Improved Flux Weakening Control Strategy for Five-Phase PMSM Considering Harmonic Voltage Vectors

Liu, Senyi; Liu, Chunhua; Hong, Zhao; Liu, Yuxin; Dong, Zhiping

doi:10.1109/tpel.2022.3164047

Cited by 51 publications

(15 citation statements)

References 36 publications

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“…Also, the best position can be found by multiplying the center point and current point division of polar for the x-axis and multiplying best point and current point division for the y -axis. The parameters c1 and c2 increase the intensity of the eagle search movement [59][60][61][62][63]. The optimization result of the MBES algorithm on the benchmarks and comparing it with some other algorithms showed that the proposed MBES algorithm is more accurate than its previous version and other optimization algorithms.…”

Section: Modified Bes Algorithm the Bald Eagle Search (Bes)mentioning

confidence: 96%

Stochastic Unit Commitment Study in a Power System with Flexible Load in Presence of High Penetration Renewable Farms

Mojtahedzadeh Larijani,

Ahmadi Kamarposhti,

Nouri

2023

International Journal of Energy Research

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In this paper, a new hybrid multiobjective algorithm, namely, the modified bald eagle search Algorithm (MBES), integrated with the grasshopper optimization algorithm, is proposed to solve the unit commitment (UC) problem. We consider a standard 10-unit power system with two wind farms, two photovoltaic farms, and flexible loads for optimization purposes. The UC problem is tackled under uncertainties related to demand and renewable generation capacities. To account for these uncertainties, probability density functions (PDFs) are assigned to the sources of uncertainty, and Monte Carlo simulation (MCS) is employed to select several scenarios with specific probability coefficients. Additionally, two innovative objective functions based on operation cost and emissions are introduced, with each scenario weighted based on its occurrence probability. To assess the performance of the proposed MOGOA-MBES algorithm, simulations are conducted across three scenarios with varying conditions, and the results are compared against those obtained from several multiobjective algorithms. Our findings, supported by optimization results and the S-metric index, demonstrate that the proposed MOGOA-MBES algorithm outperforms other algorithms in terms of reducing operation cost and emissions. Furthermore, the simulation results reveal that uncertainties lead to an increase in cost and emissions, whereas the inclusion of flexible loads and their participation in the UC program can effectively mitigate cost and emission levels.

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Section: Modified Bes Algorithm the Bald Eagle Search (Bes)mentioning

confidence: 96%

Stochastic Unit Commitment Study in a Power System with Flexible Load in Presence of High Penetration Renewable Farms

Mojtahedzadeh Larijani,

Ahmadi Kamarposhti,

Nouri

2023

International Journal of Energy Research

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“…Noted that the proposed scheme include an optimization problem. Te optimization model contains objective function [31][32][33][34][35][36][37][38][39][40][41] and constraints [42][43][44][45][46][47][48][49][50][51][52]. To apply this problem on the network, the grid needs to smart devices [53][54][55][56][57][58] and telecommunication equipment [59][60][61][62][63][64][65].…”

Section: 􏽺√√√√√√√√√√√√√√√√√ √􏽽􏽼√√√√√√√√√√√√√√√√√ √􏽻mentioning

confidence: 99%

Presenting a Stochastic Model of Simultaneous Planning Problem of Distribution and Subtransmission Network Development considering the Reliability and Security Indicators

Moayed

Shahi

Akbari-Zadeh

et al. 2023

International Transactions on Electrical Energy Systems

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Consumption growth demands power system expansion, and changes in a network lead to changes in operation indices of the upstream network. Hence, to establish a reliable planning of the distribution network, simultaneous planning of the subtransmission network should also be taken into account. It is predicted that this planning impacts different technical indices; therefore, formulation of various technical indices need to be included in the planning model. Therefore, in this study, the stochastic problem model of simultaneous planning of distribution and super distribution network development considering the reliability and security indicators is presented. The aforementioned problem is in the form of an optimization problem whose objective function is to minimize the costs of construction, replacement, operation, maintenance, reliability, and security. Furthermore, the mentioned problem is bound to the equations of power distribution, reliability, and security of voltage in addition to the limitation of network indicators. It is worth mentioning that, in the proposed problem, the active and reactive loads in addition to the operating price are in the form of uncertainty. Thus, the mentioned problem is in the form of a stochastic problem in which the point estimation method is used to evaluate the scenarios. Simultaneous expansion planning of distribution and subtransmission networks along with the placement of distributed generations and capacitors, as well as modeling security and reliability indices, is the novelty of the proposed scheme. In the end, the proposed problem is applied to the test network by GAMS optimization software, and then the capabilities of the proposed problem are extracted. Accordingly, based on numerical results, the expansion of distribution networks imposes considerable cost. Moreover, expansion planning of both distribution and subtransmission networks helps voltage to be in its permissible range, lower power loss, and improve reliability and security to 100%.

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“…It expresses as single or multi-objective function [71][72][73][74][75][76]. Optimization problem includes the different constraints [77][78][79][80][81]. Constraints are as equality and inequality formulation [82][83][84][85][86].…”

Section: Formulation Of the Ibvpp Operationmentioning

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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Improved Flux Weakening Control Strategy for Five-Phase PMSM Considering Harmonic Voltage Vectors

Cited by 51 publications

References 36 publications

Stochastic Unit Commitment Study in a Power System with Flexible Load in Presence of High Penetration Renewable Farms

Stochastic Unit Commitment Study in a Power System with Flexible Load in Presence of High Penetration Renewable Farms

Presenting a Stochastic Model of Simultaneous Planning Problem of Distribution and Subtransmission Network Development considering the Reliability and Security Indicators

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

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