Abstract
To counterbalance the significant challenges imposed by renewable distributed generations penetration, this paper discusses the need of distributed energy storage system investment in distribution networks and proposes a robust optimization based storage investment model. The operational constraints of distribution network (e.g., voltage profile and substation capacity limitation) and storage device (e.g., state of energy and charging/discharging limit) are considered to guarantee the technical operation requirements. The proposed model is mathematically formulated as a two-stage robust optimization with uncertainty of renewable distributed generator that is quantified by a polyhedral uncertainty set. The investment-decision variables are optimized in the first stage, and the feasibility in the real-time worst-case scenario is checked in the second stage. A column-and-constraint generation (C&CG) algorithm and the big-M linearization method are employed to solve the associated optimization problem. Numerical experiments on IEEE-37-node and IEEE-123-node distribution networks demonstrate the effectiveness of the proposed model.
Original language | English |
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Article number | e12002 |
Journal | International Transactions on Electrical Energy Systems |
Volume | 29 |
Issue number | 7 |
DOIs | |
Publication status | Published - Jul 2019 |
Keywords
- distribution network
- energy storage system
- solar energy
- uncertainty set
- voltage profile
- wind power
ASJC Scopus subject areas
- Modelling and Simulation
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering