scholarly journals Composed Index for the Evaluation of the Energy Security of Power Systems: Application to the Case of Argentina

Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 3998
Author(s):  
Sergio Fuentes ◽  
Roberto Villafafila-Robles ◽  
Eduardo Lerner
Keyword(s):  
Power Systems ◽  
Power System ◽  
Fossil Fuel ◽  
Energy Systems ◽  
Electrical Energy ◽  
Multidimensional Index ◽  
Policy Makers ◽  
Sustainable Systems ◽  
Security Index ◽  
Evaluation Of Policies

Energy transitions’ trend towards sustainable systems has prompted energy systems to shift from being fossil-fuel-based to rely on renewable energy. These transitions have led the power system to occupy the center of modern infrastructures, so assuring its security has become a priority for policy makers. This work presents a tool based on a multidimensional index, the Power System Security Index (PSIx), for the evaluation of policies affecting the security of the supply of electrical energy. The developed frame is applied to the current power system of Argentina, and it is compared to the system in year 2002. Availability of resources and infrastructure are the strengths of the country, while economic, governability, and research, development and innovation spheres leave room for improvement. The further incorporation of more economies to the study would substantially enrich the statistical analysis of the results.

scholarly journals Exploiting Deep Learning for Wind Power Forecasting Based on Big Data Analytics

2019 ◽  
Vol 9 (20) ◽  
pp. 4417 ◽  
Author(s):  
Sana Mujeeb ◽  
Turki Ali Alghamdi ◽  
Sameeh Ullah ◽  
Aisha Fatima ◽  
Nadeem Javaid ◽  
...  
Keyword(s):  
Big Data ◽  
Deep Learning ◽  
Power Systems ◽  
Prediction Model ◽  
Wind Power ◽  
Fossil Fuel ◽  
Energy Systems ◽  
Accurate Estimation ◽  
Wind Power Forecasting ◽  
Power Forecasting

Recently, power systems are facing the challenges of growing power demand, depleting fossil fuel and aggravating environmental pollution (caused by carbon emission from fossil fuel based power generation). The incorporation of alternative low carbon energy generation, i.e., Renewable Energy Sources (RESs), becomes crucial for energy systems. Effective Demand Side Management (DSM) and RES incorporation enable power systems to maintain demand, supply balance and optimize energy in an environmentally friendly manner. The wind power is a popular energy source because of its environmental and economical benefits. However, the uncertainty of wind power makes its incorporation in energy systems really difficult. To mitigate the risk of demand-supply imbalance, an accurate estimation of wind power is essential. Recognizing this challenging task, an efficient deep learning based prediction model is proposed for wind power forecasting. The proposed model has two stages. In the first stage, Wavelet Packet Transform (WPT) is used to decompose the past wind power signals. Other than decomposed signals and lagged wind power, multiple exogenous inputs (such as, calendar variable and Numerical Weather Prediction (NWP)) are also used as input to forecast wind power. In the second stage, a new prediction model, Efficient Deep Convolution Neural Network (EDCNN), is employed to forecast wind power. A DSM scheme is formulated based on forecasted wind power, day-ahead demand and price. The proposed forecasting model’s performance was evaluated on big data of Maine wind farm ISO NE, USA.

Complex Energy Systems Exploiting Solar Energy and Natural Gas Vaporization

2002 ◽  
Author(s):  
Giacomo Bisio ◽  
Alessandro Bosio ◽  
Marco Cartesegna ◽  
Giuseppe Rubatto
Keyword(s):  
Natural Gas ◽  
Solar Energy ◽  
Fossil Fuel ◽  
Energy Systems ◽  
Electrical Energy ◽  
Thermal Source ◽  
End User ◽  
Gas Source ◽  
Considerable Impact ◽  
Liquid Natural Gas

The fossil fuel reserves are limited. In addition, usable energy supply has a considerable impact on the environment, even if some effects, which are usually alleged, are far from being fully established. Natural gas is often found in remote locations far from developed industrial nations. Where possible, the gas is transported by pipeline to the end user. However, where oceans separate the gas source and the user, or there are other difficulties, the only viable way to transport the gas is to convert it into liquid natural gas (LNG) and to convey it using insulated LNG tankers. This paper outlines the results of an examination of a complex system, employing solar energy, for the production of electrical energy and the vaporization and superheating of LNG. It is to be remarked that, differently from the usual combined systems, both the thermal source and the thermal sink are exergy sources.

