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首页> 外文期刊>IEEE transactions on industrial informatics >Centralized Stochastic Energy Management Framework of an Aggregator in Active Distribution Network
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Centralized Stochastic Energy Management Framework of an Aggregator in Active Distribution Network

机译：主动配电网中聚集器的集中式随机能量管理框架

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摘要

This paper develops a detailed and sequential procedure for short term operation of an aggregator to minimize the cost of the consumer and risk of the aggregator, which includes day-ahead (DA) and real-time (RT) operation. DA operation has two stages: consumer load scheduling and risk-based energy procurement. Consumer load scheduling implemented over a radial distribution network by a cost minimization objective function which considers electricity price and solar photovoltaic (PV) uncertainty, peak-to-average ratio, and phase unbalance. This model is formulated as a mixed integer nonlinear program. In the second stage, a risk-based energy procurement is formulated. Here, the aggregator has the choice of energy procurement from wholesale market, either in DA market or RT market, to meet the scheduled power. In RT operation, the aggregator takes a decision on share of RT purchases and battery schedules to minimize the cost of scheduled load power deviations. In order to realize this, a rolling window optimization is implemented, which is modeled as a mixed integer problem. The framework is demonstrated with a detailed case study of 15-node radial active distribution network consisting of 420 residential customers.
机译：本文针对聚集器的短期操作开发了详细的顺序过程，以最大程度地降低消费者的成本和聚集器的风险，其中包括提前（DA）和实时（RT）操作。 DA运行分为两个阶段：用户负荷调度和基于风险的能源采购。通过成本最小化目标函数在径向分布网络上实施的消费者负荷调度，该函数考虑了电价和太阳能光伏（PV）的不确定性，峰均比和相位不平衡。该模型被公式化为混合整数非线性程序。在第二阶段，制定了基于风险的能源采购。在这里，聚合器可以选择从批发市场（DA市场或RT市场）采购能源，以满足计划的电力需求。在RT操作中，聚合器会决定购买RT的比例和电池计划，以最大程度地降低计划的负载功率偏差的成本。为了实现这一点，实现了滚动窗口优化，将其建模为混合整数问题。对该框架进行了详细的案例研究，该案例研究了由420个住宅客户组成的15节点径向活动配电网络。

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