基于改进遗传算法的风力-柴油联合发电系统扩展规划  

Expansion Planning of Wind-diesel Energy System Based on Genetic Algorithm

作　　者：丁明[1] 吴义纯[2] 

机构地区：[1]合肥工业大学教育部光伏系统工程研究中心,安徽省合肥市230009 [2]安徽电力公司培训中心,安徽省合肥市230022

出　　处：《中国电机工程学报》2006年第8期23-27,共5页Proceedings of the CSEE

基　　金：国家重点基础研究发展计划(973计划)(2004CB217905);教育部科学技术研究重点项目(03099);教育部科学技术研究重大项目(306004)~~

摘　　要：提出基于改进遗传算法的风力-柴油联合发电系统容量扩展规划模型,在满足系统规划和运行等非线性约束条件下,寻求总成本最小的容量扩展方案。在规划总成本中除了计及机组建设的投资费用和运行费用以外,还考虑了因电力供给不足所造成的需求侧停电损失成本。在模型中采用蒙特卡罗方法计算系统的概率性发电成本,不仅考虑了风速随机性、机组随机停运、风速序列和负荷序列相关性,而且考虑了风电穿透功率极限的约束。算例表明,文中所提出的模型和算法是可行的,能对风力发电的规划设计提供一定的帮助。This paper proposes the model of the optimal expansion planning of wind-diesel energy system based on improved genetic algorithm （IGA） that the minimum total cost capacity expansion scheme is sought meeting the non-linear constraints of planning and operating. In this paper the planning objective costs take into account unserved energy costs besides investment costs and operation costs. The evaluation of probability cost and reliability in the model is performed by using Monte-Carlo method for representing the uncertainty for wind speed and loads, forced outage rate of the units, the correlation of wind speed and load series, wind generation operational constraints. The example indicates that the model and algorithm that puts forward in this paper is feasible and provides the important reference value for the planning and design of wind generation system.

关 键 词：风力-柴油联合发电系统 改进遗传算法 蒙特卡罗仿真 机组最优扩展规划 

分 类 号：TM76[电气工程—电力系统及自动化]