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Quasi-oppositional chemical reaction optimization for combined economic emission dispatch in power system considering wind power uncertainties

机译：考虑风电不确定性的电力系统联合经济排放调度的准对立化学反应优化

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摘要

In this article, chemical reaction optimization (CRO) is proposed to solve wind-based combined economic emission dispatch problem (WCEED) in order to minimize thermal-wind electrical energy cost and emissions formed by fossil-fuelled power plants, concurrently. Moreover, to improve the solution superiority and convergence speed quasi-opposition based learning (QOBL) is included with basic CRO algorithm. The proposed CRO and QOCRO approaches are implemented to discover the optimal generation of wind and thermal generators in order to minimize the individual objective of fuel cost, emission and compromising solutions is also evaluated. Wind power generation is modelled by the piecewise linear approximation method. Due to uncertainty in nature, cost of wind is sweeping by counting underestimation and overestimation cost of existing wind power. The performance of CRO and QOCRO is evaluated through three test systems and the simulation results, as well as statistical results obtained by these methods along with different other algorithms available in the literature, are presented to demonstrate the validity and effectiveness of the proposed CRO and QOCRO schemes for practical applications. Moreover, a non-dominated sorting CRO and QOCRO are employed to approximate the set of Pareto solution through the evolutionary optimization process.
机译：在本文中，提出了化学反应优化（CRO）来解决基于风的联合经济排放调度问题（WCEED），以最大程度地降低热风电能成本和化石燃料发电厂形成的排放。此外，为了提高解决方案的优越性，并且在基本CRO算法中包含了基于准相对论的学习（QOBL），加快了收敛速度。实施建议的CRO和QOCRO方法是为了发现风力发电机和热发电机的最佳发电方式，以最大程度地降低燃料成本的个人目标，同时还评估了排放和妥协解决方案。风力发电通过分段线性逼近法建模。由于自然界的不确定性，通过计算现有风力发电的低估和高估成本，风能成本正在迅速增加。通过三个测试系统对CRO和QOCRO的性能进行了评估，并给出了仿真结果以及通过这些方法以及文献中提供的其他其他算法获得的统计结果，以证明所提出的CRO和QOCRO的有效性和有效性。实际应用方案。此外，通过进化优化过程，采用非支配排序CRO和QOCRO来近似一组Pareto解。

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  • 来源
    《Refocus》 |2019年第12期|45-62|共18页
  • 作者

    Sunanda Hazra; Provas Kumar Roy;

  • 作者单位

    Department of Electrical Engineering Central Institute of Plastics Engineering and Technology West Bengal India;

    Department of Electrical Engineering Kalyani Government Engineering College West Bengal India;

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