Bi‐level service restoration strategy for active distribution system considering different types of energy supply sources

Li, Zhenkun; Khrebtova, Tetiana; Zhao, Nan; Zhang, Zhiquan; Fu, Yang

doi:10.1049/iet-gtd.2020.0047

Cited by 6 publications

(7 citation statements)

References 31 publications

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“…As the penetration rate of renewable energy in distribution networks continuously increases, while the energy storage devices can reduce the output fluctuations of distributed power sources, there is an important research value in cooperating the energy storage devices with the distributed generations when participating in the load restoration of distribution networks. In this context, a new bi‐level optimization model for load restoration of active distribution networks considering the distributed generation and energy storage system was proposed in [52], whose target was to minimize the load restoration costs and maximize the number of blackout customers during the restoration process.…”

Section: Key Technologies For Power System Load Restorationmentioning

confidence: 99%

Review of restoration technology for renewable‐dominated electric power systems

Chen

Liang

Zhai

et al. 2022

Energy Conversion and Econom

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With the rapid development of renewable energy generation and multi‐energy system technologies, reviewing and discussing the emerging power system restoration methods and key technologies suitable for renewable‐dominated electric power systems and the Energy Internet are important. Based on this, the backgrounds of renewable‐dominated electric power systems and the Energy Internet are first introduced here. Subsequently, the power system restoration process is divided into three phases: the black‐start, network reconfiguration, and the load restoration phases; relative restoration strategy research on these three phases is reviewed. Moreover, the boundaries between these three phases are occasionally not sufficiently apparent or even cross in most cases owing to the severity of blackouts and other various factors. Therefore, the key technologies for power system restoration considering multiple phases are analysed in detail. Moreover, the major gaps between existing research and real‐world applications and the outlooks on the restoration technologies under renewable‐dominated electric power systems are discussed.

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Section: Key Technologies For Power System Load Restorationmentioning

confidence: 99%

Review of restoration technology for renewable‐dominated electric power systems

Chen

Liang

Zhai

et al. 2022

Energy Conversion and Econom

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“…The solution result is conservative System-recovery process Three-stage load recovery [34] Improve overall load recovery rate…”

Section: It Is Difficult To Obtain the Distribution Information Of Al...mentioning

confidence: 99%

“…The rated capacity of the wind farm is 150 MW, the data sampling interval is 10 min, and a total of 4464 pieces of data are used, as shown in Figure 4. Use Equation (33) to standardize the data and use Equation (34) to calculate the proportion of the sum of the attributes of each solution in the population. Finally, use Equation (35) to select the solution with the largest proportion of the population as the optimal solution.…”

Section: Case Analysis Of Wind-power Probability Density Predictionmentioning

confidence: 99%

“…The authors of [33] analyzed the system recovery of energy storage and distributed power supply in a distribution network and proposed a two-level optimal recovery strategy considering the power supply modes of different power sources; this study had the objective of minimizing costs in the recovery process and restoring the largest possible number of power supply users. The authors of [34][35][36] analyzed the impact of a DC system and a wind power connection on system recovery in an AC/DC hybrid power system; they established a loadrecovery model considering source load uncertainty which effectively balanced safety and stability in recovery, and ensured the coordination and optimization of DC transmission power and the safe access of load. Considering the problem of line overload in system recovery caused by large-scale access to wind power, the authors of [37] eliminated line overload through ring network reconstruction by building a regional ring network in which the wind-power output was scenario based; the upper layer of the optimization model, with minimum operation complexity, and the lower layer of the model, with the constraint of the angle to be paralleled and closed, were established, and the effectiveness of the model was verified.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Regulation of Parallel Closing Angle of Power System Loop Network Considering Wind–Wave Dynamics

et al. 2022

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The shortage of fossil fuels has led to increasing attention on new energy technologies, such as wind power and photovoltaic energy technologies, and the volatility of new energy has become the biggest obstacle for its participation in the process of power-system restoration. This paper presents an optimal control method of the parallel closing angle of the loop network in the process of power system recovery considering the uncertainty of wind-power output. Firstly, based on solving the uncertainty of wind-power output, a probability-prediction model of wind-power output based on the quantile regression of long-term and short-term memory networks (LSTMs) is established. Based on predicting the future wind-power output interval, the probability density function of the output at each time point in the future is obtained by a kernel density estimation. Secondly, by adjusting the output of conventional units and restoring the feeder load, a multiobjective optimal-control model is established to minimize the output change of conventional units and restore the most important feeder load. Based on considering the output probability of new energy, the optimal control of the phase angle difference at both ends of the line to be paralleled is realized, and the multiobjective optimization algorithm is used to solve the established model. Finally, the effectiveness of the proposed method and model is verified by IEEE 39-bus system simulation.

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“…There are still few research studies on island partition considering the operation of ES. A power supply restoration strategy for active DN under the fault state is proposed in the reference (Li et al, 2020). DN topology reconfiguration, island operation of DG, the support function of transportable energy storage, and other factors are considered in the model to minimize relevant costs.…”

Section: Introductionmentioning

confidence: 99%

A united credible capacity evaluation method of distributed generation and energy storage based on active island operation

Chen

Sun²,

Zhou³

et al. 2023

Front. Energy Res.

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Cooperating with distributed energy storage, distributed generation is with the potential of supply load stably under both normal and failure periods of distribution network. Therefore, distributed generation has not only electricity value, but also capacity value. The capacity value can be characterized by credible capacity index. However, the uncertainty of the distributed generation output and the sequential characteristics of energy-storage operation must be considered during a united credible capacity evaluation. A united credible capacity evaluation method of distributed generation and energy storage based on active island operation is proposed. The proposed method carries out day-ahead economic dispatching under a normal state and island partition under a fault state, alternately, to realize accurate reliability calculation, which is the key link of credible capacity searching. The main work is as follows. First, a day-ahead economic dispatching model under normal state is established to obtain the sequential remaining electricity information of energy storage. Second, the models of maximum island partition and optimal island rectification are established based on electricity sufficiency and power balance information. By solving the maximum island partition and optimal island rectification models alternately, optimal island partition schemes under the fault state could be achieved. Then, the convergence criterion based on variance coefficients instead of artificial selection is designed in reliability calculation. Finally, the united credible capacity of distributed generation and energy storage is evaluated in the PG&E 69-bus system. It is found that credible capacity value increases by 23%, 53%, and 61%, respectively, under the energy storage allocation ratios of 20%, 30%, and 40%. It can be seen that the integration of energy storage makes a significant impact on distributed generation credible capacity value.

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Bi‐level service restoration strategy for active distribution system considering different types of energy supply sources

Cited by 6 publications

References 31 publications

Review of restoration technology for renewable‐dominated electric power systems

Review of restoration technology for renewable‐dominated electric power systems

Optimal Regulation of Parallel Closing Angle of Power System Loop Network Considering Wind–Wave Dynamics

A united credible capacity evaluation method of distributed generation and energy storage based on active island operation

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