Research On A Gini Coefficient Based Energy-Trade Scheduling Approach

The open and impartial dispatching has always been the main scheduling principle in China,which requires the formulation and implementation of annual energy schedule of each power generator to meet the requirements of open and impartial.In the recent years,with the proportion of "market power" and the new energy resources increasing,the operation of power system is becoming more and more complicated.As its foundation and one of the most important processes,electric energy trade scheduling needs to be studied theoretically and methodically under the new situation.However,the fairness index which is recognized with theory basis is always lack in the open and impartial dispatching currently,at the same time,the existing annual electricity trade scheduling method is relatively extensive,and is unable to adapt to "market power" and "electricity" double-track operation and the new situation of new energy power ratio increases year by year.The existing monthly electric energy trade scheduling methods considered new energy and traditional energy in a decoupled way,and did not take into account the actual operation constraints.The existing day-ahead and intra-day generation schedulings usually do not consider the implementation of power plan,or consider the power constraint too loose or too tight,so it is difficult to realize the balance between economy and fairness.In this thesis,by introducing the internationally recognized fairness index,Gini coefficient into each part of the formulation and implementation of the electric energy trading plan,and considering the new energy output uncertainty and the new situation,the electric energy trade scheduling theory is studied deeply including the aunual and monthly and the daily time scales.In the annual electric energy trade scheduling,the Gini coefficient is introduced as the index to measure the fairness of the annual utilization hours of each unit.Combined with the current "market power" and "electricity" double-track operation and the new situation of new energy power ratio increases year by year,at the same time considering the traditional annual electricity plan method is too rough and equity considerations such problems as lack of theoretical basis,an annual electric energy trade scheduling model is proposed under the"electricity" and "market power" double-track operation based on Gini coefficient,by increasing the monthly scheduling processes in the second stage decision,to better cope with all sorts of problems existing in the current annual capacity planning.The simulation results show that the Gini coefficient and the two-stage optimization model can get more accurate and reasonable results of electricity distribution and better control of coal consumption and pollution gas emission.In the monthly electric energy trade scheduling process,a time sequence simulation method for medium and long-term power decomposition of wind,nuclear,water and fire energy sources for monthly energy-trade scheduling was proposed,based on the Gini coefficient.The actual operation constraints of the system were carefully considered,and the corresponding two-stage and three-stage optimization models were established.The introduction of Gini coefficient solves the problem of unreasonable selection of fairness index and threshold setting of traditional scheduling of "the open and impartial dispatchin" and the lack of theoretical basis.The improvement of time sequence simulation method,at the same time considering wind power output probability statistical properties,nuclear power unit operation mode and conventional peaking capacity,which has solved the traditional energy with clean energy and lack of unified coordination,not included in the system operation constraints,and lead to poor planning enforceability were problems,and avoid the traditional timing simulation method to calculate large scale,poor practicability.The calculation results show that the method and model can significantly improve the economic efficiency and feasibility of the monthly electricity generation plan under the same fairness degree,and improve the acceptance capacity of clean energy,and have good practicability in the large-scale system with many units.In the development of day-ahead and intra-day rolling power generation scheduling models for power systems,the fairness of electricity execution schedule needs to be considered,so as to lay a foundation for annual electricity execution schedule deviation reaching the target.The Gini coefficient fairness constraint was introduced to establish day-ahead and intra-day rolling power generation scheduling model with wind power system.Through the coordination and optimization of target power quantity and power generation schedule,the fairness acceptable to power producers,economic efficiency of power grid operation and renewable energy consumption were balanced.As a measure of the fairness of resource allocation with a clear and fair value range,Gini coefficient is introduced to measure the execution progress of electricity quantity,which can not only improve the feasibility and economy,but also ensure the fairness and thus be more acceptable by all parties.Regulators can adjust the Gini coefficient to change the emphasis on economy and fairness.The simulation results show that the introduction of Gini coefficient power execution schedule fairness constraint,under the premise of priority dispatching of wind power,not only to ensure the economy of system operation to a certain extent,but also to ensure the smooth completion of monthly and annual power plan.Proper setting of Gini coefficient equality index of electric quantity progress(recommended value is 0.3)can not only ensure the difference of electric quantity completion progress of each unit within the acceptable range,but also give due consideration to the economy of system operation.Regulators can adjust the Gini coefficient to change the emphasis on economy and fairness.