Multiple Demand Response Models for Integrated Energy Systems Based on Electric-Heat Loads

Optimal scheduling of power networks can improve the balance of power loads and the efficiency of energy utilisation by reasonably allocating power resources and controlling the power transmission process, providing reliable power support for socio-economic development. Therefore, it is also crucial to strengthen the research on day-ahead scheduling of power networks. Firstly, considering the response variability of different demand-side resources, a multi-type integrated demand response (IDR) model taking into account price-type and incentive-type is established, secondly, to reduce the impact of source and load forecast errors on IES operation, a dual time-scale optimisation smoo thing model is constructed, and lastly, the arithmetic simulation is set up with different scenarios for comparative analyses.

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Published
2024-08-04
DOI
https://doi.org/10.1109/icma61710.2024.10633175
Primary Topic
Smart Grid Energy Management
Type
article
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article

Multiple Demand Response Models for Integrated Energy Systems Based on Electric-Heat Loads

Yanjuan Wu, Qing Li, Jianniang Qiu
Smart Grid Energy Management
article

Multiple Demand Response Models for Integrated Energy Systems Based on Electric-Heat Loads

Yanjuan Wu, Qing Li, Jianniang Qiu
article en

Abstract

Optimal scheduling of power networks can improve the balance of power loads and the efficiency of energy utilisation by reasonably allocating power resources and controlling the power transmission process, providing reliable power support for socio-economic development. Therefore, it is also crucial to strengthen the research on day-ahead scheduling of power networks. Firstly, considering the response variability of different demand-side resources, a multi-type integrated demand response (IDR) model taking into account price-type and incentive-type is established, secondly, to reduce the impact of source and load forecast errors on IES operation, a dual time-scale optimisation smoo thing model is constructed, and lastly, the arithmetic simulation is set up with different scenarios for comparative analyses.

Tianjin University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 90%
Smart Grid Energy Management
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