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PDF(2718 KB)
PDF(2718 KB)
协同综合需求侧响应的多能微网低碳优化调度与低保守度鲁棒求解方法
Multi-Energy Microgrid Low-Carbon Optimization Scheduling and Robust Solution Method with Low Conservatism Based on Collaborative Comprehensive Demand Side Response
【目的】为应对可再生能源和负荷的不确定性对多能源微电网的经济性和低碳运行的负面影响，挖掘综合需求响应潜力，提出电热微网低保守度鲁棒求解方法。【方法】首先基于电网热网约束和电热综合需求响应特性及电热转化过程，构建多能微网低碳调度模型；为提升运行方式在复杂不确定性环境下的鲁棒抗扰能力，提出基于高维线性多面体的不确定集构造理论，将所提模型重塑为低保守度的鲁棒优化模型求解问题；进一步，利用强对偶理论，将所提鲁棒模型转化为混合整数优化模型求解，采用IEEE 33节点多能微网测试系统进行测算。【结果】与传统优化调度策略相比，所提调度方法的运行成本和碳排放量降低了5.30%和6.46%；计及综合需求响应，所提模型结果运营成本降低了4.11%。【结论】所提方法可为多能源微电网的经济低碳运行提供理论和模型参考，有较大实用价值。
[Objective] To address the negative impacts of renewable energy and load uncertainty on the economic performance and low-carbon optimization operation of multi-energy microgrids，this paper explores the potential of comprehensive demand response and proposes a low-conservatism robust solution method for the electric-thermal microgrid. [Methods] Firstly，a low-carbon scheduling model for multi-energy microgrids is constructed based on the constraints of the power grid and thermal network，as well as the characteristics of the combined electric-thermal demand response and the electric-thermal conversion process. To enhance the robustness and disturbance resistance of the operation mode in complex uncertainty environments，a theory of constructing uncertain sets based on high-dimensional linear polyhedra is proposed，which transforms the proposed model into a low-conservatism robust optimization model for solution； further，using the strong duality theory，the proposed robust model is transformed into a mixed integer optimization model for solution. This paper uses the IEEE 33-node multi-energy microgrid test system for calculation. [Results] The calculation results show that，compared with the traditional optimization scheduling strategy，the proposed scheduling method reduces the operation cost and carbon emission by 5.30% and 6.46%； considering the comprehensive demand response，the proposed model reduces the operation cost by 4.11%. [Conclusions] The calculation results verify the economic and low-carbon performarce of the proposed method.
multi-energy microgrid / robust optimization / duality theory / comprehensive demand response
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With the continuous advancement of "double carbon" target，to alleviate the contradiction between supply and demand of a power-thermal integrated energy system（IES），and stabilize load fluctuations and reduce carbon emissions，a low-carbon economy dispatch strategy for the IES taking the characteristics of power and heat loads into account is proposed. An energy hub model of the IES can reflect the characteristics of flexible power and heat loads on user side. The objective function aims at minimizing the sum of carbon trading cost and operation cost of the IES. Solved by Cplex solver，the day-ahead operation cost and carbon trading cost of the IES under two scenarios are obtained. According to the simulation results，the reduction of the IES day-ahead operation cost and carbon trading cost made by flexible power and heat loads under carbon trading mechanism is expounded. Flexible loads can lower the IES day-ahead operation cost by smoothing the load curve and diminishing peak-valley difference， so as to alleviate the source-load contradiction and carbon emissions. |
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In order to solve the problem that the uncertainty of wind power and photovoltaic power generation output easily affects the scheduling of virtual power plant, a new optimal scheduling model of virtual power plant is proposed based on information gap decision theory (IGDT). In order to reduce the carbon emission of the system, carbon capture and storage (CCS) is installed on the combined heat and power units; in order to improve the utilization rate of renewable energy, the power to gas (P2G) device is introduced into the system, and the operation mode of CCS-P2G coupling is proposed; based on the operation of CCS-P2G coupling, the uncertainty of wind power and photovoltaic power generation output is considered based on the information gap decision theory. The model is solved by CPLEX solver, and the results show that under the coupled operation of CCS-P2G, the utilization rate of solar and wind power reaches 100%, the operating cost of the system is reduced by 12.3%, and the economy and low carbon of the system are effectively improved; under the IGDT strategy, when the uncertainty of wind power and photovoltaic power generation output does not exceed the upper limit through cost reservation, the virtual power plant operation can be effectively controlled within the scheduling cycle. |
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