Rss   Email Alert
Home Table of Contents

01 December 2017, Volume 38 Issue 12
    

  • Select all
    |
  •  
    WANG Dan
    Electric Power Construction. 2017, 38(12): 1.
    Abstract ( ) Download PDF ( )   Knowledge map   Save
     
  • LIU Liu, WANG Dan, JIA Hongjie, WANG Weiliang, ZHI Yunqiang, MENG Zhengji, ZHOU Bingyu
    Electric Power Construction. 2017, 38(12): 2. https://doi.org/DOI: 10.3969/j.issn.1000-7229.2017.12.001
    Abstract ( ) Download PDF ( )   Knowledge map   Save
     ABSTRACT: The interactions in integrated energy distribution system (IEDS) becomes intimate and the coupling relationship is complicated. Energy storage is the key to realize economic and stable operation of IEDS. The investment of traditional energy storage is often high, and the network-level large-scale storage hasn’t been widely used because of the limitation by geographical, physical, economic and other factors. In view of the above problems, this paper focuses on flexible coupling and multi energy complementary features of IEDS between electricity and natural gas. A model of generalized multi-source energy storage (GMSES) is proposed by the optimization of IEDS muti energy flow and the comprehensive utilization of IEDS network resources. Without changing the network structure of IEDS and adding investment in energy storage equipment, GMSES could realize a network-level charging/discharging energy storage, as well as the energy optimization management. Finally, based on the consideration of energy flow and devices constraints, an specific example is given to study energy optimization method of GMSES and verify that the GMSES model can effectively improve the system economy. Simultaneously, GMSES also has the potential to stabilize the volatility of renewable energy.
     
  • SUN Ke, HE De, LI Chunxiao, DONG Shufeng, XU Hang, HE Zhongxiao
    Electric Power Construction. 2017, 38(12): 12. https://doi.org/DOI: 10.3969/j.issn.1000-7229.2017.12.002
    Abstract ( ) Download PDF ( )   Knowledge map   Save
     ABSTRACT: Integrated energy system (IES) is the key technology to achieve multi-energy coupling and energy gradient utilization. As a complex energy system including many kinds of energy sources, Factory has a lot of optimization space. This paper proposes a multi-energy cooperative optimal model of IES for factory considering multi-mode of ice storage. First of all, we introduce IES energy supply architecture and build a model for devices in IES. Then, taking the minimum daily running cost of operation and maintenance, purchase, fuel  and storage as optimal target, we adopt mixed integer linear programming method to solve the model under the energy balance constraint and the physical constraint of equipment. The example analysis shows that multi-energy cooperative optimization can effectively reduce the operating costs of industrial users, and the different working modes of equipment will also affect the energy supply strategy of the factory. The model can provide more accurate optimization strategy according to different working modes of factory equipments, and has good reference value in actual engineering.
     
  • TAN Tao, SHI Jiaqi, LIU Yang,ZHANG Jianhua
    Electric Power Construction. 2017, 38(12): 20. https://doi.org/DOI: 10.3969/j.issn.1000-7229.2017.12.003
    Abstract ( ) Download PDF ( )   Knowledge map   Save
     ABSTRACT: To make full use of Industrial Park Energy Internet in integrating regional energy sources, achieving multi-energy complement and promoting ‘source-grid-load-storage’ coordinated operation, this paper discusses the key technologies of energy management after summarizing the characteristics. Firstly, we present the background and research status of Energy Internet, analyze the necessity of developing Industrial Park Energy Internet under the energy market environment, and establish the detailed distinguish model of Energy Internet type. Then, based on the idea of energy supply side reform and industrial park economic sustainable development, we emphasize the concept and typical structure of the Industrial Park Energy Internet, and analyze its characteristics compared with the generalized Energy Internet. Finally, we discuss the key technologies of energy management platform in Industrial Park Energy Internet, including information perception, ‘source-load’ prediction, multi-energy coordinated scheduling and advanced application services. Instructive suggestions for the future development of Industrial Park Energy Internet are also proposed at the end of paper.
     
