Research On Generation Scheduling Optimization Model And Settlement Mechanism Under Power Market Environment

Since China launched a new round of power system reform in March 2015,medium and long-term power transactions have been widely carried out in all provinces across the country,and eight provinces have achieved trial operation of power spot market.As the power trading and scheduling management system,market mode and market development path are very different from the existing foreign power markets,how to design the generation scheduling optimization model and settlement mechanism suitable for different stages of development is a key theoretical and practical problem that needs to be solved in the construction of domestic electricity market.Based on the above background,this article has carried out the following research work:(1)Study on the optimization model of multi-period power generation dispatch under medium and long-term electricity contracts.Aiming at the medium and long-term electricity trading market before the establishment of the spot market,a monthly deviation electricity balancing mechanism based on pre-bidding is proposed,and a multi-period power generation dispatching optimization model,including with monthly pre-generation plan rolling revision,day-ahead power decomposition and power generation plan optimization,intra-day power generation plan adjustment,is constructed while considering factors such as load demand forecast deviation,unit operation constraints,and grid operation constraints.The simulation results show that the mechanism and model can minimize the cost of monthly deviation electricity adjustment while ensuring the safe operation of the power grid.At the same time,it can realize the replacement power generation of low-cost units to high-cost units,and improve the economy of system operation.(2)Modeling analysis of the impact of medium and long-term physical contract on spot market clearing prices.The multi-agent deep reinforcement learning based on the MADDPG algorithm is used to study the game problem of multiple generators under electricity market environment,and a market simulation model combining electricity spot market clearing model and generator's bidding strategy decision model is built.Through the analysis of the simulation results under scenarios of complete market competition and market power due to congestion,the effectiveness of the simulation model is verified.Finally,the model is applied to analyze the impact of medium and long-term physical contract ratio on spot market bidding behavior and market clearing prices under the environment of high market concentration on the power generation side.(3)Study on day-ahead market clearing model compatible with medium and long-term physical contract.Considering that in China's decentralized power market,both medium and long-term physical contract and day-ahead spot transactions require physical delivery of electricity,a day-ahead spot market clearing model that considers grid security constraints based on medium and long-term contracts is proposed.The model allows generators to independently determine the operation plan and realizes the congestion management and Pareto improvement of medium and long-term physical contract through reverse transaction bidding mechanism,demand-side flexible resource quotation is also introduced to meet the needs of flexible loads to participate in the day-ahead market,and balancing slack variable is set to solve the model solving problem under extreme supply and demand conditions Multi-scenario simulation examples show that the model can adapt to the operating needs of different market scenarios,and improve the two-stage overall social welfare of day-ahead market and real-time balancing market.(4)Study on the day-ahead market clearing model adapting to the participation of distributed energy.Based on the two-part transmission and distribution price,a day-ahead market clearing model is constructed for the collaborative optimization of transmission wholesale market and the distributed trading market under spot market environment.The generalized master-slave splitting algorithm is used to solve the model,pricing and settlement mechanism of the distributed trading market is also designed based on the principle of incentive compatibility.The simulation results show that the model can fully reflect the price elasticity of the distributed trading market to the transmission wholesale market and promote the nearby consumption of distributed energy.(5)Study on the decoupling settlement mechanism of energy market.Based on the systematic study of the relationship between various power transactions and power dispatch,power delivery and settlement,an imbalance energy settlement formula and electricity energy transaction decoupling settlement mechanism suitable for various electricity market models is proposed,which can contribute to guide the design of market settlement mechanism and rule-making,and help reduce the construction cost of electricity market settlement system.The above-mentioned research results of the paper can provide theoretical models and methods for the design of power generation scheduling optimization models and settlement mechanism in different market development stages,and also have the application prospect in the design and operation of future power markets.