Design of Digital Differentiators Using Interior Search Algorithm

Kumar, Manjeet; Rawat, Tarun Kumar; Jain, Aman; Singh, Atul; Mittal, A.P.

doi:10.1016/j.procs.2015.07.351

Cited by 19 publications

(11 citation statements)

References 29 publications

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“…Table 8 lists the filter coefficients, maximum relative magnitude error δ r , and maximum phase error ∆w φ of the differentiator obtained by the proposed SPO method, as well as the corresponding data of the differentiators by the methods in Refs. [8,14,20,21]. All differentiators were also transformed into the form of Eq.…”

Section: ) Comparison With Mathematical Programming Methodsmentioning

confidence: 99%

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A Sequential Partial Optimization Algorithm for Design of Near Linear‐Phase IIR Digital Differentiators

Meng

Lai

2019

Chin. j. electron.

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Section: ) Comparison With Mathematical Programming Methodsmentioning

confidence: 99%

“…The Harmony (HSA) and Interior (ISA) search algorithms were reported in Refs. [20,21], respectively. Most metaheuristic algorithms can effectively control the magnitude error, but the phase error is not controlled explicitly.…”

Section: Introductionmentioning

confidence: 99%

A Sequential Partial Optimization Algorithm for Design of Near Linear‐Phase IIR Digital Differentiators

Meng

Lai

2019

Chin. j. electron.

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“…The flowchart of ISA optimization is illustrated in Figure 4. ISA is described in the following steps [32]:…”

Section: (B) Der Constraintsmentioning

confidence: 99%

Control and EMS of a Grid-Connected Microgrid with Economical Analysis

2018

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Abstract:Recently, significant development has occurred in the field of microgrid and renewable energy systems (RESs). Integrating microgrids and renewable energy sources facilitates a sustainable energy future. This paper proposes a control algorithm and an optimal energy management system (EMS) for a grid-connected microgrid to minimize its operating cost. The microgrid includes photovoltaic (PV), wind turbine (WT), and energy storage systems (ESS). The interior search algorithm (ISA) optimization technique determines the optimal hour-by-hour scheduling for the microgrid system, while it meets the required load demand based on 24-h ahead forecast data. The control system consists of three stages: EMS, supervisory control and local control. EMS is responsible for providing the control system with the optimum day-ahead scheduling power flow between the microgrid (MG) sources, batteries, loads and the main grid based on an economic analysis. The supervisory control stage is responsible for compensating the mismatch between the scheduled power and the real microgrid power. In addition, this paper presents the local control design to regulate the local power, current and DC voltage of the microgrid. For verification, the proposed model was applied on a real case study in Oshawa (Ontario, Canada) with various load conditions.

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“…The optimization steps for EMS using ISA is given bellow [21]: (3) Divide other elements into two groups randomly. If r 1 α, the element goes to the mirror group, else it goes to the composition group.…”

Section: Isa Optimizationmentioning

confidence: 99%

Optimal operation and battery management in a grid-connected microgrid

El-Hendawi

El-Saady

Ibrahim

2018

Journal of International Council on Electrical Engineering

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Recently, Smart grid is one the important concepts that improve the energy future. This paper proposes an economic optimization technique for battery management to reduce the operating cost of a grid-connected microgrid. The proposed microgrid includes photovoltaic, wind power, and battery storage system. The proposed objective concerns with determination of the optimal hourly management for the operating power system to meet the required profile of load demand. In addition to, the excess/lack amount of electricity can be sold to/purchased from the utility grid. Interior Search Algorithm (ISA), an efficient heuristic algorithm, is applied to solve the problem with an objective of total operational cost minimization. The optimization technique is applied to a typical microgrid system with different loading conditions as a case study to test its effectiveness. The proposed platform can be considered as a significant part of comprehensive energy management system (EMS). The simulation results indicate high potential savings for the total operating cost.

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Design of Digital Differentiators Using Interior Search Algorithm

Cited by 19 publications

References 29 publications

A Sequential Partial Optimization Algorithm for Design of Near Linear‐Phase IIR Digital Differentiators

A Sequential Partial Optimization Algorithm for Design of Near Linear‐Phase IIR Digital Differentiators

Control and EMS of a Grid-Connected Microgrid with Economical Analysis

Optimal operation and battery management in a grid-connected microgrid

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