Optimal Operation Strategy of Aggregated Multiple Flexible Resources in Power Balance Unit

With the continuous expansion of multiple types of flexible resources linked to the distribution network, their operational randomness and dispersion have significantly impacted the distribution network's operational state. Traditional resource scheduling methods cannot effectively tap into the optimization potential of flexible resources due to flexible resources' diverse operational characteristics, leading to high operational pressure and system operating costs. To address this issue, this paper constructs an optimized scheduling model for a power balance unit that considers the operational characteristics of multiple types of flexible resources. Firstly, the research focuses on diverse flexible resources within the power system, treating them as optimization targets, considering factors such as the output characteristics, adjustment costs, and user participation willingness of flexible resources under different demand response scenarios, and builds a cost-benefit model for each type of flexible resource. Subsequently, taking virtual power plants (VPP) for example, a comprehensive optimization model is established taking into account the mapping relationship between the adjustment costs and adjustment power of the power balance unit to achieve the optimal operation of user-side flexible resources such as thermostatically controlled loads and electric vehicles. Finally, simulation analysis is conducted to validate the efficacy of the proposed optimal operation strategy for VPP.