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作 者:刘文霞 王丽娜 LIU Wenxia;WANG Lina(State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(North China Electric Power University),Beijing 102206,China)
机构地区:[1]新能源电力系统国家重点实验室(华北电力大学),北京102206
出 处:《华北电力大学学报(自然科学版)》2023年第6期1-10,共10页Journal of North China Electric Power University:Natural Science Edition
基 金:国家重大科技专项(2020YFC0827001)。
摘 要:由于自备供热电厂挤占了系统基荷,并且多数省份自备供热电厂未被要求参与调峰,因此,在系统调峰充裕度愈发紧张的“十四五”期间,研究了自备供热电厂在碳配额、可再生能源配额下的新挑战,为使自备供热电厂在北方冬季供暖期释放调峰空间,提出了自备供热电厂与风电场调峰权交易的模型;其次,分析了交易主体对联盟的贡献,建立多因素改进的Shapley值利润分配模型。进而,采用广义析取规划方法和分段线性化方法将非线性模型转化为混合整数线性模型,利用求解器对模型进行求解。最后,通过算例仿真验证了模型的正确性,并探究了碳交易价格对交易结果的影响,缓解电力系统在电力改革的过渡期出现的调峰紧缺现象,为自备供热电厂提供了利益保障。Captive heating plants are crowding the system baseload,and many captive heating plants in most provinces are not required to participate in peaking regulation.Therefore,in the 14th Five-Year Plan period,when the peaking capacity of the system is getting tighter,we studied the new challenges of captive heating plants under the carbon and renewable energy quotas.Firstly,we proposed a model to free up peaking space for captive heating plants in the northern winter heating period.Secondly,the contribution of the trading agents to the alliance was analyzed,and a multi-factor improved Shapley value profit distribution model was established.Then,the generalized analytic programming method and segmented linearization method were used to transform the nonlinear model into a mixed-integer linear model,and the solver was used to solve the model.Finally,the correctness of the model was verified by simulation,and the impact of carbon trading price on the trading results was explored to alleviate the shortage of peaking in the power system during the transitional period of power reform and to provide benefits for captive heating plants.
关 键 词:自备供热电厂 调峰权 碳配额 SHAPLEY值 混合整数线性
分 类 号:TM61[电气工程—电力系统及自动化]
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