Research on complementarity of multi-energy power systems:A review

In the background of the large-scale development and utilization of renewable energy,the joint operation of a variety of heterogeneous energy sources has become an inevitable development trend.However,the physical characteristics of different power sources and the inherent uncertainties of renewable energy power generation have brought difficulties to the planning,operation and control of power systems.For now,the utilization of multi-energy complementarity to promote energy transformation and improve the consumption of renewable energy has become a common understanding among researchers and the engineering community.This paper makes a review of the research on complementarity of new energy high proportion multi-energy systems from uncertainty modeling,complementary characteristics,planning and operation.We summarize the characteristics of the existing research and provide a reference for the further work.

Multi-point Layout Planning for Multi-energy Power System Based on Complex Adaptive System Theory

Aiming at the problem of multi-point layout planning of a multi-energy power system,the output characteristics of a multi-energy power system composed of wind power generation,photovoltaic power generation,hydropower generation,traditional thermal power generation and solar thermal power generation are comprehensively analyzed.Combining power optimization planning with complex adaptive system theory,a multi-point layout planning model of multi-energy sources based on complex adaptive system theory is proposed.The model takes the minimum construction step size of each new energy source as the agent.Through the interaction between the agents and the accumulation of experience,the behavior rules are constantly changed,the installed positions of various types of power sources are adjusted,and the optimal layout scheme of various power capacities of each node is obtained.Moreover,an agent modeling method based on a simple rule emerging complex phenomena is proposed,which reveals the core idea of complex adaptive system theory—adaptability makes complexity.Taking an actual power grid in a certain region of China as an example,it is verified that the proposed method has a significant effect on improving the consumption of new energy,and has certain guiding significance for the actual engineering construction.

Comprehensive evaluation and analysis of a nearly zero-energy building heating system using a multi-source heat pump in severe cold region

The integrated application of multi-energy coupled technology in nearly zero-energy building(NZEB)is promising from the perspective of low-carbon development to achieve the goal of net zero energy.PVT(photovoltaic/thermal),air,and ground sources were combined organically to establish an experimental platform of a multi-source heat pump(MSHP)system,which can realize flexible switching of multi-energy sources.The paper presents the analytical hierarchy process and fuzzy comprehensive evaluation method to comprehensively evaluate the five modes of the MSHP system with regard to energy,economic and environmental benefits.The results indicate that the waste heat of the PVT cavity can improve the coefficient of performance of the heat pump unit(COP)by approximately 8.0%.The initial investment in air source heat pump(ASHP)modes is lower than that of a coal-powered system.The ground source heat pump(GSHP)modes have high stability and their payback period is 8.81–10.66 years.The photovoltaic/thermal-dual source heat pump(PVT-DSHP)mode presents the most appropriate system applied in the NZEB in severe cold region,followed by the DSHP,GSHP,ASHP,and PVT-ASHP mode.When compared with other modes,COP,annual saving cost,carbon dioxide emission reduction,and comprehensive value of the PVT-DSHP mode have improved by 7.07%–29.57%,2.21%–23.88%,3.38%–14.83%,and 27.91%–52.62%,respectively.The study provides important insights into the practical application and sustainable development of multi-energy coupled systems in the NZEB in severe cold region.