用帝企鹅优化算法求解微网并网风电经济调度问题

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI:10.1109/APSIT52773.2021.9641457

Jagannath Paramguru, S. K. Barik, A. K. Sahoo, Tanmoy Parida

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引用次数: 1

摘要

化石燃料的枯竭和污染物的形成引入了微电网，实现了可再生能源对常规发电机组的替代。本文采用帝企鹅优化算法求解具有斜坡速率限制、禁止运行区域、蒸汽阀影响和传输损失的化石燃料发电机组经济调度的最优解。该技术还解决了考虑风力发电机组作为可再生能源系统的微电网优化调度问题。帝企鹅优化算法考虑帝企鹅的聚类特性来优化生成成本。在不同的测试系统中验证了该技术的有效性，并与其他应用技术进行了比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Solution to Economic Dispatch Problem Incorporating Micro Grid with Integration of Wind Energy Using Emperor Penguin Optimization Algorithm

Depletion of fossil fuel and formation of pollutants introduced the microgrid and implement the renewable energy sources to the conventional power generating units. This paper represents the implementation of emperor penguin optimization algorithm to find the optimum solution to economic dispatch of fossil fuel-based generators with ramp rate limits, prohibited operating zones, effect of steam valve and transmission losses. Also, the applied technique solves the optimum dispatch problem for microgrid considering the wind turbine as the renewable energy system. The emperor penguin optimization algorithm considers the huddling nature of emperor penguin to optimize the generation cost. The efficacy of the technique is verified for different test system with the comparison of other applied technique.

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来源期刊

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)

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