New Challenges in Power System Restoration With Large Scale of Dispersed Generation Insertion

Power system restoration has attracted more attention and made great progress recently. Research progress of the power system restoration from 2006 to 2016 is reviewed in this paper, including black-start, network reconfiguration and load restoration. Some emerging methods and key techniques are also discussed in the context of the integration of variable renewable energy and development of the smart grid. There is a long way to go to achieve automatic self-healing in bulk power systems because of its extreme complexity. However, rapidly developing artificial intelligence technology will eventually enable the step-by-step dynamic decision-making based on the situation awareness of supervisory control and data acquisition systems (SCADA) and wide area measurement systems (WAMS) in the near future.

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“…Although there are many new challenges [66,67], some new opportunities exist to restore power systems quickly.…”

Section: Emerging Technologiesmentioning

confidence: 99%

Power system restoration: a literature review from 2006 to 2016

Liu

Fan

Terzija

2016

J. Mod. Power Syst. Clean Energy

228

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“…To do this, different technical, economical and environmental issues have been taken into account such as voltage stability improvement [2], investment deferral in network capacity [3], active loss reduction [4], reliability improvement, network security [5], emission reduction [6], system restoration [7] and load modeling [8]. The reported models for DG planning can be categorized based on four main attributes as follows:…”

Section: Literature Reviewmentioning

confidence: 99%

Hybrid immune-genetic algorithm method for benefit maximisation of distribution network operators and distributed generation owners in a deregulated environment

Soroudi

Ehsan

Caire

et al. 2011

IET Gener. Transm. Distrib.

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In deregulated power systems Distribution Network Operators (DNO) are responsible for maintaining the proper operation and efficiency of distribution networks. This is achieved traditionally through specific investments in network components and by using some optimization methods for reducing the active losses. The event of Distributed Generation (DG) has introduced new challenges to these distribution networks both at the planning and operation stages. The role of Distributed Generation (DG) units must be correctly assessed to optimize the overall operating and investment cost for the whole system. However the Distributed Generation Owners (DGOs) have different objective functions which might be contrary to the objectives of DNO. This paper presents a long-term dynamic multi-objective model for planning of distribution networks regarding the benefits of DNO and DGOs. The proposed model simultaneously optimizes two objectives, namely the benefits of DNO and DGO and determines the optimal schemes of sizing, placement and specially the dynamics (i.e., timing) of investments on distributed generation units and network reinforcements over the planning period. The proposed model also considers the uncertainty of electric load, electricity price and wind turbine power generation using the point estimate method. The effect of benefit sharing is investigated for steering * Corresponding author

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“…However, the operation of DGs simply depends on capability of backup feeders to supply de-energized loads. The study in [10] reveals that the capability of DGs for supply restoration service was investigated and an adapted branch-and-bound algorithm was proposed to maximize the restored loads based on DGs availability. However, service areas of DGs are also decided before the restoration model according to DGs capacity, which may not be the optimal restoration scheme.…”

Section: Introductionmentioning

confidence: 99%

Robust Power Supply Restoration for Self-Healing Active Distribution Networks Considering the Availability of Distributed Generation

et al. 2018

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Abstract:The increasing penetration of distributed generations (DGs) with intermittent and stochastic characteristics into current power distribution networks can lead to increased fault levels and degradation in network protection. As one of the key requirements of active network management (ANM), efficient power supply restoration solution to guarantee network self-healing capability with full consideration of DG uncertainties is demanded. This paper presents a joint power supply restoration through combining the DG local restoration and switcher operation-based restoration to enhance the self-healing capability in active distribution networks considering the availability of distributed generation. The restoration algorithmic solution is designed to be able to carry out power restoration in parallel upon multiple simultaneous faults to maximize the load restoration while additionally minimizing power loss, topology variation and power flow changes due to switcher operations. The performance of the proposed solution is validated based on a 53-bus distribution network with wind power generators through extensive simulation experiments for a range of fault cases and DG scenarios generated based on Heuristic Moment Matching (HMM) method to fully consider the DG randomness. The numerical result in comparison with the existing solutions demonstrates the effectiveness of the proposed power supply restoration solution.

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New Challenges in Power System Restoration With Large Scale of Dispersed Generation Insertion

Cited by 153 publications

References 14 publications

Power system restoration: a literature review from 2006 to 2016

Power system restoration: a literature review from 2006 to 2016

Hybrid immune-genetic algorithm method for benefit maximisation of distribution network operators and distributed generation owners in a deregulated environment

Robust Power Supply Restoration for Self-Healing Active Distribution Networks Considering the Availability of Distributed Generation

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