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Application of bio-inspired social spider algorithm in multi-area economic emission dispatch of solar, wind and CHP-based power system

机译:生物启发社会蜘蛛算法在太阳能,风电和基于CHP电力系统多区经济排放派遣中的应用

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摘要

Concept of multi-area interconnection of power systems integrating nonlinear combined heat and power generators, wind, solar and conventional units, constrained by valve point effect, has been explored for the first time to ensure enhanced reliability. Bio-inspired social spider algorithm is used to simultaneously optimize cost of energy generation and emission of such system. Position of a spider on the web (search space) is the initial solution. Distance of a spider from food location is considered as its fitness. The spider is guided towards the food location by the target vibration through a random walk taken by putting a random dimension mask. Exploration of the search space by the algorithm is effectively controlled by tuning its three control parameters: attenuation rate control parameter (r(a)), probability of spider to change mask (p(c)) and probability of changing each bit of the mask vector (p(m)), if mask change is accomplished. Five test systems with different situations have been designed and tested considering three interconnected areas, and the objective of minimization of cost of production; transmission loss; and emission has been achieved reliably.
机译:通过阀点效应约束的非线性综合发电机,风,太阳能和常规单元的电力系统多区域互连的概念,首次探讨了受到阀门效应的约束,以确保增强的可靠性。生物启发的社交蜘蛛算法用于同时优化能量产生和这种系统的排放成本。蜘蛛在网上的位置(搜索空间)是初始解决方案。蜘蛛来自食物的距离被认为是其健身。通过施加随机尺寸掩模,通过目标振动引导蜘蛛通过目标振动引导到食物位置。通过调整其三个控制参数:衰减率控制参数(R(a)),改变掩模的概率(p(c))和更改掩码的每位的概率,有效地控制搜索空间的探索向量(P(m)),如果完成掩模变化。考虑到三个互连区域,设计和测试了五种具有不同情况的测试系统,以及最小化生产成本的目标;传输损耗;并且已经可靠地实现了排放。

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