01 December 2018, Volume 39 Issue 12

    

• Select all
  |

• Select
   

  Electric Power Construction. 2018, 39(12): 1.

  Abstract ( ) Download PDF ( )   Knowledge map   Save

   
• Select
  Stochastic Optimization in Integrated Electricity-Gas Energy Systems Considering Stochastic Characteristics of Wind Power Outputs

  XUE You, LI Yang, GAO Ying, WEN Fushuan, WANG Ke, HUANG Yuchun

  Electric Power Construction. 2018, 39(12): 2-12. https://doi.org/10.3969/j.issn.1000-7229.2018.12.001

  Abstract ( ) Download PDF ( )   Knowledge map   Save

   The power to gas （P2G） technology and natural gas generation units （NGGUs） facilitate the bidirectional coupling and hence closed-loop operation between a power system and a natural gas system concerned, and the development of an integrated electricity-gas energy system （IEGES）. IEGES can help promote the operation flexibility of the power system and natural gas system concerned and offer a potential alternative to accommodate intermittent generation from wind power and other renewable energy sources. Given this background, stochastic optimization strategies in IEGES with P2G facilities and NGGUs are addressed. First, a stochastic optimization model of IEGES with stochastic characteristics of wind power output is presented, with an objective of minimizing the overall operation costs, and the operation constraints in both the power system and natural gas system. Among them, by employing a fast searching density clustering algorithm, historical wind speed data are clustered so as to simulate the stochastic characteristics of wind power outputs. Then, the commercial solver AMPL/IPOPT is used to solve the presented stochastic optimization model. Finally, a sample IEGES with a modified version of the IEEE 39-node power system and the Belgium 20-node natural gas system included is employed to demonstrate the proposed method.
• Select
  Heat-Gas-Power Flow Calculation Method for Integrated Energy System Containing P2H and P2G

  YU Xiaohan, ZHAO Jinquan

  Electric Power Construction. 2018, 39(12): 13-21. https://doi.org/10.3969/j.issn.1000-7229.2018.12.002

  Abstract ( ) Download PDF ( )   Knowledge map   Save

  As the basis of integrated energy system research, multi-energy flow calculation of integrated energy system is of great significance. Firstly, the model of P2H and P2G are given, then the model of CHP and P2H joint system is also given. Secondly, this paper presents integrated multi-energy flow calculation method. Considering the difference of physical characteristics of each subsystem and the scalability of the integrated energy system, a new alternate iterative calculation method is proposed. Two calculation methods are verified in case study.
• Select
  Research on Day-ahead Power and Heat Combined Dispatch of Microgrid Based on Global Optimization and Multi-agent Game

  GONG Jianfeng, CAO Yuchen, QU Gaoqiang, LIU Hong, JIN Panlong

  Electric Power Construction. 2018, 39(12): 22-30. https://doi.org/10.3969/j.issn.1000-7229.2018.12.003

  Abstract ( ) Download PDF ( )   Knowledge map   Save

  Aiming at day-ahead power and heat combined dispatch problem of microgrid containing renewable energy, a comparative analysis on optimization results of global optimization and multi-agent game is carried out. Initially, on the basis of efficiency model of energy generation and conversion equipment in multi-energy microgrid, considering life loss of energy storage, renewable energy curtailment, dispatch cost of electric vehicles, etc., operating cost models of various equipment are established. Furthermore, mathematical model of day-ahead economic dispatch aiming at microgrid has the best operating cost is established, and an advanced chaotic particle swarm optimization algorithm based on particle dimension entropy is established. Additionally, mathematical day-ahead economic dispatch model of multi-agent interest balance is established, which contains renewable energy owner, microgrid energy service provider and user. And a solve method based on Nash equilibrium game is proposed. Finally, in-depth comparative analysis is carried out according to the economic dispatch results of global optimization and multi-agent game, and the validity and practicability of the model are illustrated.
• Select
  Decision-making of Orderly Charging of Centralized Charging Station Considering Concentrating Solar Power

  DENG Youjun, ZHANG Yongxi, LI Bo, LUO Lingtong, HOU Tingting

  Electric Power Construction. 2018, 39(12): 31-38. https://doi.org/10.3969/j.issn.1000-7229.2018.12.004

