Research on load transfer strategy optimisation with considering the operation of distributed generations and secondary dispatch

Wei, Jiang; Wu, Lei; Zhang, Lizong; Jiang, Zhengwei

doi:10.1049/iet-gtd.2020.1144

Cited by 8 publications

(6 citation statements)

References 14 publications

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“…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%

“…In [32], a robust optimization model for load recovery was established on the basis of considering wind-power prediction errors, and uncertainty was treated in the way that uncertainty sets are treated. In [33], considering the participation of new energy sources, a secondary scheduling strategy was proposed to improve the degree of load recovery while ensuring the reliability of the power system through three-stage optimization. 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.…”

Section: Introductionmentioning

confidence: 99%

“…In [33], considering the participation of new energy sources, a secondary scheduling strategy was proposed to improve the degree of load recovery while ensuring the reliability of the power system through three-stage optimization. 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.…”

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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Section: Case Analysis Of Wind-power Probability Density Predictionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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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“…With the large-scale development of cities, it will become more difficult to build new distribution lines, and to solve this problem, distributed power can be connected directly on the customer side or close to the customer side [7]. In the case of many remote areas far from the big power grid, it is also possible to connect to the appropriate distributed power supply based on the distribution of the local natural resources, so as to solve the problem of power consumption in remote areas.…”

Section: Introductionmentioning

confidence: 99%

Study on the absorption technology of distribution network with high-proportion distributed power supply

Ding

2023

Applied Mathematics and Nonlinear Sciences

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In order to reduce energy dissipation and alleviate the energy crisis, this paper proposes an absorption mode of distribution network with distributed power supply. First of all, the starting power coefficient and cutting off power coefficient are set to reflect the efficiency of the inverter and obtain the active output power of the photovoltaic system. Then, the Gaussian iterative algorithm is used to calculate the power flow of the distribution network, which forms a model along with the branch switch to complete the variables optimization under the conditions that all power conversion elements are removed from the system and the security constraint is satisfied. Afterwards, through the apparent power of the distribution network node, the single feeder is transformed into two feeders to ensure the fixed voltage at the front end of the line and make the node voltage rise and exceed the limit. Meanwhile, the active power and reactive power are provided for distribution network to reduce the feeders voltage loss, the reasonable regulation measures are used to stabilize the voltage, and the constant power factor and voltage amplitude of the network connection point are added to address voltage over limit and lighten the influence of increasing distributed power on voltage rising. Finally, the size of voltage amplitude is referred to determine the reactive power, so as to realize reasonable absorption of distribution network. The analysis results show that the voltage regulation measures proposed significantly improve the overall absorption capacity of the power supply, with the capacity increased by 0.54MW and 0.2MW respectively.

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“…The use of bi-level optimization simplified the calculation of the target, but the information was needed to be transmitted back and forth between the MMG EMS and the MG EMS, which improved the complexity of system calculation and was easy to cause the problem of information leakage. In addition, Jiang et al (2020) and Qiu et al (2020) carried out the recovery process in stages to reduce the operation cost and load curtailment of MG.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Optimal Scheduling of Multi-Microgrids Considering Renewable Energy Intermittency

Wang

2022

Front. Energy Res.

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Accelerating the penetration of renewable energy (RE) in energy consumption is an important method to realize the promotion of CO2 emission peaking and carbon neutrality. The energy transaction between two microgrids (MGs) makes up for the limitations that a single MG cannot deal well with the intermittence and fluctuation of RE in the real-time scheduling of the system. Multi-microgrids (MMGs) composed of multiple MGs have become an effective supplement to China’s power system. However, extreme weather and natural disasters can easily cause fault shutdown of wind turbines (WTs) and photovoltaics (PVs) in the microgrid (MG). To better balance the flexible load curtailment and satisfaction of MMGs, this paper proposes a coordinated scheduling model for MMGs. This model covers the WT, the PV, the fuel cell (FC), the energy storage system (ESS), and flexible load curtailment. First, the energy management system (EMS) of MMGs collects information on all the distributed generators’ output and three types of loads. The contribution bargaining game is applied to realize the energy transaction between each two MGs. Second, balancing multi-microgrid satisfaction and the profit of each MG is taken as the objective function, and the scheduling strategy of each MG is formulated. Also, an improved optimization method is applied to solve the amount of flexible load curtailment of each MG and realize the reasonable scheduling of MMG in the fault state. In the case study, the superiority of the model and the proposed method has been verified.

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Research on load transfer strategy optimisation with considering the operation of distributed generations and secondary dispatch

Cited by 8 publications

References 14 publications

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

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

Study on the absorption technology of distribution network with high-proportion distributed power supply

Real-Time Optimal Scheduling of Multi-Microgrids Considering Renewable Energy Intermittency

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