Neural networks applied to preventive control measures for the dynamic security of isolated power systems with renewables

Fidalgo, José Nuno; Lopes, João; Miranda, Vladimiro

doi:10.1109/59.544647

Cited by 33 publications

(21 citation statements)

References 9 publications

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“…This increases the MG running costs, which is calculated in this paper. The additional cost of the proposed method will be compared with the other method that makes the MG secure by only changing DGs output powers [12,14].…”

Section: Additional Mg Operating Costmentioning

confidence: 99%

“…The preventive control strategy of MGs, based on dynamic security assessment (DSA), has been previously developed by several researchers [12][13][14]. In [12], decision tree (DT) has been used as an AI-based tool for developing an online preventive control.…”

Section: Introductionmentioning

confidence: 99%

“…In [12], decision tree (DT) has been used as an AI-based tool for developing an online preventive control. The artificial neural network (ANN) has been proposed in [13,14,[27][28][29] as an efficient tool for the preventive control strategy development.…”

Section: Introductionmentioning

confidence: 99%

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State of charge preventive control of storage device to stabilize VSI-based microgrid after islanding occurrence using ANN-based control

Pamsari

SeyedShenava

Shayeghi

2014

Neural Comput & Applic

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This paper presents an effective method to control the state of charge (SOC) of energy storage system (ESS) installed in a microgrid (MG). Considering voltage and frequency variations after islanding occurrence and based on the stability criteria, MG pre-islanding conditions are divided into secure and insecure classes. It is shown that insecure MG can become secure, if appropriate value for SOC of the ESS is chosen in different conditions of the MG. To select the most important variables of MG, which can estimate proper values of the SOC, a feature selection procedure known as RELIEF is used in this paper. Among all the MG variables, critical ones are selected. Using them, appropriate value of the SOC can be calculated for different conditions of the MG. This approach is economic because it does not change the result of optimal power flow (OPF). In some conditions, the proper control of SOC cannot solely make the MG secure. In these conditions, DGs generated power should be also changed to make the MG secure. This condition leads to a violation from OPF solution and increases the cost of operation. The results demonstrate the effectiveness of the proposed method in comparison with other methods.

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Section: Additional Mg Operating Costmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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State of charge preventive control of storage device to stabilize VSI-based microgrid after islanding occurrence using ANN-based control

Pamsari

SeyedShenava

Shayeghi

2014

Neural Comput & Applic

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“…Microgrids may have many different sizes and forms; two examples are the power networks of the Greek island of Lemnos and that of the English borough of Woking. The island of Lemnos bases its power production (with a capacity of 14.84 MW) on diesel generators, wind turbines and, to a lesser degree, on solar panels [8]. The borough of Woking has a power production of less than 2 MW predominantly relying on combined heat and power (CHP) plants and fuel cells [9].…”

mentioning

confidence: 99%

Fuel Consumption Minimization of a Microgrid

Hernandez-Aramburo

Green

Mugniot³

2005

IEEE Trans. on Ind. Applicat.

467

186

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Abstract-A cost optimization scheme for a microgrid is presented. Prior to the optimization of the microgrid itself, several schemes for sharing power between two generators are compared. The minimization of fuel use in a microgrid with a variety of power sources is then discussed. The optimization of a small power system has important differences from the case of a large system and its traditional economic dispatch problem. Among the most important differences is the presence of a local heat demand which adds another dimension to the optimization problem. The microgrid considered in this paper consists of two reciprocating gas engines, a combined heat and power plant, a photovoltaic array and a wind generator. The optimization is aimed at reducing the fuel consumption rate of the system while constraining it to fulfil the local energy demand (both electrical and thermal) and provide a certain minimum reserve power. A penalty is applied for any heat produced in excess of demand. The solution of the optimization problem strongly supports the idea of having a communication infrastructure operating between the power sources.

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“…This had led to reduced cost comparative to the conventional fossil energy resources. Nowadays, diesel generators are still the main source of energy in remote areas [5][6][7][8][9]. In stand-alone applications, small wind turbines provide a very attractive source of renewable energy.…”

Section: Introductionmentioning

confidence: 99%

A Maximum Power Point Tracking Control Algorithms for a PMSG‐based WECS for Isolated Applications: Critical Review

Belmokhtar¹,

Ibrahim²,

LamineDoumbia³

2016

Wind Turbines - Design, Control and Applications

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This chapter deals with a comprehensive overview study of the direct-driven (DD) permanent magnet synchronous generator (PMSG) for wind-energy generation system for stand-alone applications. The dynamic model of PMSG is presented, and different maximum power point tracking (MPPT) algorithms have been realized in the aim to compare their performance. A comparison of performances of the conventional P&O MPPT and the fuzzy logic P&O (FLC P&O) MPPT is presented. Control technique for the presented system is presented and analyzed for the generator side converter. The simulation results carried out using Matlab/Simulink software show the effectiveness of the wind turbine control system.

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Neural networks applied to preventive control measures for the dynamic security of isolated power systems with renewables

Cited by 33 publications

References 9 publications

State of charge preventive control of storage device to stabilize VSI-based microgrid after islanding occurrence using ANN-based control

State of charge preventive control of storage device to stabilize VSI-based microgrid after islanding occurrence using ANN-based control

Fuel Consumption Minimization of a Microgrid

A Maximum Power Point Tracking Control Algorithms for a PMSG‐based WECS for Isolated Applications: Critical Review

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