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Dynamic optimal power flow of combined heat and power system with Valve-point effect using Krill Herd algorithm

机译:基于Krill Herd算法的带阀点效应的热电联产系统动态最优潮流

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Combined heat and power (CHP) plant generates electrical power as well as heat energy in a single process yielding more than 80% overall efficiency and reduces emission level significantly. The production of power and heat in CHP unit is mutually dependent on each other and is constrained by the feasible operating region. This paper presents a maiden formulation as well as a method for solution of the dynamic optimal load flow problem in power system involving CHP. A bio-inspired Krill Herd Algorithm has been utilized for minimization of cost of production, while maintaining voltage level at all buses and satisfying all other constraints. Herding behavior of Krill individuals is the basis on which this algorithm works. The distance of each Krill individual from food and the highest density of swarm are considered as the fitness function. Two test systems, one with 6 generators and the other with 19 generators have been considered to verify the effectiveness of this algorithm. Both the systems include a number of CHP units and have been adapted from IEEE standard Test Systems. The test results are encouraging. (C) 2017 Elsevier Ltd. All rights reserved.
机译:热电联产(CHP)装置在单个过程中产生电力和热能,可产生超过80%的整体效率,并显着降低排放水平。 CHP单元中的功率和热量产生相互依赖,并受到可行的操作区域的限制。本文提出了一个首创公式以及一种解决热电联产电力系统动态最优潮流问题的方法。利用生物启发性的磷虾牧群算法来最大程度地降低生产成本,同时保持所有母线的电压水平并满足所有其他约束条件。磷虾个体的放牧行为是该算法工作的基础。每个磷虾个体与食物的距离和最高的蜂群密度都被认为是适应度函数。为了验证该算法的有效性,已经考虑了两个测试系统,一个带有6个发电机,另一个带有19个发电机。这两个系统都包括许多CHP单元,并已从IEEE标准测试系统改编。测试结果令人鼓舞。 (C)2017 Elsevier Ltd.保留所有权利。

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