An analytical approach for allocation and sizing of distributed generations in radial distribution network

Abstract

This article presents a simple model to identify the proper location and size of distributed generations (DGs) in radial distribution networks. The proposed model is a combination of a 2-stage framework that determines a suitable location for DG and appropriate size at obtained location. An index is formulated that combines aspects of the real power losses in the network and the voltage stability condition of the network. The index is defined as the DG selection index, and it is used to determine the proper bus location for the DG. On the basis of a DG sizing formula presented in the article, the optimal generation capacity of a DG unit is determined. The proposed methodology is tested on 12-bus, 33-bus, and 69-bus radial distribution network models that consider different operational power factor operation modes of DGs. The simulation results are compared with existing analytical approaches to demonstrate the effectiveness of the proposed methodology in radial network systems.

Bilevel optimization framework for impact analysis of DR on optimal accommodation of PV and BESS in distribution system

“…The rapid advancements in small sized generation technologies have encouraged distribution system operator (DSO) to increase the share of distributed generations (DGs) in distribution systems (DS). In order to improve the performance of DS, optimal locations and sizing of DGs are required as nonoptimal allocation is found to be counterproductive . Numerous objectives have been achieved by optimal incorporation of DGs such as minimization of power loss, minimization of voltage deviations, minimization of greenhouse gas emissions, minimization of average interruption times, improving the reliability etc.…”

“…In order to improve the performance of DS, optimal locations and sizing of DGs are required as nonoptimal allocation is found to be counterproductive. [5][6][7][8][9][10] Numerous objectives have been achieved by optimal incorporation of DGs such as minimization of power loss, 5,6 minimization of voltage deviations, 5,7 minimization of greenhouse gas emissions, 8 minimization of average interruption times, 9 improving the reliability 10 etc. However, the conventional DS are not capable of accommodating high penetration of renewables due to their nondispatchable nature, randomness, and variability.…”

Optimal distributed energy storage investment scheme for distribution network accommodating high renewable penetration

“…There is a consensus that the uncertainties and variabilities induced by the increasing penetration of renewable distributed generation pose significant challenges to maintaining the efficiency and reliability of power system operation . This situation becomes even worse when a large number of RDGs are installed in distribution networks (DNs), which are not initially intended to accommodate RDGs . Traditionally, distribution systems are radial networks, carrying energy from the transmission system unidirectionally to the terminal customers, where the voltage issue is usually the large voltage drop along the long‐distance power distribution lines.…”

A combined probabilistic modeling of renewable generation and system load types to determine allowable DG penetration level in distribution networks

“…Calculation of DG penetration level is an effective tool to locate and determine the most suitable size for DG installation in the distribution network. The low penetration level of DG (up to 5%) has no significant impact on system, but at higher penetration level, they can have the effective impacts on the stable and proper operation of the system . This case imposes remarkable challenges to the existing methods for power system planning and operation.…”

“…The low penetration level of DG (up to 5%) has no significant impact on system, 2 but at higher penetration level, they can have the effective impacts on the stable and proper operation of the system. 3,4 This case imposes remarkable challenges to the existing methods for power system planning and operation. Interconnecting DGs to network obtains the bidirectional power flows in the system and changes system control, short circuit capacity, voltage, congestion of lines, setting of the protection system, and so on.…”