摘要
针对城市商业区写字楼的微电网能源管理系统,如何有效地进行能量协同调度具有重要的理论价值与应用价值。提出了基于强化学习的写字楼能量调度的需求侧动态价格响应算法。首先,将物业与写字楼之间的模型建立为一个马尔可夫决策过程(Markov decision process,MDP),通过使用Q-Learning算法中的贪婪策略来探索写字楼中每个时间间隙的最佳电力零售价格。实验结果表明:通过需求侧动态价格能量调度策略不仅可以提高电网的可靠性和能源的有效利用率,实现电力分流、削峰和填谷,也可有效降低写字楼的能量消耗,同时降低用户的电力能耗使用成本,使得各方利益最大化,验证了所提算法的有效性和实用性。
For the micro grid energy management system of office buildings in urban business district,it is of great theoretical and application value how to effectively perform collaborative energy scheduling.A demand-side dynamic price response algorithm based on reinforcement learning for energy scheduling in office buildings was proposed.Firstly,the model between property and office building was established as a Markov decision process(MDP)that explores the optimal retail price of electricity for each time gap in the office building by using the greedy strategy in the Q-learning algorithm.The experimental results show that the demand-side dynamic price energy dispatching strategy can not only improve the reliability of power grid and the effective utilization of energy,realize the power diversion,peak shaving and valley filling,but also effectively reduce the energy consumption of office buildings,and at the same time reduce the cost of power energy usage of users,which maximizes the benefits of all parties and verifies the effectiveness and practicality of the proposed algorithm.
作者
樊园杰
张磊
吴利刚
周倩
张梁
FAN Yuan-jie;ZHANG Lei;WU Li-gang;ZHOU Qian;ZHANG Liang(School of Business, Shanxi Datong University, Datong 037004, China;School of Coal Engineering, Shanxi Datong University, Datong 037004, China;School of Mechanical and Electrical Engineering, Shanxi Datong University, Datong 037004, China;Anhui Provincial Engineering Laboratory on Information Fusion and Control of Intelligent Robot, Wuhu 241002, China)
出处
《科学技术与工程》
北大核心
2022年第8期3202-3208,共7页
Science Technology and Engineering
基金
山西省哲学社会科学规划课题(2020YJ140,2021YY198)
山西省高等学校哲学社会科学项目(2020W108)
山西省高等学校科技创新项目(2021L391)
大同市软科学研究计划项目(2020159)
安徽省智能机器人信息融合与控制工程实验室开放课题项目(IFCIR2020006)
山西省社会科学界联合会重点课题(SSKLZDKT2021127)
山西大同大学项目(2021CXZ2,2021CXZ10,2020YGZX014)
山西省社会科学院规划课题(YWQN202107)。
作者简介
第一作者:樊园杰(1983-),女,汉族,山西大同人,硕士,讲师,研究方向:经济学,E-mail:fanyuanjie918@163.com;通信作者:吴利刚(1986-),男,汉族,山西大同人,博士,副教授,研究方向:智能电网、强化学习,E-mail:ligangwu@yeah.net。
