Optimal Voltage Control in MV Network with Distributed Generation

Abstract

The article presents the concept of voltage control in a medium-voltage network, using the classical control of a HV/MV (High Voltage/Medium Voltage) transformer and active participation of distributed generation sources. The proposed solution is based on the results of the optimization process. The objective function is considered as a single-criterion—the voltage quality indicator or value of power losses in the network, and optionally as two-criteria (voltage quality and losses combined, with appropriately selected weight factors). The analysis carried out for random selection of independent variables, using the original heuristic algorithm, indicated a very high efficiency of the proposed control process, compared to the traditional approach. A significant improvement in the voltage quality index and reduction of losses was found, which justifies the advisability of looking for new solutions in the field of voltage control in MV networks, taking into account active participation of distributed generation.

Volt-VAr Optimization of a Low Voltage Distribution Network in Nigeria

“…It expresses the power flow equations in terms of the currentvoltage relationships where the network flows are linear and the nonconvexities appear in the constraints relating bilinear terms in the load model [13]. The VVO for the distribution grid is therefore modelled as in ( 1)- (8).…”

“…The reactive power of the inverter is limited by its nameplate rating and active power rating as given in (7). Customer voltages are constrained to operate within the prespecified voltage bounds by (8).…”

“…Several studies have investigated various voltage control measures on the medium and low voltage levels and have proposed several optimization solution methods. For instance, a proprietary Algorithm of the Innovative Gunner (AIG) algorithm was used in [8] to achieve voltage control in a medium-voltage network. Compared to the traditional approach, the proposed optimization technique reported significant improvement in the voltage performance of the feeders as well as reduction of losses.…”

“…The results indicated that the proposed method was capable of solving the voltage violation issues, while also reducing the power loss and reasonably improving the voltage performance. These methods in [8,9], however, are based on heuristics and are incapable of providing viable solutions that deliver the optimal solution. In contrast to heuristic methods, mathematical optimization methods are able to consistently provide a guarantee on the optimality of the solution [10][11][12].…”

Otimização da Curva de Demanda em Redes de Distribuição com Geração Distribuída Fotovoltaica, Utilizando Algoritmo Genético e Armazenadores de Energia

“…Diversos trabalhos avaliaram e propuseram metodologias de mitigação dos impactos gerados pela alta penetração de GD, principalmente no que tange a Controle de Tensão e Potência Reativa, através da combinação de GD com Banco de Capacitores, Reguladores de Tensão e Sistemas de Armazenamento de Energia (SAE) (Sedghi et al, 2015;Meirinhos et al, 2017). As técnicas de Otimização por Enxame de Partículas (Zad et al, 2015), Algorithm of the Innovative Gunner (Kacejko and Pijarski, 2021) e Algoritmo Genético (AG) (Babacan et al, 2017), são exemplos de modelos utilizados na definição dos regimes de operação das rede elétricas e seus respectivos equipamentos.…”