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Smart distribution system management considering electrical and thermal demand response of energy hubs

机译:考虑能源枢纽的电气和热需求响应的智能配电系统管理

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Employing active elements such as energy hubs in energy management of distribution grid requires smart management strategies. In this paper, a demand response strategy for distribution grid management is proposed in which the distribution system operator (DSO) uses the flexibility of energy hubs in a demand response format to improve the operation. Moreover, it also provides benefits for energy hubs. The proposed strategy uses a recursive two-level optimization structure to model the interactions between DSO and energy hubs. As well as electrical loads of energy hubs, thermal loads are considered flexible with thermal constraints. Therefore, the flexibility of energy hubs is increased. Stochastic optimization is integrated into the proposed method to handle the uncertainty of intermittent energies such as wind energy. The strategy is implemented in a 6-bus and 18-bus test systems. The simulation results evaluate the performance of the proposed strategy. The results show that peak loads of energy hub and distribution grid are reduced by 29% and 14% in the 6-bus test system, respectively. Furthermore, the operation cost of the energy hub and distribution grid are reduced by 10% and 14%. (C) 2018 Elsevier Ltd. All rights reserved.
机译:在配电网的能源管理中使用诸如能源枢纽之类的活跃元素需要明智的管理策略。本文提出了一种用于配电网管理的需求响应策略,其中配电系统运营商(DSO)以需求响应格式利用能源枢纽的灵活性来改善运营。此外,它还为能源枢纽提供了好处。所提出的策略使用递归两级优化结构来对DSO与能源枢纽之间的相互作用进行建模。除能源枢纽的电气负载外,热负载也被认为具有热约束的灵活性。因此,提高了能源枢纽的灵活性。随机优化被集成到所提出的方法中,以处理诸如风能之类的间歇性能源的不确定性。该策略在6总线和18总线测试系统中实现。仿真结果评估了所提出策略的性能。结果表明,在6总线测试系统中,能源枢纽和配电网的峰值负载分别降低了29%和14%。此外,能源枢纽和配电网的运营成本分别降低了10%和14%。 (C)2018 Elsevier Ltd.保留所有权利。

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