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Primary Frequency Response Ancillary...

Li, Weifeng.

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Primary Frequency Response Ancillary Service in Low Inertia Power Systems.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Primary Frequency Response Ancillary Service in Low Inertia Power Systems./
作者:	Li, Weifeng.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:	137 p.
附註:	Source: Dissertations Abstracts International, Volume: 80-09, Section: B.
Contained By:	Dissertations Abstracts International80-09B.
標題:	Electrical engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=11018424

Primary Frequency Response Ancillary Service in Low Inertia Power Systems.
Li, Weifeng.

Primary Frequency Response Ancillary Service in Low Inertia Power Systems. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 137 p.

Source: Dissertations Abstracts International, Volume: 80-09, Section: B.

Thesis (Ph.D.)--North Carolina State University, 2018.

This item must not be sold to any third party vendors.

Future power systems will see significant growth of renewable generation resources (RGSs). In regions such as Ireland and Texas, power generated by RGSs has exceeded 40% of the system load. In many regional grids, fossil fuel units (e.g. coal power plants) are quickly being displaced by inertial-less RGSs (primarily wind and solar). Large-scale integration of RGSs leads to decline in system inertia, simultaneously causing a significant reduction of the primary frequency control capability. The Ireland grid's experiences show that if no grid enhancement is implemented, the risk of constraining or curtailing significant amount of wind generation would be very high because of the lack of adequate primary frequency response (PFR). Therefore, there is a serious concern regarding whether or not those low-inertia interconnected power systems can maintain adequate PFR reserve to respond to credible contingencies in order to maintain a similar level of reliability of operations. This dissertation firstly presents a new framework to quantify PFR requirement with respect to system inertia. The framework is developed based on extensive dynamic simulations with full-network dynamic models, which accurately represents system dynamic frequency behaviors. Within this framework, a methodology to quantify the relative effectiveness of PFR provided by generators against that provided by load resources is proposed. This methodology can be easily applied to other technologies like energy storage or synthetic inertia response from wind turbines. This framework serves as a basis for investigating PFR reserve scheduling and pricing related issues which are further explored in this work. Following the discussion of the PFR-Inertia framework, a new unit commitment model (PFR/Inertia Constrained UC) is proposed, which explicitly takes into account the interdependency between PFR and inertia in order to schedule sufficient PFR and inertia over the planning horizon. As RGSs forecast introduce significant uncertainties to a low inertia power system for scheduling both energy and PFR, the proposed PFR/Inertia Constrained UC model is extended to a two-stage stochastic optimization formulation. The stochastic model is intended for Day-Ahead scheduling and its impact on Real-Time operation is investigated as well. A case study on Electric Reliability Council of Texas (ERCOT) system shows that significant benefits can be gained from utilizing this stochastic model with more RGSs integrated into the system in the future. This dissertation also presents a design of a new Energy and PFR joint market for hosting PFR offers from both generators and loads. Traditionally, PFR is provided solely by synchronous generators. Advanced control and monitoring technologies have enabled loads to provide fast and discrete primary frequency response, which is complementary to the slow and continuous governor response provided by synchronous generators. With the knowledge of the relative effectiveness between PFR provided by generators and loads, developed from the PFR-Inertia framework, PFR resources are priced based on the quality of the service they provide. Moreover, in this market, load entities submitting PFR offers in Day-Ahead Market could effectively stop them from being outbid for energy in Day-Ahead Market and exposed to Real-time energy price volatility. During scarcity hours, load entities providing PFR will also effectively mitigate the high price of both energy and PFR as they are coupled in the co-optimized market of energy and ancillary services.Subjects--Topical Terms:

649834
Electrical engineering.

Primary Frequency Response Ancillary Service in Low Inertia Power Systems.
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