Network Protection Optimal Operation and Bidding Strategy of Virtual Power Plants

Abstract

In light of the development of renewable energy and concerns over environmental protection renewable energy resources have become a trend in distribution systems Accordingly the dispatch strategy of the system need to be changed As an aggregator involved in various renewable energy sources energy storage systems and loads a virtual power plant plays a key role as not only a consumer but a prosumer The structure also transform the traditional one-direction power delivery to bi-direction The virtual power plant thus can enable itself to supply energy and ancillary services to the utility grid to maximize its profit To deal with the security dispatch operation and bidding issues faced by VPP this dissertation proposes an overcurrent protection strategies with distributed generations and fault current limiters the demand response potential analysis elasticity demand response model construction and operation and bidding strategy determination By scheduling the energy storage systems demand response and renewable energy sources virtual power plants can join bidding markets to achieve maximum benefits The potential uncertainties caused by renewable energy sources and the demand response are considered in a robust optimization model Moreover a bi-level game theory model is introduced to modify the bidding environment among market operators and all the participants The numerical results demonstrate the stable operation and profit maximized can be achieved through the proposed adaptive protection scheme and operation and bidding strategy optimization By involving the uncertainty consideration and thus getting rid of penalty due to failing to provide the winning ancillary service quantity the economic efficiency is proved to be increased

Date of Award	2019
Original language	English
Supervisor	Hong-Tzer Yang (Supervisor)