Under conditions ensuring reliable grid operation, a distribution network system equipped with energy storage and a tiered carbon pricing mechanism can achieve a 10.7% reduction in overall regional carbon emissions, an 8.2% increase in profits for distribution network operators . .
Under conditions ensuring reliable grid operation, a distribution network system equipped with energy storage and a tiered carbon pricing mechanism can achieve a 10.7% reduction in overall regional carbon emissions, an 8.2% increase in profits for distribution network operators . .
The “load-following” characteristic of the power system makes the electricity consumption behavior on the load side crucial for the low-carbon operation of the distribution network. To address this, this paper proposes an improved dynamic carbon emission factor for the distribution network, taking. .
This study focuses on optimizing shared energy storage (SES) and distribution networks (DNs) using deep reinforcement learning (DRL) techniques to enhance operation and decision-making capability. An innovative dynamic carbon intensity calculation method is proposed, which more accurately. .
Under the “dual carbon” goals, virtual energy storage (VES) resources present new opportunities for low-carbon planning in distribution networks. This paper, therefore, proposes a low-carbon planning method for distribution networks that comprehensively considers VES resources, renewable energy. .
This paper establishes an accurate carbon emission model for energy storage within distribution substations. By considering the impacts of carbon costs and electricity price signals, a strategy for energy storage charge and discharge is proposed with the dual objectives of maximizing economic. .
This study establishes an optimized operation model for distribution networks integrated with energy storage, considering the dynamics of the carbon trading market. The model employs carbon emission flow theory to analyze node carbon potential within the power topology network, constructing a. .
This paper establishes an accurate carbon emission model for energy storage within distribution substations. By considering the impacts of carbon costs and electricity price signals, a strategy for energy storage charge and discharge is proposed with the dual objectives of maximizing economic.
