论文标题
两阶段分布式能源资源通过机会约束的交流最佳功率流程进行调度：二阶锥形编程方法
Two-Stage Distributed Energy Resources Scheduling via Chance-Constrained AC Optimal Power Flow: A Second-Order Cone Programming Approach
论文作者
论文摘要
分布式能源（DER）的渗透正在急剧增加。由于DERS的不确定性，分配系统的运行面临着更高的风险和挑战。为了克服此类挑战，本文提出了一个两阶段的机会约束凸AC最佳功率流（ACOPF）模型，这可以提高分配系统操作的经济效率并管理DER的间歇性。在第一阶段，提出了基于凸的二阶锥体编程（SOCP）的ACOPF模型，其中详细的模型和DER的局限性，即需求响应（DR），存储单位和屋顶PV系统，以建模以获得DER的参与率。在第二阶段，蒙特卡洛模拟用于建模DER的不确定性。引入了违规指数，以在安排更多的使用者和对分配系统施加更高的风险之间进行权衡。在此阶段，对每种情况进行了功率流量分析，以确定系统的概率违规指数。然后，提出了一个基于SOCP的ACOPF，以满足系统概率违规标准。仿真结果表明，拟议的两阶段机会约束模型提高了分配系统实时操作的经济效率和可靠性。
The penetration of distributed energy resources (DERs) is increasing dramatically. Due to the uncertainty of DERs, the operation of the distribution system is facing higher risks and challenges. To overcome such challenges, a two-stage chance-constrained convex AC optimal power flow (ACOPF) model is proposed in this paper, which can increase the economic efficiency of distribution system operation and manage the intermittency of DERs. In the first stage, a convex second-order cone programming (SOCP)-based ACOPF model is proposed in which the detailed models and limitations of DER, namely, demand response (DR), energy storage units, and rooftop PV systems are modeled to obtain participation ratio of DERs. In the second stage, Monte Carlo simulation is utilized to model the uncertainties of DERs. A probability violation index is introduced to make a trade-off between scheduling more DERs and imposing a higher risk to the distribution system. In this stage, power flow analysis is conducted for each scenario to determine the probability violation index of system. Then, a modified SOCP-based ACOPF is proposed to satisfy the system probability violation criterion. Simulation results illustrate that the proposed two-stage chance-constrained model improves economic efficiency and reliability of real-time operation of the distribution system.
