考虑灵活性收益的需求侧资源可行域聚合方法

doi:10.11930/j.issn.1004-9649.202110056

中国电力 ›› 2022, Vol. 55 ›› Issue (9): 56-63,155.DOI: 10.11930/j.issn.1004-9649.202110056

考虑灵活性收益的需求侧资源可行域聚合方法

周海浪¹, 刘一畔¹, 陈雨果², 王子石², 瞿圣朋², 何凯², 包诗媛²

1. 国网重庆市电力公司营销服务中心，重庆 400023;
2. 北京清能互联科技有限公司，北京 100084

收稿日期:2021-11-10 修回日期:2022-05-20 出版日期:2022-09-28 发布日期:2022-09-20
作者简介:周海浪（1976—），男，高级工程师，从事电力营销、电能替代、需求侧响应及综合能源管理工作，E-mail：zhouhailang1976@163.com;刘一畔（1991—），男，助理工程师，从事电力营销、综合能源管理工作，E-mail：liuyipan@163.com;包诗媛（1994—），女，通信作者，博士研究生，从事多能源系统优化调度研究，E-mail：894227574@qq.com
基金资助:
国网重庆市电力公司科技项目（基于能源流深度感知的能源互联网用能优化技术和应用，SGCQKH00SCJS2100110）。

Demand Side Feasible Region Aggregation Considering Flexibility Revenue

ZHOU Hailang¹, LIU Yipan¹, CHEN Yuguo², WANG Zishi², QU Shengpeng², HE Kai², BAO Shiyuan²

1. Marketing Service Center, State Grid Chongqing Electric Power Co., Ltd., Chongqing 400023, China;
2. Beijing Tsintergy Internet Technology Co., Ltd., Beijing 100084, China

Received:2021-11-10 Revised:2022-05-20 Online:2022-09-28 Published:2022-09-20
Supported by:
This work is supported by the Science and Technology Project of State Grid Chongqing Electric Power Co., Ltd. (Energy Consumption Technology Optimization and Application of Energy Internet Based on Deep Perception of Energy Flow, No.SGCQKH00SCJS2100110)

摘要/Abstract

摘要： 为实现需求侧灵活性资源的高效协同调控，一般将其以聚合体的形式参与电力市场。灵活性资源聚合问题的数学本质是求取若干资源运行可行域的闵科沃夫斯基和，该问题的计算负担随聚合对象的维度和数量增加呈指数增长趋势。考虑灵活性在不同时段的收益差异，利用奇诺多面体表征参数的特殊性质实现可行域快速聚合。首先，建立灵活性资源可行域在奇诺多面体表征形式下的近似模型，相较现有模型保留爬坡特性对可行域边界特征的影响；然后，引入随机搜索方法，提升可行域近似模型的求解效率；最后，考虑灵活性资源出力在不同时段的收益差异，提出可行域近似模型的优化目标权重修正策略。基于真实电价数据及储能模型验证了所提方法的有效性。

关键词: 电力市场, 需求侧资源, 可行域聚合, 灵活性收益, 奇诺多面体

Abstract: The flexibility of demand-side resources needs to be aggregated through a feasible region aggregation technique to participate in the spot market. This paper presents a feasible region aggregation method of demand-side resources considering flexibility revenue. Firstly, a feasible region approximation method based on Zonotope is presented, which could approximate the feasible region of power, state, and climbing constraints effectively. Secondly, the revenue of flexibility in different periods is considered, and the feasible domain with variable weight is designed to approximate the optimization objective. Finally, the efficient aggregation of the feasible domain of demand-side resources is realized, which provides the system with high-value flexible resources. The validity of the proposed method is verified based on real electricity price data and the energy storage model.

Key words: electricity market, demand-side resources, feasible region aggregation, flexibility revenue, zonotope

周海浪, 刘一畔, 陈雨果, 王子石, 瞿圣朋, 何凯, 包诗媛. 考虑灵活性收益的需求侧资源可行域聚合方法[J]. 中国电力, 2022, 55(9): 56-63,155.

ZHOU Hailang, LIU Yipan, CHEN Yuguo, WANG Zishi, QU Shengpeng, HE Kai, BAO Shiyuan. Demand Side Feasible Region Aggregation Considering Flexibility Revenue[J]. Electric Power, 2022, 55(9): 56-63,155.

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考虑灵活性收益的需求侧资源可行域聚合方法

Demand Side Feasible Region Aggregation Considering Flexibility Revenue

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考虑灵活性收益的需求侧资源可行域聚合方法

Demand Side Feasible Region Aggregation Considering Flexibility Revenue

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