Flexible operation of grid-connected microgrid using ES

• Published in: IET generation, transmission & distribution Vol. 14; no. 2; pp. 254 - 264
• Main Authors: Norouzi, Mohammadali, Aghaei, Jamshid, Pirouzi, Sasan, Niknam, Taher, Lehtonen, Matti
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 31.01.2020
• Subjects: 33‐bus IEEE test system; demand‐side management; distributed power generation; distribution networks; electric spring; energy price; ES model; flexible operation; flexible resource; flexi‐renewable microgrid; forecasted load demand; general algebraic modelling system software; grid‐connected microgrid; influential solutions; intermittent nature; load flow; operating cost; optimisation; optimisation problem; renewable generations; Research Article; RGs constraints; RGs output; roulette wheel mechanism; scenario generation process; smart active distribution network; static model; stochastic problem; system flexibility; technical system limitations; static model; energy price; RGs output; distribution networks; smart active distribution network; distributed power generation; 33-bus IEEE test system; optimisation problem; optimisation; grid-connected microgrid; ES model; electric spring; flexible operation; forecasted load demand; general algebraic modelling system software; technical system limitations; flexi-renewable microgrid; RGs constraints; system flexibility; renewable generations; flexible resource; scenario generation process; operating cost; influential solutions; stochastic problem; roulette wheel mechanism; load flow; demand-side management; intermittent nature
• ISSN: 1751-8687; 1751-8695
• DOI: 10.1049/iet-gtd.2019.0483

This study presents a new solution to cope with the intermittent nature of renewable generations (RGs) and facilitate the integration of RGs in the smart active distribution network. Electric spring (ES) as one of the most influential solutions in demand-side management is proposed as a flexible resource for flexible operation of grid-connected microgrid against other sources of uncertainty such as forecasted load demand and energy price as well as the RGs output. This innovative approach has been considered in the context of a stochastic problem by presenting the static model of ES for the first time. The modelling of uncertainties is done by the roulette wheel mechanism as a scenario generation process and backward method for reducing the number of scenarios. In the proposed optimisation problem, the objective function is minimising the operating cost and voltage deviation as well as maximising system flexibility, subject to the AC power flow, ES and RGs constraints and technical system limitations. Finally, the proposed solution is tested on 33-bus IEEE test system by the general algebraic modelling system software. The case studies demonstrate the efficiency of the proposed ES model in different simulation and experimental cases in providing flexi-renewable microgrid.