Short-term operational planning framework for virtual power plants with high renewable penetrations

Title: Short-term operational planning framework for virtual power plants with high renewable penetrations
Creator: Luo, Fengji; Dong, Zhao Yang; Meng, Ke; Qiu, Jing; Yang, Jiajia; Wong, Kit Po
Relation: IET Renewable Power Generation Vol. 10, Issue 5, p. 623-633
Publisher Link: http://dx.doi.org/10.1049/iet-rpg.2015.0358
Publisher: The Institution of Engineering and Technology
Resource Type: journal article
Date: 2016
Description: This study proposes a two-stage operational planning framework for the short-term operation of the virtual power plant (VPP). In the first stage, a stochastic bidding model is proposed for the VPP to optimise the bids in the energy market, with the objective to maximise its expected economic profit. The imbalance costs of the VPP are considered in the bidding model. In the second stage, a model predictive control (MPC)-based dispatch model is proposed to optimise the real-time control actions. In the real-time dispatch model, the real-time information of the resources is continuously updated, and the deviations between the actual energy output and the contracted energy over the MPC control horizon are minimised. The simulation results prove the efficiencies of the proposed method.
Subject: virtual power plant; stochastic bidding model; energy market
Identifier: http://hdl.handle.net/1959.13/1342693
Identifier: uon:29015
Identifier: ISSN:1752-1416
Language: eng
Reviewed

		Thumbnail	File	Description	Size	Format