Peng Wang

Shandong University

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Yiwei Ma

Chongqing University of Posts and Telecommunications

Haoran Zhao

Wuhan University

Husheng Qian

Nanjing University of Aeronautics and Astronautics

Tianzhi Fang

Nanjing University of Aeronautics and Astronautics

Yuexin Ma

ShanghaiTech University

Genhong Luo

Chongqing University of Posts and Telecommunications

Zhiqi Ling

Chongqing University of Posts and Telecommunications

Zheng Shi

Nanjing University of Posts and Telecommunications

Tao Huang

Polytechnic University of Turin

Haili Wang

Zigong First People's Hospital

Cooperative Institutions

Chongqing University of Posts and Telecommunications

State Grid Corporation of China (China)

Shandong University

Taiyuan Heavy Industry (China)

China Southern Power Grid (China)

University of Electronic Science and Technology of China

Chinese University of Hong Kong

Fudan University

Southeast University

North China Electric Power University

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Single-Current Feedback Control Strategy for Input-Parallel Output-Series LCL-Type Grid-Connected Inverter System

IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society (2022)

Peng Wang Tianzhi Fang Husheng Qian

The multi-module input-parallel output-series (IPOS) connected inverter system, which is composed of standard modules parallel in the input side and series in the output side, have many advantages in high voltage applications. For example, in the renewable energy power generation fed to the grid, the IPOS inverter system can reduce the transformation ratio of the transformer between the inverter and grid, thus the transformer can be smaller and lighter. In order to get the high quality of grid current, the LCL filter is adopted in the output side of standard modules. Multiple objectives such as unity power factor, damping the resonant spike of LCL filter and output voltage sharing within standard modules, need to be achieved for this LCL-type IPOS grid-connected inverter system. This paper proposes a single-current feedback scheme which only samples the inverter-side current of one module to reach these goals simultaneously. It greatly simplifies the control structure and cuts down the cost sharply. In the end, the experimental results of the prototype consisting of two modules are shown to verify the effectiveness of the proposed scheme.

Grid-tie inverter

10.1109/iecon49645.2022.9968943

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Droop Control Strategy For Input-Parallel Output-Series LCL-Type Grid-Connected Inverter System

IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society (2022)

Peng Wang Tianzhi Fang Husheng Qian

The input-parallel output-series inverter system(IPOS) is very suitable for low input-voltage and high output-voltage applications, which is composed of multiple inverter modules connected in parallel on the input side and in series on the output side. The output voltage sharing(OVS) is the key to ensure the stable operation of the IPOS inverter system, and the existing control strategies have shortcomings such as low modularity and reliability. Therefore, this paper proposes a droop control strategy based on the droop relationship between the inverter-side inductor current and filter capacitor voltage. It realizes disturbed control with no interconnection bus between modules. In the case of inconsistent filter parameters, it can significantly improve the system output voltage sharing and ensure the stable operation of the system by increasing the droop coefficient. This paper introduces the working principle and characteristic of the droop control strategy firstly. The influence of the droop coefficient on the system stability is also analyzed, and simulation results are presented at last.

Modularity

10.1109/iecon49645.2022.9968976

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Dynamic scheduling optimization model for virtual power plant connecting with wind-photovoltaic-energy storage system

Wang Yao Zheng Shi Zheng Wang Jiawei Wang Xuxia Li

In order to promote wind power and solar power as the representative of the development of the distributed energy grid, this paper based on the wind power, photovoltaic power generation, gas turbine, the energy storage system and incentive model to build a virtual power plant (vpp) demand response, introducing the theory of conditional value at risk (cvar) and confidence method to describe the vpp operating uncertainty, and operating income maximization as the objective function. Vpp routine scheduling optimization model is established. Then this paper further to determine the threshold value of vpp operating earnings. Using cvar theory to describe the vpp operating uncertainty factors in the objective function, confidence method is applied to convert the constraint conditions including uncertainty variables, which run the risk of vpp stochastic scheduling optimization model is established. Improved ieee30 node system is chosen as the finally, the simulation system, the simulation results show that the price type of demand response can gently electricity load curve, energy storage system and incentive mode demand response can increase the vpp operating income. This means that the cvar theory and confidence method can be used to describe confidence vpp operating risks, thus by setting the threshold value and the confidence to reflect the decision makers for risk attitude, thus helping the risk control.

CVAR

Virtual power plant

Demand Response

10.1109/ei2.2017.8244411

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Time-of-Use Period Partition Based on Improved Fuzzy C-Means and Abnormal Period Correction

Authorea (Authorea) (2023)

Peng Wang Yiwei Ma Zhiqi Ling Genhong Luo

In time-of-use tariff period partition, clustering algorithms are commonly used. However, as load demands become more diverse in this big data era, large amount of non-linear data makes conventional clustering algorithms methods no longer be applicable in this field alone. Facing high-time-resolution daily load data with strong non-linearity, we propose a new method to partition periods. It consists of an improved fuzzy c-means clustering algorithm and a correction method for abnormal periods. Firstly, we propose modified fuzzy membership functions to improve the initialization of clustering for operation efficiency. Secondly, the method for calculating the fuzzy parameters based on the loss function is given. Thirdly, the initial period partition is obtained by the improved clustering. Next, the recognition model and fuzzy subsethood-based correction model for abnormal periods are structed, then the corrected period partition is confirmed. Finally, the effectiveness of the proposed methods is verified by two daily load data with a time resolution of 5 minutes.

