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Key Technologies for Ubiquitous Power Internet of Things and Integrated Energy Systems
- Abstract：In order to fully consume clean energy and improve energy efficiency, the concept of integrated energy system was put foward. Compared with the traditional single-stage energy utilization, integrated energy system makes multi-level use of various forms of energy such as power, heat and cold and natural gas, and achieves the improvement of integrated energy utilization efficiency through multi-energy complementarity. However, due to the close coupling between the systems and the complex changes of energy flow, the integrated energy system is quite different from the traditional power grid in terms of optimal operation. The research status of optimal operation of integrated energy system was comprehensively sorted out. Firstly, the composition of integrated energy system was introduced. The research status of power, heat and natural gas network power flow models was summarized and analyzed. Secondly, the optimal operation methods were classified and summarized, and the advantages, disadvantages and difficulties of existing methods were analyzed. Finally, the future research direction of the integrated energy system was pointed out.Keywords：integrated energy system;electricity-gas;electricity-heat;optimal operation;research status91|1770|0<HTML><L-PDF> <Meta-XML>Updated：2025-07-04
- Abstract：For high-ratio renewable energy access to the grid, the utilization of wind-solar-hydro complementary power generation can provide a smooth and stable power supply. This paper proposed a short-term optimal operation method based on stochastic programming for the windsolar-hydro multi-energy power system, using big data and artificial intelligence technology. Firstly, based on the variational autoencoder (VAE), a renewable energy scenarios generation method was proposed, which can generate diverse scenarios that meet the characteristics of renewable energy output and accurately describe the correlation of renewable energy output. Secondly, based on the scenarios method, a short-term optimization operation model of wind-solar-hydro was established and a piecewise linearization method was used to transform various nonlinear constraints into linear constraints, which can achieve fast solution while ensuring the accuracy of the model. Finally, through the simulation of the wind-solarhydro power system in downstream of the Yalong River, it demonstrates the effectiveness of the intelligent optimization operation strategy proposed in this paper.Keywords：power system;complementation of windsolar-hydro;scenarios generation;variational autoencoder;optimal operation50|67|0<HTML><L-PDF> <Meta-XML>Updated：2025-07-04
- Abstract：The integrated energy system (IES) is based on multi-energy complementarity and energy ladder utilization, which will greatly improve the energy utilization of the system and achieve multiple energy flow complementary optimization. A cold-thermal-electric IES was established. The objective function is the lowest total operating cost of the system. Considering the constraints of equipment model and power balance, the daily load is used to simulate the economic optimal operation of the comprehensive energy system. Considering that the operating conditions of the system vary greatly in winter and summer, the operation mode is adjusted by the seasons, and the branch and bound (B-a-B) was used to solve the optimization model. The simulation results show that the system energy supply balance, "source-load-storage" complementary collocation, the system is flexible, economical and efficient, and at the same time, the system emits less pollutant gas, which is conducive to environmental protection.Keywords：integrated energy system (IES);multi-energy complementarity;source-load-storage;optimal operation;different seasonal adjusts;branch and bound64|314|0<HTML><L-PDF> <Meta-XML>Updated：2025-07-04
- Abstract：A coordination strategy was proposed to smooth the tie-line power fluctuation of the combined heating and power integrated energy system (CMPIES) by using the virtual energy storage system. The structure and energy coupling mode of the CMPIES were analyzed. The controllable devices in CMPIES include micro-gas turbines, heat pumps, batteries and super capacitors. Virtual energy storage system is a thermal model based on utilizing the heat storage characteristics of building. Considering the controllable devices and the virtual energy storage system state index, weighted moving average filtering algorithm was used to optimize the tie-line reference power. The coordination strategy designs state map table to regulate the filter time constant based on the operation state of the controllable devices. The output of controllable devices is adjusted by the correction factor calculated by the state map table. The proposed strategy was validated by the field data from Green Energy University Laboratory in China. The simulation shows the strategy realizes the coupling and coordination between power and heat, ensures the power fluctuation smoothing effect and enhance the CMPIES control flexibility. At the same time, the comfort of the customers participating in the CMPIES can be maintained. The coordination strategy is able to enhance the penetration and consummation of distribution renewable energies and prolong the controllable devices' life.Keywords：combined heating and power integrated energy system(CMPIES);distributed energy resources;virtual energy storage;power fluctuation suppression34|243|0<HTML><L-PDF> <Meta-XML>Updated：2025-07-04
