考虑实时市场平衡费用的含风电日前市场电能-备用联合出清模型

doi:10.11930/j.issn.1004-9649.202005128

摘要/Abstract

摘要： 风电出力的不确定性为日前市场出清带来了挑战。提出一种风电参与的日前电能-备用联合出清模型，采用多场景技术描述风电出力的不确定性，基于场景集合求解模型达到出清结果。所提出的模型引入风电出力不确定性所带来的备用购买费用和实时市场的平衡费用来考虑日前市场出清结果对实时市场的影响，以达到减少实时市场的平衡压力，保障系统稳定运行的效果。同时该模型考虑弃风和失负荷惩罚费用来保障风电资源的充分利用和系统的安全稳定运行。改进的IEEE30系统算例结果对比及分析表明，所提出的模型可充分利用风电资源，有效降低日前市场电能生产成本，并减少弃风量，降低失负荷风险。在风电大规模接入电力系统的情况下具有较好的实际应用价值。

关键词: 风电不确定性, 日前市场出清, 多场景技术, 电能-备用联合出清模型, 实时市场平衡费用, 弃风, 失负荷

Abstract: The uncertainty of wind power generation has posed a challenge to day-ahead electricity market clearing. A novel day-ahead energy-reserve joint clearing model considering the participation of wind power is proposed in this paper. The multi-scenario technique is adopted to describe the uncertainty of wind power output, which is the base of clearing model calculation. The proposed model can mitigate the operation pressure of the real-time market and ensure the stability of system by introducing the reserve clearing cost and the balancing cost of the real-time market. At the same time, the model considers the penalty cost of wind curtailment and load loss to ensure the full utilization of wind power resources and the stability of power system. A case study of an improved IEEE30 system shows that the proposed model can fully utilize wind power resources, effectively reduce the cost of power generation in day-ahead market, as well as reduce the risk of wind curtailment and load loss, and it may have good practical application prospect for the power system with high permeability of wind power generation.

Key words: uncertainty of wind power generation, day-ahead electricity market clearing, multi-scenario technique, energy and reserve clearing joint model, real-time market balancing cost, wind curtailment, load loss

王志成, 王秀丽, 王帅. 考虑实时市场平衡费用的含风电日前市场电能-备用联合出清模型[J]. 中国电力, 2020, 53(9): 19-27.

WANG Zhicheng, WANG Xiuli, WANG Shuai. Day-Ahead Market Energy-Reserve Joint Clearing Model Considering Real-Time Market Balancing Cost under Participation of Wind Power Generation[J]. Electric Power, 2020, 53(9): 19-27.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202005128

https://www.electricpower.com.cn/CN/Y2020/V53/I9/19

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