2002Unpublished venueRequires access

Wheeling rates evaluation using optimal power flows

Maxwell Muchayi, M.E. El-Hawary

Open publisher page 12 citations

Abstract

Real-time pricing of electricity supply functions as a load management tool because it interacts and influences the consumer behavior. This represents a radically different approach to marketing electricity. One area of application of real-time pricing, is in determining wheeling rates. Wheeling, is the transmission of electrical power and reactive power from a seller to a buyer through transmission network owned by a third party. In this paper, a strategy for pricing wheeling power is formulated and evaluated. Unlike other methods which use only the variation of fuel cost for generation, the proposed wheeling pricing algorithm incorporates the optimal allocation of transmission system operating costs based on time-of-use pricing. The transmission costs are obtained by assigning a price k to each unit of reactive and active power flows in the network. The assignment does not discriminate between participants located at differing parts of the network. It is assumed that there is separate ownership of the generating plants and transmission lines. The modeling scheme is applied to the IEEE standard 14 and 30 power systems which involves solving a modified optimal power flow problem (OPF) iteratively using the MINOS package. It is concluded that the method has a potential wide application in wheeling rates of electricity supply.

About this research paper

What this paper is about

Real-time pricing of electricity supply functions as a load management tool because it interacts and influences the consumer behavior. This represents a radically different approach to marketing electricity. One area of application of real-time pricing, is in determining wheeling rates. Wheeling, is the transmission of electrical power and reactive power from a seller to a buyer through transmission network owned by a third party. In this paper, a strategy for pricing wheeling power is formulated and evaluated. Unlike other methods which use only the variation of fuel cost for generation, the proposed wheeling pricing algorithm incorporates the optimal allocation of transmission system operating costs based on time-of-use pricing. The transmission costs are obtained by assigning a price k to each unit of reactive and active power flows in the network. The assignment does not discriminate between participants located at differing parts of the network. It is assumed that there is separate ownership of the generating plants and transmission lines. The modeling scheme is applied to the IEEE standard 14 and 30 power systems which involves solving a modified optimal power flow problem (OPF) iteratively using the MINOS package. It is concluded that the method has a potential wide application in wheeling rates of electricity supply.

Why it matters

OpenAlex reports 12 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Real-time pricing of electricity supply functions as a load management tool because it interacts and influences the consumer behavior. This represents a radically different approach to marketing electricity. One area of application of real-time pricing, is in determining wheeling rates. Wheeling, is the transmission of electrical power and reactive power from a seller to a buyer through transmission network owned by a third party. In this paper, a strategy for pricing wheeling power is formulated and evaluated. Unlike other methods which use only the variation of fuel cost for generation, the proposed wheeling pricing algorithm incorporates the optimal allocation of transmission system operating costs based on time-of-use pricing. The transmission costs are obtained by assigning a price k to each unit of reactive and active power flows in the network. The assignment does not discriminate between participants located at differing parts of the network. It is assumed that there is separate ownership of the generating plants and transmission lines. The modeling scheme is applied to the IEEE standard 14 and 30 power systems which involves solving a modified optimal power flow problem (OPF) iteratively using the MINOS package. It is concluded that the method has a potential wide application in wheeling rates of electricity supply.

Key concepts: Wheeling, Electricity, Computer science, Electric power transmission, Transmission (telecommunications), Electricity pricing, AC power, Electricity market

Related papers

Back to paper searchBrowse research topicsOriginal source
Wheeling rates evaluation using optimal power flows — Research Paper | ScholarLens