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考虑阀点效应的电力系统经济分配算法 被引量:2

New method for economic dispatch of power systems with valve-point effects
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摘要 经济分配(ED)对于电力系统的节能至关重要,适当的分配方法可以为电厂节约巨额生产成本,然而阀点效应使得实际ED问题呈现出不光滑和非凸的特性,导致一些经典的优化算法和启发式算法无法在合理时间内发现最优解。提出一种新的改进教与学优化算法来求解计及阀点效应的经济分配问题,并采用一种新的修正策略取代罚函数法来处理约束条件。为了验证新算法的有效性和鲁棒性,选取典型的benchmark函数和ED实例进行仿真计算,结果表明与其他代表性算法相比,该方法求解精度高、收敛速度快,为计及阀点效应的经济分配问题求解提供了一条新途径。 Economic Dispatch(ED)plays an important role in energy saving of power systems because a proper sched-ule of load may save power plants amounts of production cost per year. However, valve loading effects change it into a non-smooth and non-convex optimization problem which challenges the traditional optimization techniques in finding the optimal solution in reasonable time. This paper proposes a new modified Teaching-Learning-Based Optimization algo-rithm(CTLBO)to solve the economic dispatch considering valve-point effect. In the solution of the ED by the proposed algorithm, a new repair procedure is also adopted instead of penalty function to address the constraints. The proposed CTLBO is examined on some benchmark functions and a typical case to illustrate its effectiveness and robustness. The results of experiment study are compared with some of the most recently published ED solution techniques. The compari-son shows that the proposed method has better accuracy and converge rate and provides a new way to solve ED problem with valve-point effects.
出处 《计算机工程与应用》 CSCD 北大核心 2015年第20期227-233,共7页 Computer Engineering and Applications
基金 国家重点基础研究发展计划项目(973)(No.2011CB706804) 教育部中央高校基本科研业务费专项(No.CZY12002)
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参考文献18

  • 1张运生,周松明.火电厂负荷分配系统[J].中国科技投资,2014(A15):172-172. 被引量:1
  • 2El-Keib A A,Ma H,Hart J L.Environmentally constrained economic dispatch using the Lagrangian relaxation method[J].IEEE Transactions on Power Systems,1994,9(4):1723-1729.
  • 3Chen C L,Wang S C.Branch-and-bound scheduling for thermal generating units[J].IEEE Transactions on Energy Conversion,1993,8(2):184-189.
  • 4周任军,李绍金,李红英,康信文,刘乐平,周胜瑜.空间粒子群优化算法及其在电力系统环保经济负荷分配中的应用[J].电力自动化设备,2014,34(9):7-12. 被引量:14
  • 5Pothiya S,Ngamroo I,Kongprawechnon W.Application of multiple tabu search algorithm to solve dynamic economic dispatch considering generator constraints[J].Energy Conversion and Management,2008,49(4):506-516.
  • 6顾慧,郭振宇,刘伟,司风琪,徐治皋.基于禁忌粒子群算法的热电联产负荷经济分配[J].东南大学学报(自然科学版),2013,43(1):83-87. 被引量:9
  • 7李绍金,周任军,周胜瑜,康信文,刘乐平,王蛟.电力系统环保经济负荷分配的模糊自修正粒子群算法[J].电力系统保护与控制,2014,42(8):15-21. 被引量:10
  • 8Rao R V,Savsani V J,Vakharia D P.Teaching-learningbased optimization:an optimization method for continuous non-linear large scale problems[J].Information Sciences,2012,183(1):1-15.
  • 9Alatas B.Chaotic bee colony algorithms for global numerical optimization[J].Expert Systems with Applications,2010,37(8):5682-5687.
  • 10Chuang L Y,Tsai S W,Yang C H.Chaotic catfish particle swarm optimization for solving global numerical optimization problems[J].Applied Mathematics and Computation,2011,217(16):6900-6916.

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