  Abstract ( ) Download PDF ( )   Knowledge map   Save

  Concentrating solar power （CSP）, as an important renewable energy power generation technology, generates electricity by using concentrating collectors, thermal storage system and steam turbines, etc. Compared with photovoltaic power generation, CSP uses thermal storage system （TSS） to achieve similar output characteristics such as good regulation performance and strong climbing ability with conventional gas turbines, and continuous heat generation at night or in the absence of light. Therefore, considering CSP can provide controllable, continuous and stable output, and good auxiliary services for centralized charging stations, CSP and centralized charging station are integrated to operate together. An orderly charging strategy for centralized charging stations considering CSP is proposed, and an orderly charging model with the objective of minimizing the total costs of daily purchase electricity cost and system load fluctuation penalty fee is constructed. Numerical simulation results show that, considering CSP can effectively reduce the electricity purchase costs and balancing the fluctuation of system load. Besides, the different effects of photovoltaic power generation and CSP on the operation results are analyzed comparatively, and the operation results under different TSS capacity configurations are analyzed comparatively.
• Select
  Multi-objective Day-ahead Optimal Scheduling Method for Integrated Community Energy System Considering the Stochastic Behaviors

  LI Lin，XU Jing，LIN Wei, MU Yunfei，JIN Xiaolong，JIA Hongjie，YU Xiaodan，DU Lijia，YUAN Kai

  Electric Power Construction. 2018, 39(12): 39-46. https://doi.org/10.3969/j.issn.1000-7229.2018.12.005

  Abstract ( ) Download PDF ( )   Knowledge map   Save

  In order to satisfy the energy demands for electricity, natural gas and heat, and realize multi-objective scheduling and management of electric distribution system, natural gas distribution system and energy center （EC） system, a multi-objective day-ahead optimal scheduling method for integrated community energy system （ICES） considering the stochastic behaviors is proposed in this paper. Firstly, the mathematical models of electric distribution system, natural gas distribution system and EC system are developed. Secondly, the multi-objective stochastic optimization model is developed based on the chance constrained programming. The operation cost and total emission are considered as the objective functions and the model is solved by the non-dominatied sorting genetic algorithm II （NSGA-II）. Finally, by applying the proposed method to a typical ICES, a series of alternative solutions are provided to the operator, which can not only consider the effects of stochastic behaviors, but also satisfy the constraints of multi-energy power flow and realize the economic and environmental-friendly operation of ICES.
• Select
  Economic Operation of an Integrated Energy System Considering Repeated Conversion of Energy Sources Within an Energy Hub

  FENG Qiming, LIU Jichun, YANG Yangfang，TAN Xinyi，YIN Long，SUN Ningjie

  Electric Power Construction. 2018, 39(12): 47-54. https://doi.org/10.3969/j.issn.1000-7229.2018.12.006

  Abstract ( ) Download PDF ( )   Knowledge map   Save

  The introduction of P2G （power to gas） equipment into integrated energy systems has strengthened the coupling between electricity and natural gas networks, reduced the abandonment of wind power, but also reduced to a certain extent the optimization of renewable energy sources in energy hubs. Energy conversion occurs during dispatch, which reduces the energy efficiency and generates energy losses. In this context, a two-layer optimization scheduling model is proposed to reduce the repetitive conversion of energy sources. The KKT condition is used to convert the two-layer model into a single-layer model, and the scheduling operation schedule of the conversion equipment and the minimum operating cost of the system are optimized.Finally, four different typical scenarios are used to verify the system in the example. The results show that the proposed optimized scheduling model can reduce the operating cost of the system and improve the energy efficiency. The scheduling model that considers repeated energy conversions has significantly improved economics
• Select
  Collaborative Optimization Operation of Power Systems with High Proportion of Renewable Energy Considering Uncertainty of Generation and Load

  LIU Mengyi, QIU Xiaoyan,ZHANG Kai,ZHANG Haoyu,LI Linghao

  Electric Power Construction. 2018, 39(12): 55-62. https://doi.org/10.3969/j.issn.1000-7229.2018.12.007

