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Demand-side management using a distributed initialisation-free optimisation in a smart grid

机译:在智能电网中使用分布式无初始化优化的需求侧管理

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Due to the integration of the renewable generation and the distributed load that inherently uncertain and unpredictable, developing an efficient distributed management structure of such a complex system remains a challenging issue. Most of the existing works on the demand-side management concentrate on the centralised methods or need a proper initialisation process. This study proposed a demand-side management strategy that can solve the optimisation problem in a distributed manner without initialisation. The objective of the designed demand management system is to maximise the social welfare of a smart grid by controlling the active power economically. The proposed optimisation strategy that generates the optimal power references uses the neighbouring information while considering the local feasible constraints by using a projection operation. Furthermore, the optimisation algorithm is initialisation free, which avoids any initialisation process when plugging-in new customers or plugging-out power units, such as demand loads, battery energy storage systems and distributed generators. The proposed strategy only uses the neighbouring information, so that the proposed approach is scalable and potentially applicable to large-scale smart grids. The effectiveness and scalability of the proposed algorithm are established and verified through case studies.
机译:由于可再生能源和分布式负载的整合固有的不确定性和不可预测性,因此开发这种复杂系统的有效分布式管理结构仍然是一个具有挑战性的问题。需求侧管理上的大多数现有工作都集中在集中式方法上,或者需要适当的初始化过程。这项研究提出了一种需求侧管理策略,该策略无需初始化即可以分布式方式解决优化问题。设计的需求管理系统的目标是通过经济地控制有功功率来最大化智能电网的社会福利。所提出的产生最佳功率参考的优化策略使用邻近信息,同时通过使用投影操作来考虑局部可行约束。此外,优化算法无需初始化,可避免在插入新客户或插入电源设备(例如需求负载,电池储能系统和分布式发电机)时进行任何初始化过程。所提出的策略仅使用邻近信息,因此所提出的方法是可扩展的,并且可能适用于大规模智能电网。通过案例研究建立并验证了所提算法的有效性和可扩展性。

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