-
1.
公开(公告)号:US20250077729A1
公开(公告)日:2025-03-06
申请号:US18034035
申请日:2022-03-29
Applicant: SOUTHEAST UNIVERSITY , Yunman Power Grid Co., Inc.
IPC: G06F30/20 , G06F113/06 , G06Q50/06 , G06Q50/08 , H02J3/00
Abstract: The present invention describes an electric-thermal-hydrogen multi-energy device planning method for zero energy buildings, including the following specific steps: firstly, constructing operation constraints of electric and thermal devices in the zero energy buildings; secondly, constructing operation constraints of hydrogen devices including the electrolyzer, the fuel cell and the hydrogen storage device; then, in view of constraints on annual zero energy of the buildings, establishing the robust electric-thermal-hydrogen multi-energy device planning model considering source-load uncertainties; and finally, solving the robust electric-thermal-hydrogen multi-energy device planning model of the zero energy buildings by adopting an alternating optimization procedure based column-and-constraint generation algorithm. By using the zero energy buildings, the planning method disclosed by the present disclosure plays important roles in aspects of promoting the development and utilization of renewable energy on the demand side, reducing energy consumption in the field of buildings, and reducing the emission of greenhouse gases.
-
公开(公告)号:US20180358840A1
公开(公告)日:2018-12-13
申请号:US16107932
申请日:2018-08-21
Applicant: SOUTHEAST UNIVERSITY
Inventor: Wei GU , Guannan LOU , Suyang ZHOU , Zhi WU , Ge CAO
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.
-
公开(公告)号:US20230052730A1
公开(公告)日:2023-02-16
申请号:US17978149
申请日:2022-10-31
Applicant: SOUTHEAST UNIVERSITY
Inventor: Wei GU , Shan SONG , Suyang ZHOU , Zhi WU
Abstract: A method for predicting the operation state of a power distribution network based on scene analysis is provided, comprising the following steps of step 10) obtaining the network structure and historical operation information of a power distribution system; step 20) extracting representative scene sequence fragments of output of the DGs according to historical output sequences of the DGs; step 30) obtaining a multi-scene prediction result of a future single-time section T0 through matching the historical similar scenes; step 40) establishing a future multi-time section operation scene tree; and step 50) deeply traversing all scenes in the future multi-time section operation scene tree, performing power distribution network load flow analysis for each scene, calculating the line current out-of-limit risk and the busbar voltage out-of-limit risk of the power distribution network, and obtaining a future operation state variation tendency of the power distribution network with the DGs.
-
4.
公开(公告)号:US20200212710A1
公开(公告)日:2020-07-02
申请号:US16639744
申请日:2018-04-27
Applicant: SOUTHEAST UNIVERSITY
Inventor: Wei GU , Shan SONG , Suyang ZHOU , Zhi WU
Abstract: A method for predicting the operation state of a power distribution network based on scene analysis is provided, comprising the following steps of step 10) obtaining the network structure and historical operation information of a power distribution system; step 20) extracting representative scene sequence fragments of output of the DGs according to historical output sequences of the DGs; step 30) obtaining a multi-scene prediction result of a future single-time section T0 through matching the real time scene with historical similar scenes; step 40) establishing a future multi-time section operation scene tree; and step 50) deeply traversing all scenes in the future multi-time section operation scene tree, performing power distribution network load flow analysis for each scene, calculating the line current out-of-limit risk and the busbar voltage out-of-limit risk of the power distribution network, and obtaining a future operation state variation tendency of the power distribution network with the DGs.
-
5.
公开(公告)号:US20230369852A1
公开(公告)日:2023-11-16
申请号:US18029973
申请日:2022-04-09
Applicant: Southeast University , ELECTRIC POWER RESEARCH INSTITUTE OF YUNNAN POWER GRID CO., LTD. , YUNNAN POWER GRID CO., LTD.
Inventor: Pengxiang LIU , Zhi WU , Hai LU , Wei GU , Yuping LU , Enbo LUO , Dada WANG , Qirun SUN , Hao ZHANG
IPC: H02J3/00
CPC classification number: H02J3/00 , H02J2203/20
Abstract: A method for calculating an optimal energy flow of an integrated electricity-gas system comprises: a convex optimization part of an optimal energy flow model is established according to a fuel cost of each thermal power unit node and a gas supply cost of each nature gas source node, and a convex relaxation formula of a quadratic constraint of the optimal energy flow model is established, and a convex function is expanded by a first order Taylor expansion at a relaxation solution to form an expansion formula; a precision requirement threshold value of a non-convex constraint is given, the threshold value is compared with an unbalance magnitude of a non-convex constraint in the expansion formula; when the unbalance magnitude is greater than the threshold value, the expansion is iterated into a solution model of the integrated electricity-gas hybrid energy system until the unbalance magnitude is not greater than the threshold value.
-
6.
公开(公告)号:US20190074691A1
公开(公告)日:2019-03-07
申请号:US15763733
申请日:2016-12-16
Applicant: SOUTHEAST UNIVERSITY
Inventor: Wei GU , Ge CAO , Wei LIU , Zhi WU , Suyang ZHOU , Guannan LOU
Abstract: The invention discloses a general distributed control method for multi-microgrids with both PQ controlled and droop controlled distributed generators, which comprises the following steps of: step 10) conducting primary control to maintain the power balance of the multi-microgrids; step 20) determining predefined group consensus values of pinned agents; step 30) seeking group consensus among other agents and the pinned agents through communication coupling; and step 40) adjusting output powers to complete secondary control. Based on pinning control, the control method which adopts hierarchical control is a distributed control method for distributed power supply clusters with two control modes comprising PQ control and droop control. The method obviates the requirements for a central controller and complex communication topologies, reduces the number of the controllers, can be adapted to the communication topology changes in the multi-microgrids, and meets the plug-and-play requirement for the distributed power supply.
-
公开(公告)号:US20180356105A1
公开(公告)日:2018-12-13
申请号:US16107958
申请日:2018-08-21
Applicant: SOUTHEAST UNIVERSITY
Inventor: Wei GU , Chenyu WU , Zhi WU , Suyang ZHOU , Ping JIANG
CPC classification number: F24D19/1048 , F24D3/02 , F24D3/1075 , F24D12/02 , F24D13/00 , F24D2200/08 , F24D2200/15 , F24D2200/32 , G05B17/02 , H02J3/46 , H02J2003/007
Abstract: A CHP optimal dispatching model is a mixed integer programming model and is used for a district heating system (DHS) comprising a heat source, a heating network and a heat load, and the heating network comprises a heat transmission network and a heat distribution network. A plurality of heating areas is divided, and one day is divided into a plurality of time periods; the heat transmission loss of the heat distribution network is omitted, and a heat transmission network model taking transmission time delay of the heating network into consideration is established according to the heat transmission network; a terminal heat consumer model capable of reflecting indoor temperature is established; and a combined optimal dispatching model comprising conventional generators, wind power units, CHP units, electric boilers and heat storage tanks is established.
-
-
-
-
-
-