Frequency control in power system based on balancing market considering wind power forecasting error

H. R. Bae, T. Tsuji, T. Oyama, Kenko Uchida

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    In power systems with a large amount of wind power plants, frequency management is an important issue. Particularly, uncertain output depending on weather condition gives a large impact on frequency regulation. In this paper, we proposed a frequency control method in power systems based on balancing market with applying a penalty to forecasting error of the wind power output. Based on the situation in supply and demand balance in the power system, it is assumed that the owners of the wind power plants may find the optimal output which maximizes the owners' benefit with considering output curtailment and penalties corresponding to the forecasting error. It is the goal to maintain system frequency more efficiently, which means the better supply and demand balance. We performed a simulation based on power system model including generator dynamics, network and balancing market in order to confirm the variation in frequency. In addition, we calculated the price signal to be given to players in the balancing market and penalties with respect to players including generators, customers and the owners of wind power plants in the balancing market.

    Original languageEnglish
    Title of host publication2017 6th International Conference on Clean Electrical Power
    Subtitle of host publicationRenewable Energy Resources Impact, ICCEP 2017
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages376-383
    Number of pages8
    ISBN (Electronic)9781509046829
    DOIs
    Publication statusPublished - 2017 Aug 8
    Event6th International Conference on Clean Electrical Power, ICCEP 2017 - Santa Margherita Ligure, Italy
    Duration: 2017 Jun 272017 Jun 29

    Other

    Other6th International Conference on Clean Electrical Power, ICCEP 2017
    Country/TerritoryItaly
    CitySanta Margherita Ligure
    Period17/6/2717/6/29

    Keywords

    • Penalty by Forecasting Error
    • Price Signal
    • Supply and Demand Balance Control
    • Wind Power Energy

    ASJC Scopus subject areas

    • Energy Engineering and Power Technology
    • Renewable Energy, Sustainability and the Environment

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