Optimal Power Dispatch of Renewable and Non-Renewable Generation through a Second-Order Conic Model

• Type: Article in International Conference Proceedings Book
• Date: 2021

Authors

Yamaguti, LD (Author) Other; Home Ortiz, JM (Author) Other; Pourakbari Kasmaei, M (Author) Other; Santos, SF (Author) Other; Mantovani, JRS (Author) Other; Catalao, JPS (Author) FEUP

Conference proceedings International

Title: 2021 21ST IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2021 5TH IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC/I&CPS EUROPE)

21st IEEE International Conference on Environment and Electrical Engineering / 5th IEEE Industrial and Commercial Power Systems Europe (EEEIC/I and CPS Europe)

Politecnico Bari, Bari, ITALY, SEP 07-10, 2021

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Other information

Authenticus ID: P-00W-BDN

DOI: 10.1109/eeeic/icpseurope51590.2021.9584817

Abstract (EN): This work presents an extension of a second-order conic programming model (SOCP) to handle the multi-objective optimal power dispatch problem considering the probabilistic nature of some parameters related to power demand and the renewable energy sources (RES) generation, such as wind speed and solar irradiation level. Three objective functions are considered in this study: 1) costs of RES and non-RES generation; 2) active power losses in the transmission system; and, 3) emission pollutant gases produced by fossil fuel-based generating units. The stochastic nature of power demands and RES are developed through a set of representative operational scenarios extracted from historical data and via a scenario reduction technique. The results obtained in the SOCP model are compared with a nonlinear programming (NLP) model to check the robustness and precision of SOCP model. To this, both models are implemented and processed to simulate the optimal flow for the IEEE 57- and 118-bus systems.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6