电力系统动态环境经济调度模型研究
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左丽霞(1982—),女,讲师,硕士,研究方向为电力系统智能优化算法。

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TM73

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江西省教育厅科学技术研究项目(GJJ160526,GJJ160525);江西省自然科学基金项目(20171BAB202001);华东交通大学科研基金资助项目(15DQ05)


Research on Dynamic Economic Emission Dispatch Model of Power System
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    摘要:

    电力系统动态环境经济调度在节能减排中具有举足轻重的地位,以经济成本和环境成本最小为优化目标建立模型,其经济成本计及了常规火电机组阀点效应引起的能耗成本。 在等式约束条件中考虑了网损,采用解方程的方法来处理模型中复杂的约束关系。 针对微分进化算法多样性低导致的早熟问题,采用改进型微分进化算法求解模型,并在保证原有计算精度的前提下,利用 Matlab 并行计算的能力增强微分进化算法,提高算法的计算效率。经典 10 机组系统算例仿真结果表明,与传统微分进化算法相比,改进后的微分进化算法不仅具有更佳的全局搜索能力,还可以为决策者提供更快、更优的选择。

    Abstract:

    Dynamic economic emission dispatch of power system plays an important role in energy saving and e- mission reduction. In this study, the model is established by taking economic cost and environmental cost mini- mum as the optimization objectives. The energy cost caused by the valve point effect of the conventional thermal power unit is included in the economic cost. The network loss is considered in the equality constraint, and the solution equation is used to deal with the complex constraint relation in this model. In view of the premature di- versity caused by the low diversity of differential evolution algorithm, the modified differential evolution algo- rithm is adopted to solve the model. Under the premise of ensuring the accuracy of the original calculation, the ability of Matlab parallel computing is used to enhance the differential evolution algorithm and improve the com- putational efficiency of the algorithm. The simulative results of the classical 10-unit test system show that com- pared with the traditional differential evolution algorithm, the parallel modified differential evolution algorithm not only has better global search ability, but also can provide a faster and better choice for decision-makers.

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引用本文

左丽霞,余愿,孙惠娟.电力系统动态环境经济调度模型研究[J].华东交通大学学报,2018,35(3):134-142.
Zuo Lixia, Yu Yuan, Sun Huijuan. Research on Dynamic Economic Emission Dispatch Model of Power System[J]. JOURNAL OF EAST CHINA JIAOTONG UNIVERSTTY,2018,35(3):134-142

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  • 在线发布日期: 2021-05-25
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