Abstract
To solve the problem of large electric energy consumption of household electric water heater (EWH), firstly, an electric water heater model considering demand response is established, and an improved electric water heater optimization control strategy based on binary particle swarm optimization (BPSO) algorithm is proposed with time-of-use price as incentive, so that the load of electric water heater directly responds to the incentive signal sent by power grid company, By changing its own running state and energy consumption to achieve the optimization goal. Numerical simulation results demonstrate the effectiveness of the proposed strategy.
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