  Abstract ( ) Download PDF ( )   Knowledge map   Save

  Under the background of high proportion of renewable energy, wind and photovoltaic power generation have become the key means to cope with climate change and promote energy conservation and emission reduction. However, due to their volatility and randomness, the difficulty of collaborative optimization operation of power system is increased. In this paper, the scene generation and load real-time output is generated by the Latin hypercube sampling, and the sample reduction is carried out according to Euclidean distance, and the uncertainty problem is transformed into the scene analysis problem. On this basis, the scheduling compensation strategy of different user types at different time scales is analyzed, and the complementary mechanism composed of electricity price type and incentive demand response is introduced. Taking the highest economic efficiency of the system operation, the renewable energy consumption rate under different scheduling strategies is compared and analyzed. The example shows that after considering the source-load uncertainty, the proposed strategy can better stabilize the load curve, improve the scenery consumption rate, and realize the collaborative optimization operation of high-proportion renewable energy power system.
• Select
  Real-time Optimal Charging Scheduling for Electric Vehicles Considering Interactions Among Traffic Network, Distribution System and Electric Vehicles#br#

  WANG Ke, LI Yuan, YANG Wentao, LI Tao, CEN Haifeng, XU Yuan, WEN Fushuan

  Electric Power Construction. 2018, 39(12): 63-72. https://doi.org/10.3969/j.issn.1000-7229.2018.12.008

  Abstract ( ) Download PDF ( )   Knowledge map   Save

  Potential applications of massive electric vehicles （EVs） may have negative impacts on the operation of the concerned urban traffic system and distribution system. Meanwhile, the temporal and spatial distribution of the EV charging load is closely related to the urban traffic system and distribution system. Therefore, the charging scheduling and control of EVs taking into account the interactions among the urban traffic system, distribution system and EVs, are important issues to be addressed. Given this background, a framework of an electrified transportation coordinated system considering the interactions in the traffic-distribution-vehicle framework is first proposed. A microscopic traffic flow model based on trip chain is next established to simulate the traveling behavior, temporal and spatial distribution, charging state and charging demand of EV drivers. A strategy for selecting the charging station and navigation is then proposed. Further, a bi-level real-time optimal scheduling model is presented to determine the optimum charging schemes of EVs in each charging station, with the security of the distribution system and charging waiting cost of EV drivers taken into consideration. Finally, an integrated sample system including a regional traffic system and a modified IEEE 33-node distribution system is employed to demonstrate the presented model and method.
• Select
  A Hierarchical Scheduling Strategy for Electric Vehicles under Dynamic Time-of-use Tariff Mechanism

  ZHANG Xizhu1, LIU Xunyuan2, YANG Wentao, WEN Fushuan, MENG Kai, LIU Hong, ZHANG Manying, HU Zhecheng, LIU Zhaoyu

  Electric Power Construction. 2018, 39(12): 73-80. https://doi.org/10.3969/j.issn.1000-7229.2018.12.009

  Abstract ( ) Download PDF ( )   Knowledge map   Save

   Uncoordinated charging of numerous electric vehicles （EVs） imposes significant negative impacts on the secure and economic operation of the power system concerned. Given this background, a hierarchical scheduling strategy for EVs in a dynamic time-of-use （TOU） tariff environment is proposed with objectives of mitigating load fluctuation and enhancing the local accommodation capability for photovoltaic （PV） power outputs. The charging/discharging schedules are first optimized by EV owners/users, and then adjusted by the local EV dispatcher as final schedules. Specifically, an EV charging/discharging optimization model is first built with objectives of minimizing the charging cost and maximizing the discharging profit. Then, a dispatching model is presented for the local EV operator to enhance the local accommodation capability for PV power outputs. On the basis of the dispatching result of the local EV dispatcher and the on-line updated load profile in the distribution system concerned, a dynamic TOU tariff updating strategy is presented. Finally, On the basis of the EV arrival time, departure time and charging demands generated by the well-established Monte Carlo simulation method, a distribution system with 3 residential communities is employed to demonstrate the effectiveness of the proposed method.
• Select
  Research Status and Prospect of Key Technologies for Coordinated Control of Multi-energy Synergic Integrated Energy Systems

