z-logo
open-access-imgOpen Access
Incentive-based Demand Response for a Virtual Power Plant
Author(s) -
Yingyi Li,
Zhe Luo,
Lifeng Liu,
Ke Sun,
Xuan Yang,
Tian’en Huang
Publication year - 2021
Publication title -
iop conference series earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/645/1/012046
Subject(s) - virtual power plant , incentive , demand response , scheme (mathematics) , grid , environmental economics , computer science , distributed generation , smart grid , the internet , function (biology) , demand curve , business , renewable energy , electricity , microeconomics , economics , engineering , electrical engineering , mathematical analysis , geometry , mathematics , evolutionary biology , world wide web , biology
With the development of Energy Internet, the virtual power plant (VPP) has been regarded as a creative and attractive form to realize the integration of different energy resources. The VPP could make advantages of demand-side participation and distributed energy resources (DERs) to eliminate the peak loads and thus to maintain the stability of power grid. Here, an incentive-based demand response (DR) scheme is designed to model the energy transactions in the VPP internal market. This scheme considers different attitudes of different kinds of consumers according to their DR bid offers. Especially, we also introduce the dissatisfaction function to model the impact of load reductions on the enthusiasm of consumers. With the objective to minimize VPP operation costs, the proposed scheme is formulated as an optimization problem with guaranteeing the interests of consumers. The experimental results show that the proposed incentive-based DR scheme could encourage consumers to reduce more load demands by offering corresponding incentive prices, which helps to decrease the total operation cost of the VPP and also improve the profits of consumers.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom