Sustainable power generation expansion with RES and energy storage

Received: February 10th, 2023 ; Accepted: April 30th, 2023 ; Published: July 6th, 2023 ; Correspondence: [email protected] island power systems have a tremendous protentional for RES use. Nevertheless, present infrastructures and system operations emerge with limitations, preventing the technology from further exploitation. Specifically, this paper presents and analyzes a representative interconnected island power system operation and highlights the benefits and challenges of embedding an ultra-high share of RES. This level of power and energy penetration could be technically feasible, taking into account interconnections and electricity storage systems, which could provide under specific implementation strategies advantages in stability, reliability, and energy adequacy

Increasing Distribution Grid Hosting Capacity Through Wire And Non-Wire Solutions

Increased deployment of distributed generation (DG) can adversely impact the operational performance of distribution networks. This increment can potentially change network power flow and result in several operational issues such as reduced power quality, overvoltage, and ineffective protection. In order to quantify the degradation bounds of distribution operation due to increasing DG integration, the concept of hosting capacity is introduced. The aim of this thesis is to increase the DG hosting capacity in distribution network by proposing several wire and non-wire solutions. To this end, these solutions include network reconfiguration, reactive power control, and energy storage system deployment. The network reconfiguration can change the power flow in the system while the reactive power control can decrease the voltage rise and power loss in the system, which lead to increase in hosting capacity. The energy storage systems can be utilized to locally capture DG generation, which leads to an increase in the hosting capacity. This thesis introduces an optimization- based hosting capacity method developed based on a linear power flow model to optimally determine DGs hosting capacity. Numerical simulations on a radial distribution test system illustrate the effectiveness of the proposed solutions