Demand response, the reactive power output of distributed generation (DG), and network reconfiguration have significant impacts on a DG allocation strategy. In this context, a novel real-time price-based demand response formulation is integrated into the allocation model of DG. The tariff is regulated by the difference between the load and active power of renewable energy. Meanwhile, network reconfiguration and the capacity curve describing the active and reactive power limits of DG are included in the optimization model for promoting the allocation of DG. With these measures, the optimal allocation model of DG is established with the goal of maximizing the net annual profit while guaranteeing the efficient utilization of renewable energy. In addition, the uncertainties of renewable energy are considered on the basis of a two-stage robust optimization method. Finally, the entire optimization model is solved by the column and constraint generation algorithm in the IEEE 33-bus distribution system and a practical 99-bus distribution system. Numerical simulations show that the proposed model is effective in terms of improving both the usage of renewable energy and net annual profit.

中文翻译：

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考虑容量曲线和基于实时价格的需求响应的两阶段鲁棒分布式发电最优分配模型

需求响应，分布式发电（DG）的无功输出以及网络重新配置对DG分配策略有重大影响。在这种情况下，将一种新颖的基于实时价格的需求响应公式集成到DG的分配模型中。电价由可再生能源的负荷与有功功率之差来调节。同时，网络重新配置和描述DG有功功率和无功功率极限的容量曲线也包含在优化模型中，以促进DG的分配。通过这些措施，建立了DG的最优分配模型，其目标是在确保可再生能源有效利用的同时，最大化年度净利润。此外，基于两阶段鲁棒优化方法，考虑了可再生能源的不确定性。最后，在IEEE 33总线配电系统和实际的99总线配电系统中，通过列和约束生成算法来求解整个优化模型。数值模拟表明，该模型在改善可再生能源的使用和年度净利润方面都是有效的。