Optimal sizing and placement of smart-grid-enabling technologies for maximizing renewable integration

• Type: Chapter or Part of a Book
• Date: 2016

Authors

Santos, SF (Author) Other; Fitiwi, DZ (Author) Other; Shafie khah, M (Author) Other; Bizuayehu, AW (Author) Other; Catalão, JPS (Author) FEUP

Book

Title: Smart Energy Grid Engineering

Pages: 47-81

ISBN: 9780128092323; 9780128053430

Indexing

Scopus - 10 Citations

Other information

Authenticus ID: P-00M-CSG

DOI: 10.1016/b978-0-12-805343-0.00003-6

Abstract (EN): This work presents a new integrated multistage and stochastic mathematical model, which is developed to support the decision-making process related to the expansion planning of distribution network systems for integrating large-scale distributed "clean" energy sources. The developed model, formulated from the distribution system operator's point of view, determines the optimal sizing, time, and placement of distributed energy technologies (renewables, in particular) as well as that of energy storage systems (ESSs) and compensators in distribution networks. The ultimate goal of this optimization work is to maximize the size of distributed generation (DG) power absorbed by the system while maintaining the power quality and stability at the required/standard levels at a minimal cost possible. The model, formulated as a mixed-integer linear programming optimization, employs a linearized alternating current network model that captures well the inherent characteristics of power network systems, and balances accuracy with computational burden. The standard IEEE 41-bus distribution system is used to test the developed model and carry out the required analysis from the standpoint of the objectives set.The results of the case study show that the integration of ESS and compensators helps to significantly increase the size of variable generation (wind and solar) in the system. For the case study, a total of 10. MW demand wind and solar power has been added to the system. One can put this into perspective with the peak load 4.635. MW in the system. This means it has been possible to integrate renewable energy source (RES) power more than twice the peak demand in the base case. It has been demonstrated that the joint planning of DGs, compensators, and ESSs, proposed in this work, bring about significant improvements to the system, such as reduction of losses, cost of electricity and emissions, voltage support, and many more.The expansion planning model proposed here can be considered a major leap forward toward developing controllable grids, which support large-scale integration of RESs (as opposed to the conventional "fit and forget" approach). It can also be a handy tool to speed up the integration of more RESs until smart-grids are materialized in the future.

Language: English

Type (Professor's evaluation): Scientific