Industry demand response in dispatch strategy for high-proportion renewable energy power system

Xinxin Long , Zhixian Ni , Yuanzheng Li , Tao Yang , Zhigang Zeng , Mohammad Shahidehpour , Tianyou Chai
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Abstract

On the power supply side, renewable energy (RE) is an important substitute to traditional energy, the effective utilization of which has become one of the major challenges in risk-constrained power system operations. This paper proposes a risk-based power dispatching strategy considering the demand response (DR) and RE utilization in the stochastic optimal scheduling of parallel manufacturing process (PMP) in industrial manufacturing enterprises (IME). First, the specific production behavior model of PMP is formulated to characterize the flexibility of power demand. Then, a two-step strategic model is proposed to comprehensively quantify multiple factors in the optimal scheduling of DR in PMP loads considering risk-based power system dispatch, thermal generators, wind power integration. Case studies are based on the modified IEEE 24-bus power system, which verify the effectiveness of the proposed strategy in optimally coordinating IME assets with generation resources for promoting the RE utilization, as well as the impacts of power transmission risk on decision performance.
高比例可再生能源发电系统调度策略中的行业需求响应
在电力供应端,可再生能源是传统能源的重要替代品,其有效利用已成为风险约束下电力系统运行的主要挑战之一。在工业制造企业并行制造过程随机优化调度中,提出了一种考虑需求响应和资源利用率的基于风险的电力调度策略。首先,建立了PMP的具体生产行为模型,以表征电力需求的灵活性。在此基础上,提出了考虑电力系统调度风险、火电机组风险、风电风险等因素的两步策略模型,对PMP负荷下DR优化调度的多因素进行了综合量化。以改进后的IEEE 24总线电力系统为例,验证了该策略在优化IME资产与发电资源协调以提高可再生能源利用率方面的有效性,以及输电风险对决策绩效的影响。
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