中国电力 ›› 2022, Vol. 55 ›› Issue (1): 64-74.DOI: 10.11930/j.issn.1004-9649.202011068

• 含大规模储能的高比例新能源电力系统协调规划与优化调度技术专栏 • 上一篇    下一篇

计及条件风险成本的含EH-CSP电站多源发电系统优化运行

彭春华, 刘懿, 孙惠娟   

  1. 华东交通大学 电气与自动化工程学院, 江西 南昌 330013
  • 收稿日期:2020-11-16 修回日期:2021-08-13 出版日期:2022-01-28 发布日期:2022-01-20
  • 作者简介:彭春华(1973-),男,通信作者,教授,博士生导师,从事电力系统优化调度、配电网规划研究,E-mail:chinapch@163.com;刘懿(1993-),男,硕士研究生,从事电力系统优化运行研究,E-mail:454407878@qq.com;孙惠娟(1982-),女,副教授,从事智能电网调度与规划研究,E-mail:sunhuijuan1982@163.com
  • 基金资助:
    国家自然科学基金资助项目(51867008);江西省自然科学基金资助项目(20192ACBL20007, 20202BAB204024);江西省教育厅科技项目(GJJ1903013)

Optimal Operation of Multi-Source Power Generation System with Electric Heater and Concentrating Solar Power Plant Considering Conditional Risk Cost

PENG Chunhua, LIU Yi, SUN Huijuan   

  1. School of Electrical & Electronics Engineering, East China Jiaotong University, Nanchang 330013, China
  • Received:2020-11-16 Revised:2021-08-13 Online:2022-01-28 Published:2022-01-20
  • Supported by:
    This work is supported by the National Natural Science Foundation of China (No. 51867008), Jiangxi Provincial Natural Science Foundation (No.20192ACBL20007, No.20202BAB204024) and Science and Technology Project of Education Department of Jiangxi Province (No.GJJ1903013)

摘要: 随着风电场接入电网的规模不断扩大,风电出力的不确定性给电力系统调度带来巨大的挑战。利用太阳能光热发电(concentrating solar power,CSP)良好的调节能力以及电加热装置(electric heater,EH)的风电消纳能力,平抑风电出力的波动性,并采用条件风险价值(conditional value-at-risk, CVaR)度量调度成本不确定性风险。以多个场景集下的综合成本最小为目标,构建计及条件风险成本的含EH-CSP电站多源发电系统优化运行模型。引入精英存档策略,提出一种含精英存档的微分进化鲸鱼优化算法对模型进行求解。结果验证了所提模型和方法的优越性,并分析不同置信水平对调度结果的影响。

关键词: 风电, 太阳能光热发电, 电加热装置, 条件风险成本, 微分进化鲸鱼优化算法

Abstract: With the continuous expansion of the wind farm scale connected to the power grid, the uncertainty of wind power output has brought great challenges to the dispatch of power systems. To this end, this paper relied on the good regulation of concentrating solar power (CSP) and the wind power accommodation of the electric heater (EH) to stabilize the volatility of wind power output and used conditional value-at-risk (CVaR) to measure the uncertainty risk of dispatch cost. For the minimal comprehensive cost under multiple scenarios, an optimal operation model of a multi-source power generation system with the EH-CSP plant considering conditional risk cost was constructed. The elite archiving strategy was adopted, and a differential evolution whale optimization algorithm with the elite archive was proposed to solve the model. The results verify the superiority of the proposed model and method, and the impact of different confidence levels on the scheduling results is analyzed.

Key words: wind power, concentrating solar power, electric heater, conditional risk cost, differential evolution whale optimization algorithm