计及分布式发电出力与电价不确定性的负荷聚合商电能获取策略

Electrical Energy Acquisition Strategy for Load Aggregators Considering Combined Uncertainties of Distributed Generation Outputs and Electricity Market Prices

随着电力系统中间歇性可再生能源发电和电动汽车负荷的渗透率不断提高,新的市场参与者的加入,电力系统运行和电力市场运营中的不确定因素随之增加,为负荷聚合商(load aggregator,LA)的运营和管理带来了新的问题甚至挑战。LA从日前电力批发市场购买电能时需考虑这些不确定因素,并充分利用需求侧资源,在追求利益最大化的同时有效控制风险成本。首先,分布式发电(distributed generation,DG)出力与日前市场电价分别描述为在各自区间内波动的随机变量。之后,以LA的收益最大化为目标,建立考虑DG与需求响应的从日前市场获取电能的鲁棒双层优化模型。最后,以修改的IEEE 33节点配电系统为例说明所提方法的可行性与有效性。

With the ever-increasing penetration level of renewable energy generation and electric vehicles in power system, new participants in electricity market operation, the number of uncertainty factors in power system operation and electricity market transactions is increasing and hence each load aggregator （LA） has to address emerging problems and even challenges. In seeking a profit maximization solution, the LA could make full use of demand side resources in purchasing electrical energy from the day-ahead electricity market, so as to mitigate the negative impacts of these uncertainty factors and hence control the costs caused by risks. Firstly, distributed generation （ DG ） outputs and day-ahead market prices are formulated as variables within respective intervals. Secondly, a robust bi-level optimization model for electrical energy acquisition from day-ahead electricity market, with the objective of maximizing the profit of each LA, is presented with DG and demand response included. Finally, a modified IEEE 33-bus distribution system is employed to demonstrate the feasibility and efficiency of the proposed method.