Abstract:As an important physical carrier of energy Internet, regional energy Internet is of great significance to improve regional clean energy consumption level, comprehensive energy efficiency level and energy security level. Starting from the connotation and characteristics of regional energy Internet, the boundary and system framework of regional energy Internet are summarized.By combing the construction cases of regional energy Internet, the typical experience of different types of regional energy Internet construction is summarized, including provincial level, city level, terminal level. The development mode of regional energy Internet is expounded from multiple dimensions. The construction scheme of regional energy Internet is put forward, forming diversified solutions at macro level. A reference for the planning, design and construction of regional energy Internet under the complicated situation is provided.

Abstract:In order to deal with the energy structure conversion and the over-voltage problem caused by the energy structure transformation and the high proportion of new energy access to the distribution network, the cluster division and voltage control method for this kind of distribution network are proposed. By optimizing the active power and reactive power of the new energy source, the optimal active power reduction and reactive voltage compensation are realized.A cluster performance index based on electrical distance and cluster voltage regulation ability is proposed. Based on this, the distribution network is divided into clusters, and the cluster voltage optimization control strategy is proposed, which combines the autonomous optimization within the cluster with the coordinated optimization between clusters. The correctness and feasibility of cluster partition and voltage control scheme are verified by simulation.

Abstract:Aiming at the typical problems of low voltage distribution network, such as low status perception level and insufficient data sharing and mining, the project construction content of energy Internet demonstration platform area is combined, and technological breakthroughs are maked through applications in two aspects of“information support”and“value creation”with the construction concept of energy Internet. Firstly, the complete topological information of transformer, line, household, phase, electrical impedance of the station area is constructed based on the longitudinal and transverse conduction characteristics of user load characteristics and fault characteristics in the low-voltage power network, which greatly simplifies the acquisition framework and completes the full state accurate perception of the low -voltage area, so as to realize the efficient utilization of the information perception by high-speed power line carrier. At the same time, the framework of digital business support capability is proposed to explore the typical business scenarios of the energy Internet demonstration area in three aspects of power grid digital management, user digital service and government digital governance driven by data. Through the demonstration application of11 communities in Nanjing, the accuracy of topology identification can reach 100%, and the accuracy of impedance calculation is greater than 90%. At the same time, 603 households in the pilot have completed data mining and sharing.

Abstract:Israel is a country with a small land area and barren land in the Middle East. It is also a country with developed agriculture in the world. Behind Israel’s developed agriculture, energy such as electricity plays a vital role in the development of Israeli agriculture. With the development of Chinese energy Internet, the introduction of special facility agricultural loads into the energy Internet and the study of its energy use characteristics have become the focus in the academic community. Based on the construction of the agricultural energy Internet in China, energy consumption characteristics and energy dependence of Israeli electricity desalination irrigation technology, electricity sewage treatment irrigation technology, photovoltaic brackish water desalination irrigation technology, power drip irrigation technology, vertical agriculture and other technologies have been introduced. Finally, a targeted analysis of the scenarios where these agricultural electrification technologies are suitable for popularization and application in China is conducted, and the enlightenment for the construction of the agricultural energy Internet in the parks in China is obtained.

Abstract:Aiming at the characteristics of new business and scientific innovation park’s integrated energy system, such as small scale, close to the user side, diverse source loads and flexible operation, a cloud software platform is researched and developed for the planning and analysis of the integrated energy system,so as to coordinate and optimize the allocation of energy resources inside and outside the park, meet the existing and potential energy needs in the park, and accelerate the implementation of integrated energy services. Based on the analysis of resource endowment,load demand and policy arrangement of Nantong central innovation zone, three energy station planning schemes of steam-electricity, gas-electricity and electricity-double storage are customized for Nantong central innovation zone relying on the software platform,and the optimal energy station configuration scheme is provided for the future planning of the area and the feasibility business model is analyzed.

Abstract:Integrated energy system (IES) has become the main development trend of current energy utilization mode with its unique economic, environmental and energy - saving advantages.However, the development of IES is inseparable from the theoretical support of integrated energy simulation system. At present, there are only kinds of mature commercial simulation software for a single energy network on the market. However, the standardized software supporting the joint calculation and analysis of multi - energy flows in IES has not been developed effectively. Regarding the above points,based on the comprehensive model library of integrated energy equipment and networks with the multi- energy of electricity, gas,cooling, heating and steam, B/S structure is applied to build an element-oriented integrated energy online simulation system using Java and Python. The proposed simulation system supports the steady/dynamic simulation of multi - energy flows in energy networks, and can realize the parallel calculation with a high efficiency. Results of the case study simulated in the normal state and fault state are consistent with the theoretical analyses of the operation of networks and equipment, proving that the software system built can be used forthe verification of the operational feasibility of IES planning scheme and realizes the simulation of multi-energy flows under multiple operational states effectively. It has powerful functions and is of practical application value.

