| 基于改进微分进化算法的节能减排发电调度研究 |
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| 引用本文： | 饶攀,彭春华. 基于改进微分进化算法的节能减排发电调度研究[J]. 华东交通大学学报, 2010, 27(5): 48-52,112 |
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| 作者姓名： | 饶攀 彭春华 |
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| 作者单位： | 华东交通大学,电气与电子工程学院,江西,南昌,330013;华东交通大学,电气与电子工程学院,江西,南昌,330013 |
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| 基金项目： | 江西省自然科学基金项目,江西省教育厅科技基金项目 |
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| 摘 要： | 从节能、环保效益出发,建立了电力系统节能、减排发电调度多目标优化模型。主要采用小生境思想对pareto非劣排序的拥挤度机制进行改进,并采用动态调整机制控制算法参数对传统的进化机制进行改进。以一个6发电单元的系统为例进行仿真,结果表明:对比传统NSGA-II与NSDE算法,该改进非劣微分进化算法(INSDE)能够更好地引导并保证搜索过程向最优解逼近。
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| 关 键 词： | 节能减排 非劣排序 改进微分进化算法 最优解 |
A Research on Power Dispatch of Energy-saving and Emission-reduction Generation Based on the Improved Differential Evolution Algorithm |
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| Rao Pan,Peng Chun-hua. A Research on Power Dispatch of Energy-saving and Emission-reduction Generation Based on the Improved Differential Evolution Algorithm[J]. Journal of East China Jiaotong University, 2010, 27(5): 48-52,112 |
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| Authors: | Rao Pan Peng Chun-hua |
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| Affiliation: | (School of Electrical and Electronic Engineering,East China Jiaotong University,Nanchang 330013,China) |
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| Abstract: | A multi-objective optimal model of dispatch of energy-saving and emissionreduction generation in the power system is constructed in this paper from the perspective of energy-saving,environmental protectiom.Niche strategy is applied to improve the crowing mechanism in the process of pareto non-dominated sorting operation,and the parameter of dynamic adjustment mechanism control algorithm is introduced to improve the traditional evolutionary mechanism.The improved differential evolution algorithm（INSDE） has been tested on a 6-unit system,the results demonstrate compared with the traditional NSGA-Ⅱ and NSDE algorithm,the improved INSDE can better guide and ensure the search process to approach the optimal solution. |
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| Keywords: | energy-saving and emission-reduction non-dominated sorting improved differential evolution algorithm optimal solution |
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