Soft open point planning in renewable-dominated distribution grids with building thermal storage
Tiance Zhang, Jianxiao Wang, Haiwang Zhong, Gengyin Li, Ming Zhou, Dejie Zhao
Abstract
With an increasing integration of intermittent distributed energy resources (DERs), the consequent voltage excursion and thermal overloading issues limit the self-sufficiency of distribution networks (DNs). The concept of soft open point (SOP) has been proposed as a promising solution to improve the hosting capacity of DNs. In this paper, considering the ability of building thermal storage (BTS) to increase the penetration of renewable energy in DNs, we provide an optimal planning framework for SOP and DER. The optimal planning model is aimed at minimizing the investment and operation costs while respecting various constraints, including the self-sufficiency requirement of the DN, SOP, building thermal storage capacity and DER operation, etc. A steady-state SOP model is formulated and linearized to be incorporated into the planning framework. To make full use of the BTS flexibility provided by ubiquitous buildings, a differential equation model for building thermal dynamics is formulated. A hybrid stochastic/robust optimization (RO) approach is adopted to depict the uncertainties in renewable energy and market prices. IEEE 33-bus feeder and a realistic DN in the metropolitan area of Caracas are tested to validate the effectiveness of the proposed framework and method. Case studies show that SOP/BTS play a complementary and coordinated coupling role in the thermo-electric system, thereby effectively improving the hosting capacity and self-sufficiency of DNs.