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Multi-Time Period Optimal Dispatch Strategy for Integrated Energy System Considering Renewable Energy Generation Accommodation

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  • Chutian Yu

    (Economic and Technology Research Institute, State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 310000, China)

  • Xinyi Lai

    (School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Fei Chen

    (Economic and Technology Research Institute, State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 310000, China)

  • Chenwei Jiang

    (School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Yikai Sun

    (Economic and Technology Research Institute, State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 310000, China)

  • Lijun Zhang

    (Economic and Technology Research Institute, State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 310000, China)

  • Fushuan Wen

    (Hainan Institute, Zhejiang University, Sanya 572000, China)

  • Donglian Qi

    (Hainan Institute, Zhejiang University, Sanya 572000, China)

Abstract

With the target of carbon peaking and carbon neutrality, renewable energy generation (REG) develops rapidly. The increasing penetration of REG brings along the problems of fluctuation in power flow and the possible abandonment of wind and photovoltaics (PV) generation. In this context, the so-called integrated energy system (IES) becomes a promising solution to the accommodation of REG thanks to energy storage systems and coupling devices inside. In this paper, the optimal operation model of an IES is first presented, with the schemes of green certificate trading and carbon emission right trading included to provide economic incentives for accommodating REG. Next, in order to address the problem of uncertainty in REG, the devices in the IES are divided into three types based on regulation flexibility, and a multi-time period optimal dispatching scheme is proposed, including day-ahead optimal scheduling, rolling optimal dispatching, and real-time control strategy. Finally, it is demonstrated by simulation results of a numerical example that the proposed method not only promotes the accommodation capability for REG but can also cope well with contingencies.

Suggested Citation

  • Chutian Yu & Xinyi Lai & Fei Chen & Chenwei Jiang & Yikai Sun & Lijun Zhang & Fushuan Wen & Donglian Qi, 2022. "Multi-Time Period Optimal Dispatch Strategy for Integrated Energy System Considering Renewable Energy Generation Accommodation," Energies, MDPI, vol. 15(12), pages 1-18, June.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:12:p:4329-:d:837936
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    References listed on IDEAS

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    Cited by:

    1. Dan Zhou & Qi Zhang & Yangqing Dan & Fanghong Guo & Jun Qi & Chenyuan Teng & Wenwei Zhou & Haonan Zhu, 2022. "Research on Renewable-Energy Accommodation-Capability Evaluation Based on Time-Series Production Simulations," Energies, MDPI, vol. 15(19), pages 1-15, September.
    2. Yitao Zhao & Xin Lv & Xin Shen & Gang Wang & Zhao Li & Pinqin Yu & Zhao Luo, 2023. "Determination of Weights for the Integrated Energy System Assessment Index with Electrical Energy Substitution in the Dual Carbon Context," Energies, MDPI, vol. 16(4), pages 1-15, February.

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