刘永春,蔡 华,田中利,邵雪松,许金宇.基于双层博弈的居民家电负荷聚合测试方法[J].电力需求侧管理,2022,24(5):78-83 |
基于双层博弈的居民家电负荷聚合测试方法 |
Load aggregation test for household appliances based on double-layer game |
投稿时间:2022-06-28 修订日期:2022-07-26 |
DOI:10. 3969 / j. issn. 1009-1831. 2022. 05. 013 |
中文关键词: 居民家电 负荷聚合 测试方法 双层博弈 互动操作 |
英文关键词: household appliances load aggregation test method double-layer game interactive operation |
基金项目:国家电网有限公司科技项目(5400-202140390A-0-0-00) |
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中文摘要: |
随着中国电力尖峰负荷不断攀升,居民家庭负荷参与需求响应的重要性日益增加。针对居民家电缺少通用互操作标准,与电网负荷互动难的问题,采用了基于聚类结果的双层博弈方法来进行居民家电负荷聚合测试。通过基于模糊C均值的聚类方法对居民家庭负荷进行聚类,并建立居民环境与温度自动控制、智慧厨房、智能居民家庭影院、智能电器远程控制等场景。依据电网需求响应要求,通过下层能量博弈模型求解最优居民家电用能策略;依据聚类后建立的居民家庭负荷应用场景,通过上层聚合价值需求博弈模型求解最优的居民家电互操作测试方法。在某城市小区中进行了应用测试,其测试准确率达97.2%。应用结果表明:该方法提升了居民家电负荷的互操作性的同时,也提升了居民家电与电网负荷的互动水平。 |
英文摘要: |
As the peak load of electricity in China continues to rise, the importance of household load participation in demand response is increasing. Aiming at the lack of common interoperability standards for household appliances and the difficulty in interacting with the grid load, a double-layer game method based on clustering results is used to conduct the aggregate test of household appliance loads. After the household appliance loads is clustered by the clustering method based on fuzzy C-means, the application scenarios of automatic control of residents’environment and temperature, smart kitchen, smart residents’home theater, remote control of smart appliances and so on are established. According to the requirements of grid demand response, the optimal energy consumption strategy of residential household appliances is solved through the energy game on the lower game model. Based on the application scenarios of residential household appliance loads established after clustering, the optimal household appliance interoperability test method is solved through the aggregate value demand game on the upper game model. The calculation example has been applied in a certain urban community, and the test accuracy rate is 97.2%.The application results show that the method improves the interoperability of household appliance loads and the interaction level between household appliances and power grid loads. |
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