Distributed energy resource networks : planning, control and market design

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Abstract/Contents

Abstract
Distributed energy resources (DERs), such as energy storage and distributed generation, are rapidly replacing centralized power generation due to their environmental, economic and resiliency benefits. Integrating DERs into power network presents new challenges to power system planning, control and market design. In the first part of the thesis, we analyze a simple greedy strategy for the planning problem of placing energy storage in a power network. Using structural characterizations of the underlying power network control problem, we identify conditions under which the placement value function is submodular so that the greedy strategy has a performance guarantee. We then develop a computational procedure to certify these conditions for any given problem instance based on multi-parametric programming. In the second part of the thesis, we consider the stochastic control problem for operating energy storage devices connected in a power network. As the exact solution of the problem based on dynamic programming suffers from the curse of dimensionality, we propose a simple online algorithm for the problem utilizing a stabilized greedy (myopic) controller. For a rather general setting, we establish performance guarantees for the proposed method. Finally, we study fundamental requirements for power network reliability in designing novel power markets to integrate DERs. We demonstrate a transaction or trading based market, on top of a system operator implementing these reliability requirements, could achieve the same efficiency as centralized stochastic dispatch. We also obtain structural results for radial networks which indicate efficient market outcomes can be reached with bilateral trading for distribution networks.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2017
Issuance monographic
Language English

Creators/Contributors

Associated with Qin, Junjie
Associated with Stanford University, Institute for Computational and Mathematical Engineering.
Primary advisor Rajagopal, Ram
Thesis advisor Rajagopal, Ram
Thesis advisor El Gamal, Abbas A
Thesis advisor Johari, Ramesh, 1976-
Advisor El Gamal, Abbas A
Advisor Johari, Ramesh, 1976-

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Junjie Qin.
Note Submitted to the Institute for Computational and Mathematical Engineering.
Thesis Thesis (Ph.D.)--Stanford University, 2017.
Location electronic resource

Access conditions

Copyright
© 2017 by Junjie Qin

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