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Reserve constrained dynamic economic dispatch in multi-area power systems: An improved fireworks algorithm

机译:多区电力系统中的储备约束动态经济派遣:改进的烟花算法

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摘要

The multi-area economic dispatch (MAED) plays a major role in an interconnected power system to determine the generation dispatch strategy and satisfy the load demands as well as the technical constraints. Tie-line capacity between different areas, upper/lower generation limits, generator ramp rates, transmission losses, valve point effect, disjoint prohibited zones as well as spinning reserve are considered as the MAED problem constraints. Due to hourly load variations, the MAED problem should be solved dynamically to coincide the realistic conditions which build up the multi-area dynamic economic dispatch (MADED) problem. Considering these constraints besides the intertemporal constraints which depends to the optimal conditions of each hour with respect to other time steps may increase the problem complexity. In this regard, an improved version of fireworks algorithm which is equipped with two effective cross-generation mutation strategies is deployed to handle the non-linear, non-smooth, non-convex, multi-dimensional and multi-constraints MADED problem. Furthermore, a new constraint handling scheme is developed to correct the potential solutions in feasible search space. Finally, two small and large systems are used to investigate the capability of the developed algorithm in finding the global or near-global optima.
机译:多区经济调度(MAED)在互连的电力系统中起主要作用,以确定发电派遣策略并满足负载需求以及技术限制。不同区域之间的扎线容量,上/下一代限制,发电机斜率,传输损耗,阀点效应,不相交的禁止区域以及纺纱储备被认为是MAED问题约束。由于每小时负载变化,马德问题应动态解决,以重合建立多区动态经济调度(MADED)问题的现实条件。考虑到这些约束除了依赖于相对于其他时间步骤的每个小时的最佳条件的跨期约束,可能会增加问题复杂性。在这方面,部署了配备有两个有效的逐级突变策略的烟花算法的改进版本,以处理非线性,非平滑,非凸,多维和多约束疯狂问题。此外,开发了一种新的约束处理方案以校正可行搜索空间中的潜在解决方案。最后,使用两个小型和大型系统来研究发达算法在找到全局或近全球最优的能力。

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