| 引用本文: | 崔杨,安宁,付小标,修志坚,赵钰婷,仲悟之.考虑风电消纳与火-储深度调峰的系统优化调度及补偿费用分摊策略[J].电力自动化设备,2023,43(5): |
| CUI Yang,AN Ning,FU Xiaobiao,XIU Zhijian,ZHAO Yuting,ZHONG Wuzhi.Optimal scheduling of system and compensation cost sharing strategy considering wind power consumption and thermal-storage deep peak shaving[J].Electric Power Automation Equipment,2023,43(5): |
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| 摘要: |
| 制定合理的深度调峰补偿分配机制是能源转型过程中必须解决的问题。将价格型需求响应(PDR)考虑在内，建立计及风电消纳与火-储深度调峰的系统优化调度模型。在此基础上综合考虑多种分摊因素建立分摊策略，为市场提供一种火-储补偿费用分摊的新思路。实施PDR优化负荷曲线，同时为独立储能电站(IESPS)提供套利基础；利用火电、IESPS深度调峰以促进系统调峰能力的释放，为分摊策略的建立提供数据支撑；针对火电、IESPS深度调峰补偿涉及的分摊问题，在综合考虑多种分摊因素的基础上，提出一种基于层次分析法的新分摊策略，旨在挖掘火电参与分摊的积极性。基于改进的IEEE 39节点系统进行算例仿真，算例结果验证了调度模型的有效性和分摊策略的合理性。 |
| 关键词: 火-储深度调峰 需求响应 独立储能电站 补偿费用分摊策略 调峰辅助服务 |
| DOI：10.16081/j.epae.202301005 |
| 分类号:TM73 |
| 基金项目:国家自然科学基金资助项目(51777027) |
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| Optimal scheduling of system and compensation cost sharing strategy considering wind power consumption and thermal-storage deep peak shaving |
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CUI Yang1, AN Ning1, FU Xiaobiao2, XIU Zhijian1, ZHAO Yuting1, ZHONG Wuzhi3
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1.Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education, Northeast Electric Power University, Jilin 132012, China;2.State Grid Jilin Electric Power Supply Co.,Ltd.,Changchun 130012, China;3.China Electric Power Research Institute, Beijing 100192, China
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| Abstract: |
| Formulating a reasonable compensation sharing mechanism for deep peak shaving is a problem that must be solved in the process of energy transition. Taking the price-based demand response(PDR) into consideration, the optimal scheduling model of system that takes into account wind power consumption and thermal-storage deep peak shaving is established. On this basis, a variety of sharing factors are considered to establish a sharing strategy, which provides a new idea of thermal-storage compensation cost sharing for the market. PDR is carried out to optimize the load curve, at the same time, it provides an arbitrage basis for independent energy storage power station(IESPS). The thermal power and IESPS are used for the deep peak shaving to promote the release of the system peak shaving capacity, and provide data support for the establishment of sharing strategies. For the sharing problem involved in the deep peak shaving compensation of thermal power and IESPS, based on the comprehensive consideration of various apportionment factors, a new sharing strategy based on the analytic hierarchy process is proposed, which aims to tap the enthusiasm of thermal power participating in sharing. The case study simulation is carried out based on the improved IEEE 39-bus system, and the results verify the validity of the scheduling model and the rationality of the sharing strategy. |
| Key words: thermal-storage deep peak shaving demand response independent energy storage power station compensation cost sharing strategy peak shaving auxiliary service |
