论文标题
在概率的电力需求和太阳生成预测下运行信封
Operating Envelopes under Probabilistic Electricity Demand and Solar Generation Forecasts
论文作者
论文摘要
低压网络中分布式能源资源的渗透不断增加，这将最终用户从消费者转变为生产者。但是，由于零售和网络服务之间的监管分离，智能电表数据的不完整和智能电表数据的稀少使主动分配网络管理变得困难。此外，分销网络运营商通常无法访问实时智能电表数据，这会带来额外的挑战。由于缺乏更好的解决方案，他们使用毯子屋顶太阳出口限制，从而导致次优结果。为了解决这个问题，我们设计了一个有条件的生成对抗网络（CGAN）的模型，以预测家庭太阳能产生和发电需求，这是用于在不确定性下用于计算公平操作信封的机会约束最佳功率流的输入。
The increasing penetration of distributed energy resources in low-voltage networks is turning end-users from consumers to prosumers. However, the incomplete smart meter rollout and paucity of smart meter data due to the regulatory separation between retail and network service provision make active distribution network management difficult. Furthermore, distribution network operators oftentimes do not have access to real-time smart meter data, which creates an additional challenge. For the lack of better solutions, they use blanket rooftop solar export limits, leading to suboptimal outcomes. To address this, we designed a conditional generative adversarial network (CGAN)-based model to forecast household solar generation and electricity demand, which serves as an input to chance-constrained optimal power flow used to compute fair operating envelopes under uncertainty.
