scholarly journals Butterfly optimizer-assisted optimal integration of REDG units in hybrid AC/DC distribution micro-grids based on minimum operational area

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Satish Kumar Injeti
Keyword(s):  
Power Loss ◽  
Distribution Systems ◽  
Grid System ◽  
Grid Systems ◽  
Distributed Generators ◽  
System A ◽  
Micro Grid ◽  
The Impact ◽  
Micro Grids ◽  
Better Than

AbstractThis paper presents the impact of optimal location and sizing of renewable and non-renewable-based distributed generators in the AC/DC micro-grid system using the latest optimizer called butterfly optimization algorithm with an aim to minimize power loss. Generally, hybrid AC/DC micro-grids systems are modeled by separating AC and DC feeders with the help of high-power converters (HPC).AC grids sustained by substation and DC grids are maintained by their individual DG units. While planning of DGs in the hybrid AC/DC systems, the power loss incurred by HPCs is not considered avoiding complexity by many authors. In this paper, the sizing of DGs is determined by the operational area required by the type of DG technology as one variable and all possible candidate buses in the respective zones of AC/DC micro-grid system are another variable with due consideration of HPC losses in AC/DC micro-grid system. A hybrid AC/DC MG system is developed by classifying the existing benchmark 33-bus and 69-bus radial distribution systems into various AC/DC zones. To evaluate the proposed approach, it is implemented on aforementioned micro-grid systems and the obtained results are verified with other existing approaches in the literature. The results proved that the proposed approach is better than the other approaches in technical aspects.

Optimal location and sizing of small hybrid systems in micro-grid system using Volunteer Geographic Information

2020 ◽  
Author(s):  
Javier Valdes ◽  
Sebastian Wöllmann ◽  
Roland Zink
Keyword(s):  
Simulation Model ◽  
Hybrid Systems ◽  
Optimization Model ◽  
Geographic Information ◽  
Optimal Location ◽  
Grid System ◽  
Volunteer Geographic Information ◽  
Micro Grid ◽  
The Impact ◽  
Micro Grids

<p><strong>Optimal location and sizing of small hybrid systems in micro-grid system using Volunteer Geographic Information</strong></p><p> </p><p>This study presents an optimization model for the optimal location and sizing of small hybrid systems in simulated micro-grids. By using an optimization model - in combination with COSMO-REA2 weather data - various micro-grids local energy systems are simulated using the Calliope energy simulation model. The Calliope optimization and simulation model is feed with GIS-data from different Volunteered Geographic Information projects, including OpenStreetMap. These allows to automatically allocate specific demand profiles to diverse OpenStreetMap building categories. Moreover, based on the characteristics of the OpenStreetMap data, a set of possible distributed energy resources) including renewables and fossil fueled generators are defined for each building category. The optimization model is applied for a set of scenarios based on different electricity prices and technological characteristics. This allows to assess the impact and profitability of the different technological options on the micro-grid configuration. Moreover, in order to assess the impact of each of the scenarios on the current distribution infrastructure, the results of the simulations are included on an existing model of the low and middle voltage network for Lower Bavaria, Germany. Finally, to facilitate their dissemination, the results of the simulation are stored in a PostgreSQL database, before they are delivered by a RESTful Laravel Server and displayed in an Angular Web-Application.</p>

scholarly journals OPTIMASI PEMASANGAN KAPASITOR PADA SISTEM JARINGAN LISTRIK DISTRIBUSI DI BALI MENGGUNAKAN METODE QUANTUM GENETIC ALGORITHM

2019 ◽  
Vol 6 (1) ◽  
pp. 96
Author(s):  
Maria Gusti Agung Ayu Permata ◽  
Antonius Ibi Weking ◽  
Widyadi Setiawan
Keyword(s):  
Genetic Algorithm ◽  
Power Factor ◽  
Power Loss ◽  
Grid System ◽  
Distribution Grid ◽  
Quantum Genetic Algorithm ◽  
Medium Voltage ◽  
Genetic Algorithm Method ◽  
The Impact

This study optimized the installation of capacitors on the distribution grid system in Penyabangan feeder, Singaraja, Bali using the Quantum Genetic Algorithm method to reduce the impact of increasing reactive currents. This feeder, consisting of 162 buses in which 62 buses are directly connected to the load and 5 buses are connected to medium voltage cosumers. The results of this study are obtained by the capacity of capacitors installed in 31 buses that have a power factor value less than the permitted limit and the power loss values decrease from 0,0674 MW and 0,0546 MVAr to 0,0543 MW and 0,0442 MVAr.

scholarly journals Electric Vehicle Fleets as Balancing Instrument in Micro-Grids

Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7616
Author(s):  
Giambattista Gruosso ◽  
Fredy Orlando Ruiz
Keyword(s):  
Degrees Of Freedom ◽  
Linear Optimization ◽  
Car Sharing ◽  
Distributed Resources ◽  
Data Set ◽  
System A ◽  
Flexible Load ◽  
Micro Grid ◽  
The Cost ◽  
Micro Grids

