Multi-Objective Environmental Economic Dispatch of an Electricity System Considering Integrated Natural Gas Units and Variable Renewable Energy Sources

Omar, Ahmed I.; Ali, Ziad M.; Al‐Gabalawy, Mostafa; Aleem, Shady H. E. Abdel; Al‐Dhaifallah, Mujahed

doi:10.3390/math8071100

Cited by 34 publications

(15 citation statements)

References 51 publications

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“…The controller's management technique solves the PQ challenges on the distribution side by taking three steps: (1) The system voltage under fault conditions has to be recognized. (2) It is important to produce switching pulses for the operation of converters. (3) It should then produce the necessary reference voltage, which is required for modification purposes.…”

Section: Strategies Of Dpfc Regulationmentioning

confidence: 99%

“…HRESs can mitigate emissions and global warming in addition to their significant economic advantages [1]. Due to global economic problems and increasing ecological awareness, HRESs-based distributed generation (DG) is becoming more relevant [2]. Many HRESs have been implemented and integrated into the classical power networks, like wind energy, photovoltaic energy, fuel cells (FCs), and biomass [3].…”

Section: Introductionmentioning

confidence: 99%

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Power Quality Improvement Using Distributed Power Flow Controller with BWO-Based FOPID Controller

Goud

Reddy²,

Bajaj

et al. 2021

Sustainability

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The integration of hybrid renewable energy sources (HRESs) into the grid is currently being encouraged to meet the increasing demand for electric power and reduce fossil fuels which are causing environmental-related problems. Integration of HRESs into the grid can create some power quality (PQ) problems. To mitigate PQ problems and improve the performance of grid-connected HRESs some flexible devices should be used. This paper presents a distributed power flow controller (DPFC), as a type of flexible device to mitigate some PQ problems, including voltage sag, swell, disruptions, and eliminating the harmonics in a hybrid power system (HPS). The HPS presented in this work comprises a photo voltaic (PV) system, wind turbine (WT) and battery energy storage system (BESS). As a result, black widow optimization (BWO) with DPFC with real and reactive power (DPFC-PQ) is built in this paper to solve the PQ issues in HRES systems. The main aim of the work is to mitigate PQ problems and compensate for load demand in the HRES scheme. The controller used to drive this DPFC-PQ is a fractional-order PID (FOPID) controller optimized by the black widow optimization (BWO) technique. To assess the capability of BWO in fine-tuning the FOPID controller parameters, twelve optimization techniques were presented: P&O, PSO, Cuckoo, GA, GSA, BBO, Whale, ESA, RFA, ASO, and EVORFA. Additionally, a comparison between the FOPID controller and the classical PI controller is introduced. The results showed that the proposed BWO-FOPID controller for DFPC had mitigated the PQ problems in grid-connected HRESs. The system’s performance with the presented BWO-FOPID controller is compared with eleven optimization techniques used to optimize the FOPID controller and also compared with the conventional PI controller. The design of the proposed system is implemented in the MATLAB/Simulink platform and performances were analyzed.

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Section: Strategies Of Dpfc Regulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Power Quality Improvement Using Distributed Power Flow Controller with BWO-Based FOPID Controller

Goud

Reddy²,

Bajaj

et al. 2021

Sustainability

View full text Add to dashboard Cite

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“…It is also capable of using biofuels, which can be expressed through higher fuel prices. Parameters describing the generation technologies are listed in Table 1 [48,49]. The storage investment options given are two differently sized lithium-Ion batteries: A 4 KWh option manufactured by Victron Energy and a 13.5 KWh option manufactured by Tesla.…”

Section: Application To Case Studymentioning

confidence: 99%

Micro-energy Systems (MESs); Modeling and Optimal Operating Based on NSGA-II

Al‐Gabalawy

Adly

Abdelaziz

et al. 2021

Digital Transformation Technology

Self Cite

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In this paper, an optimization tool for Micro-energy systems (MESs) is designed and implemented in a modular and scalable architecture. A flexible modeling tool suitable for optimizing a microgrid setup under diverse conditions is developed. In addition to modeling of the small-scale generation or storage unit, where the modeling tool reflects the trade between connected entities as well as behavior such as load shifting and curtailment. It is then applied to a case study set in a village in North Rhine-Westphalia which is due to be destroyed by lignite mining. The case study furthermore indicates the potential of a decentralized energy system, especially as the investment costs of the applied technologies further decrease, and 'energy quality' factors, such as CO 2 emissions are becoming increasingly more relevant. Finally, the objective of the model will be to meet the demand of all connected entities at a minimum cost. Moreover, with these functionalities at a small solving time, the modeling tool should meet the criteria of being scalable, flexible in regard to the form and quality of input data and as user-friendly as possible. At the last, a multi-objective optimization has been executed based on the non-dominated sorting genetic algorithm-II (NSGA-II).

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“…Omar et al [17] have established a multiple objective economic-environmental dispatch (MOEED) method for incorporated thermal, natural gas, and renewable energy systems deeming the level of pollutant emission, total fuel or generation cost characteristics. Here, the 2 cases were done in IEEE 30-bus system by converting thermal generation units as natural gas units for diminishing the quantity of toxin emission with fuel cost.…”

Section: Recent Research Work: a Brief Reviewmentioning

confidence: 99%

Genetic Algorithm Based Power Control Strategies of a Grid Integrated Hybrid Distributed Generation System

Kumar

Subrahmanyam

Sydulu

2021

Technol Econ Smart Grids Sustain Energy

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In this manuscript, a genetic algorithm (GA) is proposed for the power management (PM) of a grid integrated hybrid distributed generation (DG) system. The hybrid distribution generation (DG) system incorporates photovoltaic (PV), wind turbine (WT), fuel cell (FC) and battery. The power fluctuations are produced in the distributed generation system, because the hybrid resource utilization and the generation of power is changeable. The major purpose of the proposed control method is "to control the power flow (PF) of active with reactive energy amid the source and grid side. The proposed GA-based power control system is mainly utilized for optimizing active with reactive power flow controllers. By controlling charge with discharge of battery, the proposed system met the energy requirement of the charge and managed the sensitivity of the charge. The proposed method provides an optimal power flow in DG systems. To evaluate the management of PF, the equality with inequality constraints is determined that is used to specify the accessibility of renewable energy sources (RES), the demand for electricity and storage components load level. The security of power system is improved with the help of proposed control system. Moreover, the battery is used to allow the renewable energy system and maintain a stable power output. The proposed method is activated in MATLAB / Simulink work site and the performance is compared with existing methods. The statistical analysis of mean, median and standard deviation (SD) are also analyzed for proposed with existing methods. The proposed technique mean value is 1.5784, median is 1.4892, SD is 0.5883.

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Multi-Objective Environmental Economic Dispatch of an Electricity System Considering Integrated Natural Gas Units and Variable Renewable Energy Sources

Cited by 34 publications

References 51 publications

Power Quality Improvement Using Distributed Power Flow Controller with BWO-Based FOPID Controller

Power Quality Improvement Using Distributed Power Flow Controller with BWO-Based FOPID Controller

Micro-energy Systems (MESs); Modeling and Optimal Operating Based on NSGA-II

Genetic Algorithm Based Power Control Strategies of a Grid Integrated Hybrid Distributed Generation System

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