Non‐convex dynamic dispatch of generators with prohibited operating zones
Non‐convex dynamic dispatch of generators with prohibited operating zones
复制标题
DOI：
10.1002/oca.873
复制
发表时间：
2009
影响因子：
1.8
通讯作者：
Xiaohui Yuan;Anjun Su;Yanbin Yuan;Hao Nie;Liang Wang
中科院分区：
文献类型：
--
作者：
Xiaohui Yuan;Anjun Su;Yanbin Yuan;Hao Nie;Liang Wang
动态经济负荷调度问题是一个复杂的非线性约束优化问题，在电力系统运行中起着重要的作用。当考虑机组阀点效应和禁止操作区时，它具有非光滑、非凸性。将具有禁区的机组的运行区域分解为孤立的可行子区域，使得DELD问题具有多个决策空间。提出了一种改进的粒子群优化算法(EPSO)来解决具有阀点效应和禁止操作区的机组的DELD问题。在该EPSO方法中，设计了基于可行性的规则和基于概率的优先列表的启发式搜索策略，以有效地处理复杂的约束。此外，还研究了三个关键参数对求解DELD问题的EPSO算法性能的影响。通过三个算例验证了该方法的可行性和有效性，并将试验结果与文献报道的其他方法进行了比较。结果表明，该方法能够得到较高质量的解。版权所有©2008 John Wiley&Sons，Ltd.
Dynamic economic load dispatch (DELD), which plays an important role in power systems operation, is cast as a complex non‐linear constrained optimization problem. It has non‐smooth and non‐convex characteristic when generation unit valve‐point effects and prohibited operating zones are taken into account. The operating region of the units having prohibited zones is broken into isolated feasible sub‐regions, which results in multiple decision spaces for the DELD problem. This paper proposes an enhanced particle swarm optimization (EPSO) method to solve the DELD problem of units with valve‐point effects and prohibited operating zones. In the proposed EPSO method, feasibility‐based rules and heuristic search strategies with priority list based on probability are devised to handle complex constraints effectively. Furthermore, the effects of three crucial parameters on the performance of the EPSO for DELD problem are studied as well. The feasibility and effectiveness of the proposed method are demonstrated for three examples and the test results are compared with those of other methods reported in the literature. It is shown that the proposed method is capable of yielding higher‐quality solutions. Copyright © 2008 John Wiley & Sons, Ltd.