A Novel Fused Converter for Hybrid Power Systems

2014 ◽  
Vol 984-985 ◽  
pp. 744-749
Author(s):  
W. Margaret Amutha ◽  
Renugadevi ◽  
V. Rajini
Keyword(s):  
Wind Speed ◽  
Power Systems ◽  
Power System ◽  
Rural Areas ◽  
Power Flow ◽  
Electrical Energy ◽  
Hybrid Power System ◽  
Hybrid Power ◽  
Different Seasons ◽  
Continuous Power

—Hybrid power system consists of different sources of electrical energy with different operating times during different seasons. Deployment of a hybrid power system is expected in rural areas. Supplying remote load systems such as rural telephony, hospitals, military etc.., where continuous power supply is required, can be realized with the combination of wind and solar power. The proposed topology is designed for telecom load which uses dual input dc-dc fused converter for combining solar and wind energy sources. For the further research and improvements in the proposed fused converter topology, it is necessary to know in detail the power flow from solar and wind sources to the load or to storage battery depending on different seasons. For various wind speed with constant solar irirradiation and, for various solar irirradiations with constant wind speed, the power flow of the hybrid power system is simulated and presented. The same topology is investigated for different switching frequencies (10 kHz and 20 kHz), using MATLAB/SIMULINK, and the efficiencies are calculated.

scholarly journals Assessment of the Impacts of Climate Change on Power Systems: The Italian Case Study

2021 ◽  
Vol 11 (24) ◽  
pp. 11821
Author(s):  
Giuseppe Marco Tina ◽  
Claudio F. Nicolosi
Keyword(s):  
Climate Change ◽  
Power Systems ◽  
Power System ◽  
Electrical Energy ◽  
Meteorological Variables ◽  
System Transformation ◽  
Change Models ◽  
Italian Case ◽  
Wide Range ◽  
The Impact

Climate change due to the greenhouse effect will affect meteorological variables, which in turn will affect the demand for electrical energy and its generation in coming years. These impacts will become increasingly important in accordance with the increasing penetration of renewable, non-programmable energy sources (e.g., wind and solar). Specifically, the speed and amplitude of power system transformation will be different from one country to another according to many endogenous and exogenous factors. Based on a literature review, this paper focuses on the impact of climate change on the current, and future, Italian power system. The paper shows a wide range of results, due not just to the adopted climate change models used, but also to the models used to assess the impact of meteorological variables on electricity generation and demand. Analyzing and interpreting the reasons for such differences in the model results is crucial to perform more detailed numerical analyses on the adequacy and reliability of power systems. Concerning Italian future scenarios, the double impact of uncertainties in national policies and changes in power plant productivity and demand, has been considered and addressed.

scholarly journals Online Static Security Assessment of Power Systems Based on Lasso Algorithm

2018 ◽  
Vol 8 (9) ◽  
pp. 1442 ◽  
Author(s):  
Yahui Li ◽  
Yang Li ◽  
Yuanyuan Sun
Keyword(s):  
Power Systems ◽  
Power System ◽  
Predictive Performance ◽  
Load Flow ◽  
Adaptive Lasso ◽  
Security Assessment ◽  
Lasso Regression ◽  
Static Security ◽  
Security Index ◽  
Selection Operator

