TWO-STAGE OPTIMAL SCHEDULING CONSIDERING CCGP AND LOW-CARBON NATURE OF SOURCE SIDE AND LOAD SIDE

Zhang Panzhao; Xie Lirong; Yang Jianbin; Ma Ruizhen; Ma Wei

doi:10.19912/j.0254-0096.tynxb.2021-1467

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (5) : 336-341. DOI: 10.19912/j.0254-0096.tynxb.2021-1467

TWO-STAGE OPTIMAL SCHEDULING CONSIDERING CCGP AND LOW-CARBON NATURE OF SOURCE SIDE AND LOAD SIDE

Zhang Panzhao¹, Xie Lirong¹, Yang Jianbin¹, Ma Ruizhen¹, Ma Wei^1,2

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Abstract

In the context of low-carbon economy, a two-stage scheduling model considering low-carbon nature of source side and load side and chance constrained goal programming （CCGP） is proposed to solve the global information mismatch problem caused by high carbon emission and source-load prediction error. Firstly, in the planning stage, considering the low-carbon economy and security of source-load, a scheduling model considering carbon trading and source-load uncertainty after demand response is established. Then, the adjustment stage takes into account the prediction information mismatch and incentive load, and optimizes the real-time output with the minimum output adjustment deviation. Finally, the model is transformed by deterministic equivalence theory and verified in the improved IEEE 30-bus system. The results show that the proposed model effectively reduces the system’s carbon emissions and operating costs, improves the wind power accommodation capacity and evaluates the demand for reserve capacity shortage.

Key words

carbon trading / demand response / chance constrained goal programming / reserve capacity / unit commitment

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Zhang Panzhao, Xie Lirong, Yang Jianbin, Ma Ruizhen, Ma Wei. TWO-STAGE OPTIMAL SCHEDULING CONSIDERING CCGP AND LOW-CARBON NATURE OF SOURCE SIDE AND LOAD SIDE[J]. Acta Energiae Solaris Sinica. 2023, 44(5): 336-341 https://doi.org/10.19912/j.0254-0096.tynxb.2021-1467

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