| 引用本文: | 刘浩田,陈 锦,朱 熹,刘顺成,邓 凯.一种基于价格弹性矩阵的居民峰谷分时电价激励策略[J].电力系统保护与控制,2021,49(5):116-123.[点击复制] |
| LIU Haotian,CHEN Jin,ZHU Xi,LIU Shuncheng,DENG Kai.An incentive strategy of residential peak-valley price based on price elasticity matrix of demand[J].Power System Protection and Control,2021,49(5):116-123[点击复制] |
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| 摘要: |
| 需求响应(DR)是利用价格信号和激励机制来保证电力系统安全可靠和经济运行的重要措施。传统价格激励在所有时间段的激励作用是一致的，可能导致对某个特定时间段的预测精度不够。研究了需求价格弹性矩阵(Price Elasticity Matrix of Demand, PEMD)，提出了一种基于弹性效应权重的改进价格弹性矩阵模型。该模型的优势在于能将刚性荷载和柔性荷载统一起来，将不同时间段对其他时间段价格影响分别设定权重。还提出了由电价政策和负荷类型决定的价格弹性矩阵结构和计算方法，利用遗传算法求解出分时电价的决策模型。最后通过仿真验证该模型的有效性，结果表明该方法可以削减峰值用电量4.23%，提升谷值用电量4.86%。 |
| 关键词: 需求侧管理 电力市场 需求响应 峰谷分时电价 弹性价格矩阵 负荷特性 激励机制 |
| DOI：DOI: 10.19783/j.cnki.pspc.200527 |
| 投稿时间：2020-05-12修订日期：2020-09-07 |
| 基金项目:国家重点研发计划政府间国际科技创新合作重点专项资助(2018YFE0125300)；湖南省科技创新平台与人才计划项目资助(2019TP1053) |
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| An incentive strategy of residential peak-valley price based on price elasticity matrix of demand |
| LIU Haotian,CHEN Jin,ZHU Xi,LIU Shuncheng,DENG Kai |
| (1. Hunan Key Laboratory of Energy Internet Supply-demand and Operation, Changsha 410004, China;
2. State Grid Hunan Electric Power Co., Ltd., Institute of Economics and Technology, Changsha 410004, China;
3. State Grid Hunan Power Transmission Engineering Company, Changsha 410000, China) |
| Abstract: |
| Using price signal and an incentive mechanism, Demand Response (DR) is an important measure to ensure the safe, reliable, and economic operation of a power system. The incentive effect of traditional price incentive is the same in all periods, resulting in insufficient prediction accuracy in any particular period. In this paper, the Price Elasticity Matrix of Demand (PEMD) is studied, and an improved price elasticity matrix model based on the weight of the elasticity effect is proposed. The advantage of the model is that it can unify the rigid load and the flexible load, and set the weight for the price impact of different periods on other periods. The structure and calculation method of the price elasticity matrix determined by the price policy and load type is proposed. Finally, the effectiveness of the model is verified by simulation. The results show that the method can reduce peak power consumption by 4.23% and increase valley value power consumption by 4.86%.
This work is supported by the International Science and Technology Cooperation Program of China (No. 2018YFE0125300) and Science-Technology Innovation Platform and Talents Program of Hunan Province (No. 2019TP1053). |
| Key words: demand side management electricity market demand response peak-valley price price elasticity matrix of demand load characteristic incentive mechanism |
