首页|Low-carbon Dispatching for Virtual Power Plant with Aggregated Distributed Energy Storage Considering Spatiotemporal Distribution of Cleanness Value

Low-carbon Dispatching for Virtual Power Plant with Aggregated Distributed Energy Storage Considering Spatiotemporal Distribution of Cleanness Value

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The scale of distributed energy resources is increas-ing,but imperfect business models and value transmission mechanisms lead to low utilization ratio and poor responsive-ness.To address this issue,the concept of cleanness value of dis-tributed energy storage(DES)is proposed,and the spatiotempo-ral distribution mechanism is discussed from the perspectives of electrical energy and cleanness.Based on this,an evaluation sys-tem for the environmental benefits of DES is constructed to bal-ance the interests between the aggregator and the power system operator.Then,an optimal low-carbon dispatching for a virtual power plant(VPP)with aggregated DES is constructed,where-in energy value and cleanness value are both considered.To achieve the goal,a green attribute labeling method is used to es-tablish a correlation constraint between the nodal carbon poten-tial of the distribution network(DN)and DES behavior,but as a cost,it brings multiple nonlinear relationships.Subsequently,a solution method based on the convex envelope(CE)linear re-construction method is proposed for the multivariate nonlinear programming problem,thereby improving solution efficiency and feasibility.Finally,the simulation verification based on the IEEE 33-bus DN is conducted.The simulation results show that the multidimensional value recognition of DES motivates the willingness of resource users to respond.Meanwhile,resolving the impact of DES on the nodal carbon potential can effectively alleviate overcompensation of the cleanness value.

Distributed energy storagevirtual power plant(VPP)spatiotemporal distributionlow-carbon dispatching

Hongchao Gao、Tai Jin、Guanxiong Wang、Qixin Chen、Chongqing Kang、Jingkai Zhu

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State Key Laboratory of Power System Operation and Control,Department of Electrical Engineering,Tsinghua University,Beijing 100084,China

Sichuan Energy Internet Research Institute Tsing-hua University,Chengdu 200016,China

Power Dispatching and Control Center of Shanghai Municipal Electric Power Company,Shanghai 200122,China

国家重点研发计划

2021YFB2401200

2024

现代电力系统与清洁能源学报(英文版)

现代电力系统与清洁能源学报(英文版)

ISSN:
年,卷(期):2024.12(2)
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