Abstract:The port is a key energy consumption area of the transportation industry. How to improve energy efficiency, reduce environmental pollution, and achieve comprehensive energy management are topics of common concern. The design of the integrated energy is used to achieve the optimal energy efficiency in the port area and improve the utilization of energy infrastructure. Based on the analysis of the integrated energy system and load system in the portarea, the multi-agent system and colored Petri net theory are used to establish an optimal dispatching model for the integrated energy system. According to the electricity load, the energy supply sequence of the comprehensive energy is reasonably allocated, and the clean energy is used to the greatest extent. Feasibility and effectiveness of the optimized scheduling model are verified by examples. The research result is of great significance for improving the efficiency and economic benefits of integrated energy in the port area.

Abstract:As the basis of energy Internet, integrated energy system is an important technology to improve energy utilization and renewable energy consumption. By guiding users to change their habits and ways of energy consumption, demand response has been paid more and more attention to optimize the load distribution and improve the economy of system operation. Based on the refined modeling of the comprehensive demand response on the user demand side, a refined model considering the reducible load, translatable load, transferable load and replaceable load is established with the total operation cost of the integrated energy system as the lowest. The day-ahead optimal scheduling of the integrated energy system considering the comprehensive demand response is proposed. The case study shows that the comprehensive demand response can optimize the load curve of the park and improve the energy utilization and the economy of the system operation.

Abstract:Micro grid is an important puzzle of the energy Internet. As the brain of the integrated energy station, the coordination controller assumes the pivotal role of control and command.Firstly, in order to verify the performance of the coordinated controller of the micro grid, the typical elements and networking schemes of the micro grid are firstly introduced. Secondly, microgrid simulation system containing all elements is built based on the RTDS real-time simulation platform. Next, the communication networking scheme between the coordinated controller and the RTDS is designed. Finally, simulation tests are carried out based on the closed loop test system, including one - button start - stop test, frequency modulation test, and backup power supply test. The simulation results verify the functions of the coordinated controller, and can provide a solid guarantee for the subsequent application of the coordinated controller on the project site.

Abstract:The centralized disposal of biomass in agricultural parks has advantages such as convenience, economy and flexibility of scale. Biomass power generation is the core of the energy systemin agricultural park, but excess power capacity or seasonal changes will lead to wasted resources. Based on the analysis of the research on biomass pyrolysis for biochar and the shortcomings of by-product treatment, it is proposed that biomass combustion for power generation, combustion for heat supply and biomass pyrolysis for biochar should be coupled with agriculture and energy system to form a biomass energy co-generation system. The biomass combustion for power generation can supply power for power grid, agricultural facilities and users. The biomass combustion for heat supply can ensure the heating demand of agricultural facilities and temperature greenhouses in winter. The biomass pyrolysis for biochar can ensure demands of the biomass growth and environmental governance in the agricultural parks. This system is conducive to improve the construction of energy Internet in agricultural parks and realize the aim of“carbon neutral”.

Abstract:The participation of a large number of distributed loads in frequency control can improve power system security, but the conventional centralized control needs costly high -speed communication channels and the distributed methods lack sufficient global accuracy. To address the above problem, the cyber-physical design of an IoT-enabled system,“Grid Sense”is presented, and it features a local power loss estimation approach for frequency emergency control based on coordinated edge intelligence. Based on the design, smart outlets of Grid Sense detect the frequency disturbance event locally using the parameters sent from the control center to estimate active power loss in the system, and to make rapid and accurate switching decisions soon after a severe contingency.Numerical simulations and hardware experiments are conducted,and it is shown that Grid Sense can accurately and rapidly prevent the drop of frequency after a major power loss with great speed, accuracy and robustness.

