Guangdong Electrical Power Dispatching Center

Guangzhou, China

Guangdong Electrical Power Dispatching Center

Guangzhou, China
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Wen Y.F.,Zhejiang University | Wang Y.,Zhejiang University | Guo C.X.,Zhejiang University | Wu Q.H.,University of Liverpool | And 2 more authors.
IEEE Power and Energy Society General Meeting | Year: 2012

Traditional preventive control strategies do not take into account the likelihood of each potential contingency, thus the dispatch results may often be conservative or radical. Aiming to achieve a reasonable tradeoff between economy and security, this paper develops a risk-oriented preventive control (ROPC) strategy. A three-state weather model is introduced to reflect the impact of weather conditions on the failure rate of transmission lines. Using the multi-objective optimization (MO) method, system security level associated with overload risk can be controlled in advance. A distance based multi-objective particle optimization (DSMOPSO) algorithm is adopted to solve the MO problem. Simulation results obtained on a six-bus system are analyzed in comparison with OPF and PSCOPF to show that the proposed ROPC could provide a useful decision-making tool to keep an optimal balance between system operational cost and overload risk in different weather conditions. © 2012 IEEE.


Li X.,South China University of Technology | Cai Z.,South China University of Technology | Huang M.,Guangdong Electrical Power Dispatching Center | Liu Z.,Guangdong Electrical Power Dispatching Center | Li Y.,Guangdong Electrical Power Dispatching Center
Dianli Xitong Zidonghua/Automation of Electric Power Systems | Year: 2012

In view of the transient power converse leading to the malfunction of the protective relay in the AC/DC power grid, the mechanism of interaction of AC/DC systems and the change of AC fault features are studied in the electromagnetic transient time framework from the viewpoint of protective relaying. The HVDC commutation failure is analyzed. The evaluation method for and indices on the influence of the resolving analysis and fault feature variation on the protection performance are proposed in the electromagnetic transient process of commutation failure. Then the method of calculating the boundary of the transient power converse is presented. The transient power converse occurring in the AC/DC power grid is an inevitable result of electric competition and time sequence competition between the disturbance due to AC fault and that due to the rapid response of HVDC. Simulation results show the validity of the model and method proposed. © 2012 State Grid Electric Power Research Institute Press.


Ao L.,Zhejiang University | Wang H.,Zhejiang University | Zhang C.,Guangdong Electrical Power Dispatching Center | Li Y.,Guangdong Electrical Power Dispatching Center | He B.,Zhejiang University
Dianwang Jishu/Power System Technology | Year: 2014

Regarding to the problems existing in condition based maintenance decision-making, such problems as single target model, ignorance of the decision makers' expects, individual rather than group decision-making, a decision-making model employing D-S evidence theory was proposed in this paper. At first, a maintenance decision-making framework was established, as well as a complete decision index system summarized from numerous maintenance objectives and strains. And the indices' quantitative methods were given. Then the indices were taken as the theory's evidences, the maintenance schemes which were combined of the maintenance types based on the maintenance guidelines and time intervals partitioned by two weeks from equipment's predicted average remaining life based on its current state were taken as the recognition framework, while the standardized indices' values and the comprehensive weights of the indices and decision makers were normalized to the mass functions, multi-objective and group decision-making result was obtained then. Finally, a numerical example was used to illustrate the proposed decision-making process, which demonstrates that the model can effectively realize the control of the decision-making process considering the decision makers' intentions. All indicators can achieve overall optimum.


Li Y.Z.,South China University of Technology | Li M.S.,South China University of Technology | Wen B.J.,Guangdong Electrical Power Dispatching Center | Wu Q.H.,South China University of Technology | Wu Q.H.,University of Liverpool
IEEE Power and Energy Society General Meeting | Year: 2014

This paper presents the mean-variance (MV) model to solve power system dispatch problems with wind power integrated. In the MV model, the profit and the risk are taken into account simultaneously under the uncertain wind power (speed) environment. To describe this uncertain environment, the Monte Carlo (MC) simulation method is used to sample uncertain wind speeds. The optimization algorithm, group search optimizer (GSO), then optimize the MV model by introducing the risk tolerance parameter. The simulation is conducted based on the IEEE 30-bus power system, and the results demonstrate the applicability of the proposed model into power system dispatch problems with wind power integrated. © 2014 IEEE.


Chen J.,Chongqing University | Yan W.,Chongqing University | Lu J.,Guangdong Electrical Power Dispatching Center | Li S.,Chongqing University | And 2 more authors.
Dianli Xitong Zidonghua/Automation of Electric Power Systems | Year: 2011

Considering the problem of randomly changing estimated parameter values with the impact of measurement errors, a robust method for transformer reactance estimation is presented based on phasor measurement unit (PMU) or supervisory control and data acquisition (SCADA) system multi-period measurement information of three-winding transformer at three sides. Firstly, the transformer three sides' branch current phasor, neutral point voltage and reactance are regarded as state variables, the paper establishes the three-winding transformer multi-period PMU or SCADA measurement equations and corresponding extended least squares reactance estimation model, which can be solved by Gauss-Newton method. Secondly, the least squares estimated values of transformer reactance is regarded as the sample and the variance coefficient threshold of random sample as the convergence criterion, the average value of the transformer reactance's least squares estimated value by iterative calculation is obtained as the final estimated parameter values. Because the average estimation is used and the proper average samples are chosen, the proposed method has excellent superiority in robustness. With different load levels of a typical 500 kV three-winding transformer, the random characteristics of its parameter values obtained by least squares estimation is analyzed. The model and method proposed are also verified. © 2011 State Grid Electric Power Research Institute Press.