- Abstract：Advanced adiabatic compressed air energy storage (AA-CAES) is a clean large-scale physical energy storage technology. Compared with other energy storage technologies, AA-CAES can supply and store multi-carrier energy, which makes it have abroad prospective in the application in micro integrated energy system. Considering the multi-carrier energy generation characteristic of AA-CAES power plant, the optimal dispatch strategy of micro integrated energy system with AA-CAES power plant was studied. The basic composition of the micro integrated energy system with AA-CAES power plant was introduced. Based on the actual thermodynamic process of the AA-CAES power plant, a combined dispatch model of multi-carrier energy flow of cooling, heating and power was established. On this basis, the optimal dispatch model of micro integrated energy system with AA-CAES power plant was established to minimize the operating cost of the system. In the end, based on the operation data of Sino-Singapore ecologic town in Tianjin, the simulation test was carried out for model validation.Keywords：micro integrated energy system;advanced adiabatic compressed air energy storage (AA-CAES);multi-carrier energy;optimal dispatch40|356|0<HTML><L-PDF> <Meta-XML>Updated：2025-07-04
- Abstract：One important aspect of ubiquitous power internet of things (UPIoT) construction is to realize the access of more terminal small and micro devices, make the data acquisition more massive and diversified, and realize the deep integration of data flow and energy flow, while the integrated energy system (IES) is an important value realization form of UPIoT. The IES planning for the UPIoT was studied, from the principles to be followed in the IES planning, the basic model method in the system planning and design, to the comprehensive benefit evaluation system of IES, and a complete set of IES planning system methods was put forward, aiming to provide theoretical support for the construction and implementation of the IES in China.Keywords：ubiquitous power internet of things (UPIoT);integrated energy system (IES);comprehensive benefit evaluation;planning;model47|301|0<HTML><L-PDF> <Meta-XML>Updated：2025-07-04
- Abstract：In order to solve the risk problem brought by uncertainties of supply and demand in integrated energy system (IES), an optimal dispatch model of IES with energy storage considering operational risk was proposed. In the objective function, the cost of equipment adjustment, penalty for loss of load and penalty for curtailment of wind and solar power was used to quantify the operational risk of the IES. In the constraints, the time-scale differences between electric energy and thermal energy were distinguished, and the multi-period coupling constraints of energy storage were established considering the time coupling of energy storage. Then an algorithm based on Benders decomposition was proposed to solve the problem. Finally, an example was given to analyze the influence of confidence level, energy storage power and capacity on IES operation cost and operational risk.Keywords：integrated energy system (IES);energy storage;uncertainty;risk cost;optimal dispatch42|694|0<HTML><L-PDF> <Meta-XML>Updated：2025-07-04
- Abstract：Combined cooling, heating and power (CCHP) microgrid can not only provide a good platform for the development and utilization of clean energy, but also greatly improve the efficiency of energy use, and can improve the quality of power supply and reduce the network loss of the system. In order to make the economic calculation of CCHP microgrid more in line with the actual operation conditions, this paper considered adding battery life to the economic calculation model. The multi-objective optimization model of CCHP microgrid was established considering the power generation cost and the cleanness of microgrid. The multi-objective optimization model was transformed into a single-objective optimization model by the principle of maximum satisfaction. The improved genetic algorithm was used to optimize the output of each micro-source in a day. The effects of multi-objective optimization and single-objective optimization on the output of micro-sources in the CCHP microgrid were compared and analyzed by numerical examples. The simulation results show that the multi-objective optimization model can simultaneously take into account the economic and cleanness of CCHP microgrid, and it is closer to the actual operating conditions of CCHP microgrid.Keywords：combined cooling, heating and power (CCHP) generation system;microgrid;economical operation;improved genetic algorithm;multi-objective optimization;energy storage;storage battery life35|161|0<HTML><L-PDF> <Meta-XML>Updated：2025-07-04
