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Stochastic System of Systems Architecture for Adaptive Expansion of Smart Distribution Grids

机译:智能配电网自适应扩展的系统体系结构随机系统

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The incorporation of the reconfiguration into the expansion planning of smart distribution networks is addressed in this paper, in which the potential of distributed energy resources and demand response (DR) are modeled. The system of systems (SoS) architecture is employed to model the strategy of a distribution company (DISCO), a private investor (PI), and a DR provider (DRP). The SoS is an efficient modeling architecture to model the behavior of independent and autonomous systems with distinct objective functions who are able to share some data and work together. The aim of the DISCO is to upgrade the system with the optimal cost and reliability, whereas the PI and DRP want to maximize their profit. The DISCO should try to persuade the PI to install DGs (Distributed generations) by offering the guaranteed purchasing prices. Furthermore, the DRP is a market player who can negotiate with the DISCO to sign a contract to sell the purchased DR capacities from the customers. The uncertainties of the DISCO problem is handled by using the chance-constraint method, but the PI and DRP use the conditional value at risk method to model their uncertainties. Finally, to solve the proposed model, the multiobjective optimization algorithm is employed.
机译:本文讨论了将重新配置纳入智能配电网的扩展计划中的问题,其中对分布式能源的潜力和需求响应(DR)进行了建模。系统系统(SoS)体系结构用于对分销公司(DISCO),私人投资者(PI)和灾难恢复提供商(DRP)的策略进行建模。 SoS是一种高效的建模体系结构,用于对具有不同目标功能的独立和自治系统的行为进行建模,这些目标功能能够共享一些数据并一起工作。 DISCO的目的是以最佳的成本和可靠性来升级系统,而PI和DRP希望最大化其利润。 DISCO应该通过提供有保证的购买价格来说服PI安装DG(分布式发电)。此外,DRP是市场参与者,可以与DISCO进行谈判以签订合同,从客户那里购买购买的DR容量。 DISCO问题的不确定性通过机会约束方法处理,但是PI和DRP使用风险条件值方法对它们的不确定性进行建模。最后,为解决该模型,采用了多目标优化算法。

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