| 引用本文: | 臧紫坤,杨晓辉,李昭辉,等.考虑储热改造与最优弃能的风光火储低碳经济调度[J].电力系统保护与控制,2022,50(12):33-44.[点击复制] |
| ZANG Zikun,YANG Xiaohui,LI Zhaohui,et al.Low-carbon economic scheduling of solar thermal storage considering heat storagetransformation and optimal energy abandonment[J].Power System Protection and Control,2022,50(12):33-44[点击复制] |
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| 摘要: |
| 大规模可再生能源消纳以及电力系统的低碳发展对减少火电机组调峰调频时的碳排放提出了更高要求。为提高系统风光消纳的经济性与火电机调峰的低碳性，提出一种考虑火电机组储热改造与风光最优弃能的风光火储分层优化调度方法。考虑风光反调峰特性，建立最优弃能约束模型，构建以电网净负荷方差最小为目标的上层模型，对净负荷曲线进行一次“削峰填谷”。为扩大火电机组调峰深度，考虑储热机组改造，建立碳交易成本模型。基于此，建立以系统总成本和碳交易成本最小为目标的下层模型，对净负荷曲线二次“削峰填谷”的同时，实现对系统经济与低碳的协同优化。基于算例分析，验证了所提出模型的合理性与有效性。 |
| 关键词: 火电机组储热改造 最优弃能率 碳交易 削峰填谷 分层优化 |
| DOI：DOI: 10.19783/j.cnki.pspc.211405 |
| 投稿时间：2021-10-19修订日期：2022-03-24 |
| 基金项目:国家自然科学基金项目资助(51765042, 61773051，61963026)；江西省研究生创新专项项目资助(YC2021-S153) |
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| Low-carbon economic scheduling of solar thermal storage considering heat storagetransformation and optimal energy abandonment |
| ZANG Zikun,YANG Xiaohui,LI Zhaohui,YUAN Zhixin,XU Chao,CHEN Suhao |
| (School of Information Engineering, Nanchang University, Nanchang 330031, China) |
| Abstract: |
| Large-scale renewable energy consumption and low carbon development of power systems have a higher need to reduce carbon emissions in the peak frequency modulation of thermal power units. To improve the economical efficiency of the system and the low carbon of the thermal motor peak adjustment, this paper proposes a hierarchical optimal scheduling method of the thermal storage considering the thermal power unit's heat storage transformation and optimal solar energy abandonment. Considering the reverse peak adjustment characteristics of wind, an optimal energy-discarding constraint model is established, and an upper model is constructed to minimize the net load variance of the power grid. The net load curve is "peak-clipping". To expand the peak-shaving depth of thermal power units, a carbon transaction cost model is established considering the transformation of heat storage units. From this, the lower layer model is established with the goal of minimizing the total system cost and carbon transaction cost. A collaborative optimization of system economy and low carbon is realized while the net load curve is "peak-cutting and valley filling" twice. The rationality and validity of the proposed model are verified by an example.
This work is supported by the National Natural Science Foundation of China (No. 51765042, No. 61773051, and No. 61963026). |
| Key words: thermal power unit heat storage transformation optimal energy abandonment rate carbon trading peak cutting and valley filling layered optimization |
