基于改进烟花算法的多燃料多区域动态经济调度问题

V. K. Jadoun, M. K. Shah, Vipin Chandra Pandey, N. Gupta, K. R. Niazi, A. Swarnkar
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引用次数: 3

摘要

针对多区域动态经济调度问题,提出了一种考虑多种燃料和其他实际约束的改进烟花算法(IFWA)。MADED问题的目标是在满足若干运行约束的情况下,在一定时间内预测负荷需求的情况下,确定各区域火电机组的总燃料成本最小的情况下,通过线互联区域的发电和电力交换的最优值。本文试图克服一些现有FWA方法的不足,提出了一种改进的烟花算法(IFWA)方法,提出了极限映射算子(LMO)和自适应维数选择算子(ADSO)。该方法的有效性已在三区10台发电机的测试系统上进行了验证。应用结果表明,IFWA很有希望解决MADED问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-Area Dynamic Economic Dispatch Problem with Multiple Fuels Using Improved Fireworks Algorithm
This paper presents an Improved Fireworks Algorithm (IFWA) to solve Multi Area Dynamic Economic Dispatch (MADED) problem with the consideration of multiple fuels and other practical constraints. The objective of MADED problem is to determine the optimal value of power generation and interchange of power through tielines interconnecting areas in such a way that total fuel cost of thermal generating units of all the areas is minimized with predicted load demands over a certain period of time while satisfying several operational constraints. This paper attempts to overcome the drawbacks of some existing FWA methods and presents an Improved Fireworks Algorithm (IFWA) method by suggesting Limiting Mapping Operator (LMO), and Adaptive Dimension Selection Operator (ADSO). The effectiveness of the proposed method has been tested on three areas, 10 generators test system. The application results show that IFWA is very promising to solve MADED problem. 
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