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Soft Open Point planning in Renewable-dominated Distribution Grids with Building Thermal Storage

CSEE Journal of Power and Energy Systems 2023年第1期9卷 244-253页

作者： Tiance Zhang Jianxiao Wang Haiwang Zhong Gengyin Li Ming Zhou Dejie Zhao School of Electrical and Electronic Engineering North China Electric Power UniversityBeijing 102206China. Dept.of Electrical Engineering Tsinghua UniversityBeijing 100084China

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 operational costs while respecting various constraints,including the self-sufficiency requirement of the DN,SOP,building thermal storage capacity and DER operations,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 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 plays a complementary and coordinated coupling role in the thermo-electric system,thereby effectively improving the hosting capacity and self-sufficiency of DNs.

关键词： Building thermal storage distributed generation planning soft open point thermos-electric system

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Evaluating the reliability of distributed photovoltaic energy system and storage against household blackout

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Global Energy Interconnection 2021年第1期4卷 18-27页

作者： Yimeng Sun Jie Gao Jianxiao Wang Ziyang Huang Gengyin Li Ming Zhou School of Electrical and Electronic Engineering North China Electric Power UniversityBeijing 102206P.R.China Automotive Technology and Research Center Co.Ltd TianjinP.R.China

distributed energy resources have been proven to be an effective and promising solution to enhance power system resilience and improve household-level reliability.In this paper,we propose a method to evaluate the reliability value of a photovoltaic(PV)energy system with a battery storage system(BSS)by considering the probability of grid outages causing household blackouts.Considering this reliability value,which is the economic profit and capital cost of PV+BSS,a simple formula is derived to calculate the optimal planning strategy.This strategy can provide household-level customers with a simple and straightforward expression for invested PV+BSS capacity.Case studies on 600 households located in eight zones of the US for the period of 2006 to 2015 demonstrate that adding the reliability value to economic profit allows households to invest in a larger PV+BSS and avoid loss of load caused by blackouts.Owing to the differences in blackout hours,households from the 8 zones express distinct willingness to install PV+BSS.The greater the probability of blackout,the greater revenue that household can get from the PV+BSS.The simulation example shows that the planning strategy obtained by proposed model has good economy in the actual operation and able to reduce the economic risk of power failure of the household users.This model can provide household with an easy and straightforward investment strategy of PV+BSS capacity.

关键词： Battery storage distributed generation planning Household blackout Reliability value Realistic dataset

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