- Abstract：The joint operation of the energy storage system and the wind farm can not only track the wind power schedule output, but also participate in ancillary service of the power grid. In order to maximize the total profit of the optimization of wind storage joint operation, the optimal model of wind storage joint operation was established considering the wind energy storage system tracking wind power schedule output and participating in the secondary frequency modulation service of the power grid. The model took into account the energy storage life loss under different state of charge, and the up-frequency modulation power and down-frequency modulation power balance when energy storage participated in frequency modulation. Based on the actual wind farm operation data, an example was designed and the simulation was carried out. The results show that considering the energy storage life loss level not only measure the benefits of energy storage participating in various services, but also give full play to the role of energy storage and improve the benefits of wind storage joint operation.Keywords：energy storage system;wind power generator;tracking wind power schedule output;secondary frequency regulation56|412|0<HTML><L-PDF> <Meta-XML>Updated：2025-07-04
- Abstract：Geothermal resources are abundant and widely distributed in China. With the emergence of energy shortage and environmental deterioration, geothermal energy, as a renewable and clean energy source, has been widely focused and used in power generation to reduce the emission of pollutants, mitigate the greenhouse effect caused by fossil fuels such as coal and realize the optimization of energy structure. This paper introduced the working principle of geothermal steam power generation technology, geothermal hydropower generation technology, dry heat rock power generation technology and magma power generation technology, and compared them in terms of scope of application, power generation efficiency, power generation cost, advantages and disadvantages, etc. In addition, joint power generation technology with solar power and biomass power was suggested, the problems of geothermal power generation were points out, in order to provide a theoretical basis for the practical application of geothermal energy in China and even in the world.Keywords：geothermal power generation;solar energy;biomass energy;joint power generation78|369|0<HTML><L-PDF> <Meta-XML>Updated：2025-07-04
- Abstract：The construction of ubiquitous power internet of things (UPIoT) is mainly to apply new technologies and ideas such as information technology and artificial intelligence to the development process of enterprises in order to improve technological level of power enterprises. At the same time, it also serves the national strategic needs and conforms to the strategic requirements of promoting the deep integration of internet, big data, artificial intelligence and manufacturing industry. It is of great significance for promoting China's scientific and technological progress, industrial upgrading and improving people's living standards. The background, construction goals and significance of UPIoT was Introduced. Technical support of UPIoT construction was analyzed. The attitudes and corresponding measures of some communities towards UPIoT was discussed. The typical application of UPIoT at present was illustrated, and finally the possible problems in the development process of UPIoT were analyzed.Keywords：ubiquitous power internet of things (UPIoT);internet of things;energy internet;three types and two nets;virtual power plant45|519|0<HTML><L-PDF> <Meta-XML>Updated：2025-07-04
- Abstract：In order to achieve load control, the traditional demand response mainly uses the peak-adjusting strategy of the power-limiting for residents, and the power consumption is more passive. The concept of ubiquitous power internet of things makes it possible to convert controllable loads into intelligent loads. In order to realize the intelligentization of controllable load control, the application of ubiquitous power internet of things in the controllable load control of household appliances was studied. Increasing the valley-filling function in the smart household appliance control algorithm not only achieved peak-cutting of the power grid during peak periods of power consumption, but also effectively utilized idle capacity during periods of low-power consumption. It also allowed users to set the load demand range and important coefficients of household appliances at different time in advance, which satisfied the user's comfort needs to the greatest extent. The simulation results verified the rationality of the improved control algorithm for intelligent household appliances.Keywords：ubiquitous power internet of things;controllable load;intelligent load;control algorithm of intelligent household appliances;important coefficient of household appliances23|162|0<HTML><L-PDF> <Meta-XML>Updated：2025-07-04
Key Technologies for Ubiquitous Power Internet of Things and Integrated
