首页> 外文会议>North American Power Symposium >Economic dispatch of micro-grid based on improved particle-swarm optimization algorithm
【24h】

Economic dispatch of micro-grid based on improved particle-swarm optimization algorithm

机译:基于改进粒子群优化算法的微网经济调度

获取原文

摘要

For micro-grid system under isolated and parallel operation mode, two kinds of economic dispatch operation model are established. The objective function of the model is formulated considering time-of-use (TOU) price and the electric energy transaction. The theory of particle swarm optimization (PSO) is proposed, and the key parameters are improved to enhance the performance of the algorithm. An actual case study with typical daily load data from a specific micro-grid is selected to examine the performance of the improved PSO(IPSO) algorithm. The effectiveness of the IPSO is verified through the comparison of optimization results. Under parallel mode, the operation cost of the micro-grid decreases 2.9% by applying IPSO algorithm, comparing to the one of PSO, while the operation cost is only 2.7% from original algorithm under islanding mode.
机译:对于孤立和并行操作模式下的微电网系统,建立了两种经济调度操作模型。模型的目标函数在考虑使用时间(TOU)价格和电能交易。提出了粒子群优化(PSO)理论,提高了关键参数以提高算法的性能。选择具有来自特定微电网的典型日常负荷数据的实际情况研究,以检查改进的PSO(IPSO)算法的性能。通过比较优化结果来验证IPSO的有效性。在并行模式下,通过应用IPSO算法,与PSO之一进行比较,微电网的运营成本降低了2.9%,而操作成本在岛屿模式下的原始算法仅为2.7%。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号