Load management of electrical devices in residential buildings can be applied with different goals in the power grid, such as the cost optimization regarding variable electricity prices, peak load reduction or the minimization of behavioral efforts for users due to load shifting. A cooperative multi-objective optimization of consumers and generators of power has the potential to solve the simultaneity problem of power consumption and optimize the power supply from the superposed grid regarding different goals. In this paper, we present a multi-criteria extension of a distributed cooperative load management technique in smart grids based on a multi-agent framework. As a data basis, we use feasible power consumption and production schedules of buildings, which have been derived from simulations of a building model and have already been optimized with regard to self-consumption. We show that the flexibilities of smart buildings can be used to pursue different targets and display the advantage of integrating various goals into one optimization process.

中文翻译：

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分布式智能建筑能耗多目标调度

住宅建筑物中的电气设备的负载管理可以在电网中以不同的目标来应用，例如有关可变电价的成本优化，峰值负载降低或由于负载转移而使用户的行为努力最小化。消费者和发电机的多目标协作优化有潜力解决电力消耗的同时性问题，并针对不同目标优化叠加电网的电力供应。在本文中，我们提出了一种基于多主体框架的智能电网中分布式协作负载管理技术的多准则扩展。作为数据基础，我们使用了可行的建筑物能耗和生产时间表，它们是从建筑模型的模拟中得出的，并且已经在自耗方面进行了优化。我们表明，智能建筑的灵活性可用于追求不同的目标，并显示出将各种目标整合到一个优化过程中的优势。