Impact of distributed generation on the operational planning of medium voltage distribution networks using genetic algorithms

Author(s):  
Alexandre A. A. de Souza ◽  
Nelson Kagan ◽  
Miguel Edgar Morales Udaeta ◽  
Klaus de Geus
2019 ◽  
Vol 9 (21) ◽  
pp. 4685 ◽  
Author(s):  
Ahmad Asrul Ibrahim ◽  
Behzad Kazemtabrizi ◽  
Javier Renedo

A new active network management framework is presented based on a multi-period optimal power flow problem that is bounded by security constraints at the distribution level for upholding the security of supply. This can be achieved through active engagement with flexible demand and distributed generation to prepare for contingency events in day-ahead operational planning. This framework is coupled with a flexible hybrid AC/DC medium voltage (MV) distribution network topology. It contains an integrated multi-terminal medium voltage DC (MVDC) interface for a seamless interaction and integration of the flexible demand and generation on both AC and DC sides of the hybrid network. The active energy management framework when coupled with a flexible hybrid AC/DC topology provides unprecedented degrees of flexibility as well as security of operation under a variety of conditions. To this end, the 75-bus UK generic distribution network has been modified and converted into a hybrid AC/DC network using the integrated MVDC interface. This framework is then deployed to minimise operational costs to the network operator, considering costs of schemes such as distributed generation curtailment and flexible demand shifting, as well as network losses. Results show a significant improvement in operational costs when the network operates as a flexible hybrid when compared to a pure AC or a more conventional AC/DC hybrid.


2014 ◽  
Vol 492 ◽  
pp. 460-466 ◽  
Author(s):  
Jorge Mendoza ◽  
Miguel López ◽  
Allison Delgado

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.


Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5717
Author(s):  
Oscar Danilo Montoya ◽  
Walter Gil-González ◽  
Andrés Arias-Londoño ◽  
Arul Rajagopalan ◽  
Jesus C. Hernández

This paper addresses the voltage stability margin calculation in medium-voltage distribution networks in the context of exact mathematical modeling. This margin calculation is performed with a second-order cone (SOCP) reformulation of the classical nonlinear non-convex optimal power flow problems. The main idea around the SOCP approximation is to guarantee the global optimal solution via convex optimization, considering as the objective function the λ-coefficient associated with the maximum possible increment of the load consumption at all the nodes. Different simulation cases are considered in one test feeder, described as follows: (i) the distribution network without penetration of distributed generation; (ii) the distribution network with penetration of distributed generation; and (iii) the distribution grid with capacitive compensation. Numerical results in the test system demonstrated the effectiveness of the proposed SOCP approximation to determine the λ-coefficient. In addition, the proposed approximation is compared with nonlinear tools available in the literature. All the simulations are carried out in the MATLAB software with the CVX package and the Gurobi solver.


2018 ◽  
Vol 3 (1) ◽  
pp. 26-38 ◽  
Author(s):  
Konstantinos Kotsalos

The continuous growth of distributed generation along the medium voltage distribution networks (MVDN) induces multifaceted technical challenges that have to be addressed by alternative control architecture schemes beyond the centralized strategies and the fit and forget doctrine. The active participation of DG essentially drives the network to pave towards the Smart Grid concept. This paper entails a decentralized control strategy which is based on a sensitivity analysis to stipulate the proper dispatch set-points for the DGs; hence, all nodal voltages are in permissible bounds. An overview of sensitivity approaches is presented and discussed for their adequacy to be used in MVDN. The proposed method is simulated on a 13- Node Test Feeder IEEE benchmark, while its consistency is compared with a centralized scheme.


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