Multi-objective Optimization Model of Distribution Network Reconfiguration Considering Soft Open Point

Dai, Bowei

doi:10.1109/ciced56215.2022.9929128

Cited by 5 publications

(2 citation statements)

References 13 publications

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“…However, due to the high cost of SOPs, the number of SOPs installed in the DN may fall short of fulfilling the requirements for DN operation (Hu et al, 2022). Thus, it is important to investigate a collaborative optimization approach of SOPs and NR to enhance the regulatory capability of the DN (Dai, 2022).…”

Section: Introductionmentioning

confidence: 99%

Multi-time-scale voltage control of the distribution network with energy storage equipped soft open points

Ding,

Chen,

et al. 2024

Front. Energy Res.

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The integration of distributed generation (DG) units into distribution networks (DNs) has brought about several operational challenges, including voltage issues and increased power loss. Energy storage equipped soft open points (E-SOPs) can accurately and flexibly control active and reactive power flows to address these problems. Additionally, the photovoltaic (PV) inverter and the network reconfiguration (NR) play a significant role in voltage control by adjusting the reactive power and the topology of the DN, respectively. However, due to differences in response times, there is a lack of systematic coordination between NR and the inverters of the E-SOP and PV. This paper proposes a multi-time-scale voltage control model that includes day-ahead NR scheduling, inter-day droop control optimization of the PV and E-SOP, and real-time local droop control. Considering the uncertainties of renewable DG outputs and loads, a robust optimization method is used in the day-ahead stage to obtain a reliable network structure. Then, with more accurate intra-day predictions, a stochastic optimization method is used to obtain the optimal state-of-charge interval, aiming to provide a flexible regulation range for battery energy storage to cope with the power fluctuations during the real-time stage. In addition, to address the intra-day voltage control model with bilinear constraints of the droop control function, a particle swarm optimization method is used. The results are verified on a 33-bus DN system through comparative analyses, showing effective performance.

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Section: Introductionmentioning

confidence: 99%

Multi-time-scale voltage control of the distribution network with energy storage equipped soft open points

Ding,

Chen,

et al. 2024

Front. Energy Res.

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“…Multi-objective approaches have also been implemented in the reconfiguration problem. In [51], the authors developed an NSGAII approach that minimizes both active power losses and voltage offset of distribution networks. In [52], a multi-objective PSO was proposed to minimize total active power losses and maximize the absorption of renewable DG through a time-varying ODNR.…”

Section: Introductionmentioning

confidence: 99%

Optimal Integration of Distribution Network Reconfiguration and Conductor Selection in Power Distribution Systems via MILP

Gallego Pareja,

López-Lezama,

Gómez Carmona

2023

Energies

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Power distribution systems (PDS) comprise essential electrical components and infrastructure that facilitate the delivery of electrical energy from a power transmission system to end users. Typically, the topology of distribution systems is radial, so that power goes from the substations to end users through main lines or feeders. However, the expansion of new feeders to accommodate new users and ever-growing energy demand have led to higher energy losses and deterioration of the voltage profile. To address these challenges, several solutions have been proposed, including the selection of optimal conductors, allocation of voltage regulators, utilization of capacitor banks, implementation of distributed generation, and optimal reconfiguration. Although reconfiguring the network is the most cost-effective approach, this solution might not be sufficient to completely minimize technical losses and improve system performance. This paper presents a novel approach that combines optimal distribution network reconfiguration (ODNR) with optimal conductor selection (OCS) to minimize power losses and enhance the voltage profiles of PDS. The key contribution lies in the integration of the ODNR and OCS into a single MILP problem, ensuring the attainment of globally optimal solutions. The proposed model was tested with benchmark 33-, 69-, and 85-bus test systems. The results allowed us to conclude that the combined effect of ODNR and OCS presents better results than when any of these approaches are applied either separately or sequentially.

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Reliability Evaluation of Distribution Network with Soft Open Point Considering Line Dynamic Failure Rate and Fault Recovery Optimization

Feng

Huang

Duan

et al. 2023

2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)

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Multi-objective Optimization Model of Distribution Network Reconfiguration Considering Soft Open Point

Cited by 5 publications

References 13 publications

Multi-time-scale voltage control of the distribution network with energy storage equipped soft open points

Multi-time-scale voltage control of the distribution network with energy storage equipped soft open points

Optimal Integration of Distribution Network Reconfiguration and Conductor Selection in Power Distribution Systems via MILP

Reliability Evaluation of Distribution Network with Soft Open Point Considering Line Dynamic Failure Rate and Fault Recovery Optimization

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