基于共享内存模型的安全约束经济调度并行ABC

C. Columbus, S. P. Simon
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引用次数: 23

摘要

针对电力市场,提出了一种基于并行人工蜂群算法的发电机组安全约束经济电力调度方法。所提出的非线性优化问题同时考虑了与计划交易偏差的最小化和发电机燃料成本的最小化。该问题被表述为一个约束优化问题,以确保系统的安全经济运行。考虑电压和线流约束的经济负荷调度显著减轻了对优化目标函数的假设。该方法已分别在IEEE 14总线和IEEE 30总线两个具有代表性的系统上进行了测试。这里,在共享内存模型中的PABC算法中使用了基于消息传递接口的技术。深入分析了集群中处理器数量对时间复杂度和求解质量的影响。
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A parallel ABC for security constrained economic dispatch using shared memory model
This paper proposes security constrained economic power dispatch (SCED) of the generators using parallel artificial bee colony (PABC) algorithm for electricity markets. The proposed non-linear optimization problem considers simultaneous minimization of deviations from scheduled transactions and minimization of fuel cost of the generators. The problem is formulated as a constrained optimization problem in a way that insures a secure-economic system operation. Incorporation of economic load dispatch (ELD) with voltages and lineflow constraints significantly relieves the assumptions imposed on the optimized objective function. The proposed approach has been tested on two representative systems, i.e. IEEE 14 bus and IEEE 30 bus systems respectively. Here, the message passing interface based technique is used in the PABC algorithm in a shared memory model. The time complexity and the solution quality with respect to the number of processors in a cluster are thoroughly analyzed.
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