基于灰色模糊评价的光储型电热协同系统日前运营决策方法

doi:10.11930/j.issn.1004-9649.202210055

中国电力 ›› 2023, Vol. 56 ›› Issue (9): 215-225.DOI: 10.11930/j.issn.1004-9649.202210055

基于灰色模糊评价的光储型电热协同系统日前运营决策方法

王喆¹, 杨旭², 朱迪¹, 李香龙³, 邢其敬⁴, 王立永³, 王林钰¹

1. 国网（苏州）城市能源研究院有限责任公司，江苏苏州 215004;
2. 国网（北京）综合能源服务公司，北京 100075;
3. 国网北京市电力公司电力科学研究院，北京 100075;
4. 国网北京市电力公司，北京 100055

收稿日期:2022-10-14 修回日期:2023-07-20 发布日期:2023-09-20
作者简介:王喆(1994-),男,通信作者,硕士,从事园区级综合能源系统规划与运行优化研究,E-mail:zwan316@126.com;杨旭(1982-),男,硕士,高级工程师,从事综合能源系统运行优化研究,E-mail:13701228477@163.com
基金资助:
国家电网有限公司科技项目（面向典型区域清洁供能的电热协同跨网互济关键技术研究及示范，5400-202111575A-0-5-SF）

Research on the Day-Ahead Operation Decision Making Method for the Electric-Thermal System Based on Grey Fuzzy Evaluation

WANG Zhe¹, YANG Xu², ZHU Di¹, LI Xianglong³, XING Qijing⁴, WANG Liyong³, WANG Linyu¹

1. State Grid (Suzhou) City and Energy Research Institute Co., Ltd., Suzhou 215004, China;
2. State Grid (Beijing) Integrated Energy Services Company, Beijing 100075, China;
3. State Grid Beijing Electric Power Research Institute, Beijing 100075, China;
4. State Grid Beijing Electric Power Company, Beijing 100055, China

Received:2022-10-14 Revised:2023-07-20 Published:2023-09-20
Supported by:
This work is supported by Science and Technology Project of SGCC (No.5400-202111575A-0-5-SF)

摘要/Abstract

摘要： 光储型电热协同系统的日前运营决策会影响次日系统运行的经济性、可靠性和环保性，制定合理的运营决策计划意义重大。针对传统决策制定方法所存在的指标赋权合理性不足、未考虑信息灰性以及模糊性等问题，提出了基于灰色模糊评价的日前运营决策方法。首先，为提高指标权重的合理性，采用最小叉熵法求解考虑主、客观权重内在联系的综合权重。其次，为减小信息灰性以及模糊性对方案评分结果的负面影响，构建了面向光储型电热协同系统的灰色模糊评价模型，并基于该模型设计了日前运营决策算法，从而获取次日系统的最佳运行方案。最后，以一个工业园区光储型电热协同系统为例进行了仿真验证，结果表明所提运营决策方案可改善系统运行的经济性、可靠性和环保性。

关键词: 电热协同系统, 最小叉熵法, 灰色模糊评价, 运营决策计划, 日前运营决策

Abstract: The day-ahead operation decision of the electric-thermal system affects the economy and reliability of the next day's system operation. Therefore, it is significant to develop a reasonable operation decision plan. To solve problems of the traditional decision making method, such as the insufficient rationality of index weighting and the failure to consider the grayness and fuzziness of information, a day-ahead operation decision making method based on grey fuzzy evaluation is proposed. To improve the rationality of index weights, the minimum-cross entropy method is used to obtain comprehensive weights that consider the intrinsic connection between subjective and objective weights. To reduce the negative impact of information grayness and expert scoring ambiguity on the solution scoring, this paper constructs a grey fuzzy evaluation model for the electric-thermal system and designs a day-ahead operation decision algorithm based on this model. Finally, this algorithm is used to develop a day-ahead operation decision scheme for an electric-thermal system located at an industrial park. The results show that the operation decision scheme can improve the economy and reliability of the system.

Key words: electric-thermal system, minimum-cross entropy method, gray fuzzy evaluation, operation decision plan, day-ahead decision-making

王喆, 杨旭, 朱迪, 李香龙, 邢其敬, 王立永, 王林钰. 基于灰色模糊评价的光储型电热协同系统日前运营决策方法[J]. 中国电力, 2023, 56(9): 215-225.

WANG Zhe, YANG Xu, ZHU Di, LI Xianglong, XING Qijing, WANG Liyong, WANG Linyu. Research on the Day-Ahead Operation Decision Making Method for the Electric-Thermal System Based on Grey Fuzzy Evaluation[J]. Electric Power, 2023, 56(9): 215-225.

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基于灰色模糊评价的光储型电热协同系统日前运营决策方法

Research on the Day-Ahead Operation Decision Making Method for the Electric-Thermal System Based on Grey Fuzzy Evaluation

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基于灰色模糊评价的光储型电热协同系统日前运营决策方法

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