Initialization

10.22541/au.168786985.53538601/v1

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Smart Home Energy Management Optimization Method Considering Energy Storage and Electric Vehicle

IEEE Access (2019)

Xuan Hou Jun Wang Tao Huang Tao Wang Peng Wang

As the last link of an integrated future energy system, the smart home energy management system (HEMS) is critical for a prosumer to intelligently and conveniently manage the use of their domestic appliances, renewable energies (RES) generation, energy storage system (ESS), and electric vehicle (EV). In this paper, we propose a holistic model to center the preference of users when scheduling the involved physical equipment of different natures. Further, a dedicatedly designed charging and discharging strategy for both the ESS and EV considering their capital cost is proposed to integrate them into the HEMS for providing a better flexibility and economic advantages as well as to prolong the life of the batteries. Based on the mixed integer linear programming (MILP) and the proposed model, the energy schedule of the smart home can be derived to guarantee both the lowest cost and the comfort for the users. An illustrative case study is employed to demonstrate the effectiveness of the proposed method.

Energy management system

Capital cost

10.1109/access.2019.2944878

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Citations (135)

A New Control Strategy of Grid Connected Inverter Based on SOGI in Asymmetric Fault

Lecture notes in electrical engineering (2023)

Yiwei Ma Feng Qin Botao Huang Peng Wang

Harmonic

Three-phase

10.1007/978-981-99-0357-3_50

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Optimization method for grid forming control oriented to large-scale new energy grid connection

Journal of Physics Conference Series (2024)

Xianfu Gong Xun Lu Peng Wang

Abstract The integration of substantial new energy sources into the traditional AC power grid introduces several disturbances and failures. These include fluctuations in new energy output in the sending-end grid, high-power failures in AC/DC transmission channels, and DC commutation failures. These issues pose significant challenges to the transmission efficiency and stability of the grid, gradually revealing numerous limitations. To address these challenges, this paper presents an optimization method for grid forming control tailored to large-scale new energy integration. Firstly, a voltage source converter-multi-terminal direct current (VSC-MTDC) multi-margin droop control approach is introduced to optimize converter station operations and improve system responsiveness to changes in DC network power flow. Secondly, a VSC-oriented grid forming power flow optimization problem is formulated. Finally, an optimization method of grid forming control for new energy grid connection is presented, utilizing the jellyfish search algorithm to solve the optimization problem. Simulation results show that this approach effectively improves the system’s operational efficiency and stability.

Grid connection

10.1088/1742-6596/2917/1/012023

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Analysis of the Influence of the Spatial-Temporal Characteristics of Wind Power and Photovoltaics on the Economic Dispatch of Independent Microgrids

Lecture notes in electrical engineering (2023)

Peng Wang Ruibin Cao YE Wen-xian

Microgrid

Economic Dispatch

Robustness

Operating cost

10.1007/978-981-99-0451-8_76

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Vector control strategy for small-scale grid-connected PMSG wind turbine converter

Chunxue Wen Guojie Lu Peng Wang Zhengxi Li Xiong-Wei Liu

The purpose of this paper is to find an innovative, high efficiency, practical and low cost control system structure with an optimized control strategy for small-scale grid-connected wind turbine with direct-driven permanent magnet synchronous generator (PMSG). This research adopts the sensorless vector control strategy based on phase-locked loop (PLL) for PMSG control, and the grid-side inverter control strategy is based on the single-phase PLL. The simulation demonstrates that the sensorless control strategy and single-phase grid-side inverter control strategy are practical solutions for grid-connected PMSG wind turbines, and they can provide both generator speed control for optimized wind power tracking and good power quality control for electricity delivered to the grid. The designed system offers many unique advantages, including simple topology, optimized control strategy, cost-effective and fast respond to grid failures.

10.1109/isgteurope.2011.6162678

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Citations (14)

Peak‐valley period partition and abnormal time correction for time‐of‐use tariffs under daily load curves based on improved fuzzy c‐means

IET Generation Transmission & Distribution (2023)

Peng Wang Yiwei Ma Zhiqi Ling Genhong Luo

Abstract Peak‐valley period partition of load curve is a key aspect of time‐of‐use (ToU) tariff to improve power load characteristics, such as shifting peak loads towards valley time periods. Fuzzy clustering algorithm is an effective and popular method commonly used to solve the peak‐valley period partition of load curves, but it still encounters the difficulty of dividing some data within the boundary regions of different time periods. Therefore, this paper presents a peak‐valley period partition and abnormal time correction scheme for ToU tariffs under typical daily load curves based on improved fuzzy C‐means (FCM) clustering algorithm. In order to improve the accuracy of peak‐valley period partition, modified fuzzy membership functions are proposed to improve the initialization of FCM clustering, and a loss function‐based method is presented for calculating the fuzzy parameters of those membership functions. To resolve the problem of abnormal time partitioning within the boundaries of different time periods, an abnormal time period recognition model and a correction model based on fuzzy subsethood are proposed to obtain the final corrected peak‐valley time period partitioning results. On the MATLAB R2020b platform, the effectiveness of the proposed method is verified through two real daily load curves with a time resolution of 5 min.

Initialization

10.1049/gtd2.13052

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Citations (3)