Abstract:

Abstract:The core value goal of energy reform in China is to improve energy system efficiency in all aspects. The connotation of energy system efficiency in the new era of energy reform is explained from six aspects such as energy economic efficiency, energy technical efficiency, energy carbon.free efficiency, energy harmless efficiency, energy security rate and energy intelligence rate. It is analyzed and pointed out that developing comprehensive energy service is the strategic pathway to promote energy system efficiency. Further more, the market opportunities of comprehensive energy service in the near and medium terms are explored emphatically.

Abstract:China is a large agricultural country, and there is a certain potential in the use of electricity or the production capacity of electricity in agriculture. The agricultural engineering energy Internet refers to the use or the production of electricity in existy agricultural projects on the basis of the energy Internet, which is the focus of current domestic and foreign industries and academic circles.The related concepts and background of agricultural engineering energy Internet is introduced, the development status of agricultural engineering energy Internet at home and abroad is sorted out, and the development trend of agricultural engineering energy Internet in the future is analyzed.The development of agricultural engineering energy Internet can not only reduce the current world’s dependence on fossil energy, but also save resources, protect the environment, and promote the further development of the world’s agriculture. As the concept of energy conservation and emission reduction is deeply rooted in the hearts of the people, the agricultural engineering energy Internet will surely flourish in the future.

Abstract:With the reform of the electricity market and the development of energy Internet technology, integrated energy system（IES）has been attracted important attention, and has the advantages of cleanness, high efficiency and high utilization rate of energy. Taking IES with multiple energy forms of industrial park as a study object, three alternative operation modes are proposed.Moreover, the influencing factors are analyzed, and the evaluation index system including economic, policy factors of user is proposed. The hierarchical structure model evaluation is established,and the optimal operation mode is selected according to the comprehensive weight through the analysis of the influence factors. Finally, taking the practical project of integrated energy system as an example, the comprehensive evaluation process of the operation mode is analyzed, which provides a reference for the development of IES in the industrial park.

Abstract:The output of distributed renewable energy fluctuates greatly and the electrical and thermal loads vary randomly in the combined heat and electricity system. A steady state energy flow model with uncertainties for the combined heat and electricity system is established. A low deviation point series through Sobol point series is constructed. Based on the quasimonte carlo simulation method, random variables are sampled, and the correlation between random variables is considered to solve the probabilistic energy flow of the combined heat and electricity system. The case shows that the proposed method has good convergence stability,which lays a foundation for the subsequent research on the safety analysis of the combined heat and electricity system.

Abstract:Accurate energy load prediction has a considerable impact on the economic scheduling and optimal operation of integrated energy system. Radial basis function neural network（RBF-NN）model is introduced to predict the short term electric, gas and heating loads of integrated energy system. Firstly, the Copula theory is used to analyze the correlation of electric, gas and heating loads,and the time series model of electric, gas, heating loads and temperature is established. Then, the structure of RBF-NN network is designed and K-means clustering algorithm is adopted to optimize the hidden layer nodes. Finally, the proposed model is verified by the practical data of an integrated energy system in a park in China.Through the comparison of three cases, it is verified that the method proposed in this paper can effectively consider the coupling relationship among electric, gas and heating loads, and improve the prediction accuracy.

Abstract:Aiming at the problem of optimal scheduling of buildings with high energy consumption and fast growth rate, a integrated energy system in buildings including photovoltaic power generation, cogeneration system, gas boiler and energy storage device is constructed. Modeling and analyzing various energy devices in the system, considering the demand response compensation price,taking the lowest building operating cost as the objective function, optimization scheduling model of integrated energy system in buildings based on demand response is established. The particle swarm optimization algorithm based on cloud model is used to solve the model optimization. A simulation is introduced to simulate. The two different modes of participation in demand response,and optimization performance of cloud model particle swarm optimization algorithm and basic particle swarm optimization algorithm are compared. The results show that the cloud model particle swarm optimization algorithm model based on demand response can effectively save the operating cost of the integrated energy system in buildings, and reduce the peak-to-valley difference of grid side load.

Abstract:How to use renewable energy and integrate new information technology to meet future social production needs has become an important research topic. On the basis of social economic development and urban planning and construction program, combined with changes in the energy complex system background, using the theory of complex adaptive system, and combining with the char-acteristics of the actual planning work,“three layers of two center”method of management system and planning is put forward. At the same time, take Suzhou city of science and technology as an example, from the top-level design of the underlying infrastructure building, system analysis and verify the effectiveness of the proposed system method, an effective solution is provided in order to meet the challenges of the urban energy change.

Abstract:There are various isolated islands in southeast Asia and Pacific area, performing totally different characteristics.As to the islands, some of which serve quantity key energy customer, the key principle of integrated energy system planning is to ensure the reliable supply in case of outage emergency. Other islands are talented in natural tourist-related resources, renewable utilizing should be regarded as the first factor. Different characteristics of islands are taken into consideration to come up with the more target flow chart of energy planning. With the application of bi?level modeling and study of energy efficiency optimization, solving method of renewable energy and storage is proposed. Finally, example of integrated and tourist-related isolated system is given to provide optimizing method in actual work.

