Flexible operation of grid‐connected microgrid using ES
| Autor: | Sasan Pirouzi, Taher Niknam, Matti Lehtonen, Mohammadali Norouzi, Jamshid Aghaei |
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| Rok vydání: | 2019 |
| Předmět: |
Flexibility (engineering)
Computer science 020209 energy 020208 electrical & electronic engineering Energy Engineering and Power Technology Context (language use) Control engineering 02 engineering and technology AC power Grid Control and Systems Engineering 0202 electrical engineering electronic engineering information engineering Microgrid Electrical and Electronic Engineering Operating cost Voltage System software |
| Zdroj: | IET Generation, Transmission & Distribution. 14:254-264 |
| ISSN: | 1751-8695 |
| DOI: | 10.1049/iet-gtd.2019.0483 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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