AUTHOR=Cai Linjun , Xie Dongliang , Xue Feng , Zhang Huilin
TITLE=Two-stage low-carbon optimal dispatch of the power system considering demand response to defend large uncertainties and risks
JOURNAL=Frontiers in Energy Research
VOLUME=12
YEAR=2024
URL=https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2024.1361919
DOI=10.3389/fenrg.2024.1361919
ISSN=2296-598X
ABSTRACT=Introduction: In order to promote the consumption of renewable energy, reduce carbon emissions, and take into account the uncertainty of renewable energy output and load fluctuations in the new power system that can affect the normal operation of market mechanism, a two-stage low-carbon optimization scheduling method for power system that considers demand response under multiple uncertainties is proposed in this paper.
Methods: Uncertain scene sets are generated through Latin hypercube sampling and heuristic synchronous backpropagation method is used to reduce scenes to obtain typical scenes and their probabilities. Then, a one-stage optimization model is established with the goal of maximizing energy efficiency and corresponding demand response strategies are obtained. Green certificate carbon trading joint mechanism model consisting of tiered green certificate trading and time-sharing tiered carbon trading are established, and the output of two-stage units are optimized with the goal of minimizing comprehensive operating costs.
Result: The simulation results show that the carbon emissions are decreased by 251.57 tons, the consumption rate of renewable energy is increased by 8.64%, and the total costs are decreased by 124.0612 million yuan.
Discussion: From this, it can be seen that the dual layer low-carbon optimization scheduling strategy for power system considering demand response under multiple uncertainties can effectively reduce the operating costs and carbon emissions of the system, while balancing the economic and environmental aspects of power system operation.