Bi‐level optimisation dispatch method for photovoltaic hosting capacity enhancement of distribution buses

Wang, Hongkun; Wang, Shouxiang; Zhao, Qida; Wang, Jianfeng

doi:10.1049/iet-gtd.2019.0562

Cited by 8 publications

(9 citation statements)

References 43 publications

(50 reference statements)

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“…In the (Z = 0) plane at node 2, it can be observed that due to the change in the DCOHC in the presence of controller in the network, the amount of power that can be injected into the system is changing. If power injection is kept constant throughout as shown in (Z = 1) plane, the network is underutilized (7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25) seconds, where DCOHC is more than the PV injection for most of the nodes. On (Z = 0) plane, at node 25, the injection plot has several troughs of around 1 second duration, which shows that at those instances, the injection must be lowered down.…”

Section: Case 3: Considering Both Source and Load Dynamics Under Bala...mentioning

confidence: 99%

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Operational hosting capacity‐based sustainable energy management and enhancement

Sahu

Ghosh

2021

Intl J of Energy Research

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Section: Case 3: Considering Both Source and Load Dynamics Under Bala...mentioning

confidence: 99%

“…The authors in Ref. 24 proposed a two-level optimization for increasing the HC of the network, with voltage and current as main technical constraints. This article also justified the importance of the research in case of reinforcement-based HC improvement.…”

Section: Introductionmentioning

confidence: 99%

Operational hosting capacity‐based sustainable energy management and enhancement

Sahu

Ghosh

2021

Intl J of Energy Research

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“…A linear two stage stochastic programming was elaborated in [20] to optimize energy efficiency and hosting capacity through the ANM schemes. In addition, considering the interests of distribution network operators and photovoltaic owners, a bi-level optimization dispatch method was proposed in [21] for increasing the economic and technological photovoltaic hosting capacity. In summary, most of these works focus on the development of different technologies or control schemes to enhance the hosting capacity of distribution network under deterministic or stochastic framework.…”

Section: A Background and Motivationmentioning

confidence: 99%

“…Equation (20) and (21) are two subobjectives representing the total WT installed capacity and voltage deviation, respectively. Moreover, the specific formulations of voltage deviation are shown in (22) and (23).…”

Section: A Objective Functionmentioning

confidence: 99%

Enhancing Hosting Capacity of Uncertain and Correlated Wind Power in Distribution Network With ANM Strategies

Xiao

Qiao

et al. 2020

IEEE Access

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To settle the large-scale integration of wind power, it is necessary to enhance the wind power hosting capacity of distribution network. To this end, this paper proposes a stochastic mixed-integer linear programming (MILP) model to enhance the hosting capacity of distribution network with active network management (ANM) strategies. The considered ANM strategies include power factor control, reactive power compensation and network reconfiguration. The coordination of these strategies enables the distribution network to accommodate more wind power without violating its constraints. The proposed model relaxes the original nonlinear power flow equations into linear format, so that a near optimal solution can be obtained with moderate computational burden. The wind power and load demand are inherently variable due to the influence of various factors. Moreover, the output powers of multiple wind turbines (WTs) located at adjacent sites of a wind farm are spatially correlated. To represent the uncertain loads, the roulette wheel mechanism is used to generate the load samples. In addition, a combined method of inverse transformation and Nataf transformation is established to deal with the uncertain and correlated wind power. Then, scenario combination and reduction are conducted to generate representative scenarios. Finally, the feasibility and accuracy of the proposed method are verified via numerical tests on the modified IEEE 33bus test system.

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“…The above-discussed literature has been implemented at distribution networks with various DERs, which ensures lower voltage fluctuations, lower power flow losses, optimal power flow, lowered stress at transformers, etc. However, compared to more realistic scenarios, the literature mentioned above possesses multiple limitations; (a) Although some studies calculate the HC of IEEE 123 bus network [30]- [33], most studies on the integration of DERs only deal with radial networks, such as the IEEE 33 bus and the IEEE 69 bus networks and don't consider meshed distribution networks. (b) These studies have considered the smaller size of the DERs; the impact of the larger size of the DERs is not considered.…”

Section: Introductionmentioning

confidence: 99%

An Enhanced Approach for Solar PV Hosting Capacity Analysis in Distribution Networks

Abideen

Ellabban²,

Ahmad

et al. 2022

IEEE Access

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With the falling cost of Distributed Energy Resources (DERs) and the shift from fossil fuel to renewable energy in many countries, the integration of DERs is expected to grow. This can lead to a wide range of problems in the power system, such as voltage violations, overloading of distribution lines, reverse power flow, etc. Therefore, it is imperative to account for these adverse effects of the integration of DERs on the distribution network and minimize their impact when calculating the Hosting Capacity (HC). Two algorithms are presented in this study derived from a novel modified iterative method and a novel Repeated Particle Swarm Optimization (RPSO) method for determining the HC for multiple DER units simultaneously or a single DER unit integrating into radial or mesh networks. These algorithms calculate the optimal HC based on six scenarios of annual load and DER generation profiles. The developed algorithms were tested on the IEEE 123 bus network, and their results were compared. For a large-scale DER case, the modified iterative method significantly outperforms both the PSO and the normal iterative method in terms of computation time (30 minutes versus 3 hours versus 6 hours, respectively). In the case of multiple DERs, the RPSO method is the only option, as the other two methods cannot simultaneously optimize multiple DERs. As a result, it has been concluded that it is necessary to select HC calculation methods carefully and in accordance with the application, as each method has its own strengths and weaknesses.

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Bi‐level optimisation dispatch method for photovoltaic hosting capacity enhancement of distribution buses

Cited by 8 publications

References 43 publications

Operational hosting capacity‐based sustainable energy management and enhancement

Operational hosting capacity‐based sustainable energy management and enhancement

Enhancing Hosting Capacity of Uncertain and Correlated Wind Power in Distribution Network With ANM Strategies

An Enhanced Approach for Solar PV Hosting Capacity Analysis in Distribution Networks

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