Multi-time scale low-carbon dispatching strategy for industrial parks based on energy routers
In order to solve the problem of large error in the day-ahead scheduling plan of the integrated energy system of industrial energy-consuming parks caused by the random characteristics of renewable energy,a multi-time scale low-carbon dispatching strategy of the integrated energy system based on the energy router was proposed based on the control characteristics of the energy router.In the day-ahead optimization scheduling stage,considering the low-carbon and economic performance of the system,the equipment output is optimized with the goal of minimizing the daily operating cost and environmental cost,and in the intra-day scheduling stage,considering the problem of energy response time difference and source-load mismatch,an adaptive time-scale intraday rolling plan scheduling strategy is proposed,and the intraday rolling plan scheduling cycle is reasonably switched according to the operation status of the system after the day-ahead scheduling,so as to realize the repeated correction of the day-ahead scheduling plan.The simulation results show that the proposed method can reduce the influence of renewable energy,load and other factors on the optimal operation of the system under different time scales,reduce the carbon emissions of the system,and ensure the low-carbon and reliable operation of the integrated energy system in the park.
industrial parksintegrated energy systemsenergy routersmultiple time scales
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