Yu J.,Chongqing University | Zhu L.,Chongqing University | Yan W.,Chongqing University | Zhao X.,Chongqing University | And 2 more authors.
Dianli Zidonghua Shebei/Electric Power Automation Equipment | Year: 2013

A method of static equivalence based on the measured information of internal network is proposed to estimate the equivalent network of external multi-port network and its parameters when its information is completely unknown. It adopts the two-stage estimation scheme to set the measuring equation of equivalent external network parameters and its two-stage least squares model according to the constraint relation between the equivalent parameters of external network and the internal network information, which is measured without the break-off of internal network branch, and then applies the least squares method to obtain the equivalent parameters of external multi-port network. The simulative results for IEEE 39-bus system and Guangdong Power Grid verify the correctness of the proposed method.


Yan W.,Chongqing University | Xiang B.,Chongqing University | Huang Z.-B.,Chongqing University | Lu J.-G.,Guangdong Electrical Power Dispatching Center | Li Q.,Guangdong Electrical Power Dispatching Center
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | Year: 2010

Making full use of block symmetric and sparse characteristics of information matrix, a fast state estimation method based on orthogonal list of block information matrix is proposed. Firstly, in order to facilitate the modification of information matrix, the equivalent current measurement transformation technique is used to transform power measurement equation into current measurement equivalently, making the off-diagonal elements of Jacobian matrix become constant. Secondly, the lower triangular block orthogonal list of block information is created, so that the efficiency of memory space operation and node optimizing code of information matrix is improved. Finally, based on the network node correlative relationship of measurement equation and information matrix, the measurement equations direct superaddition method of the formation and modification of information matrix is proposed. It avoids the access operation and calculation of jacobian matrix, and improves the efficiency of formation and modification of the information matrix and the efficiency of the creation of memory space of relevant orthogonal list. The rapidity of the proposed method is verified by the simulation test on IEEE118, IEEE300 and Poland2746 bus system.


Yan W.,Chongqing University | Song L.,Chongqing University | Yu J.,Chongqing University | Lu J.,Guangdong Electrical Power Dispatching Center | And 2 more authors.
Dianli Xitong Zidonghua/Automation of Electric Power Systems | Year: 2011

Existing methods can not effectively identify and estimate multiple erroneous parameters along with bad telemetry measurements, which is referred to as bad data for short. To solve this problem, a divisional identification and estimation method of network parameter errors based on weight function is presented. Firstly, the network is divided into radial network, simple meshed network and complex meshed network to form many independent subareas. Secondly, Lagrange identification approach is carried out to identify bad data in each subarea. Lastly, if a parameter is identified as erroneous in each subarea, a function weighted least squares (FWLS) augmented method is proposed to estimate its value. The interaction of bad data between different subareas is avoided and the effect of bad data during parameter estimation is inhibited by this method. Thus, the effectiveness of identifying multiple bad data and the accuracy of estimating erroneous parameter are improved. The validity of the method proposed is verified by simulations on the IEEE 30-bus system and IEEE 118-bus system. © 2011 State Grid Electric Power Research Institute Press.


Qiu J.,Zhejiang University | Wang H.,Zhejiang University | Chen Z.,Guangdong Electrical Power Dispatching Center | Zeng G.,Guangdong Electrical Power Dispatching Center | He B.,Zhejiang University
Dianli Xitong Zidonghua/Automation of Electric Power Systems | Year: 2013

According to the new characteristics of the smart substation automation system, a model for quantitatively evaluating the capacity effectiveness of the system in task fulfillment is proposed. The evaluation system composed of a physical network architecture, a logical network architecture, and the information flow, or the 'two networks one flow' platform for short is set up firstly. The effectiveness is defined as the total index which involves reliability, availability, real time and economy in the index system. Then, an analytic network process (ANP) model is developed to describe the complex relationships of influencing factors and calculate the network synthetic rank by the weighting, test and modulation of judgment matrixes. Finally, the stability of the ANP evaluation model and the credibility of scheme rank are tested by the ANP sensitivity analytical method to help evaluation decision-making. © 2013 State Grid Electric Power Research Institute Press.


Yan W.,Chongqing University | Li S.,Chongqing University | Chen J.,Chongqing University | Lu J.,Guangdong Electrical Power Dispatching Center | And 2 more authors.
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | Year: 2011

In order to solve the problem of external network static equivalent parameter estimation effectively, in the case of lacking the information of external network, this paper presents an extended voltage-source-branch ward-equivalent-circuit model (EWM) of external network and it's equivalent parameters' two-stage estimation method. In the first stage, regarded the equivalent injections at the boundary busses and equivalent admittance between the boundary busses as the equivalent parameters, the simplified ward equivalent circuit of two-port external network was constructed and N-time least squares estimation model of equivalent parameters was built. In the second stage, the EWM was formed by changing the equivalent injections at the boundary busses into their equivalent branches. Then least squares estimation model of EWM's parameters was established, considering the relations of the two equivalent circuit parameters. Finally, Gauss-Newton method was applied to get the equivalent parameters of the first and second stage equivalent parameters, and make the latter as the equivalent parameters of the external network. Owing to the restriction effect of the first stage equivalent parameters, the coupling effect among the EWM parameters decreases and the accuracy of equivalent parameter estimations is guaranteed. The test on IEEE 39 bus system verified the correctness of this paper's method. © 2011 Chinese Society for Electrical Engineering.

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