Micro-grids have become the building block of modern energy systems, where distributed resources are the characterizing feature. The charging operation of electric vehicles can be exploited as a flexible load to achieve operational goals of the micro-grid. In the particular case of car-sharing fleets, the degrees of freedom in the charging procedures are reduced when compared to private users. In this work, we illustrate how a car sharing fleet can be incorporated as a flexible load in the micro-grid management system. A linear optimization problem is formulated, where the cost function makes a trade-off between the gain in flexibility in the micro-grid and the loss incurred by the car-sharing service for delaying the recharging procedure of the EV. The proposed approach is evaluated on a data set of charging events generated by a real car-sharing fleet showing that the EMS allows reducing the daily peak demand requested to the public grid and diminishes the operational costs.

Investigating the Impact of Distributed Generators Power Factor to Simultaneous Optimization Analysis

2015 ◽  
Vol 785 ◽  
pp. 253-257
Author(s):  
Jasrul Jamani Jamian ◽  
M.W. Mustafa ◽  
Mohd Noor Abdullah
Keyword(s):  
Power Factor ◽  
Power Loss ◽  
Simultaneous Optimization ◽  
Loss Reduction ◽  
Optimization Analysis ◽  
Swarm Optimization ◽  
Distributed Generator ◽  
Distributed Generators ◽  
Power Loss Reduction ◽  
The Impact

This paper discusses the optimal Distributed Generator (DG) coordination using the Particle Swarm Optimization (PSO) technique where the DG output and location are determined simultaneously. Furthermore, this study analyzes both single DG and multiple DGs configurations. The influence of DG Power Factor (PF) to the optimal DG placement and the DG output are investigated by varying the DG PF values. Specifically, the PF were configured to five values, which are 0.8, 0.85, 0.9, 0.95 and 1.0. From the results, the optimal DG placements are similar, regardless of the PF condition. For example, in the single DG unit experiment, the optimal DG location is at bus 6 whilst in the triple DG units test, the optimal locations are at busses 14, 24, and 30. In contrast, the value of PF significantly influences the optimal DG output and power loss reduction. This study concludes that the design with three DGs where their PFs are configured to 0.8 has the least power loss.

Meta-Heuristic BPSO Based Voltage Profile Enhancement in Radial Distribution System Through Network Reconfiguration

2019 ◽  
Vol 20 (6) ◽  
Author(s):  
Mounika Kannan ◽  
Kirithikaa Sampath ◽  
Srividhya Pattabiraman ◽  
K Narayanan ◽  
Tomonobu Senjyu
Keyword(s):  
Radial Distribution ◽  
Distribution System ◽  
Power Loss ◽  
Distribution Systems ◽  
Heuristic Method ◽  
Binary Particle Swarm Optimization ◽  
Voltage Profile ◽  
Voltage Deviation ◽  
Node Voltage ◽  
The Impact

Abstract Abnormal Voltages in electrical distribution system is a threat to power system security and may cause equipment damages. Reconfiguration aids in the proper distribution of load and thus improving the voltage profile. The multi objective framework including node voltage deviation as primary objective and power loss and reliability as secondary objectives is formulated. The novel meta heuristic method based on binary particle swarm optimization (BPSO) is employed to find the optimal radial distribution network configuration for an assortment of objective function. The effect of inertia weight, position and population of swarm is deeply investigated. The proposed method has been verified on IEEE 33 and 69 bus radial distribution systems and found to be effective in minimizing node voltage deviation. The impact of the reconfigured system on voltage deviation, power loss and reliability has been studied extensively. BPSO calculations are found to be simple and has good Convergence characteristics in comparison with other meta heuristic techniques.

scholarly journals Optimal Coordination of DOC Relays Incorporated into a Distributed Generation-Based Micro-grid Using a Meta-Heuristic MVO Algorithm

Energies ◽  
2019 ◽  
Vol 12 (21) ◽  
pp. 4115 ◽  
Author(s):  
Abdelsalam ◽  
Diab
Keyword(s):  
Distributed Generation ◽  
Optimization Problem ◽  
Operating Time ◽  
Pso Algorithm ◽  
Swarm Optimization ◽  
Optimal Coordination ◽  
Micro Grid ◽  
Bus Networks ◽  
Micro Grids ◽  
Better Than

Distributed, generation-based micro-grids are increasingly being used in the build-up of the modern power system. However, the protection of these micro-grids has many challenges. One of the important challenges is the coordination of directional overcurrent (DOC) relays. The optimization of the coordination of DOC relays is considered a nonlinear programming problem with pre-defined constrains. In this paper, the problem of the optimal coordination of DOC relays is solved using a multi-verse optimization (MVO) algorithm which is inspired from cosmology science. The proposed algorithm is tested by applying it to Institute of Electrical and Electronics Engineers (IEEE) 3 bus and IEEE 9 bus networks. The performance of the proposed algorithm is compared with the particle swarm optimization (PSO) algorithm when applied to both networks. All results show that the performance of the MVO algorithm is better than PSO in terms of its reduction of both the overall operating time (OT) of DOC relays and the computational burden of the computer solving the optimization problem.

