Impact of battery energy storage, controllable load and network reconfiguration on contemporary distribution network under uncertain environment

Sharma, Sachin; Niazi, K. R.; Verma, Kusum; Rawat, Tanuj

doi:10.1049/iet-gtd.2020.0369

Cited by 18 publications

(7 citation statements)

References 33 publications

(40 reference statements)

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“…Conventional uncertainty optimization method, robust optimization [11]- [12] and distributional robust optimization [13]- [14] are used to deal with the uncertainty of EV and DG. An improved water evaporation optimization algorithm has been proposed in [15] to solve the multi-constraint optimization problem of coordination of DGs, battery energy storage systems and network reconfiguration. Reference [16] proposes an optimization strategy for network reconfiguration considering the centralized EV charging stations as the black-start power sources.…”

Section: ) (Corresponding Author: Wei Tang)mentioning

confidence: 99%

Coordinated Optimization of Emergency Power Vehicles and Distribution Network Reconfiguration Considering the Uncertain Restoration Capability of E-Taxis

Zhang

Jiang

Zhang³

et al. 2022

IEEE Trans. on Ind. Applicat.

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Network reconfiguration and emergency power vehicles (EPVs) dispatching are widely used in distribution networks for load restoration. However, their capabilities are limited by the allocated amounts of circuit breakers and EPVs. Etaxis can also participate in the restoration as a kind of mobile energy storage using the vehicle to grid (V2G) technology. However, the uncertainty of E-taxis should be considered in the restoration. To achieve better effectiveness of the restoration and fully utilize the capability of network reconfiguration, EPVs and E-taxis, this paper proposes a coordinated restoration optimization method considering the uncertain restoration capabilities of discharging stations with E-taxis. A joint probability distribution function is established based on Gaussian Mixture Model to describe the uncertainty of station discharging capabilities considering the correlation of user rationality, taxi state-of-charge and transportation status. Then, a bi-level programming model embedded with the chance constraint programming is developed to optimize the coordinated dynamic restoration scheme of the network reconfiguration and EPV dispatching, with the consideration of the mobility of EPVs during the restoration. Simulations studies are performed to verify the proposed method.

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Section: ) (Corresponding Author: Wei Tang)mentioning

confidence: 99%

Coordinated Optimization of Emergency Power Vehicles and Distribution Network Reconfiguration Considering the Uncertain Restoration Capability of E-Taxis

Zhang

Jiang

Zhang³

et al. 2022

IEEE Trans. on Ind. Applicat.

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“…On September 22, 2020, at the seventy-fifth session of the United Nations General Assembly, it was announced that China would strive to peak its carbon dioxide emissions before 2030 and strive to achieve carbon neutrality by 2060 [1][2][3].With the large-scale grid-connection of renewable, the power system will present the characteristics of "double high", that is, high proportion of renewable and high proportion of power electronic equipment access, which will make the new type of power grid show different characteristics from the traditional power grid in fault characteristics and power flow distribution, and bring new challenges to relay protection and automatic control devices [4]. In order to deeply grasp the double carbon target and the construction idea of the new type of power system, and to ensure the safe and stable operation of the power grid after the large-scale grid-connection of renewable, it is necessary to carry out early layout, comprehensive investigation, and targeted analysis of the impact of large-scale access of renewable on relay protection [5][6].…”

Section: Introductionmentioning

confidence: 99%

Research on the impact of large-scale renewable energy power generation on relay protection

Xu,

Ao,

Yan

et al. 2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

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The integration of large-scale distributed renewable energy into the power system will bring new challenges to the relay protection of the power system, which is a key issue in the transformation of new power systems. This article analyses the impact of renewable energy on relay protection, focusing on the construction goals and current situation of the new power system, and analyses the influencing factors on protection from four aspects: power generation, transmission, distribution, and energy storage. On this basis, a typical case of on-site protection malfunction is introduced and analysed, and the protective measures for renewable energy access is delivered.

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“…One of the most important indicators for improving resilience is reducing system load shedding. Therefore, changing the structure of the distribution network and adding up-to-date technologies according to the existing conditions can lead to the improvement in the overall performance of the system (Sharma et al, 2020;Shi et al, 2022;Sui et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Reconfiguration and displacement of DG and EVs in distribution networks using a hybrid GA–SFLA multi-objective optimization algorithm

Ghadi,

Kotb,

Aboras

et al. 2023

Front. Energy Res.

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A combined algorithm for reconfiguring and placement of energy storage systems, electric vehicles, and distributed generation (DG) in a distribution network is presented in this paper. The impact of this technique on increasing the network’s resilience during critical periods is investigated, as well as improvements in the network’s technical and economic characteristics. The three objective functions in this regard are the network losses, voltage profile, and running costs, which include the costs of purchasing electrical energy from the upstream network and the devices used, as well as the cost of load shedding. In addition, the impacts of the presence of DG on power flow and the modeling of the problem’s objective function are examined. To solve the problem of reconfiguration and placement of a multi-objective distribution feeder, a genetic algorithm (GA) and shuffled frog leaping algorithm (SFLA) hybrid algorithm is used. The proposed GA–SFLA algorithm is used to solve the problem with changes in its structure and its combination in three stages. Finally, the proposed method is implemented on the 33-bus distribution network. The simulation results show that the proposed method has an effective performance in improving the considered objective functions and by establishing a suitable fit between the different objective functions based on the three-dimensional Pareto front. Moreover, it introduced a more optimized architecture with lower loss, lower operating costs, and greater reliability compared to other optimization algorithms.

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Impact of battery energy storage, controllable load and network reconfiguration on contemporary distribution network under uncertain environment

Cited by 18 publications

References 33 publications

Coordinated Optimization of Emergency Power Vehicles and Distribution Network Reconfiguration Considering the Uncertain Restoration Capability of E-Taxis

Coordinated Optimization of Emergency Power Vehicles and Distribution Network Reconfiguration Considering the Uncertain Restoration Capability of E-Taxis

Research on the impact of large-scale renewable energy power generation on relay protection

Reconfiguration and displacement of DG and EVs in distribution networks using a hybrid GA–SFLA multi-objective optimization algorithm

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