journal article·2021-04-07Open access

Renewable Generation and Transmission Expansion Planning Coordination with Energy Storage System: A Flexibility Point of View

Mohammad Reza Ansari, Sasan Pirouzi, Mostafa Kazemi, Amirreza Naderipour, Mohamed Benbouzid

Applied Sciences· Volume 11· Issue 8

Abstract

This paper presents a method for coordinated network expansion planning (CNEP) in which the difference between the total cost and the flexibility benefit is minimized. In the proposed method, the generation expansion planning (GEP) of wind farms is coordinated with the transmission expansion planning (TEP) problem by using energy storage systems (ESSs) to improve network flexibility. To consider the impact of the reactive power in the CNEP problem, the AC power flow model is used. The CNEP constraints include the AC power flow equations, planning constraints of the different equipment, and the system operating limits. Therefore, this model imposes hard nonlinearity onto the problem, which is linearized by the use of first-order Taylor’s series and the big-M method as well as the linearization of the circular plane. The uncertainty of loads, the energy price, and the wind farm generation are modeled by scenario-based stochastic programming (SBSP). To determine the effectiveness of the proposed solution approach, it is tested on the IEEE 6-bus and 24-bus test systems using GAMS software.
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Research context

OpenAlex topics: Electric Power System Optimization · Optimal Power Flow Distribution · Microgrid Control and Optimization

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Electrical Engineering, Shahreza Campus, University of Isfahan, Isfahan 8174673441, Iran

Faculty of Engineering, Semirom Branch, Islamic Azad University, Semirom, Esfahan 8661973575, Iran

Institute of High Voltage & High Current, School of Electrical Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia

Institut de Recherche Dupuy de Lôme (UMR CNRS 6027 IRDL), University of Brest, UMR CNRS 6027 IRDL, 29238 Brest, France

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