A Method for the Realization of an Interruption Generator Based on Voltage Source Converters

Li, Junhui; Zhang, Tianyang; Qi, Lei; Yan, Gangfeng

doi:10.3390/en10101642

Cited by 7 publications

(7 citation statements)

References 20 publications

(25 reference statements)

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“…When the ACE is negative, that is, the ESS needs to charge. Considering the SOC, the adjusted charging power is determined in the formula (2).…”

Section: Rules For Adaptively Adjusting Output Of Essmentioning

confidence: 99%

Research on the control strategy of energy storage participation in power system frequency regulation

Gao

et al. 2020

Int Trans Electr Energ Syst

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Large-scale wind power integrated the power system may result in a challenge for frequency regulation because of the variable nature of wind. Energy storage system (ESS) is an effective measure against the challenge of frequency regulation caused by wind power. Aiming to solve the problem that the response time of traditional turbines can hardly meet frequency regulation demand, this article proposes a strategy for ESS which can adaptively adjust the output coefficient of ESS according its state of charge (SOC). And the relationship between the frequency regulation effect and the size of ESS is established. Firstly, the reference power of ESS is obtained based on fuzzy theory. Secondly, the principle of giving priority to ESS is adopted, and the actual output is determined according to the SOC. Finally, the output of the thermal power unit is determined based on the penalty power of ESS. The case analyzed shows that the proposed strategy has a significant effect on the improvement of the frequency deviation and the CPS1, and the maintenance of SOC. Moreover, it is shown that the 100 MW/50 MWh ESS can increase the CPS1 index by 57.1% in response to the AGC frequency regulation.

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“…When the ACE is negative, that is, the ESS needs to charge. Considering the SOC, the adjusted charging power is determined in the formula (2).…”

Section: Rules For Adaptively Adjusting Output Of Essmentioning

confidence: 99%

Research on the control strategy of energy storage participation in power system frequency regulation

Gao

et al. 2020

Int Trans Electr Energ Syst

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“…The PV-BESS is mainly composed of PV generation system, ES. Among them, the PV generation system is consisted of N PV units, and a single PV unit is connected to the houseservice bus through an inverter to provide power for the load [32]. The PV-BESS is formed by disposing the ES at the bus of the PV power station.…”

Section: B Structure Of Pv-bessmentioning

confidence: 99%

Stratified Optimization Strategy Used for Restoration With Photovoltaic-Battery Energy Storage Systems as Black-Start Resources

You

et al. 2019

IEEE Access

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With the rapid growth of installed capacity of photovoltaic (PV), the PV power stations equipped with energy storage (ES) have become a new type of black-start power supply. Taking the Photovoltaic-Battery Energy Storage Systems (PV-BESS) as the black-start power source can improve the black-start ability of the regional power grid and broaden the application prospect of PV power generation. In this paper, a stratified optimization strategy for black-start of PV-BESS is proposed, which combines the key issues in the process of black-start of PV-BESS. Stratified optimization strategy is divided into data analysis layer, optimization coordination layer and scheduling control layer. The data analysis layer combines the requirements of the black-start process. Firstly, the similarity matrix ranking method is used to improve the PV power prediction method. Secondly, based on probability inclination, the PV power index is designed to evaluate the feasibility of black-start by calculating the PV lower limit power and the executable probability inclination. The optimization coordination layer is based on the state space model of blackstart of PV-BESS, combined with the control strategy of PV as the main part and ES as the auxiliary part, the optimization objectives of the maximum utilization rate of PV and tracking the ideal value of state of charge (SOC) of ES is formulated. The optimal model is solved by model predictive control, and the output power of PV and ES is controlled to complete the black-start process. The actual historical data in the power grid with a high proportion of PV sources are used as the basic data for simulation. The simulation of black-start based on MATLAB/Simulink verifies the rationality of the stratified optimization strategy, which provides a reference for the realization of black-start of PV-BESS.

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“…So, the correctness of SOFM solving the obscure and intermixed nonlinear distribution information is verified. 4,7,10,11,12,14,19,21,22,26,27,28,29,30,31,35,42,43,46,48,50,51,53,54 Third class 5,6,8,9,15,16,29,36,37,39,40,41,42,42,44,51,52,53,54,56 As shown in Figures 9 and 10, 19 turbines are selected as first class turbines by the SOFM algorithm. The following is the correlation analysis based on the eigenvalues.…”

Section: Turbines With Energy Storagementioning

confidence: 99%

“…Table 3 shows the difference between the SOFM algorithm and the traditional empirical formula. The traditional empirical formula determined the classification of units according to the size of C p , which can be calculated by the Equation 10: 2,7,11,17,18,19,21,22,23,24,31,33,34,38,45,47,48,57,58 Third class 3,4,7,10,11,12,14,19,21,22,26,27,28,29,30,31,35,42,43,46,48,50,51,53,54 Third class 5,6,8,9,15,16,…”

Section: Turbines With Energy Storagementioning

confidence: 99%

“…Moreover, the energy storage capacity of a WPP with an ESS is proposed in [24], which configure the storage power station based on maximum power fluctuation of initial restoration system at WPP access point. Additionally, the related literatures have studied the key technologies of the charging control strategy of transformer [25], the charge and discharge characteristic of an ESS [26], the cooperative frequency control [27,28], the optimal configuration of energy storage [29], the reactive voltage control [30,31], the optimal allocation of output transmission capacity and energy storage capacity of WPP [32,33], and the specific battery modeling technology [34].…”

Section: Introductionmentioning

confidence: 99%

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Method for the Energy Storage Configuration of Wind Power Plants with Energy Storage Systems used for Black-Start

Zhang

et al. 2018

Energies

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With the increasing participation of wind generation in the power system, a wind power plant (WPP) with an energy storage system (ESS) has become one of the options available for a black-start power source. In this article, a method for the energy storage configuration used for black-start is proposed. First, the energy storage capacity for starting a single turbine was determined. Then, a hierarchical planning model was established. This model did not consider the starting efficiency of the WPP, but it did consider the layout of the energy storage in the WPP and the balance of the terminal voltage when starting the WPP. Finally, the feasibility and value of the proposed method and model were verified in a 49.5 MW WPP with an ESS (a power rating of 2.24 MW and energy capacity of about 1.68 MWh). The result suggests that configuring an ESS with a small capacity on the side of the turbine can achieve black-start for a WPP with an ESS as the power source.

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A Method for the Realization of an Interruption Generator Based on Voltage Source Converters

Cited by 7 publications

References 20 publications

Research on the control strategy of energy storage participation in power system frequency regulation

Research on the control strategy of energy storage participation in power system frequency regulation

Stratified Optimization Strategy Used for Restoration With Photovoltaic-Battery Energy Storage Systems as Black-Start Resources

Method for the Energy Storage Configuration of Wind Power Plants with Energy Storage Systems used for Black-Start

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