Abstract

The use of appropriate hourly reserve margins can maintain power system security by balancing supply and demand in the presence of errors in the forecast demand, generation outages, or errors in the forecast of wind power generation. Because the cost of unit commitment increases with larger reserve margins, cost analysis to determine the most economical reserve margin is an important issue in power system operation. Here, we define the “short-term reliability of balance” and describe a method to determine the reserve margin based on the short-term reliability of balance. We describe a case study, in which we calculate the reserve margin using this method with various standards of short-term reliability of balance. A cost analysis is then performed to determine the most economic standard, and a comparison between our method and a conventional method is carried out. The results show that our method with an economic short-term reliability of balance enables more reliable and efficient operation of the power system. Moreover, with an hourly reserve margin, we show that an increase in wind power generation can result in a significant decrease in the operating cost, which makes wind power generation economically viable.

Highlights

  • One of the most important characteristics of power systems is that demand and supply be balanced at all times

  • This paper describes a unit commitment method that considers the uncertainties caused by load forecasting, generation outage, and wind power forecasting

  • The major contributions of this paper are as follows: (1) precise generation outage modelling is formulated from unit commitment result based on the premise that volume of generation outage occurred equals the volume planned in unit commitment; (2) a new algorithm is proposed that can perform unit commitment with minimum reserve margin constraints in order to maintain the reliability standard in all time period, where the minimum reserve margin constraints are calculated with consideration of demand forecasting and wind power forecasting errors as well as generation outage; and (3) a case study is carried out to identify the usefulness of the proposed method in terms of improved reliability and cost-effectiveness, compared to the conventional method

Read more

Summary

Introduction

One of the most important characteristics of power systems is that demand and supply be balanced at all times. The major contributions of this paper are as follows: (1) precise generation outage modelling is formulated from unit commitment result based on the premise that volume of generation outage occurred equals the volume planned in unit commitment; (2) a new algorithm is proposed that can perform unit commitment with minimum reserve margin constraints in order to maintain the reliability standard in all time period, where the minimum reserve margin constraints are calculated with consideration of demand forecasting and wind power forecasting errors as well as generation outage; and (3) a case study is carried out to identify the usefulness of the proposed method in terms of improved reliability and cost-effectiveness, compared to the conventional method.

Probability Distribution Model of Demand Forecast Error
Probability Distribution Model of Generator Outages
Probability Distribution Model of Forecast Error for Wind Power Generation
Algorithm for Dynamic Reserve Estimation
Solution
Operating Cost
Generation Costs
Load-Shedding Cost
Forecast
Forced
Method with with aa Constant
Hourly
Conclusions
Full Text
Paper version not known

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 call

Disclaimer: 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.