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Sun Qiuye  - - - 
Top co-authors See all
Si Li

162 shared publications

Lin Zhao

158 shared publications

Xue Liang

64 shared publications

Northeastern University

Xiaochen Yang

41 shared publications

Huiming Xiong

9 shared publications

15
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Distribution of Articles published per year 
(2011 - 2018)
Total number of journals
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6
 
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BOOK-CHAPTER 1 Read 0 Citations Coordinated Power Management Control Strategy for Interconnected AC and DC Microgrids Qiuye Sun Published: 13 July 2018
Energy Internet and We-Energy, doi: 10.1007/978-981-13-0523-8_4
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This chapter investigates the issue of active power sharing among a cluster of microgrids formed by a set of ac and dc microgrids network-interconnected through a set of interlinking converters. First, we investigate the power sharing problem for two interconnected AC/DC microgrids. An appropriate control strategy is developed to control the interlinking converter (IC) to realize proportional power sharing between ac and dc microgrids, which includes two parts: the primary outer-loop dual-droop control method along with secondary control; the inner-loop data-driven model-free adaptive voltage control. Using the proposed scheme, the interlinking converter have the ability to regulate and restore the dc terminal voltage and ac frequency and the design of the controller is only based on input/output (I/O) measurement data but not the model any more. Second, we investigate the same problem for more than two microgrids connected by ICs. An event-based distributed consensus control approach is proposed to address this issue. We first construct the agent system for each IC and design its consensus control protocol, which uses a cooperative approach to indirectly adjust the active power load of individual microgrid. Then, an event-based control scheme is utilized to design the consensus protocol to reduce the communication between interlinking converters. The proposed distributed control method allows a sparse communication structure and higher reliability and flexibility operation. Simulation results are presented to demonstrate the proposed control method.
BOOK-CHAPTER 1 Read 0 Citations Control Strategy and Stability Analysis of Energy Router Qiuye Sun Published: 13 July 2018
Energy Internet and We-Energy, doi: 10.1007/978-981-13-0523-8_6
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This chapter introduces the structure of energy router in detail, deduction of the mathematical model of energy router, design of an energy management strategy and analyzation of the stability of energy router. By analyzing the mathematical model of the energy router, an optimal energy flow strategy is designed and the power exchange of each subsystem in the energy router is realized. The small signal model of the energy router is obtained and a new stability criterion is designed to judge the stability of the system.
BOOK-CHAPTER 0 Reads 0 Citations Distributed Coordinated Control for Energy Internet Qiuye Sun Published: 13 July 2018
Energy Internet and We-Energy, doi: 10.1007/978-981-13-0523-8_5
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With the consideration of the large-scale amount and the characteristics of the distributed renewable energy generation, how to achieve the proportional power-sharing among DGs is an important issue to guarantee the stability and safety of the Energy Internet. In this section, a multi-agent system-based distributed coordinated control scheme is studied, and the main content contains: (1) architecture of multiagent system-based distributed coordinated control for energy internet; (2) implementation of distributed coordinated control for energy internet; (3) analysis of circulating current and design of the primary energy agent based on nonlinear model of distributed generator; (4) design of distributed coordinated control strategy based on multi-agent consensus algorithm.
BOOK-CHAPTER 1 Read 0 Citations Distributed Optimal Energy Management for Energy Internet Qiuye Sun Published: 13 July 2018
Energy Internet and We-Energy, doi: 10.1007/978-981-13-0523-8_9
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In this chapter, a novel energy management framework for Energy Internet with many energy bodies is presented, which features multi-coupling of different energy forms, diversified energy roles and peer-to-peer energy supply/demand, etc. The energy body as an integrated energy unit, which may have various functionalities and play multiple roles at the same time, is formulated for the system model development. Forecasting errors, confidence intervals and penalty factor are also taken into account to model renewable energy resources to provide trade-off between optimality and possibility. Furthermore, a novel distributed-consensus alternating direction method of multipliers (ADMM) algorithm, which contains a dynamic average consensus algorithm and distributed ADMM algorithm, is presented to solve the optimal energy management problem of energy internet. The proposed algorithm can effectively handle the problems of power-heat-gas-coupling, global constraint limits and non-linear objective function. With this effort, not only the optimal energy market clearing price but also the optimal energy outputs/demands can be obtained through only local communication and computation. Simulation results are presented to illustrate the effectiveness of the proposed distributed algorithm.
BOOK-CHAPTER 0 Reads 0 Citations The Model and Energy Measurement of Energy Hub Qiuye Sun Published: 13 July 2018
Energy Internet and We-Energy, doi: 10.1007/978-981-13-0523-8_7
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This chapter proposes a new method to evaluate integrated energy systems which take full consideration of the utilization effect of renewable energy. Exergy analysis of multiple energy system is introduced from the perspective of quality of energy. A new power flow expression of energy hub contain storage is given in order to overcome the disadvantage of traditional power flow expression. This chapter also presents a novel droop control method of energy hubs which contain thermal and electric droop control method in a multiple energy system. The proposed energy hub droop control method can proportional allocate different energy hubs thermal and electric outputs according to the corresponding energy maximum output power of energy hubs to allow independent operation of the energy hubs and ensure the stability of the multiple energy system. The three-dimensional diagrams of energy hub droop control method is presented to integrally represent the relationship between systems parameters and the inputs of energy hub meanwhile solely represent the relationship between systems parameters and each input of energy hub that using proposed droop control method. Numerical simulations demonstrate the effectiveness of the proposed droop control method based on energy hub.
BOOK-CHAPTER 0 Reads 0 Citations We-Energy Modelling Qiuye Sun Published: 13 July 2018
Energy Internet and We-Energy, doi: 10.1007/978-981-13-0523-8_3
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In this chapter, a mechanism model of We-Energy based on its structure is proposed, which embodies the distinguishing features of bi-directional power transformation and energy coupling. A quaternary model of WE is established under steady and transient state, which can be divided into normal state, alert state, emergency state and recovery state. And the interaction process of quaternary model is described as Cyber-Physics-Economy-Energy. Simulation results validate that the proposed model is of high identification accuracy and has better generalization performance, and can effectively fit the state variation of each node of the whole system under different operation modes.