高压电能计量装置一般采用误差分配的方法进行管理和配置,间接控制其整体误差限值。文章介绍了高压电能计量装置整体误差直接测量系统的结构和原理,应用该系统直接测量一套10 k V、100 A高压电能计量装置的整体误差,并将测量结果与综合...高压电能计量装置一般采用误差分配的方法进行管理和配置,间接控制其整体误差限值。文章介绍了高压电能计量装置整体误差直接测量系统的结构和原理,应用该系统直接测量一套10 k V、100 A高压电能计量装置的整体误差,并将测量结果与综合误差法的计算结果进行了计量比对。结果表明该系统能够准确测量高压电能计量装置的整体误差,与综合误差计算法相比具有直接、快速、准确的特点,能够降低高压电能计量装置误差性能在实际运行中的不确定性。展开更多
This paper proposes an optimal risk-constrained energy management strategy for commercial buildings in a commercial campus with islanding capabilities.The goal is to minimize the total operation and maintenance costs,...This paper proposes an optimal risk-constrained energy management strategy for commercial buildings in a commercial campus with islanding capabilities.The goal is to minimize the total operation and maintenance costs,while maximizing comprehensive comfort levels for the occupants.A two-stage riskconstrained,scenario-based stochastic optimization approach is adopted to handle various uncertainties associated with the energy management process,such as power generation of rooftop solar panels,arrival state-of-charges,and arrival/departure time of plug-in electric vehicles,intermittent load demand,and uncertain grid-connection conditions.A conditional-valueat-risk method is introduced to provide a risk-averse energy management strategy.To face the challenge of both reducing the computational burden and maintaining the accuracy of the stochastic programming,an advanced scenario reduction method is leveraged.Extensive simulation results validate the effectiveness of the proposed energy management strategy for minimizing total operating and maintenance costs of commercial buildings with islanding capabilities,while maximizing comprehensive comfort levels of the occupants.展开更多
文摘高压电能计量装置一般采用误差分配的方法进行管理和配置,间接控制其整体误差限值。文章介绍了高压电能计量装置整体误差直接测量系统的结构和原理,应用该系统直接测量一套10 k V、100 A高压电能计量装置的整体误差,并将测量结果与综合误差法的计算结果进行了计量比对。结果表明该系统能够准确测量高压电能计量装置的整体误差,与综合误差计算法相比具有直接、快速、准确的特点,能够降低高压电能计量装置误差性能在实际运行中的不确定性。
基金supported by State Grid Corporation of China(SGCC)under project“Hybrid Energy Storage Management Platform for Integrated Energy System”(No.SGGR0000DLJS1800932).
文摘This paper proposes an optimal risk-constrained energy management strategy for commercial buildings in a commercial campus with islanding capabilities.The goal is to minimize the total operation and maintenance costs,while maximizing comprehensive comfort levels for the occupants.A two-stage riskconstrained,scenario-based stochastic optimization approach is adopted to handle various uncertainties associated with the energy management process,such as power generation of rooftop solar panels,arrival state-of-charges,and arrival/departure time of plug-in electric vehicles,intermittent load demand,and uncertain grid-connection conditions.A conditional-valueat-risk method is introduced to provide a risk-averse energy management strategy.To face the challenge of both reducing the computational burden and maintaining the accuracy of the stochastic programming,an advanced scenario reduction method is leveraged.Extensive simulation results validate the effectiveness of the proposed energy management strategy for minimizing total operating and maintenance costs of commercial buildings with islanding capabilities,while maximizing comprehensive comfort levels of the occupants.
