Abstract:

Abstract:With the constantly increasing penetration of distributed generation, some problems such as the low comprehensive operation efficiency of the power system concerned, insufficient coordination among the so-called“source-network-load-storage”, and inadequate complementarity among various types of generators are becoming more and more significant. Implementing hierarchical partition balance of“source - network -load - storage”could address these problems.Under this background, according to the operation rules of a grid- connected microgrid, a diversified power demand block analysis method and a“source-network-load-storage”hierarchical partition balance model are presented, and related optimal design of the distribution network concerned addressed. The proposed method has been employed for actual distribution system planning, and the implementation results demonstrate that this method can effectively reduce the maximum load demand, improve the load profile of the whole system and the load rates of lines, reduce the scale of required network investment, realize coordinated development of“source - network - load- storage”, and finally improve the security and economics of the distribution system.

Abstract:In order to meet the increasing energy demand of ports and decrease the environment pollution in port areas, the mode of port energy supply has gradually transformed from the traditional mode of oil and coal-fired power supply to integrated energy supply including cooling, heating, electric power and natural gas.The development of the shore-to-ship power supply system and infrastructure electrification has furtherly increased the demand for electricity. An optimal operation method of port integrated energy system（PIES）considering integrated demand response（IDR）is proposed. A multi-energy coupling conversion model of PIES based on energy hub is built by analyzing the coupling connection of energy conversion among equipment in PIES, and an IDR model of port is established based on the classification of port loads. On this basis,comprehensively considering the impact of energy prices, environment pollution, energy loss and other factors on the operation of PIES, an optimal operation model of PIES considering IDR is constructed. The proposed method is applied to a PIES, and the simulation results show that this method can effectively reduce the total operation cost of PIES and effectively reduce the peak demand of electric power load.

Abstract:In order to promote the multi-energy coordination and mutual assistance of the integrated energy system（IES）and improve energy efficiency, taking the electricity-heat -gas（EHG）-IES as the research object, a multi-objective collaborative optimization integrated demand response（IDR）model and operation strategy solving algorithm are proposed. Firstly, EHG- IES architecture with IDR is designed, and the energy coupling matrix is used to describe the multi - energy conversion relationship in interconnected system. Under the time -sharing energy price mechanism, a multi energy coordinated IDR mathematical model with mixed time or space is constructed. Then, with the goal to minimize system energy cost, environmental cost, abandoning wind and optical power,an optimal dispatch model of environmental economy is constructed. The Co -NSGA -Ⅱ is used to solve this model. The simulation results show that the proposed model and optimal operation strategy can effectively promote the energy coordination ability and comprehensive demand response ability among multi-energy systems.

Abstract:In order to reduce the energy bill of industrial park and improve its economic gains, an industrial park demand management approach considering the integrated demand response of combined heat and power units and thermal storage is proposed.Combined heat and power units can reduce not only the peak demand charge but also the energy charge under the two -part tariff policy by increasing their electricity outputs in peak-load periods.The thermal storage can efficiently utilize the waste heat provided by combined heat and power units and furtherly increase the flexibility of combined heat and power units. Numerical case studies validate the effectiveness of our proposed industrial park demand management method, demonstrating a significant reduction of thepeak demand charge through the integrated demand response of combined heat and power units and thermal storage.

Abstract:Flexible optimization of reconfiguration operation is one of the main features in smart distribution systems. As the multi-carrier energy coupling growing, the integrated energy transformation components, such as energy hub, gains increasing concerns. The research is still needed on how to optimize the topology reconfiguration considering integrated demand response such that more flexibility and economics could be achieved. A topology reconfiguration optimization and solution methodology model is presented in distribution systems considering integrated energy demand response. The traditional demand response in power users are extended to multi-energy users. The distribution topology reconfiguration is optimized coordinately with the integrated demand response to realize the global optimum of distribution systems and all users. The case studies verify the effectiveness of the proposed model and algorithm.

Abstract:Customer-side integrated energy system (C-IES) is an important direction of energy consumption in the future. The optimization of C-IES operation can improve the economic and environmental benefits. For this purpose, an energy transaction model for C- IES composed of multiple distributed energy stations (DES)and energy users (EU) is established, and distributed game equilibrium strategy for C- IES based on demand response is proposed.DESs aim to maximize their respective benefits, while EUs aim to maximize their respective utility. Firstly, the initial problem is decomposed into the demand response optimization problem of multiple subsystems through dual decomposition. Then distributed solution is implemented for the demand response optimization problem of each subsystem. The main advantage of this method is that the two sides of the energy transaction do not need a central controller or any third party, and the privacy of DESs and EUs is guaranteed.Finally, the effectiveness of the proposed distributed game equilibrium strategy is verified by a numerical example.

Abstract:In view of the demand response (DR) is a key factor that affects the comprehensive economics of the power system time series production model. From the perspective of power system production simulation, the load is divided into residential load and industrial load, and their respective roles and values in demand response are analyzed. Based on the current demand response subsidy policies formulated by some provinces in China, the optimal proportioning method of industrial load and residential load in demand response is established. Taking the long -term target year of a province in eastern China as a scenario, a time-series production simulation of the province’s power system is conducted with the goal of economy. The results show that the proposed method can effectively reduce the subsidy cost of demand response,which provides a powerful analysis tool to The operation simulation problem of the power system with DR.

Abstract:In the power market, the investment and operation of load aggregator are facing uncertainty on both sides of electricity prices and consumers’demand response behavior. Based on the conditional value at risk, with profit maximization and risk minimization as the planning goals, a demand response resources’planning model for load aggregators is established. In the proposed model，historical simulation method is used to deal with the uncertainty from market electricity price, and random simulation method is used to describe uncertainty consumers’demand response behavior. Through simulating the optimal planning of investors under different risk appetite levels, the example analyzes the equilibrium relationship between the investment profit and investment risk of load aggregators, which provides a useful reference for the development of domestic load aggregators.