  • MU Shujun, LIN Jin, XING Xuetao, ZHOU You, SUN Kai
    Electric Power Construction. 2017, 38(12): 31. https://doi.org/DOI: 10.3969/j.issn.1000-7229.2017.12.004
    Abstract ( ) Download PDF ( )   Knowledge map   Save
     ABSTRACT: High temperature solid oxide cell (SOC) storages electricity through electrolysis of water into hydrogen. The hydrogen produced could be converted back to electricity, and also could be injected into gas pipeline or applied into traffic or chemical industry, which could greatly broaden the application of hydrogen, realize super-large capacity energy storage and provide an ideal option for huge amount storage of curtailed water or wind power. Currently, the research of SOC for energy storage is still in its infancy. This paper firstly proposes a general design plan for SOC test platform, which could be applied to the operation mode of both solid oxide electrolysis cell (SOEC) that can electrolyze water into hydrogen and solid oxide fuel cell (SOFC) that can cogenerate heat and power from hydrogen;and then, presents the main test process of the platform for operation on SOFC and SOEC separately. Finally, the feasibility of the design plan and test process of the test platform as well as the high efficiency characteristic of SOC energy storage technology are verified based on the experiment data of 100 W SOC.
     
  • HE Xingrong,ZHANG Hong,ZHANG Anan,QIU Cunyong
    Electric Power Construction. 2017, 38(12): 38. https://doi.org/DOI: 10.3969/j.issn.1000-7229.2017.12.005
    Abstract ( ) Download PDF ( )   Knowledge map   Save
     ABSTRACT: The offshore project uses gas turbine to generate electricity, so the waste heat has great potential, and the waste heat can be recycled more than 30% of the total energy. From the aspect of the optimization design of cascade waste heat power generation for micro integrated energy system, this paper uses waste heat according to the temperature: the high temperature flue gas is recovered by waste heat boiler, the medium and low temperature heat source is recovered by using organic Rankine power generation technology after heat exchange, which can achieve the cascade utilization of waste heat. Then, this paper constructs the multi-objective optimization model, which takes the minimum annual total cost and the minimum CO2 annual missions as target and the balance of electric load and heat load as constraint conditions. Through the comparison of typical offshore oil and gas engineering design schemes, it is showed that the proposed method can effectively realize the collaborative optimization of cost control and energy saving & emission reduction targets.
     
  • GUO Ye, SHI Junwei, MAO Anjia
    Electric Power Construction. 2017, 38(12): 43. https://doi.org/DOI: 10.3969/j.issn.1000-7229.2017.12.006
    Abstract ( ) Download PDF ( )   Knowledge map   Save
     ABSTRACT: The traditional combined cooling heating and power  (CCHP) system researches mainly focus on its operation optimization, and lesson the siting and sizing of distributed generation (DG) in the system. The demand response (DR) based on price and incentive is not taken into account in the process. Based on the multi-energy complementary characteristics of CCHP system, this paper puts forward the siting and sizing model of distributed power with considering price and incentive based DR, which takes distributed power access nodes and access capacity as variables. Firstly, we establish the thermo-electric coupling operation model for CCHP system. Secondly, we propose the pricing method of unit power compensation with interruptible load, comprehensively considering load reduction, interruption duration and interrupt time factor. Then, by analyzing the DR cost in the objective function, the planning goal is more comprehensive and the investment is saved. In addition, based on the consideration of incentive and price-based DR, an improved price elasticity coefficient is defined with considering the influence of electric price, gas price and the compensating price of unit power with interruptible load, which is used to correct the load forecast. At last, the planning model is solved by the neighborhood re-dispatch particle swarm optimization algorithm (NR-PSO). And through the simulation analysis of a 13-node integrated park system, the validity of the proposed model and method is verified.
     
  • LIU Zejian, YANG Ping, XU Zhirong
    Electric Power Construction. 2017, 38(12): 51. https://doi.org/DOI: 10.3969/j.issn.1000-7229.2017.12.007
    Abstract ( ) Download PDF ( )   Knowledge map   Save
     ABSTRACT: The integrated energy system, which integrates electricity, heat, cold, gas and other energy supply networks, can promote the local consumption of renewable energy, realize the optimal utilization of resources and improve the comprehensive energy efficiency through complementary advantages of various energy sources. For the regional integrated energy system integrated with electricity, heat, cold and gas, based on the solar photovoltaic output and load characteristic curves on typical days in different seasons, this paper establishes the capacity allocation optimal model of regional integrated energy system with considering the system economic operation on a typical day, to maximize economic and environmental benefits which accounts for investment costs and profits. And an improved adaptive PSO algorithm is used to solve the optimization problem. Finally, a industrial park in Shenzhen is taken as an example to verify the effectiveness of the model and method, which can achieve the scientific capacity allocation for the integrated energy system and provide the theoretical basis and technical support for planning and design of integrated energy system.
     