Abstract:With the increase of electric vehicles, it’s necessary to continuously improve the energy optimization management strategies in order to give full play to the potential of electric vehicles and achieve the goal of low - carbon economic power supply.The forecasting energy optimization management problem is studied for the electric vehicle charge-exchange-storage integrated pow-er station. Firstly, the Monte Carlo algorithm is used to predict the loads of electric vehicles based on the analysis of the characteristics of the electric vehicle travel chain. Then, aiming at the virtual power plant composed of the electric vehicle charge-exchange-storage integrated power station, interruptible load and distributed power station, a comprehensive objective function using the improved particle swarm optimization algorithm is built to optimize the virtual power station to minimize the operation cost and maximize the economic benefit. In order to determine the optimal charging and discharging power of the electric vehicle charging and storage integrated power station, the coordinated optimal scheduling of exchange power of electrical vehicle, storage and load is carried out. Finally, the distributed energy optimization strategy is applied to an industrial park, and the simulation results verify the effectiveness of the strategy.

Abstract:With the increasing penetration of renewable energy and power electronics-based devices, and the hybrid operation of AC/DC power networks with heavy power transfer, the dynamics,stochastics and uncertainties of the power grid are being observed,threatening its secure operation. In order to effectively resolve security issues caused by fast variations of voltage and line flows, a reinforcement learning algorithm based on maximum entropy depth ispresented for providing online decision support in smart grid operation, which can simultaneously consider multiple control objectives.This method formulates decision derivation for grid operation as Markov decision process, which trains multi-threaded soft actor-critic and uses periodic online training mechanism to continuously improve its control performance. The developed prototype using this method has been deployed in the control center of SGCC Jiangsu electric power company, which interacts with live energy management system and learns its control policy adaptively. The well -trained agent can provide effective control actions within milliseconds to regulate voltage violation, line flow and losses.

Abstract:Large scale renewable energy and electric vehicles are connected to the micro grid. Due to the fluctuation of renewable energy output and the disorderly charging and discharging behavior of electric vehicles, the wind and light electricity are seriously abandoned in the micro grid, which also brings challenges to the economic dispatching of the micro grid. Based on the traditional peak-valley electricity price and combined with the power difference between renewable energy output and equivalent load, the economic dispatching strategy of grid - connected micro - grid containing electric vehicles is proposed. Firstly, the scheduling characteristics of micro grid are analyzed. Then, the scheduling priority of micro grid is analyzed in combination with renewable energy and load power level of micro grid. With micro network operation costminimum and maximum given photovoltaic, the purpose of building virtual of the objective function is minimum cost optimization model. Finally, the improved particle swarm algorithm is used to solve the case. The case is studied under three different pricing mechanisms of dynamic virtual price、traditional peak valley price and real -time electricity price micro network. The effectiveness of the proposed method is verified by comparing the photovoltaic utilization rate, load peak valley difference and operation cost of microgrid in one dispatching cycle under three pricing methods.

Abstract:In order to promote the development of electricity marketization, improve the level of electricity retail marketization,and realize the friendly consumption of user - side distributed newenergy access, blockchain technology is combined to propose away to realize decentralized electricity retail quantitative model of transactions. Through modeling the structure, mechanism, modeand benefit evaluation of retail transactions among community pow-er users, a balanced clearing model for decentralized power retailtransactions is established. Finally, the example is used to verifythe feasibility of the model proposed and the potential to promotemarket-oriented development. It is verified that decentralized pow-er retail transactions based on blockchain technology can reducebuyers’fees, increase sellers’revenue, reduce reserve, improvesocial benefits and improve the role of user satisfaction with electricity. An alternative way to start the distributed power retail trans-actions of the open distribution network power market is provided.

Abstract:Virtual power plants can effectively aggregate all kinds of adjustable resources, such as load -side distributed power generation, energy storage and adjustable load and so on. Firstly,the trading rules of Jiangsu electric power market in which the users’adjustable load participates in the ancillary service market is analyzed. It also discusses the market environment of Jiangsu virtual power plant participation in auxiliary services from three aspects: service provider, fee payer and participation mode, and establishes the main auxiliary joint venture model based on demand response virtual power plant by analyzing the auxiliary service market mechanism under the independent and joint market model. Secondly, the access specification and implementation process for virtual power plant to participate in market operation are put forward,and for the purpose of efficient scheduling, the 2 -level aggregate management and design specification of virtual power plant and virtual unit is proposed.

Abstract:Small and medium-sized power users are potential demand response resources with small single load capacity but large amount and strong power flexibility. A demand response system solution based on blockchain technology is designed, innovating the operation mode of demand response aggregator, and providing a feasible path for small and medium-sized users to participatein demand response events, so as to promote the development of demand response enterprise in the future. The scheme uses the block-chain technology to realize the depository and settlement services of demand response transaction data, to ensure that the demand response transaction data between aggregators and users cannot be tampered with, and the transaction process can be tracked, so as to improve the efficiency and credibility of evaluation and settlement.