论文标题
一个两阶段的随机编程DSO框架，用于在不确定性下进行全面聚合器的全面市场参与
A Two-stage Stochastic Programming DSO Framework for Comprehensive Market Participation of DER Aggregators under Uncertainty
论文作者
论文摘要
在本文中，提出了一个分配系统操作员（DSO）框架，以基于两阶段随机编程的不确定性，分布式能源资源（DER）聚合器的综合零售和批发市场参与。不同种类的DER聚合器，包括储能聚合器（ESAG），需求响应聚合器（阻力），电动汽车（EV）聚合充电站（EVCSS），可调度分布式生成（DDG）聚合器（DDGAGS）和可再生能量聚集器（Reags）（Reags）。分布网络操作约束使用线性化功率流。该问题是使用混合企业线性编程（MILP）建模的，可以通过使用商业求解器来解决。进行了案例研究以研究拟议的DSO框架的性能。
In this paper, a distribution system operator (DSO) framework is proposed for comprehensive retail and wholesale markets participation of distributed energy resource (DER) aggregators under uncertainty based on two-stage stochastic programming. Different kinds of DER aggregators including energy storage aggregators (ESAGs), demand response aggregators (DRAGs), electric vehicle (EV) aggregating charging stations (EVCSs), dispatchable distributed generation (DDG) aggregators (DDGAGs), and renewable energy aggregators (REAGs) are modeled. Distribution network operation constraints are considered using a linearized power flow. The problem is modeled using mixed-integer linear programming (MILP) which can be solved by using commercial solvers. Case studies are conducted to investigate the performance of the proposed DSO framework.
