考虑碳捕集利用与封存的多能互补项目投资决策优化研究

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Optimization of Investment Decisions for Multi Energy Complementary Projects Considering Carbon Capture， Utilization and Storage

GUO Yubo1，2 BAI Jingjing'LIAO Fengqun' ZHAN Wenting³ WU Wen4 （1. School of Economics and Management， Southwest Petroleum University，Chengdu 6105Oo，China; 2. Key Laboratory of Security and Low-carbon Development，Southwest Petroleum University，Chengdu 610500，China; 3. Business School， Sichuan University， Chengdu 610065，China; 4.Yunnan Highway Network Toll Management Co.，Ltd.，Kunming 65O1OO，China）

Abstract： To achieve the low-carbon transition of the energy system under the Carbon Peak and Carbon Neutrality Goals，develops an investment decision optimization model fora multi-energycomplementary system based on“photovoltaic power generation + coal power + CCUS（Carbon Capture，Utilization，and Storage）”.Optimizing the installed capacity configuration of photovoltaic power generation equipment，coal power generation equipment，and CCUS systems is focusedon. By integrating the volatility of photovoltaic output，the peak-shaving capability of coal power，and the dynamic synergy with CCUS carbon capture eficiency，a nonlinear programming model is constructed with the objective of minimizing initial investment costs.The sequential least squares programming（SLSQP）method is employed to solve for the optimal capacitycombination.Case study results demonstratethat the multi-energy complementary mode significantly reduces initial investment costs by 9.75% through the synergistic optimization of photovoltaic penetration and coalpower peak-shaving，with a marginal cost-benefitratioof1.O24：1.The direct contribution of capacity synergy between photovoltaic installtionand coal power peak-shaving capabilityto system cost reduction is validated.An economicallyand technically feasible capacityconfiguration pathwayfor thelow-carbon transitionof highcarbon energy systems is thereby provided，which holds significant practical value.

Keywords：multi energy complementary system；optimization of investment decisions；carbon emission constraints; SLSQP algorithm; marginal cost-effectiveness

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