Luo, Fengji, Dong, Zhao Yang, Meng, Ke, Qiu, Jing, Yang, Jiajia, and Wong, Kit Po (2016) Short‐term operational planning framework for virtual power plants with high renewable penetrations. IET Renewable Power Generation, 10 (5). pp. 623-633.

PDF (Published Version) - Published Version Restricted to Repository staff only

Abstract

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.

Item ID:	78145
Item Type:	Article (Research - C1)
ISSN:	1752-1424
Copyright Information:	© The Institution of Engineering and Technology 2016
Date Deposited:	07 Jun 2023 02:48
FoR Codes:	40 ENGINEERING > 4008 Electrical engineering > 400803 Electrical energy generation (incl. renewables, excl. photovoltaics) @ 100%
SEO Codes:	17 ENERGY > 1708 Renewable energy > 170899 Renewable energy not elsewhere classified @ 100%
Downloads:	Total: 4
	More Statistics