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Pricing of Electricity: Network Opti...

Drexel University., Electrical Engineering.

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Pricing of Electricity: Network Optimization and Stability.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Pricing of Electricity: Network Optimization and Stability./
作者:	Lin, Jeremy.
面頁冊數:	128 p.
附註:	Source: Dissertation Abstracts International, Volume: 75-08(E), Section: B.
Contained By:	Dissertation Abstracts International75-08B(E).
標題:	Electrical engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3616306
ISBN:	9781303831423

Pricing of Electricity: Network Optimization and Stability.
Lin, Jeremy.

Pricing of Electricity: Network Optimization and Stability. - 128 p.

Source: Dissertation Abstracts International, Volume: 75-08(E), Section: B.

Thesis (Ph.D.)--Drexel University, 2014.

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

The constrained optimization problem of electricity pricing and its optimal solution lie at the core of any operating electricity market. Electricity prices at the nodal (bus) level provide more granular form of economic signals to the market participants, so as to help them make better economic decisions. This way, allocation of scarce resources can be done more efficiently. Since the electricity market operation is based on a particular transmission system, the underlying network plays an important role in the formation of final market prices. Using novel null space methods, we showed a more efficient way of pricing electricity, provided that we have a priori knowledge of binding transmission lines and/or voltage limits. This method does not require selection of a reference system bus, and thus is computationally more efficient. Observations of numerical results from the application of this method to IEEE test systems reveal some promise. The application of this method to larger real-world power system is more challenging.

ISBN: 9781303831423Subjects--Topical Terms:

649834
Electrical engineering.

Pricing of Electricity: Network Optimization and Stability.
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500 $a Source: Dissertation Abstracts International, Volume: 75-08(E), Section: B.
500 $a Advisers: Dagmar Niebur; Chika Nwankpa.
502 $a Thesis (Ph.D.)--Drexel University, 2014.
506 $a This item must not be sold to any third party vendors.
520 $a The constrained optimization problem of electricity pricing and its optimal solution lie at the core of any operating electricity market. Electricity prices at the nodal (bus) level provide more granular form of economic signals to the market participants, so as to help them make better economic decisions. This way, allocation of scarce resources can be done more efficiently. Since the electricity market operation is based on a particular transmission system, the underlying network plays an important role in the formation of final market prices. Using novel null space methods, we showed a more efficient way of pricing electricity, provided that we have a priori knowledge of binding transmission lines and/or voltage limits. This method does not require selection of a reference system bus, and thus is computationally more efficient. Observations of numerical results from the application of this method to IEEE test systems reveal some promise. The application of this method to larger real-world power system is more challenging.
520 $a We also investigated the optimization of voltage stability-constrained market clearing prices. When these constraints are considered and incorporated into the current optimization problem, the optimal prices can be quite different from the case without voltage stability-constraints. Our understanding of interaction between electricity market operations and voltage stability is quite limited. More research work is needed to better understand about the complex interaction between voltage stability and electricity market.
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