Investigations On Management Mechanisms Of Ancillary Services And Bidding Strategies In Ancillary Service Markets

Traditionally, ancillary services were bound with power energy in China, which weresupplied without compensation as well as the on-demand scheduled. Consequently, it is nothelpful to inspire the power generation enterprises to provide sufficient and high-qualityancillary services, which has become a potential threat for the safe and stable operation of thepower system. Therefore, in2006, six regional power supervision institutions issued thegrid-connected operation assessment regulation and the ancillary services compensationregulation, also known as the two regulations, which indicated that the managementmechanisms of ancillary services had transformed from free charge into paid use. Under thisbackground, developing qualitative and quantitative analysis tools for the managementmechanism of ancillary service is valuable to the application of engineering. Besides, researchon transaction mechanism will lay the foundations for marketing operating. Furthermore, it isa foresighted topic to discuss ancillary service transaction with electric vehicles.The main achievements of this thesis can be summed up as follows:(1) In order to analyze the characteristics of the compensation mechanisms, horizontalcomparison of the compensation algorithms among the six regional power grids in China isconducted.(2) Taking the Southern Power Grid for example, qualitative analysis and quantitativemeasurement are carried out on the two regulations. The qualitative analysis focus oneconomic analysis of the power plants participating in the two regulations, while a three-gardeevaluation index system is developed for the comprehensively quantitative evaluation of thetwo regulations with the well-established fuzzy analytic hierarchy process employed. Anactual example of the Guangdong power system is served for demonstrating the effectivenessand practicality of the developed evaluation index system.(3) Discussion about marketing transaction mechanism in the electricity marketenvironment is given. A multi-objective bidding model for reserve provisions is developedwith economics, reliability and emissions taken into, in which the expected reserve not served(ERNS) is defined to describe the supply reliability associated with reserves. Then, atwo-stage algorithm combined with the multi-objective particle swarm optimization (MOPSO) algorithm and the entropy weight decision-making method is presented to solve themulti-objective bidding model. Finally, an example with12bidders including generators andinterruptible loads is employed to illustrate the essential feature of the developed model andthe efficiency of the presented algorithm.(4) As plug-in hybrid electric vehicles (PHEVs) are expected to be widely used in thenear future, a mathematical model is developed based on the traditional security constrainedunit commitment (SCUC) formulation to address the power system dispatching problem withPHEVs taken into account. Further, the features of PHEVs as mobile energy storage units areapplied to decouple the developed model into two sub-models, involving the unit commitmentmodel and the charging and discharging scheduling model that includes AC power flowconstraints. The feasibility and efficiency of the proposed model are verified with a6-bus testsystem and the IEEE118-bus test systems. Finally, the power system dispatching with electricvehicles agent is discussed.