Wang Shunjiang

Bio: Wang Shunjiang is an academic researcher from Shenyang University of Technology. The author has contributed to research in topics: Wind power & Electricity generation. The author has an hindex of 2, co-authored 6 publications receiving 11 citations.

Entire process accurate evaluation abandoned wind for high proportion wind power connected to large power grid

Abstract: Aiming at the randomness and volatility of the abandoned wind with high proportion wind power connected to the large power grid, this paper proposed a the entire processes accurate evaluation analysis method with multi-dimensional, multi-period and multi-type, constructed a multi-dimensional analysis system such as electricity, hours, abandonment rate and abandonment ratio, and constructed a multi-period analysis system such as the annual, heating season, monthly and hourly electricity distribution and the corresponding low valley period, it also constructed a multi-type analysis system such as peak shaving abandoned wind and grid structure abandoned wind, which provides a theoretical basis for implementing large-scale abandoned wind consumption. Combined with the actual examples, the abandoned wind analysis system established in this paper has practical significance for mastering the law of abandoning wind and selecting appropriate measures for abandoning wind consumption.

Flexible Adjustment Method for Power Grid with High-Proportion Clean Energy

Abstract: Aiming at the influence of the access of high-proportion clean energy into the power grid, a comprehensive regulation model for such multiple energy as hydropower, thermal power, time-shiftable load, battery energy storage, electric thermal storage and nuclear power as well as the tie line and frequency was proposed. Through combing the operational characteristics, the operation process of power grid was divided into normal regulation domain, abnormal regulation domain and emergency control domain, and the unconventional peak regulation of thermal power unit was classified into the abnormal regulation domain. The flexible adjustment precaution calculation and monitoring method for the power was established, which could provide the basis for the monitoring and control of the operation of power grid. The results show that the characteristics of each stage in the operation of power grid are different, and the required adjustment variables are also different. Similarly, the characteristics of each operation variable are different. Therefore, the division of three operational domains is in line with the actual operation of power grid.

Research on Joint Planning of the Source-Grid-Load with New Energy System Energy Balance and Economy

Abstract: With the rapid development of the economy and the depletion of conventional energy sources, it is imperative to vigorously develop new energy sources. The new energy power generation industry, represented by wind power and photovoltaic power generation, has gradually become industrialized and scaled up. Its grid-connected operation effectively relieves the load pressure that the grid is subjected to. However, the output of new energy sources is random and uncontrollable. After grid connection, it will increase the uncertainty of the system and affect the stable operation of the system. Therefore, how to safely and effectively absorb intermittent renewable energy has become a major practical problem facing the new energy power system. Current research results at home and abroad mainly focus on the optimal design of the power supply on the supply side, the optimal dispatch strategy on the grid side, and the demand side. Response mechanism and planning management. Studies involving the stability and economics of power system operation and the joint planning of source and load resources are still in the preliminary stage. Therefore, the establishment of a new energy power system energy balance, economy and the joint planning model of the source and the load provide a theory for the country to promote supply-side structural reforms, formulate phased energy-saving emission reduction targets, renewable energy power supply construction standards and electricity price subsidies and other related policies.

The effect of large-scale electric heating heat storage load coordinated operation on abandoned wind consumption

Abstract: Large-scale electric heating heat storage load is of great significance for eliminating wind and abandoning wind. However, power grid dispatching needs to coordinate these different types and different capacity loads so that it does not affect its own safe operation. The grid plays a bigger role. To this end, the large-scale electric heating heat storage load is divided into two categories: one is distributed small capacity; the other is centralized large capacity. The two load operation characteristics are modeled, and a coordinated operation strategy of two loads is proposed. The calculation of the actual data of a provincial power grid shows that the distributed has the characteristics of timing and fixed amplitude, and the centralized has the characteristics of dynamic adjustment. The distributed consumption is the low-level electricity, which can improve the ability to dissipate the wind and improve the peaking capacity of the power grid; most of the centralized consumption is the abandonment of wind power, but also can improve the dynamic peaking ability of the power grid.

Study on Large-Scale Clean Energy Dissipation Dispatch Method

Abstract: Because of the intermittent, volatile and random nature of most clean energy sources, it is difficult to control and is not easy to use. In the field of new energy power generation, the large-scale network access of energy power will not only increase the impact on the operation of the power grid, but also have a great impact on the existing power grid operation and management modes. With the increase of installed capacity such as wind power and photovoltaic power, the impact of volatility and randomness on the grid has also become apparent. In this paper, a large-scale dispatching solution is proposed to address the reality of large-scale clean energy generation in the power grid, and the impact of renewable energy generation uncertainty on the power grid is addressed.

