Study on the Economic Evaluation Model of Wind, Solar and Energy Storage Combined Power Generation Unit
This paper studied and implemented a set of economic operation evaluation system of wind, solar and energy storage combined power generation unit. Firstly, according to the meteorological conditions, the unit output model was set up. Under the established coordinated operation strategy, wind, solar...
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Published in | 2017 International Conference on Network and Information Systems for Computers (ICNISC) pp. 199 - 204 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.04.2017
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Subjects | |
Online Access | Get full text |
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Summary: | This paper studied and implemented a set of economic operation evaluation system of wind, solar and energy storage combined power generation unit. Firstly, according to the meteorological conditions, the unit output model was set up. Under the established coordinated operation strategy, wind, solar and energy storage combined power generation system was taken into grid as power generation unit with rated capacity. Then, starting from aspects of technical and economic benefit, financial benefit and social benefit, it constructed a comprehensive economic benefit index system. A comprehensive evaluation model was established by combining the subjective and objective value assignment method. Finally, through the development of the evaluation system, it completed the output simulation run on the power generation unit, in addition, it conducted visual analysis and display on evaluation results of different capacity matching schemes. The results showed that the research and development of the system could combine the performance characteristics of wind, solar and energy storage combined power generation technology to form the economic operation evaluation model of the power generation unit which conformed to the scale-up grid entrance, through the scientific process, it could form the evaluation result and then display this in a variety of chart forms to provide decision support for researchers. |
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DOI: | 10.1109/ICNISC.2017.00050 |