| 基于粒子群算法的含风电场电网规划优化研究 |
| |
| 引用本文： | 肖建华,卢道远,李春亮,邢林华,孟安波,胡廷鹤.基于粒子群算法的含风电场电网规划优化研究[J].广东电力,2012,25(10):33-37. |
| |
| 作者姓名： | 肖建华 卢道远 李春亮 邢林华 孟安波 胡廷鹤 |
| |
| 作者单位： | 1. 广东电网公司揭阳供电局,广东揭阳,522000
2. 广东工业大学,广东广州,510006 |
| |
| 基金项目： | 广东省自然科学基金资助项目（10151009001000045）广东省电网公司科技项目（K-GD2012-450） |
| |
| 摘 要： | 风电的不确定性以及负荷的随机变化性增加了电网规划难度。为此,针对系统运行、可靠性等约束条件,把罚函数转换为无约束目标函数,建立基于粒子群算法的含风电场电源规划多控制变量问题优化模型,并提出和分析优化规划的详细步骤。最后,采用IEEE30标准节点系统进行仿真优化,仿真优化结果验证了该模型的有效性、可行性,效果显著。
|
| 关 键 词： | 风力发电 电力系统 电网规划 粒子群算法 |
Power Grid Containing Wind Power Station Planning Optimization Research Based on Particle Swarm Algorithm |
| |
| XIAO Jianhua
,
LU Daoyuan
,
LI Chunliang
,
XING Linhua
,
MENG Anbo
,
HU Tinghe.Power Grid Containing Wind Power Station Planning Optimization Research Based on Particle Swarm Algorithm[J].Guangdong Electric Power,2012,25(10):33-37. |
| |
| Authors: | XIAO Jianhua LU Daoyuan LI Chunliang XING Linhua MENG Anbo HU Tinghe |
| |
| Affiliation: | 1. Jieyang Power Supply Bureau of Guangdong Power Grid, Jieyang, Guangdong 522000, China; 2. Guangdong Univer- sity of Technology, Guangzhou, Guangdong 510006, China) |
| |
| Abstract: | Uncertainty of wind power and random variation of load increase difficulties in power grid planning, to solve this,it aims at system operation and reliability to transform penalty function into unconstrained objective function, establish multi-control variable optimization model for power planning containing wind power station based on particle swarm algo- rithm , put forward and analyze detailed steps of optimization planning. At last, it takes IEEE 30 standard node system to carry out simulating and optimization. The result verifies that this model is effective and feasible. |
| |
| Keywords: | wind power generation power system power grid planning particle swarm algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
