Research on residential load optimization model based on the adaptive harmony search-particle swarm optimization algorithm

4th Asia Conference of International Building Performance Simulation Association

土木建筑工程

Zhang, Zhisheng^1 ; Wang, Jidong^2 ; Zhong, Haitao^1 ; Ma, Hanjie^1

College of Electrical Engineering, Qingdao University, Qingdao, China^1

Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin, China^2

关键词: Electricity prices;    Electricity-consumption;    Environmental change;    Harmony search algorithms;    Optimization modeling;    Outdoor temperature;    Particle swarm optimization algorithm;    Residential loads;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/238/1/012020/pdf
DOI  :  10.1088/1755-1315/238/1/012020

学科分类：土木及结构工程学

来源: IOP

【 摘 要 】

In the research of energy internet, demand response has become a hot issue which has been widely concerned. The residential load optimization model was constructed, which takes into account factors such as environmental change, electricity price, user habits, load fluctuation and so on. The adaptive harmony search-particle swarm optimization algorithm was used to solve the model, which got the program to meet the needs of users. It is the fusion of the particle swarm optimization algorithm and the harmony search algorithm. The simulation results were based on the actual time-sharing price, outdoor temperature and load parameters. After the simulation, the user load curve was improved and the electricity consumption and energy used was obviously reduced, which proved the algorithm is effective.