Control and management in smart grids are facing many challenges such as scalability, heterogeneity and technology innovation. This requires a transformation from the traditional centralised paradigm into a distributed one. In this article, a new distributed programming methodology, called Centralised Programming and Distributed Execution (CPDE), is proposed. CPDE relies on (i) the abstraction of the whole system as a distributed database; (ii) the use of the Smartlog declarative and reactive rule based language for expressing data manipulation; and (iii) the automatic Smartlog rule distribution according to data distribution. It thus provides a simple and straightforward mean for distributed programming. A centralised algorithm of fair over-voltage regulation of PV systems is used as a typical smart grids study case to validate the methodology and to compare it with centralized implementations. The experiments are implemented in a real-time simulation platform with a network of Raspberry Pis. In addition to showing its correctnes and ease of use, the performance of the CPDE implementation is studied, as well as its sensitivity to the increasing number of computing units and the data distribution. Results are promising and show the clear benefits of this methodology compared to more classical implementations.

中文翻译：

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CPDE：集中式智能电网程序透明分配的方法

智能电网的控制和管理面临着可扩展性、异构性和技术创新等诸多挑战。这需要从传统的集中式范式转变为分布式范式。在本文中，提出了一种新的分布式编程方法，称为集中式编程和分布式执行 (CPDE)。CPDE 依赖于 (i) 将整个系统抽象为分布式数据库；(ii) 使用 Smartlog 声明式和反应式基于规则的语言来表达数据操作；(iii) 根据数据分布自动分配Smartlog 规则。因此，它为分布式编程提供了一种简单直接的方法。光伏系统公平过电压调节的集中式算法被用作典型的智能电网研究案例，以验证该方法并将其与集中式实施进行比较。实验在带有树莓派网络的实时仿真平台上进行。除了展示其正确性和易用性之外，还研究了 CPDE 实现的性能，以及它对计算单元数量和数据分布的增加的敏感性。结果很有希望，并显示出与更经典的实现相比，这种方法的明显优势。研究了 CPDE 实现的性能，以及它对不断增加的计算单元数量和数据分布的敏感性。结果很有希望，并显示出与更经典的实现相比，这种方法的明显优势。研究了 CPDE 实现的性能，以及它对不断增加的计算单元数量和数据分布的敏感性。结果很有希望，并显示出与更经典的实现相比，这种方法的明显优势。