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Power system modeling using Petri nets.

Lu, Ning.

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Power system modeling using Petri nets.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Power system modeling using Petri nets./
作者:	Lu, Ning.
面頁冊數:	131 p.
附註:	Advisers: Alan A. Desrochers; Joe H. Chow.
Contained By:	Dissertation Abstracts International63-11B.
標題:	Engineering, Electronics and Electrical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3072209
ISBN:	0493920404

Power system modeling using Petri nets.
Lu, Ning.

Power system modeling using Petri nets. - 131 p.

Advisers: Alan A. Desrochers; Joe H. Chow.

Thesis (Ph.D.)--Rensselaer Polytechnic Institute, 2002.

The Petri net model presented in this thesis focuses on the modeling and the simulation of the generator's bidding behavior and the power system dispatch in a deregulated market, where Petri net models capture its stochastic and distributed characteristics. A hybrid multi-layer Petri net market simulator, which combines the modeling of physical flows and information flows, is proposed. The base layer is the physical layer, where the power transmission networks are modeled. On top of it are information layers modeling information flows which schedule the physical flow via discrete tokens. In between, there is an interface layer coded as programs and functioning as a control agent. Colored Petri Nets are used to simulate the information layer, in which the uncertainties presented in the decision making process during the bidding and the parallel behaviors of the bidders are modeled. An extension of continuous Petri nets, called a Variable Arc Weighting Petri net (VAWPN), is introduced to simulate the physical layer, in which vector tokens are used to match the information flows to the physical flows and distribution factors are used to obey the physical laws of the power flows.

ISBN: 0493920404Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Power system modeling using Petri nets.
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502 $a Thesis (Ph.D.)--Rensselaer Polytechnic Institute, 2002.
520 $a The Petri net model presented in this thesis focuses on the modeling and the simulation of the generator's bidding behavior and the power system dispatch in a deregulated market, where Petri net models capture its stochastic and distributed characteristics. A hybrid multi-layer Petri net market simulator, which combines the modeling of physical flows and information flows, is proposed. The base layer is the physical layer, where the power transmission networks are modeled. On top of it are information layers modeling information flows which schedule the physical flow via discrete tokens. In between, there is an interface layer coded as programs and functioning as a control agent. Colored Petri Nets are used to simulate the information layer, in which the uncertainties presented in the decision making process during the bidding and the parallel behaviors of the bidders are modeled. An extension of continuous Petri nets, called a Variable Arc Weighting Petri net (VAWPN), is introduced to simulate the physical layer, in which vector tokens are used to match the information flows to the physical flows and distribution factors are used to obey the physical laws of the power flows.
520 $a The market simulator consists of three major modules: the ISO module, the GenCo module and the Load module. The Independent System Operator (ISO) module simulates the priority-based dispatch process following a Locational-based Marginal Pricing (LMP) scheme. In addition to allowing the generator bids to be functions of price, the algorithm also accepts load bids as functions of price. Bidding strategies are developed for various types of generators, based on which a Generator Company (GenCo) module is developed to provide generator bids to the ISO module. With the price feedback from the ISO module, the GenCo module can allow the bidders to adjust their bids or switch bidding strategies. The Load Serving Entity (LSE) module generates load bids to the ISO module. LSEs are considered to be either a fixed aggregated demand or price sensitive block bids depending on the scenario studied. Impacts of generator bidding strategies on the market clearing prices (MCPs) are discussed based on the simulation results. Future research directions in this area are also addressed.
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