Modelling and Optimisation Study of DIES Taking into Account IDR (Integrated Demand Response)

Authors : Christian Ndayishimiye , Lu Ling , Li Chunyu; Wadslin Frenelus

Volume/Issue : Volume 8 - 2023, Issue 1 - January

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The work presented here collects and synthesises technical requirements, implementation and optimisation methods for modelling grid-level matrix models, with particular reference to renewable energy access and controllable loads. The work presents the controlled connected load modelling approach and places it in the same economic modelling and control framework as the interconnection planning measurement generation facility. The paper uses system parameters to test model performance. The test results are used to illustrate and validate the described approach. This work will improve energy efficiency and minimise energy pollution to the environment, which has become an important issue in the energy sector as energy and environmental issues become more acute. In IDR, energy consumers can respond not only by reducing energy consumption or by choosing off-peak energy consumption, but also by changing the type of energy consumption. Increasing the level of integrated energy use has been a central objective in the optimal design of integrated energy systems (DIES), which requires an accurate assessment of energy efficiency. We introduce a new optimisation model which is compounded in deep learning techniques.

Keywords : matrix; IDR; electricity market; model performance; optimization methods.


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31 - March - 2024

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