OPTIMAL PLACEMENT AND SIZING OF ENERGY STORAGE SYSTEMS IN POWER DISTRIBUTION NETWORKS.
Abstract:
Energy storage systems (ESSs) play a crucial role in modern power distribution networks by providing various benefits such as improved reliability, stability, and integration of renewable energy sources. However, the optimal placement and sizing of ESSs in distribution networks are essential to maximize their benefits and minimize the associated costs.
This paper presents a comprehensive study on the optimal placement and sizing of energy storage systems in power distribution networks. The objective is to determine the optimal locations and capacities of ESSs that can effectively enhance the performance of the distribution network while considering various operational and economic factors.
The proposed approach utilizes mathematical optimization techniques to find the optimal solution. The network topology, load characteristics, and available renewable energy resources are considered as inputs. The optimization model aims to minimize the overall system losses, improve voltage profiles, and mitigate power quality issues.
Different types of energy storage technologies, such as batteries, flywheels, and supercapacitors, are considered in the analysis. The selection of the appropriate storage technology depends on factors such as energy density, power rating, efficiency, and cost. The paper also investigates the impact of ESS placement and sizing on the network’s resilience to faults and outages.
The proposed methodology is applied to a case study based on a real-world power distribution network. The results demonstrate the effectiveness of the optimal placement and sizing of ESSs in improving the network’s performance, reducing energy losses, and enhancing the integration of renewable energy sources. Furthermore, the economic analysis provides insights into the cost-effectiveness of the proposed approach.
In conclusion, this paper provides a comprehensive analysis of the optimal placement and sizing of energy storage systems in power distribution networks. The findings highlight the potential benefits of ESSs in enhancing the network’s performance and facilitating the integration of renewable energy sources. The proposed methodology can serve as a valuable tool for distribution network operators and planners in making informed decisions regarding the deployment of ESSs.