development of a new generation of equipment, such as more efficient batteries or solar panels, makes further study necessary. These systems are especially interesting in commercial or office buildings, since they have a more repetitive daily pattern of electricity consumption, which usually occurs within the maximum solar radiation hours. This project proposes an electric scooter with grid-to vehicle/ vehicle-to-home (V2H)/vehicle-to-grid (V2G) and energy harvesting functions.

scholarly journals Advances in the Application of Machine Learning Techniques for Power System Analytics: A Survey

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4776
Author(s):  
Seyed Mahdi Miraftabzadeh ◽  
Michela Longo ◽  
Federica Foiadelli ◽  
Marco Pasetti ◽  
Raul Igual
Keyword(s):  
Machine Learning ◽  
Power Systems ◽  
Smart Grids ◽  
State Of The Art ◽  
Smart Cities ◽  
Power Grids ◽  
Machine Learning Techniques ◽  
Learning Techniques ◽  
New Research ◽  
Traditional Approaches

The recent advances in computing technologies and the increasing availability of large amounts of data in smart grids and smart cities are generating new research opportunities in the application of Machine Learning (ML) for improving the observability and efficiency of modern power grids. However, as the number and diversity of ML techniques increase, questions arise about their performance and applicability, and on the most suitable ML method depending on the specific application. Trying to answer these questions, this manuscript presents a systematic review of the state-of-the-art studies implementing ML techniques in the context of power systems, with a specific focus on the analysis of power flows, power quality, photovoltaic systems, intelligent transportation, and load forecasting. The survey investigates, for each of the selected topics, the most recent and promising ML techniques proposed by the literature, by highlighting their main characteristics and relevant results. The review revealed that, when compared to traditional approaches, ML algorithms can handle massive quantities of data with high dimensionality, by allowing the identification of hidden characteristics of (even) complex systems. In particular, even though very different techniques can be used for each application, hybrid models generally show better performances when compared to single ML-based models.

scholarly journals Advanced Grid Integration Test Platform for Increased Distributed Renewable Energy Penetration in Smart Grids

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 34040-34053
Author(s):  
Jun Hashimoto ◽  
Taha Selim Ustun ◽  
Masaichi Suzuki ◽  
Shuichi Sugahara ◽  
Michiyuki Hasegawa ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Smart Grids ◽  
Grid Integration ◽  
Integration Test ◽  
Test Platform

scholarly journals Evaluating Performance of Public Transport Networks by Using Public Transport Criteria Matrix Analytic Hierarchy Process Models—Case Study of Stonnington, Bayswater, and Cockburn Public Transport Network

2021 ◽  
Vol 13 (12) ◽  
pp. 6949
Author(s):  
Gang Lin ◽  
Shaoli Wang ◽  
Conghua Lin ◽  
Linshan Bu ◽  
Honglei Xu
Keyword(s):  
Sustainable Development ◽  
Public Transport ◽  
Public Transportation ◽  
Evaluation Criteria ◽  
Performance Standards ◽  
Transport Network ◽  
Process Models ◽  
Transport Infrastructure ◽  
Transport Networks ◽  
Ahp Model

To mitigate car traffic problems, the United Nations Human Settlements Programme (UN-Habitat) issued a document that provides guidelines for sustainable development and the promotion of public transport. The efficiency of the policies and strategies needs to be evaluated to improve the performance of public transportation networks. To assess the performance of a public transport network, it is first necessary to select evaluation criteria. Based on existing indicators, this research proposes a public transport criteria matrix that includes the basic public transport infrastructure level, public transport service level, economic benefit level, and sustainable development level. A public transport criteria matrix AHP model is established to assess the performance of public transport networks. The established model selects appropriate evaluation criteria based on existing performance standards. It is applied to study the Stonnington, Bayswater, and Cockburn public transport network, representing a series of land use and transport policy backgrounds. The local public transport authorities can apply the established transport criteria matrix AHP model to monitor the performance of a public transport network and provide guidance for its improvement.

The Role of Politics in the Historical Transport Networks of the Iberian Peninsula and the Pyrenees from Roman Times to the Nineteenth Century

2021 ◽  
Vol 45 (2) ◽  
pp. 233-260
Author(s):  
Pau de Soto ◽  
Cèsar Carreras
Keyword(s):  
Iberian Peninsula ◽  
Social Factors ◽  
Transport Network ◽  
Political Organization ◽  
Transport Systems ◽  
The Political ◽  
Political Systems ◽  
Transport Networks ◽  
Political Economic

AbstractTransport routes are basic elements that are inextricably linked to diverse political, economic, and social factors. Transport networks may be the cause or result of complex historical conjunctions that reflect to some extent a structural conception of the political systems that govern each territory. It is for this reason that analyzing the evolution of the transport routes layout in a wide territory allows us to recognize the role of the political organization and its economic influence in territorial design. In this article, the evolution of the transport network in the Iberian Peninsula has been studied in a broad chronological framework to observe how the different political systems of each period understood and modified the transport systems. Subsequently, a second analysis of the evolution of transport networks in the northeast of the Iberian Peninsula is included in this article. This more detailed and geographically restricted study allows us to visualize in a different way the evolution and impact of changes in transport networks. This article focuses on the calculation of the connectivity to analyze the intermodal transport systems. The use of network science analyses to study historical roads has resulted in a great tool to visualize and understand the connectivity of the territories of each studied period and compare the evolution, changes, and continuities of the transport network.

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