An enhanced SOCP-based method for feeder load balancing using the multi-terminal soft open point in active distribution networks

Ji, Haoran; Wang, Chengshan; Li, Peng; Zhao, Jianli; Song, Guanyu; Ding, Fei; Wu, Jianzhong

doi:10.1016/j.apenergy.2017.09.051

Cited by 116 publications

(61 citation statements)

References 33 publications

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“…A framework for optimal installation of SOP is proposed by Konstantelos et al, 21 which considers the challenges that occurred because of the integration of DGs. In Ji et al, 23 another method is proposed for feeder load balancing using the multi-terminal SOPs. In Ji et al, 23 another method is proposed for feeder load balancing using the multi-terminal SOPs.…”

Section: Discussionmentioning

confidence: 99%

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E‐SOP's contribution in a techno‐economic and clean operation of distribution networks: A multi‐objective optimization approach based on linear models

Baghban-Novin

Hamidi

Golshannavaz

et al. 2019

Int Trans Electr Energ Syst

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Summary In modern distribution networks (DNs), soft open points (SOPs) are newly introduced power electronic devices that are installed between the adjacent feeders in place of normally open points. The SOPs contribute in Volt/VAr control by accurately adjusting the active power flow and supporting the reactive power from both AC sides. A further step forward alludes to energy storage–integrated SOPs, referred to as E‐SOP, which could significantly influence the active power exchanges through charge/discharge actions in appropriate time intervals, say as the hours with high‐ and low‐price electricity tariffs. Accordingly, E‐SOPs provide a unique opportunity in effective active power control and also Volt/VAr control in the presence of distributed generations (DGs) and renewables. This study proposes a model for day‐ahead operation scheduling of DNs with high penetration of DGs and photovoltaic (PV) considering the installations of E‐SOPs. An accurate linearized model is developed to consider the technical performance of E‐SOP in power flow study. Voltage security, economic, and network emission indices are accounted as a concern of the network operator. To this end, a multi‐objective optimization model is developed based on mixed‐integer linear programming being tackled by an augmented ε‐constraint method. For assessing the effectiveness of the developed model, it is simulated on the IEEE 33‐node test system; however, the IEEE 119‐node test system is also tailored to assess the scalability issues. The obtained results are mainly represented in terms of smart charge/discharge and effective VAr support of E‐SOPs, reduced operation cost, improved voltage profile, and a reduced emission level.

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Section: Discussionmentioning

confidence: 99%

“…A coordinated control method of voltage and reactive power control for active DNs is proposed by Li et al, 22 which is based on SOPs. In Ji et al, 23 another method is proposed for feeder load balancing using the multi-terminal SOPs.…”

Section: Discussionmentioning

confidence: 99%

E‐SOP's contribution in a techno‐economic and clean operation of distribution networks: A multi‐objective optimization approach based on linear models

Baghban-Novin

Hamidi

Golshannavaz

et al. 2019

Int Trans Electr Energ Syst

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“…From this study, it was highly recommended to optimal size and site SOPs and renewable DGs for better ESS planning. Table 1 presents an overview of research works that have addressed SOPs design and operation [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34].…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal Network Reconfiguration in Active Distribution Networks with Soft Open Points and Distributed Generation

et al. 2019

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In this study, we allocated soft open points (SOPs) and distributed generation (DG) units simultaneously with and without network reconfiguration (NR), and investigate the contribution of SOP losses to the total active losses, as well as the effect of increasing the number of SOPs connected to distribution systems under different loading conditions. A recent meta-heuristic optimization algorithm called the discrete-continuous hyper-spherical search algorithm is used to solve the mixed-integer nonlinear problem of SOPs and DGs allocation, along with new NR methodology to obtain radial configurations in an efficient manner without the possibility of getting trapped in local minima. Further, multi-scenario studies are conducted on an IEEE 33-node balanced benchmark distribution system and an 83-node balanced distribution system from a power company in Taiwan. The contributions of SOP losses to the total active losses, as well as the effect of increasing the number of SOPs connected to the system, are investigated to determine the real benefits gained from their allocation. It was clear from the results obtained that simultaneous NR, SOP, and DG allocation into a distribution system creates a hybrid configuration that merges the benefits offered by radial distribution systems and mitigates drawbacks related to losses, power quality, and voltage violations, while offering a far more efficient and optimal network operation. Also, it was found that the contribution of the internal loss of SOPs to the total loss for different numbers of installed SOPs is not dependent on the number of SOPs and that loss minimization is not always guaranteed by installing more SOPs or DGs along with NR. One of the findings of the paper demonstrates that NR with optimizing tie-lines could reduce active losses considerably. The results obtained also validate, with proper justifications, that SOPs installed for the management of constraints in LV feeders could further reduce losses and efficiently address issues related to voltage violations and network losses.

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“…The ADN operation model that optimizes DCRs usually aims at minimizing the cost of active power losses [21][22] . The feeder load unbalance is mitigated by optimizing a multi-terminal SOP-based model of ADN in [23]. For the ADN with microgrids, the energy management model needs to balance the economic benefits of distribution networks and microgrids [24] .…”

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confidence: 99%

Two-Stage Hierarchical Congestion Management Method for Active Distribution Networks With Multi-Type Distributed Energy Resources

Luo

Cong

et al. 2020

IEEE Access

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More and more distributed energy resources (DERs) are being integrated into the distribution networks raising the new concerns of secure and economic operations. Some traditional distribution networks are upgraded to active distribution networks (ADNs) which can communicate with and control the DERs. A microgrid connected to an ADN can be coordinated with the ADN. In this paper, a two-stage hierarchical congestion management mechanism is proposed for an ADN connected with multi-type DERs and microgrids. At the first stage, a hierarchical optimization model is built considering the dispatch of direct control resources (DCRs) and microgrids. An analytical target cascading (ATC) method is employed to optimize the microgrid autonomy model and the ADN optimization model simultaneously. A second stage optimization is designed to deal with the case when the control of DCRs and microgrids is not enough to completely eliminate the congestion. A congestion management model calling for the ancillary services provided by DERs is established, with an objective of minimizing the operational cost of distribution system operator (DSO). Case studies are carried out on modified IEEE 33 and PG&E 69 bus systems. The simulation results show that the proposed method can balance the interests of different stakeholders and eliminate the network congestion efficiently. Wireless communication ... Flexible load control teminal Wireless communication DG and distributed energy storage control terminal Wireless communication ...

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An enhanced SOCP-based method for feeder load balancing using the multi-terminal soft open point in active distribution networks

Cited by 116 publications

References 33 publications

E‐SOP's contribution in a techno‐economic and clean operation of distribution networks: A multi‐objective optimization approach based on linear models

E‐SOP's contribution in a techno‐economic and clean operation of distribution networks: A multi‐objective optimization approach based on linear models

Optimal Network Reconfiguration in Active Distribution Networks with Soft Open Points and Distributed Generation

Two-Stage Hierarchical Congestion Management Method for Active Distribution Networks With Multi-Type Distributed Energy Resources

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