• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>IEEE Global Communications Conference >A game theoretical approach for energy trading in wireless networks powered by green energy
【24h】

A game theoretical approach for energy trading in wireless networks powered by green energy

机译：基于绿色能源的无线网络中能源交易的博弈论方法

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Green energy sources, such as solar and wind, provide an alternative solution for powering wireless networks. To maximize the utilization of green energy charged from different sources, it is desirable to allow energy trade among neighbor cells. In this paper, the local energy trade issues in a wireless mesh network powered by green energy are studied such that energy can be purchased either from neighbor cells or from electricity grid, based on the energy charging and discharging characteristics in each cell. Our objective is to determine the optimal price and quantity of energy purchase and sale for each cell such that the profits of all cells can be maximized and their energy demands can be fulfilled. To this end, the energy trading problem is formulated as a Stackelberg game. Based on the utility function, the closed-form expressions of the optimal energy quantity and price for trading are derived. Finally, an optimal scheme, namely, Optimal Profits Energy Trading (OPET), is proposed to maximize the profits of all cells. The proposed OPET can achieve the optimal solution with polynomial time complexity. Extensive simulations are conducted to verify the performance of the proposed scheme.
机译：太阳能和风能等绿色能源为无线网络提供了替代解决方案。为了最大程度地利用从不同来源充电的绿色能源，希望允许相邻小区之间的能源交易。在本文中，研究了由绿色能源驱动的无线网状网络中的局部能源贸易问题，以便可以根据每个小区的能量充放电特性从相邻小区或从电网购买能量。我们的目标是确定每个电池的最佳能源购买和销售价格和数量，以使所有电池的利润最大化并满足其能源需求。为此，将能源交易问题表述为Stackelberg游戏。基于效用函数，得出最佳能源交易量和价格的闭式表达式。最后，提出了一种最优方案，即最优利润能源交易（OPET），以最大化所有电池的利润。提出的OPET可以实现多项式时间复杂度的最优解。进行了广泛的仿真，以验证所提出方案的性能。

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