Abstract
Several technical, computational, and economic barriers have caused curtailing a share of renewable-based power generation, especially in systems with higher penetration levels. The Mobile Battery Energy Storage (MBES) can cope with this problem considering the spatial and temporal distribution of the curtailed energy. Accordingly, a new operation model is proposed for optimal scheduling of the MBES in a distribution network with wind and photovoltaic (PV) resources. The network experiences curtailment situations because of bus overvoltage, feeder overload, and power over-generation. The MBES is a truck-mounted battery system compacted in a container. The proposed model seeks to determine the optimal spatio-temporal and power–energy status of the MBES to achieve a minimum curtailment ratio. The model considers transportation time and cost of the MBES efficiently while both active and reactive power exchanges are modeled. The model is linear, without convergence and optimality problems, applicable to real-life large-scale networks, and can be easily integrated into the commercial distribution management software. The implementation results on a test system demonstrate its functionality to recover a considerable share of the curtailed energy for both wind and PV resources at all curtailment patterns and scenarios.
Highlights
The growing share of renewable energy in the electricity generation portfolio has reduced energy costs in addition to air pollution [1]
The Mobile Battery Energy Storage (MBES) is a complete battery system placed in a container capable of transportation using any shipping method
For the Olc60 scenario, considering curtailed energy on the one hand and the high line congestion, on the other hand, the MBES has decided to move to the wind park location for maximum utilization
Summary
The growing share of renewable energy in the electricity generation portfolio has reduced energy costs in addition to air pollution [1]. The MBES can be present at different time periods to store the curtailed energy at different production locations This application of the MBES was focused on in this paper. Various curtailment causes and scenarios and the applicability of the MBES to recover the curtailed energy at each one are not addressed yet With this view, a new MBES transportation model is proposed in this paper for renew-. The proposed model is integrated into the distribution grid Optimal Power Flow (OPF) to mitigate solar and wind energy curtailment. The applicability of the MBES utilizing the proposed method to mitigate renewable energy curtailment caused by the power over-generation, feeder overload, and bus overvoltage is analyzed. - Proposing a spatio-temporal and power–energy scheduling model for truck-mounted mobile battery in distribution networks while considering transportation time and cost;.
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