As one important means of ensuring secure operation in a power system, the contingency selection and ranking methods need to be more rapid and accurate. A novel method-based least absolute shrinkage and selection operator (Lasso) algorithm is proposed in this paper to apply to online static security assessment (OSSA). The assessment is based on a security index, which is applied to select and screen contingencies. Firstly, the multi-step adaptive Lasso (MSA-Lasso) regression algorithm is introduced based on the regression algorithm, whose predictive performance has an advantage. Then, an OSSA module is proposed to evaluate and select contingencies in different load conditions. In addition, the Lasso algorithm is employed to predict the security index of each power system operation state with the consideration of bus voltages and power flows, according to Newton–Raphson load flow (NRLF) analysis in post-contingency states. Finally, the numerical results of applying the proposed approach to the IEEE 14-bus, 118-bus, and 300-bus test systems demonstrate the accuracy and rapidity of OSSA.

scholarly journals Adequacy Assessment of Integrated Nepal Power System

2018 ◽  
Vol 1 (2) ◽  
pp. 13-22
Author(s):  
Bharat Chetry ◽  
Navaraj Raj Karki
Keyword(s):  
Power Systems ◽  
Power System ◽  
Electrical Power ◽  
Electric Energy ◽  
Electrical Energy ◽  
Present Condition ◽  
Reliability Indices ◽  
Adequacy Assessment ◽  
Reliable Power Supply ◽  
Matlab Programming

Modern electrical power systems have the responsibility of providing a reliable and economic supply of electrical energy to their customers. The economic and social effects of loss of electric service can have significant impacts on both the utility supplying electric energy and the end users of the service. Maintaining a reliable power supply is a very important issue in power system design and operation .The developing country including Nepal more often does not follow the modern planning criteria for system planning due to which we have to face problems like load shedding. This work is an exercise to detail reliability analysis of INPS using different reliability indices. The INPS has been divided into three regions and the reliability indices are found separately for each region. The two reliability indices LOLE and EENS are found to check the adequacy of generation. The load data and generation data used are all real from the only one utility of Nepal, NEA. The calculations are done according to the theory of reliability of power system on MATLAB programming. The results obtained in this work are quite satisfactory and represents the present condition of INPS.

scholarly journals State description of cyber-physical energy systems

2020 ◽  
Vol 3 (S1) ◽  
Author(s):  
Marcel Klaes ◽  
Anand Narayan ◽  
Amit Dilip Patil ◽  
Jonas Haack ◽  
Martin Lindner ◽  
...  
Keyword(s):  
Power Systems ◽  
Power System ◽  
Case Studies ◽  
Energy Systems ◽  
System State ◽  
Grid Services ◽  
State Classification ◽  
Physical Energy ◽  
Ict System ◽  
The Impact

Abstract The integration of ICT into power systems has increased the interdependencies between the two systems. The operation of power system depends on several ICT-enabled grid services which manifest the interdependencies. ENTSO-E system state classification is a tool that is widely used by operators to determine the current operational state of the power system. However, it does not adequately describe the impact of ICT disturbances on the operation of the power system. Despite their interconnections, the operational states of both systems have been described separately so far. This paper bridges the well-established ENTSO-E systems state classification with an ICT system state classification, forming a new model considering the state classification of the ICT-enabled grid services. The model is developed by first identifying the ICT-enabled services, remedial actions and the respective performance requirements that are required by the power system. Then the states of these services are specified based on the supporting ICT system. The resulting joint state description shows how performance degradation of ICT-enabled services (introduced by disturbances) can affect the operation of the interconnected power system. Two case studies of such ICT-enabled services, namely state estimation and on-load tap changer control, are investigated in terms of how their operational states affect the states of the power system. A third case study highlights the interdependencies that exist between the services. These case studies demonstrate the interdependencies that exist between power and ICT systems in modern cyber-physical energy systems, thus highlighting the usage of a unified system state description.

