School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
This work is supported by National Key R&D Program of China (No. 2017YFB0902600).
The configuration optimization of virtual power plant (VPP) is an important prerequisite for its participation in the optimal dispatching of power grid. Aiming at the difficulty of dynamic aggregation and quantitative evaluation of resources with different characteristics, this paper proposes a multi-level optimal configuration system including flexible adjustable resources, aggregation adjustment characteristics and optimization target modeling. At the level of flexible adjustable resources, the flexible regulation characteristics of different distributed power sources, controllable loads and energy storage are studied. At the level of aggregation adjustment characteristics, the flexibility of various resources is integrated to obtain the external adjustable flexibility of VPP. On the other hand, the randomness model of VPP is obtained by convolving the probability density function of the randomness of various resources. In the optimization target modeling, based on the portfolio theory, this paper establishes a net present value model including construction, operation and maintenance costs of VPP, and the profits of VPP participating in the electric energy and auxiliary service markets . Based on the static optimization configuration, the dynamic effects of key elements are analyzed. By taking an actual power grid in a certain region of China as an example, the correctness and effectiveness of the proposed method are verified.
LI Xiangyu,ZHAO Dongmei.Multi-level Optimal Configuration of Virtual Power Plant Considering Dynamic Characteristics of Adjustable Resources[J/OL].Automation of Electric Power Systems,http://doi.org/10.7500/AEPS20190909011.