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For many years, the electric power industry treated electricity as a unique commodity sold to costumers. Nowadays, the new electricity industry has identified several key ancillary services. Under this new scenario, the producer's primary goal is the selection of services in which to participate via assessing the potential profits as part of the decision-making. Purchasing additional information can...
The ageing of power systems and their components are of great concern for the asset manager, especially in view of the coming replacement wave in the electrical infrastructure. The asset manager is in need for a prediction tool, to determine the long term effects on the statistical relevant parameters of a population of power systems components. In this paper we describe a method for forecasting the...
Up to now, to analyze and design the operational limits of transmission lines, many utilities still apply traditional deterministic approaches, which have long been recognized as excessively conservative. In this work, we propose a different overload protection scheme in order to increase the line ampacity. The main idea is to include the thermal model of overhead lines inside the protection and then...
Markov models are a well established technique widely used for modeling deterioration processes of the electric power equipment and in reliability analysis. Recently, several papers using Markov and semi-Markov models have been published addressing the issue of the calculation of the remaining life, future failure rates and the probability of failure of power equipment. This paper focuses on one such...
Multi-stage decision making, a fundamental tenet of stochastic programming, resonates well with the practice of the electricity markets. The day-ahead market, used to commit the generators, bears uncertainty in the power demand and physical conditions of the generators and transmission lines. The situation becomes less uncertain in the real-time market, where the dispatch is decided. Although traditional...
In this study, unit commitment (UC) problem is solved for an optimum schedule of generating units based on the load data forecasted by using artificial neural network (ANN) model and ANN model with autoregressive (AR). Low-cost generation is important in power system analysis. Under forecasting or over forecasting will result in the requirement of purchasing power from spot market or an unnecessary...
This paper deals with the ageing behavior of different circuit-breaker types. Furthermore, the model simplifies the condition control of pieces of equipment and provides the asset manager with information about the yearly capital and operational expenditures (CAPEX and OPEX). Capital expenditures include new installation costs in consequence of replacement and grid enlargement and operational expenditures...
This paper analyzes the generation adequacy of Mexico's National Interconnected Power System (MNIPS). The algorithm used computes loss of load expectation (LOLE) and loss of energy expectation (LOEE) indexes. These indexes are calculated through an analytical (recursive) method and are then compared with values recommended by the North American Electric Reliability Council (NERC). The period of study...
Technology of control command system (or instrumentation and control I&C equipment) has evolved dramatically during last 30 years from electromechanical relay, analog relay to digital relay. Then utilities have to maintain different type of devices. Risks linked to this fact are ageing effect on protection relays and technical life time of piece of equipment. After 20 years of use, manufacturers...
Spinning contingency reserve is idle capacity connected to the system to ensure reliable system operations in the case of equipment outages. The reserve has an economic value since it reduces the outage costs. In several electricity markets, reserve demand functions have been implemented to take into account the value of reserve in the market clearing process. These often take the form of a step-down...
This paper proposes a new estimation technique of the load duration curve (LDC) which takes into account recent modifications of the load demand in the Tunisian power system (STEG) related to the increasing of the air conditioning load. This approach is based on the estimation of the hourly peak load distribution by asymmetric generalized Gaussian distribution (AGG). Numerical results indicate that...
Fuel diversification implies the selection of a mix of generation technologies for long-term electricity generation. The goal is to strike a good balance between reduced costs and reduced risk. The method of analysis that has been advocated and adopted for such studies is the mean-variance portfolio analysis pioneered by Markowitz (1952). However the standard mean-variance methodology, does not account...
This paper introduces a method for designing a standalone photovoltaic system to improve the load point reliability, extend the operation life, and minimize the design cost. This approach examines the impacts of solar panel sizes, tilt angles and battery volumes toward load point reliability, as well as the expected system life, by using real insolation data in a given location and random load burdens...
Wind is being recognized as an encouraging and cost effective generation source both in large grid connected systems and small isolated applications. The actual benefits obtained from utilizing wind energy for electric power generation can be investigated using reliability and economic evaluation techniques. The focus of these techniques is usually directed to the areas of reliability and the investment/operation...
This paper describes a probabilistic approach for assessing the criticality of bulk transmission system components in the de-regulated electricity market. The proposed method is based on the analysis performed by the Hydro One probabilistic composite system evaluation program and use of a simplified reliability model for the transmission system network. The method accounts for random failures of system...
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