基于实时电价的家庭能量管理系统最优调度研究

家庭能量管理系统作为智能电网在居民家庭中的智能体现，需建立在家庭安全用电的基础上。家庭中的电气故障多为线路过载故障。在对家庭智能电器的优化运行中，将线路负载率作为约束条件，可保障家庭的用电安全。在实时电价环境下，提出了一种考虑家庭线路负载率约束的家庭能量调度策略，分别建立了以用电费用最小和碳排放最小为目标的优化模型，针对建立的0-1整数规划模型，将遗传算法进行了改进，以求得家庭最优用电方式。通过仿真验证，比较用户在不同用电模式下的线路负载率、用电费用和碳排放量，验证了该策略可为家庭用电提供安全可靠的最优用电方式。

Home energy management system optimial dispatch based on real-time electricity price

Home energy management system as a intelligent embodiment of smart grid in the users side, should be built on the basis of electricity safety. The main electrical accident of house is line overload. In the optimization of smart household appliances, making the load rate as constraint can ensure the house electricity safety. In the real-time electricity price environment, this paper put forward a kind of home energy management system dispatch strategy considering load rate, respectively set up minimum electricity costs and?minimum?carbon emissions as the goal of optimization model, and used the improved Genetic Algorithm to solve the models. By comparing the simulation results of line load rate, electricity costs and carbon emissions in different models, it shows the strategy can ensure the house electricity using in a safe and optimal way.