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The coordination between local and wholesale markets has been widely regarded as an effective means to improve the utilization of demand side resources. Existing literature has begun to explore the feasible region for incorporating local electricity markets into the wholesale level via projection algorithms. However, it remains challenging to deal with the complex constraints of inner spatiotemporal coupling. To achieve efficient interaction between local and wholesale markets, this paper proposes a local electricity market representation method based on umbrella constraints extraction. In contrast to the existing projection methods, we theoretically derive the closed form of a projection-based feasible region, which can be characterized as a constraint set formed by the extreme points of the dual space of the proposed diagnostic methods. A local market is equivalently formulated as a condensed model represented by its temporal-coupled feasible region (TCFR). To reduce the redundant constraints of TCFR, an umbrella constraint identification method is developed for the minimal representation of the problem. Case studies based on a modified IEEE 33-bus feeder and a realistic distribution grid in Venezuela demonstrate the effectiveness and computational efficiency of our proposed method.
Zhang et al. (Tue,) studied this question.