Research On The Optimal Planning Of Power Grid Including The CSP Station And Fluctuating Renewable Energy

The CSP plant has energy time-shift characteristics.As a flexible unit that can respond quickly,incorporating it into the planned power source of the power supply plan can effectively improve the consumption of volatile new energy and improve resource utilization.This paper has focused on the optimal planning of power grids containing CSP and fluctuating renewable energy.Firstly,this paper has conducted output power modeling and analyzed the operating characteristics of CSP and fluctuating renewable energy.For the CSP stations,its energy flow and thermal power conservation characteristics were used to model,and the actual operating data were used to clarify its energy time-shift characteristics which have promoted the wind power and the photovoltaic consumption.For the wind power and the photovoltaics,the probability density equation and distribution function were used for uncertainty modeling,and actual operating data were used to clarify the impact of its output fluctuation on power planning.Secondly,the scenario analysis theory was used to describe the volatility of output power of wind power and photovoltaic,a multi-scene analysis method for wind power and photovoltaic power output was proposed,and the improved k-means clustering algorithm was used to reduce the scenario to ensure accurate description while improving operational efficiency.Two calculation examples show that the typical scenarios selected by the improved algorithm proposed in this paper can effectively describe wind power and photovoltaic output,and maintain the probability distribution characteristics and timing characteristics of the initial scenario.Then,according to the two time-scales of planning and operation,a bi-level power planning model with CSP stations and fluctuating renewable energy sources were established.The optimal annual cost economy was taken as the objective function on the upper level,and considering the resource capacity constraints,the power installed capacity was taken as the decision variables.Simultaneously,the optimal operating economy of each scenario were taken as the objective function on the lower layer,and considering the operating and system constraints of each unit,the output power of each power source was taken as the decision variable.And then,the genetic algorithm and wind-driven optimization algorithm were used to solve the upper and lower models respectively.Finally,an actual example system was established to verify and analyze the scene reduction algorithm and planning model proposed in this paper.The single-layer and multi-scenario planning considering the CSP,the multi-scenario bi-level planning considering the CSP,the multi-scenario bi-level planning without considering the CSP,the single typical daily scenario bi-level planning considering the CSP,and the annual time series scenarios bi-level planning considering the CSP,these five planning schemes were compared to show that the planning scheme proposed in this paper considering the multi-scenario bi-level planning model of CSP is better in terms of economy,efficiency and practicability.