电力需求侧管理2024，Vol.26Issue(4)：68-73,6.DOI:10.3969/j.issn.1009-1831.2024.04.011
基于优惠信息引导用户侧参与的购售电互动优化决策模型
Optimization decision model for electricity purchase and sales interaction based on preferential information guiding user side participation
摘要
Abstract
Existing guidance method of demand-side participating in flexible interaction do not fully consider the influence of social infor-mation such as preferential information on load,resulting in a large deviation between the actual role of the guiding cues and the expected results.In view of such situation,the Attention-LSTM model is used to forecast the load adjustment under the effect of social information,such as guiding cues.Coupon guidance method could be determined with this model.Take time of use tariff and coupon as an example,coupon guidance method considering the influence of preferential information is proposed,to guide consumers to change their electricity consumption behaviors for less cost of purchasing electricity.And on this basis,a decision-making model of purchase-sale strategy consid-ering the influence of preferential information in multi-level electricity market is established,to maximize the revenue of electricity retail-ers and verify the feasibility and effectiveness of the proposed guidance method,which is solved by particle swarm optimization algorithm and CPLEX,to obtain the optimal guidance strategy and purchase strategy of electricity retailers.An example based on Australian data shows that the electricity purchasing and selling optimization model of electricity ratailers base on coupons guiding can effectively guide customers to actively participate in the interaction.关键词
引导信息/优惠券引导策略/柔性互动/优惠信息Key words
guiding cues/coupon guidance strategy/flexible interaction/preferential information分类
管理科学引用本文复制引用
丁胜,肖楚鹏,邵雪松,周超,李文庆..基于优惠信息引导用户侧参与的购售电互动优化决策模型[J].电力需求侧管理,2024,26(4):68-73,6.基金项目
国家电网有限公司科技项目(5400-202118391A-0-0-00) （5400-202118391A-0-0-00）
