MULTI-OBJECTIVE OPTIMIZATION SCHEDULING MODEL OF FLEXIBLE ENERGY CONSUMPTION LOAD IN SUMMER FOR DIFFERENT TYPES OF RURAL HOUSEHOLDS IN GUANZHONG PLAIN

Liu Yanfeng; Yang Yanzi; Luo Xi

doi:10.19912/j.0254-0096.tynxb.2022-0491

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (8) : 110-118. DOI: 10.19912/j.0254-0096.tynxb.2022-0491

MULTI-OBJECTIVE OPTIMIZATION SCHEDULING MODEL OF FLEXIBLE ENERGY CONSUMPTION LOAD IN SUMMER FOR DIFFERENT TYPES OF RURAL HOUSEHOLDS IN GUANZHONG PLAIN

Liu Yanfeng, Yang Yanzi, Luo Xi

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Abstract

It is crucial to develop rural renewable energy and solve the supply and demand matching problem caused by random supply fluctuations. Within the scope of economic feasibility, the existing supply and demand matching has been basically played to the upper limit. Flexible energy load regulation is a revolutionary new method to solve the problem from the demand side. Based on the field survey data in Guanzhong countryside, this study analyzes the energy consumption characteristics of different types of households in summer, and establishes a multi-objective optimization scheduling model with the goal of economy and comfort under the premise of fully considering the flexible energy use load. The results show that： i） According to the characteristics of energy use, rural families in Guanzhong can be divided into Single Elderly Families （ TypeⅠ）, Three Generations of Family （ TypeⅡ）, Home Youth Families （Type Ⅲ） and Working Youth Families （ Type Ⅳ）; ii） Under peak-valley electricity price, the second type of household has the greatest potential for load regulation, with a reduction in electricity cost up to 19.5 % and an increase in discomfort index up to 46.3 %; The fourth type of household load adjustment potential is minimum, and the reduction rate of electricity cost is only up to 12.3 %, and the discomfort index increase rate is only up to 17.8%; iii） For shiftable flexible loads, the first three types of households have relatively great adjustable potential; for interruptible flexible loads, the first type of household has the greatest adjustable potential; for curtailable flexible loads, the second type of household has the greatest adjustable potential.

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demand-side management / multi-objective optimization / genetic algorithms / flexible load / family characteristics / K-means clustering

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Liu Yanfeng, Yang Yanzi, Luo Xi. MULTI-OBJECTIVE OPTIMIZATION SCHEDULING MODEL OF FLEXIBLE ENERGY CONSUMPTION LOAD IN SUMMER FOR DIFFERENT TYPES OF RURAL HOUSEHOLDS IN GUANZHONG PLAIN[J]. Acta Energiae Solaris Sinica. 2023, 44(8): 110-118 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0491

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