Preventing Large-Scale Emergencies in Modern Power Systems: AI Approach

2014 ◽  
Vol 18 (5) ◽  
pp. 714-727 ◽  
Author(s):  
Michael Negnevitsky ◽  
◽  
Nikita V. Tomin ◽  
Christian Rehtanz ◽  
◽  
...  
Keyword(s):  
Power Systems ◽  
Power System ◽  
Intelligent Systems ◽  
Large Scale ◽  
Energy Systems ◽  
Critical Conditions ◽  
Major Power ◽  
System Operator ◽  
Major Emergencies ◽  
The University

In recent years, due to liberalization, power systems are being operated closer and closer to their limits. At the same time, they have increased in size and complexity. Both factors increase the risk of major power outages and blackouts. In emergency and abnormal conditions, a power system operator has to deal with large amounts of data. However, due to emotional and psychological stress, an operatormay not be able to respond to critical conditions adequately and make correct decisions promptly. Mistakes can damage very expensive power system equipment or worse lead to major emergencies and catastrophic situations. Intelligent systems can play an important role by alarming the operator and suggesting the necessary actions to be taken to deal with a given emergency. This paper outlines some experience obtained at the University of Tasmania, Australia, Energy Systems Institute, Russia and TU-Dortmund University, Germany in developing intelligent systems for preventing large-scale emergencies and blackouts in modern power systems.

scholarly journals Renewables Expansion in Northeast Asian Power Grid

2020 ◽  
Vol 209 ◽  
pp. 04003
Author(s):  
Sergei Podkovalnikov ◽  
Lyudmila Chudinova
Keyword(s):  
Power Systems ◽  
Power System ◽  
Co2 Emission ◽  
Fossil Fuel ◽  
Northeast Asia ◽  
Economic Incentive ◽  
Emission Tax ◽  
The World ◽  
System Interconnection ◽  
Northeast Asian

The paper considers effectiveness of a penetration of renewables into potential Northeast Asia power system interconnection. Renewables are currently in the mainstream of expansion of energy sector in the world and in Northeast Asia, particularly. Formation of NEA power interconnection will increase utilization of variable and poorly predictable renewable generation. Economic incentive for penetration of renewables, like CO2 emission tax, is studied. The study revealed that quite significant tax is needed to be imposed to induce non-fossil fuel generation capacities, including renewable ones, to be added to power systems.

scholarly journals Prospects of Storage and Pumped-Storage Hydropower for Enhancing Integrated Nepal Power Systems

2014 ◽  
Vol 15 ◽  
pp. 37-41 ◽  
Author(s):  
Neeraj Kumar Sah ◽  
Madhab Uprety ◽  
Sangharsha Bhandari ◽  
Prativa Kharel ◽  
Saurav Suman ◽  
...  
Keyword(s):  
Power Systems ◽  
Power System ◽  
Power Plants ◽  
Peak Load ◽  
Electrical Energy ◽  
Hydropower Plant ◽  
Hydropower Plants ◽  
Pumped Storage ◽  
Electrical Demand ◽  
Installed Capacity

An Integrated Power System (IPS) should have electrical energy generating plants for base load (e.g., nuclear and thermal plants) and peak load (e.g., hydropower plants) so that they can work in coordination in such a way that the demand is met in time. In Nepal, the Integrated Nepal Power System (INPS) is a hydro-dominated system where the base and intermediate power demands are covered primarily by run-of-river hydropower plants and the peak demand by seasonal storage and several diesel power plants of lower capacity. The INPS should have sufficient natural storage and forced storage power plants to improve the system’s reliability. On top of that, daily peak electrical demand could also be adequately covered by demand-side management, using a pumped-storage hydropower plant that can employ a system’s surplus energy during low demand period for pumping. To rectify this extreme imbalance of installed capacity in Nepal, this paper explores the prospect of storage and pumped-storage power plants for enhancing INPS. A case study of Rupa-Begnas pumped-storage hydropower is highlighted for these purposes.DOI: http://dx.doi.org/10.3126/hn.v15i0.11290HYDRO Nepal JournalJournal of Water, Energy and EnvironmentVolume: 15, 2014, JulyPage: 37-41 

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