Font Size: a A A

Unit Commitment Model Considering Considering Regulation Fairness With Dual-rail Power System

Posted on:2021-02-24Degree:MasterType:Thesis
Country:ChinaCandidate:Z B WangFull Text:PDF
GTID:2392330611451144Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
The development and utilization of renewable energy and the development of directelectricity trading are both long-term and important measures for the sustainable development of China's power system.However,with the increase in the number of large-scale wind power grid-connected and direct electricity transactions,system operation fluctuations become more frequent and complicated and also caused problems for the power system.On the one hand,due to the obvious,fluctuating,random and intermittent nature of wind turbines,it brings great uncertainty to the operation of the system.On the other hand,the introduction of direct power purchase puts the system in the dual-rail system,and the increasing number making the system's dispatch operation more complicated.The existence of the above two factors have resulted in a significant increase in the peak regulation demand of the system.However,the current basic peak regulation of the system is different from the deep peak regulation which has a complete compensation policy.The basic peak regulation belongs to the category of voluntary peak regulation,and no compensation will be given.As a result,the issue of dispatching fairness in system operation has become increasingly prominent and needs to be resolved urgently.Based on the above background,this paper analyzes the organic combination research and clarifies its limitations,and then analyzes the basic theories needed for this research.Firstly,the economic factors affecting the peak shaving operation of the unit are analyzed,and the existing peak regulation auxiliary service compensation mode is analyzed.On this basis,this paper analyzes the objects and modes of the current direct power purchase model.This paper also analyzes the operating characteristics of wind power,and gives a wind power prediction model based on the scenario reduction method.Finally,the objective function and constraint conditions of the conventional unit combination model are analyzed.Based on the above background,this paper considers the cost increment caused by frequent adjustment of load rate and the loss caused by excessive short-term adjustment when the unit participates in basic peak shaving.The basic peak shaving is quantified in the form of cost.On this basis,introduce the fairness constraint of the Gini coefficient method,establishing a fairness measurement index;simulate the actual power direct transaction model,and introduce the form of time-sharing electricity prices to highlight the impact of directpower trading on the system;introduce high-capacity proportion wind turbines to explore the impact of renewable energy on the system.Based on the above,a unit commitment model considering the basic peak regulation fairness under the dual-rail power system with high proportion of wind power is constructed.Finally,based on the ten-unit system,this paper makes a comparative analysis of the basic peak regulation of the system with or without fairness method and the impact of the system using the common rotation scheduling method of actual operation dispatching.It also analyzes the impact of direct electricity trading and large-scale wind power on the system.The results show the applicability of the Gini coefficient as an indicator of system fairness,and a more comprehensive analysis of the impact of direct electricity trading and large-scale wind power on the system,verifying the feasibility and effectiveness of the proposed model.The results verify the necessity and effectiveness of the proposed model,which can provide a basis for China to promote direct power purchase and maintain a fair and reasonable system operation.
Keywords/Search Tags:Basic peak regulation fairness, Gini coefficient, Direct power purchase, Wind power consumption, Unit commitment
PDF Full Text Request
Related items