scholarly journals Autonomous adaptive Q(U) control for distributed generation in weak medium‐voltage distribution grids

2021 ◽  
Author(s):  
Desmond Okwabi Ampofo ◽  
Johanna M. A. Myrzik
Keyword(s):  
Distributed Generation ◽  
Voltage Distribution ◽  
Medium Voltage ◽  
Distribution Grids

scholarly journals Improving PV Resilience by Dynamic Reconfiguration in Distribution Grids: Problem Complexity and Computation Requirements

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 830
Author(s):  
Filipe F. C. Silva ◽  
Pedro M. S. Carvalho ◽  
Luís A. F. M. Ferreira
Keyword(s):  
Distributed Generation ◽  
Optimal Solution ◽  
Dynamic Reconfiguration ◽  
Scheduling Problem ◽  
Low Carbon ◽  
Distribution Grid ◽  
Medium Voltage ◽  
Classical Computing ◽  
The Impact ◽  
Distribution Grids

The dissemination of low-carbon technologies, such as urban photovoltaic distributed generation, imposes new challenges to the operation of distribution grids. Distributed generation may introduce significant net-load asymmetries between feeders in the course of the day, resulting in higher losses. The dynamic reconfiguration of the grid could mitigate daily losses and be used to minimize or defer the need for network reinforcement. Yet, dynamic reconfiguration has to be carried out in near real-time in order to make use of the most updated load and generation forecast, this way maximizing operational benefits. Given the need to quickly find and update reconfiguration decisions, the computational complexity of the underlying optimal scheduling problem is studied in this paper. The problem is formulated and the impact of sub-optimal solutions is illustrated using a real medium-voltage distribution grid operated under a heavy generation scenario. The complexity of the scheduling problem is discussed to conclude that its optimal solution is infeasible in practical terms if relying upon classical computing. Quantum computing is finally proposed as a way to handle this kind of problem in the future.

Location and Size of Distributed Generation Using Ant Colony Optimization

2014 ◽  
Vol 492 ◽  
pp. 460-466 ◽  
Author(s):  
Jorge Mendoza ◽  
Miguel López ◽  
Allison Delgado
Keyword(s):  
Ant Colony Optimization ◽  
Distributed Generation ◽  
Electricity Generation ◽  
Recent Trend ◽  
Optimization Technique ◽  
Distribution Networks ◽  
Ant Colony ◽  
Energy Sources ◽  
Voltage Distribution ◽  
Medium Voltage

Distributed generation (DG) is a recent trend of electricity generation, which aims to use various energy sources to inject electric power in a distributed manner at points close to the load. This paper develops an optimization model to choose the sizes and positions of DG in medium voltage distribution networks in order to minimize the power system losses, given a set of constraints. Ant Colony Optimization (ACO) was used as optimization technique, with excellent results.

scholarly journals Heuristic Methodology for Planning AC Rural Medium-Voltage Distribution Grids

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 5141
Author(s):  
Oscar Danilo Montoya ◽  
Federico Martin Serra ◽  
Cristian Hernan De Angelo ◽  
Harold R. Chamorro ◽  
Lazaro Alvarado-Barrios
Keyword(s):  
Power Flow ◽  
Minimum Spanning Tree ◽  
Search Algorithm ◽  
Flow Simulation ◽  
Mixed Integer ◽  
Voltage Distribution ◽  
Medium Voltage ◽  
Planning Project ◽  
Distribution Grids ◽  
Selection Of

The optimal expansion of AC medium-voltage distribution grids for rural applications is addressed in this study from a heuristic perspective. The optimal routes of a distribution feeder are selected by applying the concept of a minimum spanning tree by limiting the number of branches that are connected to a substation (mixed-integer linear programming formulation). In order to choose the caliber of the conductors for the selected feeder routes, the maximum expected current that is absorbed by the loads is calculated, thereby defining the minimum thermal bound of the conductor caliber. With the topology and the initial selection of the conductors, a tabu search algorithm (TSA) is implemented to refine the solution with the help of a three-phase power flow simulation in MATLAB for three different load conditions, i.e., maximum, medium, and minimum consumption with values of 100%, 60%, and 30%, respectively. This helps in calculating the annual costs of the energy losses that will be summed with the investment cost in conductors for determining the final costs of the planning project. Numerical simulations in two test feeders comprising 9 and 25 nodes with one substation show the effectiveness of the proposed methodology regarding the final grid planning cost; in addition, the heuristic selection of the calibers using the minimum expected current absorbed by the loads provides at least 70% of the calibers that are contained in the final solution of the problem. This demonstrates the importance of using adequate starting points to potentiate metaheuristic optimizers such as the TSA.

scholarly journals Evaluation of Medium Voltage Distribution Network with/without Distributed Generation using ATP Software

2014 ◽  
pp. 322-327 ◽  
Author(s):  
J.O. Rezende ◽  
L.M. Peres ◽  
G. C. Guimarães ◽  
A. J. de Moraes ◽  
M. A. Tamashiro
Keyword(s):  
Distributed Generation ◽  
Distribution Network ◽  
Voltage Distribution ◽  
Medium Voltage
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