Self-scheduling Strategy to Improve the Real-time Flexibility of CHP Unit by Utilizing Heat Network Dynamic Characteristics
The combined heat and power(CHP)units can utilize the dynamic characteristics of regional heating networks(DHNs)to provide flexibility for the power system.Decision issues regarding CHP unit participation in intraday flexible trading markets,a self-scheduling strategy is proposed to improve the real-time flexibility of CHP units by utilizing the dynamic characteristics of heat supply network.On the basis of analyzing the real-time flexibility mechanism provided by the dynamic characteristics of DHNs,the daily self scheduling cycle of CHP units is divided into two stages:flexibility service period and heat balance recovery period.Optimization scheduling models based on quality regulation and supplemented by quality regulation are established,respectively.The heating network dynamic model based on the generalized phasor method is used to depict the heating network constraints during the quality regulation process.Using its incremental network model to reflect the impact of quantity regulation on the heating network,a heat balance network constraint equation for DHNs during self scheduling cycles is formed.By introducing quantity regulation during the thermal balance recovery period,the thermal power regulation capability during the flexible service period is increased,further releasing the electrical power regulation capability of CHP units.The effects of moderately introducing quantity regulation in the process of quality regulation on improving the flexibility of CHP units are verified by a numerical example analysis.In the upward and downward flexibility demand periods of the intraday flexibility market,compared to the qualitative adjustment strategy,the total profit change of CHP units has been increased by 25.6%and 24.5%,respectively,which verifies the characteristics and effectiveness of the proposed self scheduling strategy.
combined heat and powerheat network dynamic characteristicsflexibilityquantity regulationintraday flexibility market
万方数据
维普