Dispatching optimization model of gas-electricity virtual power plant considering uncertainty based on robust stochastic optimization theory

Abstract: With the rapid development of renewable energy, virtual power plant technology has gradually become a key technology to solve the large-scale development of renewable energy. This paper focuses on the stochastic dispatching optimization of gas-electric virtual power plant (GVPP). Based on this, wind power plant, photovoltaic power generation and convention gas turbines are used as the power generation side of GVPP. Power-to-gas (P2G) equipment and gas storage tank can realize the conversion and storage of electricity-gas energy. Price based demand response and incentive based demand response are introduced into the terminal load side to regulate the user’s electricity consumption behavior. GVPP bilaterally connects power network and natural gas network, which realizes the bidirectional flow of electricity-gas energy. Firstly, taking the maximization of economic benefits as the objective function, combined with the constraints of power balance, system reserve and so on, a dispatching optimization model of GVPP participating in multi-energy markets is constructed to determine the operation strategy. Secondly, wind, solar and other clean energy have the characteristics of random and fluctuation, which threaten the stable operation of the system. Therefore, a stochastic dispatching optimization model of GVPP considering wind and solar uncertainty is established based on robust stochastic optimization theory. Thirdly, the evaluation indicators of GVPP operation is determined, which can comprehensively evaluate the economic benefits, environmental benefits and system operation of virtual power plant. Finally, in order to verify the validity and feasibility of the model, a virtual power plant is selected for example analysis. The results show that: (1) After the implementation of price based demand response and incentive based demand response, the system load variance changes from 0.03 to 0.013. Through the comparison of load curves, it is found that demand response can play a role of peak-shaving and valley-filling and smooth the power load curve; (2) Stochastic optimization theory can overcome the uncertainty of wind and solar by setting different robust coefficients Γ which reflects the ability of the system to withstand risks; (3) The optimization effect after introducing the P2G subsystem makes the amount of abandoned clean energy close to zero. The operation risk of system is reduced, and the carbon emissions are reduced by 370 m3 too. The market space is expanded from electricity market mainly to natural gas market and carbon trading market.

Modeling and Stability Analysis of Parallel Inverters in Island Microgrid

Abstract: The island microgrid is composed of a large number of inverters and various types of power equipment, and the interaction between inverters with different control methods may cause system instability, which will cause the power equipment to malfunction. Therefore, effective methods for analyzing the stability of the microgrid system have become particularly important. Generally, impedance modeling methods are used to analyze the stability of power electronic converter systems. In this paper, the impedance models of a PQ-controlled inverter and droop-controlled inverter are established in d-q frame. In view of the difference of output characteristics between the two control methods, the island microgrid is equivalent to a double closed-loop system. The impedance model of the parallel system is derived and the open loop transfer function of the system is extracted. Based on the generalized Nyquist criterion (GNC), the stability of parallel system working in island microgrid mode is analyzed using this proposed impedance model. The simulation and experiment results are presented to verify the analysis.

A Power and Energy Joint Optimization Model and Its Application for Long-term Large-range Wind Power Accommodation

Abstract: In order to solve wind power accommodation problem in China,this paper proposes to take advantage of clean energy's long-term seasonal fluctuation characteristics over annual or monthly period,or to utilize the complementary nature of power supply and load characteristics in different regions.By building power and energy joint optimization model for long-term large-range wind power accommodation to minimize system operating costs,key problems like temporal-coupling power and energy joint optimization modelling problem,multi-generation,generation and transmission coordinative optimization modelling problem are solved.In addition,quantified decision making for long-term large-range wind power accommodation is achieved by using mixed integer programming(MIP).The model is tested with a practical example of a regional grid power system.The numerical example shows that the model can coordinately optimize different types of generating units and transmission lines in a long period,and improve the accommodation level of wind energy.

A Perspective on Energy Storage and Other Means to Integrate Increasing Shares of Renewable Electricity Generation

Abstract: Abstract The transition to a sustainable electricity supply from renewable energy sources (RES) imposes major technical and economic challenges upon market players and the legislator. In particular the rapid growth of volatile wind power and photovoltaic generation requires a high level of flexibility of the entire electricity system, therefore major investments in infrastructures are needed to maintain system stability. This raises the important question about the role that central large-scale energy storage and/or small-scale distributed storage (“energy storage at home”) are going to play in the energy transition. Economic analyses show that the importance of energy storage is going to be rather limited in the medium term. Especially competing options like intelligent grid extension and flexible operation of power plants are expected to remain favourable. Nonetheless additional storage capacities are required if the share of RES substantially exceeds 50% in the long term. Due to the fundamental significance of energy storages, R&D considers a broad variety of types each suitable for a specific class of application.

Entire process accurate evaluation abandoned wind for high proportion wind power connected to large power grid

Abstract: Aiming at the randomness and volatility of the abandoned wind with high proportion wind power connected to the large power grid, this paper proposed a the entire processes accurate evaluation analysis method with multi-dimensional, multi-period and multi-type, constructed a multi-dimensional analysis system such as electricity, hours, abandonment rate and abandonment ratio, and constructed a multi-period analysis system such as the annual, heating season, monthly and hourly electricity distribution and the corresponding low valley period, it also constructed a multi-type analysis system such as peak shaving abandoned wind and grid structure abandoned wind, which provides a theoretical basis for implementing large-scale abandoned wind consumption. Combined with the actual examples, the abandoned wind analysis system established in this paper has practical significance for mastering the law of abandoning wind and selecting appropriate measures for abandoning wind consumption.