Optimal Day-Ahead Operation Considering Power Quality for Active Distribution Networks

Tan, Yi, Cao, Yijia, Li, Yong, Lee, Kwang Y, Jiang, Lin ORCID: 0000-0001-6531-2791 and Li, Shuaihu (2017) Optimal Day-Ahead Operation Considering Power Quality for Active Distribution Networks. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 14 (2). pp. 425-436.

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Abstract

Battery energy storage (BES) and distributed generation (DG) play an important role in active distribution networks. However, harmonic problems could be caused by the inverters in BES and DG, resulting in a poor power quality (PQ). In addition, ensuring acceptable voltage unbalance level is also another crucial PQ issue in distribution networks. Therefore, in this paper, an optimal distribution network operational model (ODNOM) is proposed to consider PQ problems caused by BES and DG. In this model, additional network power losses due to harmonics are considered into the objective function, and the harmonic constraints and voltage unbalance constraints are also taken into account. The particle swarm optimization is used to solve the proposed ODNOM. The simulations on the IEEE 13-bus, IEEE 37-bus, and IEEE 123-bus systems show that a satisfactory PQ can be achieved by the proposed approach while optimizing the total branch active power losses.

Item Type:	Article
Uncontrolled Keywords:	Active distribution networks, battery energy storage (BES), day-ahead operation, distributed generation (DG), power quality (PQ)
Depositing User:	Symplectic Admin
Date Deposited:	09 May 2017 06:23
Last Modified:	15 Mar 2024 04:55
DOI:	10.1109/TASE.2016.2629477
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3007298