Optimization Model Of Power Generation Right Transaction Considering Carbon Trading Income And Network Loss Cost

In recent years,with the gradual aggravation of the greenhouse effect and the energy crisis,countries around the world have begun to take active actions to control the emissions of greenhouse gases.China has put forward the carbon reduction targets of carbon peak by 2030 and carbon neutral by 2060,with a view to promoting the adjustment of power supply structure and reducing consumption and emission.On the way to realize the low carbon of the power system,the generation right transaction has received a lot of attention.Through the transaction of power generation rights between conventional energy and wind power,new energy has an additional share of power generation to participate in the grid.At the same time,when there is a security problem in the grid connection of new energy power generation,the surplus share of power generation can also be transferred to thermal power to solve the contract power generation,which is highly practical and economical,and is an important market means to solve the problem of new energy consumption and energy conservation and emission reduction.To this end,this paper proposes an optimization model of power generation rights trading in new energy systems that takes into account carbon trading gains and network loss costs,so as to promote all kinds of power generation companies to actively participate in power generation rights trading.First of all,adopting the intra-day multilateral negotiation trading mode,short-term and real-time power trading can better realize the adjustment and optimization of the resource structure,reduce the phenomenon of power abandonment caused by the forecast deviation of new energy,and the multilateral trading mode is conducive to expanding the trading scope and improving efficiency.Then,by integrating the carbon trading mechanism,on the one hand,we can obtain the carbon emission reduction benefits generated by the power generation rights trading,on the other hand,we can achieve the priority of low carbon units under the similar internal costs of thermal power units,so as to build a variety of power generation rights trading structures of wind fire,light fire and fire,and fully tap the emission reduction potential of each unit.Then,through the power flow tracing and cost conservation principle based on the power component theory,the change of network loss cost before and after the transaction is calculated,and the unification of power flow and cost flow is realized,which provides a reference for the control and settlement of network loss cost.Finally,taking the optimization of comprehensive income after multilateral negotiation and trading as the objective function,taking into account the output characteristics,system security and other constraints,an optimization model of electricity quantity for intra-day generation rights trading is established,and an improved IEEE 39-bus system is used as an example for simulation analysis.The results show that through the above transactions,the economic benefits of the system and the level of new energy consumption have been improved,while reducing carbon emissions.According to the analysis of the example,in the multi-node system,the change of the network loss cost of the whole system caused by the participation of some units in the generation rights transaction is a non-negligible expense.At the same time,introducing the carbon trading mechanism into the power generation rights transaction involving the participation of new energy can also further tap the carbon emission reduction potential of thermal power units after the transaction of thermal power and new energy,and maintaining a certain carbon price level is conducive to mobilizing the active participation of power producers in the transaction.To sum up,the model in this paper combines the power system trend with the power market,takes into account the various indicators and cost changes in the transaction process,ensures the fairness and rationality of the transaction,and fully exploits the emission reduction potential of each power source,improves the low-carbon and economic performance of the system,which is an important means to achieve the goal of "double carbon".