公开(公告)号：US10404065B2

公开(公告)日：2019-09-03

申请号：US15552189

申请日：2016-12-16

Applicant: SOUTHEAST UNIVERSITY

Inventor： Wei Gu ,  Guannan Lou ,  Ming Chen ,  Wei Liu ,  Shuai Xue ,  Ge Cao

IPC: H02J3/12 ,  H02J3/18 ,  H02J3/38 ,  H02J3/14 ,  H02J3/40

Abstract: A distributed predictive control based voltage restoration scheme for microgrids, comprising: step 10) adopting a distributed finite time observer to acquire the global reference voltage for restoring the voltage of each local controller; step 20) each local controller adopts a droop control to acquire the local voltage value of each generation, and adds a secondary voltage compensation term into the droop characteristic formula to form the voltage reference value of a distributed generation; step 30) establishing a trended prediction model; step 40) acquiring a predictive control term at a current time as the secondary voltage compensation command, and acting on the local controllers; and step 50) determining, whether the local voltage of each distributed generation of the microgrid reaches the voltage reference value under the secondary voltage compensation command.

公开(公告)号：US11588706B2

公开(公告)日：2023-02-21

申请号：US17283257

申请日：2020-04-02

Applicant: SOUTHEAST UNIVERSITY

Inventor： Guannan Lou ,  Yinqiu Hong ,  Wei Gu ,  Xiaoyu Jiang ,  Shanlin Li ,  Quan Yang ,  Lina Sheng

IPC: H04L41/12 ,  H04L41/14 ,  H02J13/00

Abstract: A method for designing a distributed communication topology of a micro-grid based on network mirroring and global propagation rates includes the following steps: first, determining the communication connectivity of distributed directed networks in the micro-grid; next, obtaining, for connected directed communication networks, mirror networks thereof based on a mirroring operation, and selecting an optimal distributed directed communication topology corresponding to a maximum performance indicator based on algebraic connectivity and communication costs; solving, for the optimized distributed communication topology, pinned distributed generation sets corresponding to different pinning numbers based on global propagation rates and out-degrees; and finally, establishing a distributed secondary voltage control of the micro-grid based on the optimal distributed communication network and pinned nodes of the micro-grid, to achieve accurate reactive power sharing and average voltage restoration.

公开(公告)号：US11016455B2

公开(公告)日：2021-05-25

申请号：US16477174

申请日：2018-01-29

Applicant: SOUTHEAST UNIVERSITY

Inventor： Wei Gu ,  Shuai Lu ,  Guannan Lou ,  Jun Wang ,  Suyang Zhou

IPC: G05B19/042

Abstract: Disclosed is an integrated energy system operational optimization method considering thermal inertia of district heating networks and buildings, comprising the following steps. Step 10: respectively establish a district heating network model considering transmission delay and heat loss and a building model considering thermal storage capacity. Step 20: establish an integrated energy system optimization model consisting of a combined cooling, heat and power system model, the district heating network model and the building model. Step 30: solve the integrated energy system optimization model to obtain an optimal scheduling plan, control outputs of a gas turbine and a gas boiler per hour according to the optimal scheduling plan, and purchase electricity from a power grid and a wind power. According to the method, both the district heating network and buildings are included in a scheduling scope, so that the load adjustment with multiple degrees of freedom can be achieved.

公开(公告)号：US10756569B2

公开(公告)日：2020-08-25

申请号：US16107932

申请日：2018-08-21

Applicant: SOUTHEAST UNIVERSITY

Inventor： Wei Gu ,  Guannan Lou ,  Suyang Zhou ,  Zhi Wu ,  Ge Cao

IPC: H02J13/00 ,  H02J3/38 ,  H02M7/217 ,  H02J3/12 ,  G05B17/02 ,  H02M1/44

Abstract: A decentralized voltage control method for a microgrid based on nonlinear state observers, comprising the steps of step 10), establishing a large-signal model of distributed generations, a connection network and impedance-type loads in the microgrid; step 20), establishing a Luenberger-like nonlinear state observer for each distributed generation; step 30), estimating the dynamic characteristics of other distributed generations in real time based on the local measured values of each distributed generation; and step 40), implementing the decentralized voltage control based on the control requirements of reactive power sharing and voltage restoration. The control method realizes the voltage control of microgrid based on the decentralized state observers, which does not rely on communication transmission or remote measurement and avoids the adverse effects of communication latency and data drop-out on the control performance.