  • ZHAO Na,LI Xiangyu,ZHU Yongqiang,JIA Lihu,XIA Ruihua
    Electric Power Construction. 2017, 38(12): 60. https://doi.org/DOI: 10.3969/j.issn.1000-7229.2017.12.008
    Abstract ( ) Download PDF ( )   Knowledge map   Save
     摘  要:能源互联网是社会发展和能源革命的产物。为对能源进行合理规划利用,提高能源互联微网系统的经济效益,文章给出了能源互联微网的基本框架,阐述了简单优化原理,构建了一种适用于能源互联微网气电网络规划的协同优化策略模型。将所提出的策略与权重改进的粒子群算法相结合应用于我国某典型能源互联微网系统中,结果表明通过对系统设备的装机数量、实际投入机组数量、出力效率进行调度优化,可达到降低系统成本的目的,提高系统的经济性。
     
  • JING Weizhe,LIU Yang,XIANG Yue,ZHANG Rui
    Electric Power Construction. 2017, 38(12): 68. https://doi.org/DOI: 10.3969/j.issn.1000-7229.2017.12.009
    Abstract ( ) Download PDF ( )   Knowledge map   Save
     摘  要:分布式冷热电联供系统(distributed combined cooling, heating and power system,DCCHP)因其高效的能源利用率成为区域综合能源系统的有效实现形式,同时随着需求侧响应(demand response,DR)技术的发展,通过管控用户用能行为来提高能源系统性能成为目前研究的热点。基于此,文章建立了区域能量管理系统(regional energy management system,REMS)并提出了一种基于DR的DCCHP能量管理策略。在用户侧,对系统负荷进行分类并建立考虑用户满意度反馈及动态费用补偿的DR控制模型。REMS用能方式管控子系统,针对冷热电负荷各自的特点及组成,以DR补偿费用及负荷峰谷差最小为目标优化初始负荷曲线形态。在供能侧,将优化后的负荷数据输入REMS设备出力调度子系统,以DCCHP综合成本最小为目标经济管控系统设备出力。算例仿真结果证明所提策略可有效提高系统能源利用率、降低成本,实现供需双侧的共同优化。
     
  • YU Bo,LU Xin,LI Hao,ZHENG Xin,ZHAO Jun,SU Pengwei
    Electric Power Construction. 2017, 38(12): 77. https://doi.org/DOI: 10.3969/j.issn.1000-7229.2017.12.010
    Abstract ( ) Download PDF ( )   Knowledge map   Save
    ABSTRACT:  With the deepening of the electrical energy substitution, the electric heating tends to highlight that the peak load could be too high during the peak period of electricity consumption, which makes it especially important of power system load forecasting. At the same time, in order to solve the problem of time consuming by using multi-stage planning method to solve the energy system operation strategy, this paper presents operation optimization technology of regional heating system for park based on load prediction. Firstly, we build a thermal load prediction model by using artificial neural network, which takes solar radiation, ambient temperature and historical load as input parameters. And then, we develop a quick solution method for engineering application face to regional heating system operation optimization, by converting multi-stage dynamic programming problem into linear programming problem. Finally, we validate this method through the simulation of a park in the North, to obtain the optimal running scheme. The results show that the daily operation cost of electric heating can save 11 500 yuan during forecast period, and the peak valley load difference can reduce 5 489kW. The proposed optimization method can obtain the feasible running scheme in a short time and less monitoring parameters, which is suitable for engineering practice.
     
