Open AccessShort‐term operational planning framework for virtual power plants with high renewable penetrations
Author(s) -
Luo Fengji,
Dong Zhao Yang,
Meng Ke,
Qiu Jing,
Yang Jiajia,
Wong Kit Po
Publication year - 2016
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2015.0358
Subject(s) - virtual power plant , bidding , economic dispatch , time horizon , profit (economics) , operational planning , renewable energy , computer science , term (time) , electricity market , operations research , mathematical optimization , electric power system , reliability engineering , power (physics) , engineering , electricity , distributed generation , economics , mathematics , management , microeconomics , physics , quantum mechanics , electrical engineering
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.