Research on optimized operation of building-type integrated energy service systems

doi:10.3969/j.issn.2097-0706.2022.02.007

Abstract

Abstract:

With the implementation of the goals of carbon peak and carbon neutrality, the integrated energy projects are booming.To deal with the strong coupling, numerous boundary constraints, volatile user load and complex operation modes of integrated energy service systems, an intelligent optimized operation and control algorithm is proposed for the systems. A load forecasting model is established by taking the collected data from source, network and load side as well as weather conditions into consideration. According to the boundary conditions,a multi-objective optimization function is established. It realizes the optimized operation of building-type integrated energy service systems under the constraints of demand and price by taking mixed particle swarm optimization algorithm. Taking a demonstrative building-type integrated energy service system in an industrial park as an example, the economy of the system has been effectively improved by the optimized operation strategy with a 6.51 per cent increase of the comprehensive energy efficiency and a 2.24% decrease of the auxiliary power ratio.

Key words: integrated energy service, intelligent optimized operation, mixed particle swarm optimization algorithm, load forecasting, comprehensive energy efficiency, carbon neutrality

CLC Number:

TK01⁺8

ZHANG Aiping, ZHAO Lixing, LIU Jing. Research on optimized operation of building-type integrated energy service systems[J]. Integrated Intelligent Energy, 2022, 44(2): 42-48.

Figures/Tables 9

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Table 1

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年份	发电总量/(GW·h)	供能总量/GJ	总耗气量/m³	自耗电/(GW·h)	能源综合效率/%
2019	21.584 3	107 141	6.578 6×10⁶	4.081 9	76.59
2021	22.013 5	118 657	6.581 2×10⁶	3.670 7	83.10