Optimized Planning of Distribution Grids Considering Grid Expansion, Battery Systems and Dynamic Curtailment
Ouafa Laribi and
Krzysztof Rudion
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Ouafa Laribi: Institute of Power Transmission and High Voltage Technology, University of Stuttgart, 70174 Stuttgart, Germany
Krzysztof Rudion: Institute of Power Transmission and High Voltage Technology, University of Stuttgart, 70174 Stuttgart, Germany
Energies, 2021, vol. 14, issue 17, 1-27
Abstract:
The increasing integration of renewable energies into the grid is calling for the expansion of the power transport capacities in the distribution system. Yet, the expansion of the grid could require long authorization procedures and cannot be always asserted. Therefore, a higher utilization of the existing grid is becoming increasingly necessary today. This paper proposes a new time series-based planning method for distribution systems using classical grid expansion instruments as well as innovative planning instruments such as battery storage systems (BSS) and dynamic power curtailment (DPC). These planning instruments could be applied individually or combined. The aim of the BSS and DPC application is to enable a higher utilization of the grid at minimal costs. The proposed method, which has been implemented as an automated planning algorithm, determines the cost-optimal grid reinforcement measures that ensure the prevention of prognosticated congestions in the considered grid. Furthermore, the application of the proposed planning method on the considered power system has proven that a combination of BSS and grid expansion could be more economical than an individual application of BSS and grid expansion.
Keywords: grid planning; grid reinforcement; grid expansion; cost-optimal planning; battery; storage; power curtailment; distribution systems; load flow calculation; mixed integer linear programming (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:17:p:5242-:d:620921
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