  • ZHOU Ling, LYU Lin, LI Ting, XU Weiting, LIU Youbo, TANG Hu
    Electric Power Construction. 2017, 38(12): 87. https://doi.org/DOI: 10.3969/j.issn.1000-7229.2017.12.011
    Abstract ( ) Download PDF ( )   Knowledge map   Save
     ABSTRACT:  In recent years, the combined heat and power system with distributed energy sources has been widely used in the regional energy system. However, the traditional fault analysis is only for the decision-making of power supply system, which lacks the overall consideration of the integrated energy system. This paper studies the problem about energy recovery of integrated energy system under the condition that the power supply of the combined heat and power system is interrupted. The heat exchange station model and large consumption user model with high power consumption and high heat production are proposed in order to describe the coupled thermal and electric relationship, which can help establish an energy supply recovery process model with different load levels for energy production, distribution and conversion between the thermal and electric systems. Considering the influence of thermal inertia, the load recovery strategy model of the combined heat and power system is constructed by using the elasticity of heat supply in space and time, and solved by CPLEX solver to get the minimum loss of load after failure. The validity of the proposed method has been verified by an example of combined heat and power system.
     
  • YIN Wei,TONG Qinyi,XU Yang,WANG Liang,DONG Shufeng,HE Zhongxiao
    Electric Power Construction. 2017, 38(12): 97. https://doi.org/DOI: 10.3969/j.issn.1000-7229.2017.12.012
    Abstract ( ) Download PDF ( )   Knowledge map   Save
     ABSTRACT: Plant is a typical energy system with complex energy supply structure, there are many energy flow coupling in production process, and the optimization space is large, which is the key development area of multi-energy system. Meanwhile, there are a large number of energy equipments in plant, whose life cycle cost has a great impact on the energy strategy of plant. Therefore, aiming at the multi-energy microgrid model of the plant with considering photovoltaic, wind, energy storage, ice storage, central air-conditioning and other energy equipment, this paper presents a plant economy scheduling strategy considering full life cycle cost of equipment. With considering the whole life cycle cost of equipment, we construct a day-ahead economic dispatch model of plant with the lowest plant operating costs as the goal, and use the mixed integer linear programming method to solve the model. Numerical results show that the proposed optimization strategy enables multiple energy sources to complement each other, reduces energy consumption during energy conversion and storage and improves energy utilization efficiency. Meanwhile, under the stimulation of the price signal, the adjustment potential of the demand side equipment has been fully brought into play;renewable energy consumption and power grid peak are promoted;energy consumption structure has been optimized. Because the total life cycle cost of the equipment is considered, it has better generalization value in engineering practice.
     
  • ZHANG Chi,TANG Qinghua,YAN Wei,WEI Jufang,HOU Kai,WANG Yue,HE Zhe
    Electric Power Construction. 2017, 38(12): 104. https://doi.org/DOI: 10.3969/j.issn.1000-7229.2017.12.013
    Abstract ( ) Download PDF ( )   Knowledge map   Save
     ABSTRACT: With the development of integrated community energy system (ICES), the relationship among electrical, gas and thermal systems is becoming tighter and tighter. Based on the energy hub model and sampling technique on system status using Monte Carlo simulation, this paper proposes the particle swarm optimization (PSO)-inner point algorithm to assess ICES’s reliability. By applying the advantages of PSO and inner-point method, the proposed algorithm assesses ICES’s reliability with better accuracy. Moreover, this paper analyzes the impact of renewable energy penetration level on ICES’s reliability in detail. 
     
  • NI Wei, LYU Lin,LI Ting,XU Weiting,LIU Junyong,XU Lixiong
    Electric Power Construction. 2017, 38(12): 112. https://doi.org/DOI: 10.3969/j.issn.1000-7229.2017.12.014
    Abstract ( ) Download PDF ( )   Knowledge map   Save
     ABSTRACT:   Renewable energy consumption is one of the important contents to promote energy-saving emission reduction, building a low-carbon smart grid. This paper focuses on the distribution network operation, introduces the active network reconfiguration measures, cooperates with the joint electrothermal hybrid storage control, and proposes the multi-energy optimized consumption model and the solving strategy for the wind power consumption in distribution network. Firstly, the power model of each unit in distribution network, such as distributed wind power and electrothermal hybrid storage system, is analyzed. Based on this, this paper establishes a nonlinear mixed integer mathematical optimization model of integrated electrothermal hybrid storage control and network reconfiguration, and uses a second-order conic programming to relax the linearity of nonlinear constraints, to achieve rapid model solution. The simulation results show that the combined optimization strategy of electrothermal hybrid storage control and network reconfiguration can affect the promotion of wind power consumption in distribution network