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Multi-objective Optimization of Integrated Energy Systems Considering Ladder-type Carbon Emission Trading and Refined load demand response

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Journal of Modern Power Systems and Clean Energy 2024年第3期12卷 828-839页

作者： Yanhong Luo Haowei Hao Dongsheng Yang Bowen Zhou the Department of Electric Engineering Northeastern UniversityShenyang 110004China

In this paper,a novel multi-objective optimization model of integrated energy systems(IESs)is proposed based on the ladder-type carbon emission trading mechanism and refined load demand response ***,the carbon emission trading mechanism is introduced into the optimal scheduling of IESs,and a ladder-type carbon emission cost calculation model based on rewards and penalties is established to strictly control the carbon emissions of the ***,according to different response characteristics of electric load and heating load,a refined load demand response model is built based on the price elasticity matrix and substitutability of energy supply *** these basis,a multi-objective optimization model of IESs is established,which aims to minimize the total operating cost and the renewable energy source(RES)***,based on typical case studies,the simulation results show that the proposed model can effectively improve the economic benefits of IESs and the utilization efficiency of RESs.

关键词： Integrated energy system carbon emission trading load demand response renewable energy source

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A robust optimization model for demand response management with source-grid-load collaboration to consume wind-power

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Global Energy Interconnection 2023年第6期6卷 738-750页

作者： Xiangfeng Zhou Chunyuan Cai Yongjian Li Jiekang Wu Yaoguo Zhan Yehua Sun Zhongshan Power Supply Bureau of Guangdong Power Grid Co. Ltd.Zhongshan 528401GuangdongP.R.China School of Automation Guangdong University of TechnologyGuangzhou 510006GuangdongP.R.China

To accommodate wind power as safely as possible and deal with the uncertainties of the output power of winddriven generators,a min-max-min two-stage robust optimization model is presented,considering the unit commitment,source-network load collaboration,and control of the load demand *** the constraint functions are linearized,the original problem is decomposed into the main problem and subproblem as a matrix using the strong dual *** minimum-maximum of the original problem was continuously maximized using the iterative method,and the optimal solution was finally *** constraint conditions expressed by the matrix may reduce the calculation time,and the upper and lower boundaries of the original problem may rapidly *** results of the example show that the injected nodes of the wind farms in the power grid should be selected appropriately;otherwise,it is easy to cause excessive accommodation of wind power at some nodes,leading to a surge in reserve costs and the load demand response is continuously optimized to reduce the inverse peak regulation characteristics of wind ***,the most economical optimization scheme for the worst scenario of the output power of the generators is obtained,which proves the economy and reliability of the two-stage robust optimization method.

关键词： Renewable power system Optimal dispatching Wind-power consumption Source-grid-load collaboration load demand response Two-stage robust optimization model

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