Continuous-Time optimization of Inverter Air Conditioning Demand Response for Ramping Flexibility Improvement

Continuous-Time optimization of Inverter Air Conditioning Demand Response for Ramping Flexibility Improvement

연구 분야: Software Development

학회: 2020 IEEE Power & Energy Society General Meeting (PESGM)

The increasing deployment of renewable energy sources into the power system is calling for more ramping flexibilities. Inverter air conditioning (IAC) has a huge potential for demand response due to its large proportion of electricity consumption and the thermal inertia. In this paper, the dynamic response model for IAC is deduced. With Hermite and Bernstein splines, the continuous-time (CT) model for IAC is built. The dynamic response capacity (DRC) method is proposed to schedule the IAC for demand response. Then the IAC demand response (IAC-DR) model is integrated with the DRC scheduling method for ramping flexibility improvement. Numerical results demonstrate that the proposed IAC-DR model is effective in reducing the operation cost for the power systems. Besides, detailed analysis of net load fluctuations and ramping requirements is illustrated.