Abstract
This paper describes a practical approach to identify nodal price compensation payment for nodal consumers willing to reduce their energy consumption (consumers’ demand response). The implementation of a nodal reliability service pricing is based on contingency assessment of N − 2 order for transmission lines. A representative annualized demand curve is used to reflect the system’s operation condition by seasons. Such curve is used to access the nodal reliability impact trough a whole year in order to determine back-payments (incentive payment) to users for service interruption. The IEEE_RTS 24 nodes system is used to implement the proposed approach.
Highlights
Electricity restructuring, called deregulation, enhances competition among energy suppliers and gives the consumer the ability to choose an electric supplier based on a CrossCheck date: 18 November 2016Received: 20 August 2016 / Accepted: 18 November 2016 / Published online: 6 January 2017 Ó The Author(s) 2017
To address the limitations above, this paper develops a mechanism for obtaining high reliability nodal prices and compensating for nodal interruption, using incentive based programs (IBP) based on demand response (DR)
The nodal identification of interruptible loads is based on the expected nodal energy not supplied (ENENS) and a structural decomposition of the system reserves in order to improve the loss of load probability (LOLP) reliability index
Summary
Electricity restructuring, called deregulation, enhances competition among energy suppliers and gives the consumer the ability to choose an electric supplier based on a CrossCheck date: 18 November 2016. The nodal identification of interruptible loads is based on the expected nodal energy not supplied (ENENS) and a structural decomposition of the system reserves in order to improve the loss of load probability (LOLP) reliability index The method sets both a tariff for high nodal reliability performance and a ‘‘money back’’ payment incentive for interruptible loads. It offers users on DR programs a transparent, simple way to calculate their expected amount of reimbursements based on their level of service interruptions.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
