Multiobjective generation and transmission expansion planning of renewable dominated power systems using stochastic normalized normal constraint

Arasteh, Hamidreza; Kia, Mohsen; Vahidinasab, Vahid; Shafie-khah, Miadreza; Catalão, João P.S.

Abstract

This paper proposes a comprehensive framework for generation and transmission planning of renewable dominated power systems, which is formulated as a stochastic multi objective problem. In this regard, a Normalized Normal Constraint (NNC) solution approach is proposed to solve the introduced stochastic multiobjective generation and transmission planning (GTP) problem. The NNC is utilized in this paper as a relation between different objective functions with different dimensions to find the optimal weighting factors of these objectives. The NNC is applied for solving the GTP problem with objective functions including the investment and operation costs along with the transmission losses, while considering the cost of unserved energy, as well as the uncertainty of load and Renewable Energy Resources (RERs). A fuzzy-based decision making framework is utilized to select the best solution among the optimal non-dominated solution points. A scenario-based approach is used to model the uncertainties. The Garver 6-bus and IEEE 118-bus test systems are utilized to perform the numerical analysis. The simulation results validate the performance and importance of the proposed model, as well as the effectiveness of the NNC to find the evenly distributed Pareto solutions of the multi objective problems.

• Journal Article Type: Article
• Acceptance Date: Apr 9, 2020
• Online Publication Date: Apr 22, 2020
• Publication Date: 2020-10
• Deposit Date: Mar 5, 2025
• Journal: International Journal of Electrical Power & Energy Systems
• Print ISSN: 0142-0615
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 121
• Article Number: 106098
• DOI: https://doi.org/10.1016/j.ijepes.2020.106098