• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE transactions on industrial informatics >Pareto Optimal Demand Response Based on Energy Costs and Load Factor in Smart Grid
【24h】

Pareto Optimal Demand Response Based on Energy Costs and Load Factor in Smart Grid

机译：基于能量成本和智能电网负载系数的帕累托最优需求响应

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Demand response for residential users is essential to the realization of modern smart grids. In this paper, we propose a multiobjective approach to designing a demand response program that considers the energy costs of residential users and the load factor of the underlying grid. A multiobjective optimization problem (MOP) is formulated and Pareto optimality is adopted. Stochastic search methods of generating feasible values for decision variables are proposed. Theoretical analysis is performed to show that the proposed methods can effectively generate and preserve feasible points during the solution process, which comparable methods can hardly achieve. A multiobjective evolutionary algorithm is developed to solve the MOP, producing a Pareto optimal demand response (PODR) program. Simulations reveal that the proposed method outperforms the comparable methods in terms of energy costs while producing a satisfying load factor. The proposed PODR program is able to systematically balance the needs of the grid and residential users.
机译：住宅用户的需求响应对于实现现代智能电网至关重要。在本文中，我们提出了一种多目标方法来设计需求响应计划，该计划考虑住宅用户的能量成本和底层网格的负载系数。配制了多目标优化问题（MOP），采用了帕累托最优性。提出了对决策变量产生可行值的随机搜索方法。进行理论分析以表明所提出的方法可以在解决方案过程中有效地产生和保持可行点，可相当的方法很难实现。开发了一种多目标进化算法来解决拖把，产生帕累托最优需求响应（PODR）程序。仿真表明，该方法在生产令人满意的负载因子的同时优于能量成本方面的比较方法。拟议的PODR计划能够系统地平衡网格和住宅用户的需求。

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