Controlling Effect of HSABC Algorithm on the Unit Commitment of Power System Operation

Arif Na, T. Hiyama
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Abstract

The total operating cost may be expressed in an Economic Power System Operation (EPSO). Technically, this fee is presented to meet total demand for load by individual generating unit costs based on the schedule of engaged energy outputs (EEO). The minimum operating cost is currently achieved by considering economic and emission dispatches, which are made up of the problem of a combined economic and emission dispatch (CEED). The latest artificial intelligent calculation, Harvest Season Artificial Bee Colony Algorithm, is used to identify EEO using the IEEE-62 bus system based on a low cost of CEED. The results of the simulation show that HSABC has short time and rapid convergences. Space areas have various impacts on the performance of HSABC Algorithm on the CEED.
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HSABC算法对电力系统运行机组承诺的控制效果
总运行成本可以用电力系统经济运行(EPSO)来表示。从技术上讲,该费用是根据参与能源输出(EEO)的时间表,通过单个发电单位成本来满足总负荷需求。目前,考虑经济和排放调度是实现运行成本最小的主要方法,这两个问题由经济和排放联合调度(CEED)问题组成。采用最新的人工智能计算——收获季节人工蜂群算法,基于低成本的eeed,利用IEEE-62总线系统识别EEO。仿真结果表明,HSABC算法收敛时间短,收敛速度快。空间区域对HSABC算法在CEED上的性能有不同的影响。
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