A sliding mode controller-based STATCOM for voltage profile improvement of micro-grids

2018 ◽  
Vol 15 (2) ◽  
pp. 283-291 ◽  
Author(s):  
Swagat Pati ◽  
Kanungo Barada Mohanty ◽  
Sanjeeb Kumar Kar
Keyword(s):  
Steady State ◽  
Sliding Mode ◽  
Synchronous Generator ◽  
Sliding Mode Controller ◽  
Voltage Profile ◽  
Content Type ◽  
Grid Systems ◽  
Micro Grid ◽  
Micro Grids ◽  
Voltage Profile Improvement

Purpose The purpose of this paper is to evaluate the suitability and robustness of sliding mode controller (SMC) for maintaining flat voltage profile at the load bus of two different micro-grid systems using STATCOM. Design/methodology/approach Two micro-grid systems are dynamically modelled and simulated using MATLAB/Simulink. The first micro-grid has a single diesel engine-driven synchronous generator. The second micro-grid has one diesel engine-driven synchronous generator and a doubly fed induction generator-based wind energy conversion system. The STATCOM is connected to the load bus in both the micro-grids. SMC is used for the control of STATCOM for voltage profile improvement of micro-grid. The performance of SMC-based STATCOM is analysed and compared with the performance of conventional PI controller-based STATCOM. Findings The SMCs are more suited for STATCOM control as these are more immune to load disturbances even with the presence of wind energy generators. The voltage deviations and the steady state errors in voltage are less with SMC. Although SMC introduces a bit of steady state error in the dc link voltage of the STATCOM, it is much less than the settling limit of 2 per cent, which is quite acceptable. SMC proves to be better than conventional PI controllers in both the proposed models of micro-grid. Originality/value Design of a robust first-order SMC for a STATCOM is used for voltage profile improvement in two different micro-grid systems.

Distributed Renewable Energy Access to Micro-Grid System Random Multi-Objective Economic Dispatch

2014 ◽  
Vol 651-653 ◽  
pp. 1037-1045
Author(s):  
Ming Xu ◽  
Wen Bin Xiang
Keyword(s):  
Renewable Energy ◽  
Economic Dispatch ◽  
Grid System ◽  
Energy Access ◽  
Multi Objective ◽  
System A ◽  
Simulink Simulation ◽  
Dispatch System ◽  
Micro Grid ◽  
Generation Technology

With the development of distributed generation technology rapidly, a large number of wind, solar and other renewable energy access to access system . Since renewable energy is intermittent and stochastic, which posed economic dispatch system a serious challenge. Consider the system operating costs and sewage expenses, the paper constructs multi-objective micro-grid system economic dispatch model composed by the wind turbine, diesel engine, battery and load. And through MATLAB / Simulink simulation, model is established to verify the correctness and effectiveness.

scholarly journals An energy management platform for micro-grid systems using Internet of Things and Big-data technologies

2019 ◽  
Vol 233 (7) ◽  
pp. 904-917 ◽  
Author(s):  
Abdellatif Elmouatamid ◽  
Youssef NaitMalek ◽  
Mohamed Bakhouya ◽  
Radouane Ouladsine ◽  
Najib Elkamoun ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Grid System ◽  
Seamless Integration ◽  
Grid Systems ◽  
Storage Devices ◽  
Management Platform ◽  
Efficient Integration ◽  
Micro Grid

Micro-grid systems have been recently emerged for efficient integration and management of renewable energy sources, buildings’ equipment (e.g. ventilation; lighting; heating, ventilation, and air conditioning), and energy storage devices. The intermittent nature of the produced electricity from renewable energy sources constitutes, however, the main challenge for their seamless integration into buildings. Recent studies stated that storage devices, despite their actual high cost, could be used to tackle this issue by balancing between the variability of renewable energy sources production and the unpredictable building’s occupancy. However, managing the power flows in micro-grid systems is highly required in order to minimize the consumption from the electric grid while ensuring the quality and the reliability of electrical services. In this article, a micro-grid system platform is introduced for efficient integration and management of renewable energy sources and storage devices. The platform’s architecture is composed of three main components: (a) the power generation components that integrate the renewable energy sources together with the storage devices and the traditional electrical grid, (b) an advanced metering component for data gathering and analysis, and (c) control services for power flow management. The platform was developed and deployed in a real-setting scenario. Simulations and experimentations have been performed and results show the usefulness of the proposed platform for efficient management of the deployed micro-grid system.

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