Abstract:The integrated energy system contains a variety of distributed energy sources,each of which complement seach other,effectively improves energy utilization, and has significant advantages in terms of economy and environmental protection. As an important supplement to the integrated energy system, the combined cooling,heating and power system has the advantages of flexibility, reliability and high efficiency,and is now widely developed and valued.Considering the power generation characteristics of each micro-source and the demand of cold and heat load, a multi-objective cogeneration system model including fuel cell, micro-combustion engine, waste heat boiler, absorption chiller and energy storage device is established.The model considers the impact of time-of-use electricity price on micro-grid system. Taking economic cost and environmental cost as the objective function,a multi-target bee colony algorithm based on Pare-to theory is proposed as the model solving algorithm. The actual cooling and power supply system is used as an example to verify the effectiveness of the proposed model, and compared with the multi?objective particle swarm optimization algorithm. The results show that the multi?target bee colony algorithm based on Pareto theory can be more effective,and reduce economic and environmental costs.

Abstract:The transition from electricity suppliers to integrated energy suppliers is coming out in the background of the energy Internet. It was proposed that a sort of low-carbon operation mode for hierarchical integrated energy service provider which was composed of 2 stages. The first-class service provider dealt with low-carbon unit and grid scheduling and produced low-carbon and comprehensive energy consumption indexand delivered them to the sec-ond-class service provider. Based on the low carbon index of intergrated energy system, the hybrid energy supply mode at the end-user node was optimized. The analysis of low-carbon operation strategy was carried through by the rate of carbon reduction and integrated energy utilization of terminal users. Through the optimized simulation, it could be concluded that the addition of electric heat storage boilermakes for carbon emission reduction, while the gas boiler makes for improving the integrated energy utilization rate.

Abstract:Regional integrated energy system improves the economy and environment of energy supply viacollaborative optimal operation of power, gas, cold and heat energy systems. However, the coupling of multiple energy sources increases the complexity of system operation. Reasonable operation optimization method is the key point to ensure its economy. The structure of the regional integrated energy system that consists of multiple energy stations is analyzed. A practical model of the multi-energy station regional integrated energy system is established. On this basis, a collaborative optimal dispatching method for the regional integrated energy system with multiple energy stations is proposed, which aims at the economic operation of the system. The simulation results of a practical case show that collaborative optimal operation for multiple energy stations can significantly improve the overall economy of the regional integrated energy system.

Abstract:Firstly, the probability distribution characteristics of demand response resources are expounded. The IES（integrated energy system）operating cost is taken as the optimization goal and the power system, natural gas system operation constraints and energy coupling constraints are considered. The IES optimal energy flow（OFF）model is established, which is used as the input of the power system stability estimator to calculate the generator and coupling link power. Secondly, by setting up the transient simulation model under different load levels, the system stability under fault conditions is obtained. The training of power system stability estimator based on stack denoising auto-encoders（SDAE）is proposed. Finally, the IES comprised of the IEEE?39 node power system and the modified Belgian 20?node natural gas system is used to analyze the intelligent evaluation of power system stability. The simulation results show that the SDAE-based power system stability estimator has high recognition accuracy and excellent computational efficiency.

Abstract:Aiming at the prominent problems such as large energy consumption and weak energy management, taking the demon-stration project of comprehensive energy service of Shanghai University of Electric Power as an example, the solution of campus-oriented integrated energy service is put forward. Photovoltaic, wind power, photovoltaic integrated charging station, solar air source heat pump and hot water, hybrid energy storage and microgrid network operation control system, building group energy consumption management system and smart energy management-control platform are all constructed and operated, which satisfy the specific needs of customization of campus users, show the effectiveness of technology application, economic benefits and social benefits, establish foundation to build a smart, low-carbon and energy-saving campus, and provide demonstration and reference of comprehensive energy system construction for other universities and parks.

Abstract:Under the background of power system reform in the new era, China Southern Power Grid proposes to transform into smart grid operators, energy industry value chain integrator and energy ecosystem service providers, and build an open, cooperative and mutually beneficial energy ecosystem. The ecological development trend of integrated energy services under the energy ecology is focused on, and the methodology and architecture of how to build an integrated energy ecological platform is put forward. The policy environment for the formation of the ecological platform and the infrastructure needed for the platform are comprehensively analysised. Product thinking and service thinking are changed to platform thinking and platform-based enterprises.

Abstract:Guangdong Power Grid Co. has organized an urban-park two-level‘Internet+’smart energy pilot project supporting energy consumption revolution in Zhuhai to meet the opportunities and challenges of the development of the energy Internet. The application layer of the pilot project, which initially built Zhuhai integrated energy operation service application system, has realized multi-energy cooperation in Hengqin region, distributed resource management based on Internet concept and technology, demand response to market mechanism and intelligent energy service for the whole city. The project has accumulated valuable experience for the construction of energy Internet, and has formed a sustainable pilot and demonstration experience. Based on the project, three suggestions have been put forward: promoting the construction of power market, supporting and cultivating new market players, organizing and formulating the technical standard system for the construction of national or industrial energy Internet, which will contribute to the sustainable and healthy development of China’s energy Internet industry.

Abstract:With the further liberalization of power price control, enough attention should be paid to correctly dealing with the impact of market-oriented electricity price on the economy of integrated energy system. Taking a commercial complex in Beijing area as the research object, by analyzing the cold, heat and electric load characteristics of the energy consumption object, a suitable integrated energy system is put forward, and the physical and mathematical models are established. Combined with the current implementation of medium-and long-term power trading rules, the price signal formed by catalog price and market-oriented transaction price is used to evaluate the economy of the selected energy system. It is concluded that the implementation of an integrated energy system should fully take into account the regional energy supply structure and the possible market-oriented trading models and rules, and fully consider the possibility of large-scale fluctuations in the prices of final products or raw materials. The possible plan is put forward in the early stage of the design, minimize the ineffectiveness after the implementation of the integrated energy system.