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首页> 外文期刊>Electric power systems research >Stochastic multi-objective operational planning of smart distribution systems considering demand response programs
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Stochastic multi-objective operational planning of smart distribution systems considering demand response programs

机译：考虑需求响应程序的智能配电系统随机多目标运营计划

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The development of smart grids offers new opportunities to improve the efficiency of operation of Distributed Energy Resources (DERs) by implementing an intelligent Distribution Management System (DMS). The DMS consists of application systems that are used to support the DERs management undertaken by a Distribution System Operator (DSO). In this paper, a conceptual model for a Demand Response Management System (DRMS), conceived as an application system of a DMS, is presented. Moreover, an optimization tool, able to consider the available DERs (conventional or renewable Distributed Generations (DCs) and demand response) is proposed. The optimization tool uses a stochastic multi-objective method in order to schedule DERs and aims at minimizing the total operational costs and emissions while considering the intermittent nature of wind and solar power as well as demand forecast errors. In order to facilitate small and medium loads participation in demand response programs, a Demand Response Provider (DRP) aggregates offers for load reduction. The proposed scheduling approach for DERs is tested on a 69-bus distribution test system over a 24-h period.
机译：智能电网的发展为通过实施智能配电管理系统（DMS）来提高分布式能源（DER）的运营效率提供了新的机遇。 DMS由应用程序系统组成，这些应用程序系统用于支持配电系统运营商（DSO）进行的DER管理。在本文中，提出了需求响应管理系统（DRMS）的概念模型，该模型被认为是DMS的应用系统。此外，提出了一种能够考虑可用DER（常规或可再生分布式发电（DC）和需求响应）的优化工具。该优化工具使用随机多目标方法来调度DER，目的是在考虑到风能和太阳能的间歇性以及需求预测误差的同时，将总运营成本和排放降至最低。为了促进中小型负载参与需求响应程序，需求响应提供程序（DRP）汇总提供了减少负载的功能。建议的DER调度方法在69总线配电测试系统上经过24小时测试。

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