Multi-level interactive unit commitment of regional power system. (February 2021)

• Record Type: Journal Article
• Authors: Ji, Xingquan; Zhang, Yumin; Han, Xueshan; Ye, Pingfeng; Xu, Bo; Yu, Yongjin
• Is Part Of: International journal of electrical power & energy systems. Volume 125(2021)
• Publication Date: 2021-02
• Subjects: Analytical target cascading algorithm -- Distributed parallel computing -- Primary and secondary frequency regulation -- Unit commitment; Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2020.106464
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: A fully distributed and parallel method to solve the UC problem of three-level interactive of TG + ADN + MG is proposed. The proposed method can be implemented in master-slave distributed and parallel schema. An imprecise Dirichlet model (IDM)-based non-parametric estimation method is presented to better model and tackle the uncertainties of the wind power and load. To explore the synergistic ability of the TG + ADN + MG coping with uncertainties, the primary and secondary frequency regulation are taken as the means for the TG to cope with uncertainties. Abstract: Distributed energy resource (DER) including wind power, solar energy and energy storage system (ESS) are connected to the active distribution network (ADN) in various combination ways, which makes the distribution network have interaction. As a bridge connecting the transmission grid (TG) and micro grid (MG), ADN breaks the traditional operation pattern of TG + ADN + MG. Considering the physical connections and shared information among TG, ADN and MG, this paper proposes a decentralized and parallel analytical target cascading (ATC) algorithm for interactive unit commitment (UC) implementation in regional power systems. To explore the synergistic ability of the TG + ADN + MG coping with uncertainties of DER, i.e., wind power, the primary and secondary frequency regulation of TG are implemented to cope with uncertainties. Furthermore, the distributional uncertainty of wind power is well modeled by data driven, which is proposed in our previous work (Zhang et al., 2019) [1]. Both the startup/shutdown variables of the thermal units and the variables in TG + ADN + MG are integrated into the multi-level interactive UC model to optimize simultaneously, thus realizing the optimal goal of the whole network, resources complementary and optimal allocation of power system. An improved 6-bus system is used to test the proposed model, the numerical results show that the proposed decentralized algorithm is a fully parallelized procedure. And it also demonstrates the parallel implementation significantly enhances computations efficiency of the ATC algorithm.