• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2024, Vol. 45 ›› Issue (1): 157-166.doi: 10.12204/j.issn.1000-7229.2024.01.015

• 电力经济研究 • 上一篇    

考虑风电时空特性和相对波动率的平衡成本分摊方法

何义琼1(), 李鑫1(), 贾海清1(), 刘长玺1(), 刘茹1(), 谷旭东2(), 雷霞2()   

  1. 1.内蒙古东部电力交易中心有限公司,呼和浩特市 010000
    2.西华大学电气与电子信息学院,成都市 610039
  • 收稿日期:2023-03-03 出版日期:2024-01-01 发布日期:2023-12-24
  • 通讯作者: 雷霞(1973),女,博士,教授,主要研究方向为电力市场、调度自动化、配电自动化,E-mail:snow_lei246@mail.xhu.edu.cn
  • 作者简介:何义琼(1976),女,硕士,高级工程师,主要从事电力市场建设工作,E-mail: 2489618@163.com;
    李鑫(1971),男,本科,高级工程师,主要从事电力市场建设、市场政策研究工作,E-mail:550371586@qq.com;
    贾海清(1974),男,本科,高级工程师,主要从事电力市场建设、市场政策研究工作,E-mail:196364162@qq.com;
    刘长玺(1977),男,本科,高级工程师,主要从事电力交易策略、新能源交易规则研究工作,E-mail:1113403423@qq.com;
    刘茹(1973),女,本科,高级工程师,主要从事电力市场交易结算、结算规则研究工作,E-mail:1016354498@qq.com;
    谷旭东(1993),男,硕士研究生,主要研究方向为电力市场与新能源,E-mail:404489037@qq.com
  • 基金资助:
    国家自然科学基金项目(51877181);国网内蒙古东部电力有限公司科技项目(526601220045)

Method for Wind Power Balancing Cost Allocation Considering Spatiotemporal Characteristics of Wind Power and Relative Volatility

HE Yiqiong1(), LI Xin1(), JIA Haiqing1(), LIU Changxi1(), LIU Ru1(), GU Xudong2(), LEI Xia2()   

  1. 1. Inner Mongolia Eastern Electric Power Trading Center Company, Hohhot 010000, China
    2. School of Electrical Engineering and Electronic Information, Xihua University, Chengdu 610039, China
  • Received:2023-03-03 Published:2024-01-01 Online:2023-12-24
  • Supported by:
    National Natural Science Foundation of China(51877181);Science and Technology Project of State Grid Inner Mongolia Eastern Power Co., Ltd.(526601220045)

摘要:

针对我国持续提升风电消纳能力和实现可持续发展的目标,结合电力现货市场建设需求,研究和提出了考虑风电时空特性和相对负荷功率波动对系统运行影响的风电平衡成本分摊方法。借助“等电量-顺负荷”方法构造了零风电平衡成本等效场景,对系统进行日前优化调度,通过对比预测场景和等效场景优化调度的系统总运行成本,求解调度周期风电总平衡成本;在考虑各风电场空间分布及容量的基础上,建立了各风电场间的平衡成本分摊模型;提出了定量描述风电相对负荷波动功率时序演进特征的指标即分时段相对波动率,并给出相应的模型;基于分时段相对波动率获取局部波动影响因子对风电调度周期总平衡成本逐时段进行分摊,得到风电分时段平衡成本。以某含高比例风电地区网架结构为例,对不同风电并网容量、不同风电波动程度系统的分时段平衡成本进行了测算,验证了所提计算方法和模型的有效性。

关键词: 风电平衡成本分摊, 分时段平衡成本, 风力发电, 优化调度, 分时段相对波动率

Abstract:

A wind-power balance cost allocation method was developed in response to China’s goal of increasing wind-power consumption capacity and achieving sustainable development, combined with the need for electricity spot market construction. The proposed method considers the spatiotemporal characteristics of wind power and the impact of relative load power fluctuations on system operation. The “equal electricity quantity following load” method was used to construct a zero-wind power balance cost equivalent scenario to optimize and dispatch system operation in advance. By comparing the predicted scenario with the equivalent scenario of the optimized dispatch, the total operating cost of wind power balance was solved for the dispatch cycle. Based on the spatial distribution and capacity of each wind power plant, a balance cost allocation model between wind power plants was established. An indicator, the relative fluctuation rate of each time period, was proposed to quantitatively express the temporal evolution characteristics of wind-power relative load fluctuations, and the corresponding model was established. Based on the relative fluctuation rate of each time period, the local fluctuation impact factor was obtained to allocate the wind-power balance cost of the dispatch cycle by time period, resulting in wind power balance costs for each time period. Using the grid structure of a region with a high proportion of wind power as an example, the balance costs of different wind-power grid capacities and fluctuation levels were calculated to verify the effectiveness of the proposed calculation method and model.

Key words: balanced cost sharing among wind farms, time-segment balancing cost, wind power generation, optimal scheduling, time-of-day relative volatility

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