Abstract:The development of smart grid improves the em- phasis on family load forecasting. Based on the theory of state transition, a Monte Carlo Markov Chain load forecasting model of single equipment based on the selection of similar days is proposed,and the bottom - up analysis method to obtain the comprehensive load level of a single family is used. For the temperature control equipment, Pearson correlation coefficient is used to study the correlation between the ambient temperature and the operation cycle of the equipment, and the hidden Markov model is used to predict the operation state of the compressor of the temperature control equipment according to the external environment information of the day. With the operation state predicted, the average power in different time periods is calculated to reflect the user load level.The simulation results show that the predicted error of the Monte Carlo Markov chain model based on the similar day selection is about 2% ~8% for the daily load expectation of different equipment, while the predicted accuracy of the hidden Markov model for the temperature control equipment is about 70%.

Abstract:In order to promote the self-supplied power plant to participate in the interaction of power grid, a flexible adjustment evaluation method based on the production characteristics of enterprises is proposed. According to the different power consumption of each link in the production process of the enterprise, the production characteristic matrix representing the power circulation relationship is constructed. On this basis, the flexibility of the power consumption system of the self -supplied power plant is analyzed.Equivalent to the power generation and power consumption system of the captive power plant as a whole, two kinds of flexibility evaluation indexes are put forward, including minute level and hour level. Taking the lowest power cost as the goal to solve the optimal unit output and load arrangement, the flexibility adjustment ability of the self -supplied power plant is evaluated. The results present that the method gives the quantitative evaluation results of self-sup-plied power plant regulation capacity, which provides reference for promoting self-supplied power plant and its affiliated enterprises to participate in grid interaction, as well as promotes new energy consumption.

Abstract:In order to consider the environmental cost generated by the operation of the combined cooling, heating and power integrated energy microgrid and analyze the impact of the capacity of the energy storage device on the operating cost of the system, an optimized operation model of the combined cooling, heating and power integrated energy microgrid including environmental costs and energy storage devices is established. With the minimum total system cost as the goal, the mixed integer programming method is used to solve the problem in Cplex, and the operating cost of the corresponding traditional distribution system is compared to verify the validity of the model. The operating costs of the combined cooling, heating and power system under different electricity price modes and the impact of different capacities of energy storage devices on the operating costs of the system are analyzed. It’s concluded that the operating cost of system is the smallest under the real time electricity price mode, and the operating cost of the system increases frist and then decreases with the increase of the capacity of the energy storage device.

Abstract:Promoting clean energy consumption with virtual power plant technology is an important part of the construction of ubiquitous electric Internet of Things. Firstly, the concept of virtual power plant is introduced, then the definition, structure, classification, consensus mechanism, and smart contract of blockchain technology are described, and the feasibility of applying blockchain technology to virtual power plants is analyzed. Thirdly, the virtual power plant commercial operation structure and power transaction mode based on blockchain technology are established. The virtual power plant energy certification and certificate transaction mode based on blockchain technology is designed. Then, the application of blockchain in virtual power plant is illustrated. Finally,the development proposal of virtual power plant based on blockchain technology is given.

Abstract:With the advent of the era of big data in power,higher requirements have been placed on the accuracy of power load forecasting. Accurate power load forecasting is of great significance for the safe and stable operation of power systems and reducing costs. Aiming at the characteristics of short term power load showing different load operation rules in different time periods, the similarity of load behavior in different time periods is calculated in the daily range. Based on the consideration of the weather dimension and the time dimension, the behavior dimension is added. The behavior similarity factors of different time periods are introduced into the long short term memory network model, and the future load data is predicted based on the historical load data. Experimental simulation proves that considering the characteristics of load behavior in different time periods can effectively improve the accuracy of load prediction.

Abstract:Data center is one of the important loads in the multi -station integration. A comprehensive comparison between DC and AC power supply architectures is focused to consider the effect of entire power supply modes on data center. Firstly, the typical DC and AC power supply architectures are analyzed. Then, a comprehensive assessment method considering economic, reliability, and controllability is developed. Finally, the comparison of the typical architectures based on the assessment method is applied.The results show that the DC has significant advantages over AC on economic, reliability and controllability. With the development of the DC technologies, the assessment method is supposed to be applied on more scenarios or developed to make more comprehensive and specific comparison.

Abstract:In order to assist the electricity sale company to improve the quality of the market-oriented sale service of electricity, support vector machine-chaotic time series model is used to dynamically predict the electricity consumption of users who can participate in market oriented electricity sales in Shaanxi. Then, users who do not participate in the marketization are analyzed and evaluated according to the calculation results of the deviation of electricity consumption forecast and the decrease of cost. Agent suggestions are given for electricity sale companies to carry out sale business. Finally, according to the requirements of the assessment, the dynamic prediction deviation value of the users who have partici-pated in the marketization is used to further analyze whether the users are assessed or not. The preliminary application results show that the electricity sale company has achieved good results in carrying out agency business from these two aspects, and the application can be further deepened.

Abstract:Integrated energy service is a key point for promoting the high quality development of the energy industry. It is of great significance to fully analyze the driving force of integrated energy service development from a theoretical perspective as well as actively explore high quality and efficient driving patterns from the practical level.“Demand”,“supply”,“technology”and“policy”are four driving forces for the development of integrated energy service. Taking“technology driven”as the forerunner, integrated energy service can achieve the leap from“planning”to“reality”as soon as possible. As a typical“technology driven”pattern, the development pattern of integrated energy services driven by Internet of Things will help the development of integrated energy service industry and promote the better and faster transformation and upgrading of energy industry in China.