The Design Of Power Market Dynamic Simulation Platform And Its Applications In Emission Congestion Study

The generation, transmission and utilization processes of electric power include the flow of energy, capital and information. The physical stability constraints (such as thermal, static, dynamic and transient constraints) may make the transmission capability cannot support the most economical power transaction, thus reduce the market efficiency. In power market, the influence of power system thermal stability out-of-limit is called congestion, which is the major interaction channel between power system and power market.Moreover, there are many other factors that may introduce obstruction into the mentioned flows and thereby affect market efficiency, which have not received enough attention, including primary energy shortage, emissions limits, limited number of competitors, insufficient cash flow, deficiencies of infrastructure, underdevelopment of technical support, regulation failures, etc. Those factors will affect not only the reliability and quality of power supply, but also the efficiency and stability of market by reducing/increasing the market power of the blocked/unblocked participants. The obstructions of the energy, capital and information flows could be named as generalized congestions. The capability of a participant to affect the market efficiency through generalized congestion could be called market power, while its ability to affect social welfare could be named as generalized market power. Generalized congestions and generalized market power are the channels of the interactions among power market and the related areas.Conventional analytical and simulation methods cannot handle the complex interaction dynamics among different generalized congestion and gaming behavior. Dynamic interactive simulation is necessary, in order to reflect the influences of different congestions and gaming on market efficiency social welfare. Thus it is possible to evaluate the capability of market participants to influence congestion risk and market stability; to analyze influences of different congestions on participants' market power; to study how regulator can use initiative control to restrict and defense uncontrolled market power; to study the coordinated optimization among congestion, market power and control measure, and unifying technical and economic problems.Against the problem mentioned above and centered on the theoretical framework of generalized congestion, this thesis discussed the function demand and research directions of power market simulation platform, based on which a novel simulation platform, DSPMPS (Dynamic Simulation platform for Power Market & Power System), is design and implemented. Research work already done has proved the validity of DSPMPS. At the end of this thesis, mutual influences between emission congestion and transmission congestion are studied on DSPMPS.The concept of power market simulation platform is reviewed. In order to support the interactive simulation that based on the hybrid system dynamics model of power market and power system, the function design targets are proposed through aspects of information acquisition, knowledge extraction and decision support. Based on experimental economics that allow multi-gaming, simulation is driven to acquire the dynamic response curve of power market. Except for the qualitative and static knowledge, it is necessary to acquire quantitative knowledge of the system stability, based on which risk analysis, and further sensitivity analysis can be conducted. Thus this novel research tool can provide decision support for power market gaming which includes multi-domain, multi-criterion and multi-player.Centered on the theory framework of generalized congestion and based on the previous work of our research group, this thesis designs and implements DSPMPS (Dynamic Simulation platform for Power Market & Power System). Requirements of power market simulation and technical supports for simulation platform are reviewed, and the design objective is presented. Primary problem been solved are the implementation of experimental economics, multi-discipline dynamic interactive simulation, on-line quantitative risk analysis, multi-criterion and multi-control decision supports. Research work already carried out has validated the effectiveness of DSPMPS. By the way, this simulation platform has been identified and approved by the Major Project of Chinese National Programs for Fundamental Research and Development (973 Program) commission experts.The energy-saving and emission-reduction measures have been applied all around the world. Considering the new challenges that GHG emission trading may bring to power system, a survey of emission trading and emission congestion has been conducted. The current status and development of emission trading are introduced through aspects like reduction target, participants, initial allocation, accounting, etc. Characteristics of carbon credit as a special commodity in carbon trading are induced through its processes of accumulation, circulation and consumption. Inter-relationship among emission trading, physical law of power system and economic performance of power market are discussed. Factors that introduce difficulties in corresponding researches are highlighted, including multi-timescale dynamics, massive uncertainties, multi-player game and cross-discipline interaction. The implementation of experimental economics under the generalized congestion framework are emphasized and suggested for further researches.Centered on the generalized congestion framework, and using the cross discipline dynamic simulation environment provided by DSPMPS, the last part of the thesis studies the mutual influences between emission congestion and transmission congestion. DSPMPS provides a novel transmission dynamic congestion management scheme that manages the congestion risk by assigning risk cost and iterative bidding. Based on the scheme, transmission congestion and emission congestion are managed coordinately. Case study shows that the consequences of mutual influence between the two congestions are different under different simulation scenarios. In order to maximize the social welfare, the constraint applied to low emission units by transmission congestion should be reduced. A comprehensive risk management scheme, which assigns congestion according to the mechanism of each congestion, is suggested in this thesis.The research work of this thesis is supported by the Major Project of Chinese National Programs for Fundamental Research and Development (973 Program) (2004CB217905); National Ministry of Science & Technology Project (2008BAA13B05), China; State Grid Corporation Project (SG10013), China.