LDR | | 02009nmm uu200397 4500 |
001 | | 000000334088 |
005 | | 20240805175117 |
008 | | 181129s2018 |||||||||||||||||c||eng d |
020 | |
▼a 9780438176270 |
035 | |
▼a (MiAaPQ)AAI10828035 |
035 | |
▼a (MiAaPQ)washington:18737 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
082 | 0 |
▼a 621.3 |
100 | 1 |
▼a Xu, Bolun. |
245 | 10 |
▼a Batteries in Electricity Markets: Economic Planning and Operations. |
260 | |
▼a [S.l.] :
▼b University of Washington.,
▼c 2018 |
260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
300 | |
▼a 139 p. |
500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B. |
500 | |
▼a Advisers: Daniel S. Kirschen |
502 | 1 |
▼a Thesis (Ph.D.)--University of Washington, 2018. |
520 | |
▼a Batteries have been storing electricity for mankind since 1800, while it is till recently that grid-scale battery energy storage become commercially viable and are seeking merchant opportunities in electricity markets. Battery energy storage hav |
520 | |
▼a This dissertation covers the optimal planning, scheduling, and operation for battery energy storage in electricity markets. It shows that the degradation mechanism of electrochemical battery cells must be considered in market bidding and operati |
520 | |
▼a For frequency regulation markets, this dissertation proposes a real-time control policy that optimally trades-off the performance penalty and the degradation cost in frequency regulation operations. A optimal bidding policy is designed based on |
590 | |
▼a School code: 0250. |
650 | 4 |
▼a Electrical engineering. |
690 | |
▼a 0544 |
710 | 20 |
▼a University of Washington.
▼b Electrical Engineering. |
773 | 0 |
▼t Dissertation Abstracts International
▼g 79-12B(E). |
773 | |
▼t Dissertation Abstract International |
790 | |
▼a 0250 |
791 | |
▼a Ph.D. |
792 | |
▼a 2018 |
793 | |
▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14999104
▼n KERIS |
980 | |
▼a 201812
▼f 2019 |
990 | |
▼a 관리자 |