A neural network-based adaptive power-sharing strategy for hybrid frame inverters in a microgrid

Deng, Wenyang; Zhang, Yongjun; Tang, Yuan; Li, Qinhao; Yi, Yingqi

doi:10.3389/fenrg.2022.1082948

Cited by 49 publications

(28 citation statements)

References 25 publications

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“…In order to implement the optimization model on a network, it is necessary to have intelligent devices [92][93][94][95][96][97][98]. Smart systems are based on telecommunications equipment [99][100]. These systems use to coordinate of the different power elements [101][102][103].…”

Section: Vpp Constraintsmentioning

confidence: 99%

Network‐constrained unit commitment‐based virtual power plant model in the day‐ahead market according to energy management strategy

Pirouzi

2023

IET Generation Trans & Dist

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Energy management of a virtual power plant (VPP) that consists of wind farm (WF), energy storage systems and a demand response program is discussed in the present study. The introduced strategy is realized at the electrical power transmission level and takes into account the collaboration between VPPs in day‐ahead energy and reserve markets. One notable feature of the proposed strategy is attempting to make the revenue of VPPs close to the operating cost of generating units as much as possible. The objective function is subjected to the network‐constrained unit commitment model, up and down reserve requirements and the proposed VPP constraints. This method is taking into account the uncertainty in system and VPP loads, day‐ahead market energy and reserve price and WF power generation. This strategy is applied as hybrid stochastic‐robust scheduling to the VPP at the electrical power transmission level, where the scenario‐based stochastic programming models the uncertainty of day‐ahead market prices, and the bounded uncertainty‐based robust optimization has been adopted to model the uncertainties related to the load and WF power. Scheme has been tested on IEEE systems. According to the obtained results, the proposed coordination of VPPs in the mentioned markets demonstrates capability of suggested strategy.

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Section: Vpp Constraintsmentioning

confidence: 99%

Network‐constrained unit commitment‐based virtual power plant model in the day‐ahead market according to energy management strategy

Pirouzi

2023

IET Generation Trans & Dist

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“…The paper tests the proposed design on an IEEE 33-bus radial network [117] (refer to Figure 1). This network is a power system [118][119][120][121][122]. The base voltage and power of the network are 12.66 kV and 1 MVA.…”

Section: Problem Datamentioning

confidence: 99%

Energy management of distribution network with inverter‐based renewable virtual power plant considering voltage security index

Azarhooshang,

Rezazadeh

2023

IET Renewable Power Gen

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Virtual power plants (VPP) with resources and storages are able to control the active power of the network. They are also connected to the network through an inverter, which is capable of controlling reactive power. Therefore, it is expected that the optimal use of inverter‐based VPP can play an effective role in improving the economic and technical status of the distribution network. So, the operation of a smart distribution system is presented in this paper by considering inverter‐based VPPs constrained to the operator's measures. The weighted sum of expected energy loss (EEL) and voltage security index (VSI) is minimized while considering AC optimal power flow equations, restrictions of network's security, and operating model of the inverter‐based VPPs. Uncertainties with an origin of the amount of demand, renewable energy, and parameters of mobile energy storage are also discussed. The uncertainties are modelled using a stochastic optimization approach relying on the unscented transformation (UT). Evaluating inverter‐based VPP performance, providing models of flexible resources such as responsive loads and mobile storages, checking network voltage security status, and modelling uncertainties using the UT method are among the innovations of this study. According to the results, it is demonstrated that the technical situation of the distribution system is improved with the help of optimal management of the VPP. With energy management of the inverter‐based VPP, the suggested design has succeeded to enhance the operating status (voltage security) of the system by approximately 33–73% (12%) in comparison to power flow studies.

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“…A capacitive coupling inverter (CCI) is connected to the AC bus through an inductor and capacitor (LC) series coupling structure and has a wider reactive power regulation range compared to conventional inverters; it has a higher voltage regulation accuracy compared to reactive power compensators and is more adaptable to fast regulation requirements [7,8]. It has been demonstrated in the literature that distributed generation (DG) units with CCI will have stronger bus voltage regulation and reactive power output capability at a lower cost [9,10]. In summary, from the perspective of power flow control, benefit from the series capacitance in the coupling frame, the dynamic reactive power compensation range of CCIs is larger than that of the traditional coupling inverters, and it is more conducive to the coordinative control of active and reactive power.…”

Section: Introductionmentioning

confidence: 99%

Multi‐layer and timescale optimal power flow control in capacitive coupling inverter‐based microgrids

Zhang,

Chen,

Deng

et al. 2024

IET Renewable Power Gen

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Compared with the traditional solution, the microgrid (MG) employed capacitive coupling inverters (CCIs) with higher reactive power capacity can effectively reduce the probability of low voltage. However, because of the special coupling structure, different power flow control methods will greatly affect the cost and operation efficiency of the CCI. A multi‐layer and timescale optimal power flow control considering inverter‐layer is therefore proposed in this paper. Firstly, the power output characteristics of CCI are analyzed, and the power flow control model of CCI with an energy storage unit is established. Secondly, an optimal control method on different timescales was proposed. By coordinating the active power output and the reserved charging state margin of the energy storage unit, the CCI‐MG reactive power regulation with the most economical and minimum loss was realized, so as to achieve long‐term voltage stability and dynamic satisfaction of load demands. Furthermore, the optimal power flow control of CCI is proposed. The simulation results show that the proposed method can effectively realize the optimal control of active and reactive power of MG, and also improve the voltage stability of AC bus under the economical operation of CCI.

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A neural network-based adaptive power-sharing strategy for hybrid frame inverters in a microgrid

Cited by 49 publications

References 25 publications

Network‐constrained unit commitment‐based virtual power plant model in the day‐ahead market according to energy management strategy

Network‐constrained unit commitment‐based virtual power plant model in the day‐ahead market according to energy management strategy

Energy management of distribution network with inverter‐based renewable virtual power plant considering voltage security index

Multi‐layer and timescale optimal power flow control in capacitive coupling inverter‐based microgrids

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