INTELLIGENT ENERGY MANAGEMENT METHOD FOR PARALLEL-CONNECTED HOUSEHOLD HYBRID INVERTER SYSTEMS

Zhang Qi, Liu Yuqing, Yang Hui, Ren Biying, Sun Xiangdong

Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (8) : 395-404.

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (8) : 395-404. DOI: 10.19912/j.0254-0096.tynxb.2025-0524

INTELLIGENT ENERGY MANAGEMENT METHOD FOR PARALLEL-CONNECTED HOUSEHOLD HYBRID INVERTER SYSTEMS

  • Zhang Qi, Liu Yuqing, Yang Hui, Ren Biying, Sun Xiangdong
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Abstract

To address the issues of flexible capacity expansion, intelligent energy management and customer benefit optimization for residential PV-storage hybrid inverters in parallel operation mode, this paper proposes an energy management strategy based on mathematical programming methods. By targeting household energy storage battery capacity, photovoltaic installed capacity, inverter power rating, as well as electricity consumption data and price information, this method extracts supply and consumption characteristics, establishes a mathematical model for energy management of hybrid inverter systems, and employs mixed-integer linear programming (MILP) to solve the model, thereby providing dynamic planning references for energy management modes. The planning results demonstrate that this method can reduce users’electricity costs while maximizing the utilization of photovoltaic resources, and it is adaptable to scenarios with different battery configurations.

Key words

energy management systems / mixed-integer programming method / multi-objective optimization / hybrid inverter / CPLEX / efficiency coefficient method

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Zhang Qi, Liu Yuqing, Yang Hui, Ren Biying, Sun Xiangdong. INTELLIGENT ENERGY MANAGEMENT METHOD FOR PARALLEL-CONNECTED HOUSEHOLD HYBRID INVERTER SYSTEMS[J]. Acta Energiae Solaris Sinica. 2026, 47(8): 395-404 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0524

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