Nuclear-Pumped Storage Combined Operation Planning Based on Production Simulation and Entropy Weight Method

ZHUO Dingming; DU Rui; YANG Yuantong; GE Hailin; YANG Jiawei; XU Zhenzhen; YI Yang

doi:10.11930/j.issn.1004-9649.202506027

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Nuclear-Pumped Storage Combined Operation Planning Based on Production Simulation and Entropy Weight Method

更新时间：2025-10-29

- Nuclear-Pumped Storage Combined Operation Planning Based on Production Simulation and Entropy Weight Method
- Vol. 58, Issue 10, Pages: 180-187(2025)
- 作者机构：
  
  1. 广东电网有限责任公司惠州惠阳供电局,广东,惠州,516000
  2. 东方电气集团科学技术研究院有限公司,四川,成都,611731
  3. 福州大学电气工程与自动化学院,福建,福州,350108
- 作者简介：
- 基金信息：
- DOI：10.11930/j.issn.1004-9649.202506027
  CLC：
- Published Online：23 October 2025，
  
  Published：2025
- 稿件说明：
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卓定明, 杜瑞, 杨远通, 葛海麟, 杨嘉伟, 徐箴箴, 易杨. 基于生产模拟与熵权法的“核蓄”联营规划[J]. 中国电力, 2025, 58(10): 180-187.

ZHUO Dingming, DU Rui, YANG Yuantong, et al. Nuclear-Pumped Storage Combined Operation Planning Based on Production Simulation and Entropy Weight Method[J]. 2025, 58(10): 180-187.
卓定明, 杜瑞, 杨远通, 葛海麟, 杨嘉伟, 徐箴箴, 易杨. 基于生产模拟与熵权法的“核蓄”联营规划[J]. 中国电力, 2025, 58(10): 180-187. DOI： 10.11930/j.issn.1004-9649.202506027.

ZHUO Dingming, DU Rui, YANG Yuantong, et al. Nuclear-Pumped Storage Combined Operation Planning Based on Production Simulation and Entropy Weight Method[J]. 2025, 58(10): 180-187. DOI： 10.11930/j.issn.1004-9649.202506027.

摘要

抽水蓄能调峰削谷效果明显，与核电联营能够稳定核电利用小时数，但也将压缩新能源发电的消纳空间。针对这一矛盾，立足于系统效益开展了“核蓄”联营的规划研究。从出力等效与经济效益2个维度界定“核蓄”联营的合理配比。在此基础上，基于8 760 h生产模拟获取不同“核蓄”联营规模的系统发电成本、新能源消纳率、煤电发电量等关键数据画像。基于熵权法赋予关键指标客观权重，将多元数据凝聚为综合评价，准确推荐最优联营规模。结果表明，所建立的分析方法能够满足多指标维度下的“核蓄”联营规划，同时以合理规模开展“核蓄”联营能够获得关键指标约束下的最优综合效益。

Abstract

Pumped storage demonstrates significant peak-shaving and valley-filling effects. While combined operations with nuclear power can stabilize the utilization hours of nuclear plants

they may also compress the generation space for renewable energy. To address this conflict

this paper explores the planning of "nuclear-pumped storage" combined operation from system benefits. First

the reasonable installation ratio is studied from two dimensions: output equivalence and economic benefits. On this basis

using an 8 760-hour production simulation

it obtains key data profiles such as system generation costs

renewable energy accommodation rates

and coal power generation volumes for different combined operation scales. Finally

based on the objective weights assigned to key indicators by the entropy weight method

it integrates multiple data into a comprehensive evaluation to accurately recommend the optimal combined operation scale. The results indicate that the established analysis method can meet the requirements for combined operation planning across multiple indicator dimensions; conducting combined operation at a reasonable scale can achieve optimal overall benefits under the constraints of key indicators.

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references

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