  HAN Yu, PENG Ke, WANG Jinghua, XU Bingyin, LI Junge,ZHAO Yuehao

  Electric Power Construction. 2018, 39(12): 81-87. https://doi.org/10.3969/j.issn.1000-7229.2018.12.010

  Abstract ( ) Download PDF ( )   Knowledge map   Save

  Integrated energy systems can not only improve energy efficiency, promote large-scale consumption of renewable energy, but also improve the utilization of social infrastructure to ensure energy supply. The coordinated control of various energy sources is the key technology to achieve energy optimization and the stable operation of the system. This paper analyzes the challenges faced by the multi-energy coordinated control technology, including multi-energy coupling and modeling, control equipment for multi-energy system applicability, fault treatment of integrated energy system. This paper summarizes current research situation at domestic and abroad, and looks forward to the research trend of coordinated control of multi-energy integrated energy system, the key technical problems that need to be solved in the external characteristic modeling, cooperative optimization, fault handling and control equipment of the integrated energy system are proposed.
• Select
  Maintenance Optimization Based on Opportunistic Maintenance for Combined Heat and Power Unit

  XU Bo，SUN Hongbin，LU Gang，ZHANG Yumin

  Electric Power Construction. 2018, 39(12): 88-94. https://doi.org/10.3969/j.issn.1000-7229.2018.12.011

  Abstract ( ) Download PDF ( )   Knowledge map   Save

   Integrated energy system is composed of multiple energy systems. When a combined heat and power unit fails, more than one energy systems can be influenced. Therefore, it is very important to improve the reliability of CHP. In this paper, we propose a maintenance decision model for CHP based on opportunistic maintenance. Firstly, the expression of the availability of CHP considering opportunistic maintenance is derived. And then, in order to quantify the impact of different maintenance strategies on system operation, system operation risk is given, taking electric load loss and heat load loss into account. Finally, maintenance decision model of the CHP is established with maintenance constraints. The model is solved by genetic algorithm. Case studies show that the model can optimize CHP maintenance strategy and improve the reliability of CHP and the overall system efficiency.
• Select
  Evaluation of Peak-Shaving Capability of Distributed Electric Heating Load Group Based on Measured Data

  YANG Yulong, WANG Tong, MU Gang,YAN Gangui, LIU Jinsong,HAN Yue, LIU Ruitong,FAN Wei

  Electric Power Construction. 2018, 39(12): 95-101. https://doi.org/10.3969/j.issn.1000-7229.2018.12.012

  Abstract ( ) Download PDF ( )   Knowledge map   Save

   In the regional power grid with high wind power penetration rate in China, the wind power has anti-peaking characteristics, which harms the safe operation of the power system. The source side regulation are gradually lacking, and developing the peak-shaving capability of distributed electric heating load is an effective way to solve this problem. In this paper, an electric heating load model based on building parameters and a peak-shaving capability evaluation model are established. Then the peak-shaving experiment is carried out to verify the feasibility and fit the model parameters in the severe cold region. Finally, on the basis of simulation, the peak-shaving capability of typical residential building in the severe cold region is given from two aspects: time-shift power and peak-shaving cost. And the factors affect the time-shift power and peak-shaving costs are analyzed.
• Select
  Risk Assessment of Integrated Energy System Based on Electricity and Heat Power Flow

  REN Zhichao, CHENG Chao, HE Zhongxiao, WANG Xiaohua, WANG Xiao

  Electric Power Construction. 2018, 39(12): 102-108. https://doi.org/10.3969/j.issn.1000-7229.2018.12.013

  Abstract ( ) Download PDF ( )   Knowledge map   Save

  Security and reliability are the basic requirements of integrated energy systems（IES）. To ensure the reliability of energy supply of IES, it is of great significance to carry out risk assessment research. In this paper, the electricity-heat coupled power flow calculation algorithm considering steam network is established firstly. Then the IES risk assessment indicator system considering operation side and user side is designed. Finally, the risk assessment process based on electricity-heat coupled power flow for integrated energy system is proposed. The results of the test case show that the risk assessment indicators and analysis methods proposed in this paper can effectively identify the overall risk of the multi-energy flow system.