Topic
Base load power plant
About: Base load power plant is a research topic. Over the lifetime, 6121 publications have been published within this topic receiving 96788 citations.
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TL;DR: In this article, the authors used a utility-scale model of the Phoenix metropolitan area to simulate the air conditioning portion of the electrical demand during a summertime heat wave, and then they used distributed thermal storage technology.
50 citations
TL;DR: The method of a deep extreme learning machine is explored to create a predictive model that can predict a combined cycle power plant’s hourly full-load electrical output and it is shown that the proposed approach has the highest accuracy rate.
Abstract: A smart city is a sustainable and effective metropolitan hub, that offers its residents high excellence of life through appropriate resource management. Energy management is among the most challenging problems in such metropolitan areas due to the difficulty and key role of energy systems. To optimize the benefit from the available megawatt-hours, it is important to predict the maximum electrical power output of a baseload power plant. This paper explores the method of a deep extreme learning machine to create a predictive model that can predict a combined cycle power plant’s hourly full-load electrical output. An intelligent energy management solution can be achieved by properly monitoring and controlling these resources through the internet of things (IoT). The universe of artificial intelligence has produced many strides through deep learning algorithms and these methods were used for data analysis. Nonetheless, for further accuracy, deep extreme learning machine (DELM) is another candidate to be investigated for analyses of the data sequence. By using the DELM approach, a high level of reliability with a minimum error rate is achieved. The approach shows better results compared to previous investigations since previous studies could not meet the findings up to the mark and unable to predict power plant electrical energy output efficiently. During the investigation, it is shown that the proposed approach has the highest accuracy rate of 98.6% with 70% of training (33488 samples), 30% of test and validation (14352 examples). Simulation results validate the prediction effectiveness of the proposed scheme.
50 citations
TL;DR: A bandpass filter with the cutoff frequency parameters optimized by a model predictive control based on a power spectral density estimate of power consumption for disturbance prediction is suggested to smooth out power fluctuations on a weak ship grid.
Abstract: This brief presents a power variation smoothing method using batteries on a weak ship grid. For some marine vessels, power fluctuations on the ac grid are large. This results in the large variations in the electrical frequency of the grid and excessive wear and tear of the power producers. Adding batteries connected to a dc/ac drive to smooth out the power fluctuations has been suggested. However, due to the large amount of fluctuation, batteries can overheat. Therefore, we suggest using a bandpass filter with the cutoff frequency parameters optimized by a model predictive control based on a power spectral density estimate of power consumption for disturbance prediction.
50 citations
TL;DR: In this article, the authors analyzed investment of firms in base load and peak load technologies in a market with fluctuating demand under imperfect competition and showed that an appropriately chosen limitation of scarcity prices is not only beneficial in the short run but also in the long run.
50 citations
19 Apr 2010
TL;DR: In this paper, the authors analyzed the characteristics of wind power resources and compared three power regulation schemes: pumped storage power station, thermal electric power plant, and the combined scheme, according to the developing level of power technology and the resources condition in that district.
Abstract: Jiuquan wind power base (JQWPB) is the first 10 GW-level pilot wind power base. Its construction brings a lot of technical problems in power system operation such as peak load regulation, frequency control and the consumption of wind power and electricity. This paper utilizes the gauged wind resources data and the recent energy management system (EMS) operating data from dispatching department, analyzes the characteristics of wind power resources, and researches the system power regulation scheme for the integrated JQWPB. Comparing three different kinds of power regulation schemes: pumped storage power station, thermal electric power plant and the combined scheme, according to the developing level of power technology and the resources condition in that district, the conclusions are: the scheme of pumped storage power station is not suitable for wind power regulation; the combined scheme has many uncertainties and the scheme of thermal power plant with proper capacity satisfies the wind power regulation. It is the unique way to solve the problem of peak load regulation, frequency control and the wind power consumption by constructing thermal power plant of certain capacity and transmitting wind power by ultra high voltage direct current (UHVDC) power transmission technology.
49 citations