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Distributed resource scheduling in smart grid with electric vehicle deployment using fireworks algorithm

机译:使用烟花算法的电动汽车部署智能电网中的分布式资源调度

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Global warming and climate change are two key probing issues in the present context.The electricity sector and transportation sector are two principle entities propelling both these issues.Emissions from these two sectors can be offset by switching to greener ways of transportation through the electric vehicle (EV) and renewable energy technologies (RET).Thus,effective scheduling of both resources holds the key to sustainable practice.This paper presents a scheduling scenario-based approach in the smart grid.Problem formulation with dual objective function including both emissions and cost is developed for conventional unit commitment with EV and RET deployment.In this work,the scheduling and commitment problem is solved using the fireworks algorithm which mimics explosion of fireworks in the sky to define search space and the distance between associated sparks to evaluate global minimum.Further,binary coded fireworks algorithm is developed for the proposed scheduling problem in the smart grid.Thereafter,possible scenarios inconventional as well as smart grid are put forward.Following that,the proposed methodology is simulated using a test system with thermal generators.
机译:全球变暖和气候变化是本文中的两个关键探测问题。电力部门和运输部门是推进这些问题的两个原则实体。通过切换到通过电动汽车的绿色运输方式可以抵消这两个行业的两个原则实体。 EV)和可再生能源技术(RET).thus,两种资源的有效调度持有可持续实践的关键。本文介绍了智能网格中的基于方案的方法。具有双重目标函数的智能网格中的基于方案的方法,包括排放和成本。为常规单位承诺而与EV和RET部署开发。在此工作中,使用烟花算法来解决调度和承诺问题,这些烟花算法模仿天空中的烟花爆炸来定义搜索空间和相关火花之间的距离来评估全局最小值.Further ,二进制编码烟花算法是为SM中提出的调度问题开发的艺术网格。事后,提出了可能的场景,不响起智能电网。假设,使用具有热发电机的测试系统模拟所提出的方法。

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