首页> 外文期刊>Energy >A novel approach for optimal economic dispatch scheduling of integrated combined heat and power systems for maximum economic profit and minimum environmental emissions based on Benders decomposition
【24h】

A novel approach for optimal economic dispatch scheduling of integrated combined heat and power systems for maximum economic profit and minimum environmental emissions based on Benders decomposition

机译:基于Benders分解的热电联产系统最优经济调度的新方法,可实现最大的经济利润和最小的环境排放

获取原文
获取原文并翻译 | 示例
       

摘要

The utilization of energy efficient CHP (combined heat and power) systems provides opportunities for GENCOs (generation companies) to simultaneously increase their economic benefits and decrease environmental emissions. The goals of this study are to develop and simulate a novel approach for optimal economic dispatch scheduling for a GENCO to maximize economic profit and minimize environmental emissions based on integration of CHP systems with conventional TG (thermal power generating) units, where a DBD (double Benders decomposition) solution approach is proposed for optimization. The CHP PBUC (profit based unit commitment) problem with non-convex constraints for integration of CHP units into GENCOs generation portfolio is solved and, the results for several cases along with sensitivity analyses are reported. The results from DBD approach for optimization are validated based on comparison with those from gravitational search and imperialistic competitive algorithms as well as other algorithms examined in other studies. When CHP units are integrated with a 10 TG unit system, results from implementing the proposed DBD approach are extremely encouraging, as GENCO profit for providing electricity and heat energy is increased by 518.78% and environmental emissions are reduced by 7.57%, in comparison with case of GENCO using TG units for meeting the same electricity demand. (C) 2016 Elsevier Ltd. All rights reserved.
机译:能源效率高的CHP(热电联产)系统的利用为GENCO(发电公司)提供了同时增加其经济效益和减少环境排放的机会。这项研究的目的是基于CHP系统与常规TG(热力发电)单元的集成,其中dbd(双提出了Benders分解)求解方法进行优化。解决了非凸约束条件的CHP PBUC(基于利润的单位承诺)问题,该问题将CHP单元整合到GENCO的发电投资组合中,并报告了几种情况的结果以及敏感性分析。通过与重力搜索和帝国竞争算法以及其他研究中检验的其他算法的比较,验证了DBD优化方法的结果。当CHP装置与10 TG装置系统集成时,与建议的情况相比,由于GENCO提供电力和热能的利润增加了518.78%,环境排放减少了7.57%,因此实施提议的DBD方法的结果非常令人鼓舞。 GENCO使用TG装置来满足相同的电力需求。 (C)2016 Elsevier Ltd.保留所有权利。

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