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Xiaodong Chu
Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University, 17923 Jingshi Road, Jinan 250061, China

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Journal article
Published: 14 September 2020 in Energies
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Active distribution networks (ADNs) provide a flexible platform to integrate various distributed generation sources, among which the intermittent renewable sources impose high operating uncertainty. Topological flexibility of ADNs should be exploited to counter the stochastic operating conditions by modifying the topologies of ADNs. Quantifying the topological flexibility is a vital step to utilize it, which is lacking in previous studies. A quantification method is proposed to measure the topological flexibility of ADNs in this paper. First, the community structures of ADNs are detected to achieve spatial partitions of the networks. Second, an improved spectral clustering algorithm is employed to significantly reduce the dimensionality of the partition space, in which the ADNs are further partitioned using the affinity propagation algorithm. Finally, a topological flexibility metric is defined based on the guiding role of sectionalizing and tie switches within and between communities. The proposed topological flexibility quantification method is a superb approach to the utilization of flexibility resources in distribution networks. Case study results of test ADNs demonstrate the effectiveness and efficiency of the proposed quantification method.

ACS Style

Huizi Gu; Xiaodong Chu. Quantifying Topological Flexibility of Active Distribution Networks Based on Community Detection. Energies 2020, 13, 4786 .

AMA Style

Huizi Gu, Xiaodong Chu. Quantifying Topological Flexibility of Active Distribution Networks Based on Community Detection. Energies. 2020; 13 (18):4786.

Chicago/Turabian Style

Huizi Gu; Xiaodong Chu. 2020. "Quantifying Topological Flexibility of Active Distribution Networks Based on Community Detection." Energies 13, no. 18: 4786.

Proceedings article
Published: 01 August 2018 in 2018 IEEE Power & Energy Society General Meeting (PESGM)
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With the amount of PV units, ESS units and other controllable resources increase, distribution grids are no longer just absorbing power and energy from transmission grids but get involved in the operation even help to sustain the stability of top level under heavy load. However, transmission and distribution grids usually operate from their own respective and it is difficult to coordinate the integrate systems with few information at the coupling point. In this paper, a reactive power coordination scheme is proposed to make a full use of the controllable resources in distribution grids to mitigate the power requirement and embody transmission grid as a role of strong supporter when need. Simulation results on a 30-bus connecting with three 33-bus system demonstrate the effectiveness and practicality of the proposed coordination scheme.

ACS Style

Yu Yi; Xiaodong Chu; Yutian Liu. Activating Reactive Power Support from Active Distribution Systems. 2018 IEEE Power & Energy Society General Meeting (PESGM) 2018, 1 -5.

AMA Style

Yu Yi, Xiaodong Chu, Yutian Liu. Activating Reactive Power Support from Active Distribution Systems. 2018 IEEE Power & Energy Society General Meeting (PESGM). 2018; ():1-5.

Chicago/Turabian Style

Yu Yi; Xiaodong Chu; Yutian Liu. 2018. "Activating Reactive Power Support from Active Distribution Systems." 2018 IEEE Power & Energy Society General Meeting (PESGM) , no. : 1-5.

Journal article
Published: 22 June 2018 in Energies
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A DC power support strategy utilizes the flexibility of a High-voltage direct-current (HVDC) system in power modulation to optimize the operating point or compensate the power imbalance caused by a disturbance. The major impediment to the strategy is the difficulty in maintaining DC voltage values at converter stations during the process of DC power support. To overcome the difficulty, a coordinated DC power support strategy for multi-infeed HVDC systems is proposed in this paper. Synchronous condensers are employed to provide dynamic reactive power compensation in sustaining DC voltage values at converter stations. Models are built for the optimal leading phase operation and adjusting excitation voltage reference value of synchronous condensers. Multiple HVDC links are coordinated to participate by using the DC power support factor to rank and select the links. Optimal DC power support values of the participating HVDC links are obtained with a comprehensive stability margin index that accounts for transient stability of the sending-end systems and frequency security of the receiving-end systems. An optimal load shedding model is used to ensure the frequency security of receiving-end systems. Case study results of a provincial power system in China demonstrate the effectiveness and performance of the proposed DC power support strategy.

ACS Style

Chunlei Zhang; Xiaodong Chu; Bing Zhang; Linlin Ma; Xin Li; Xiaobo Wang; Liang Wang; Cheng Wu. A Coordinated DC Power Support Strategy for Multi-Infeed HVDC Systems. Energies 2018, 11, 1637 .

AMA Style

Chunlei Zhang, Xiaodong Chu, Bing Zhang, Linlin Ma, Xin Li, Xiaobo Wang, Liang Wang, Cheng Wu. A Coordinated DC Power Support Strategy for Multi-Infeed HVDC Systems. Energies. 2018; 11 (7):1637.

Chicago/Turabian Style

Chunlei Zhang; Xiaodong Chu; Bing Zhang; Linlin Ma; Xin Li; Xiaobo Wang; Liang Wang; Cheng Wu. 2018. "A Coordinated DC Power Support Strategy for Multi-Infeed HVDC Systems." Energies 11, no. 7: 1637.

Journal article
Published: 06 June 2018 in Energies
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A controlled islanding strategy should be carefully designed to prevent power systems from overall collapse caused by extremely serious faults, which is of high computational complexity for large-scale AC/DC power systems. An efficient controlled islanding strategy for large-scale AC/DC power systems is proposed in this paper. The original power system is first reduced to decrease the computational complexity. The reduced power system is then partitioned into a number of dispatch areas by using the breadth-first search algorithm. Next, the reduced power system is recovered to obtain the detailed information of the dispatch areas. The spectral clustering algorithm is used to cluster the large number of dispatch areas into a small number of islanding areas. Finally, the controlled islanding strategy is verified by assessing the steady and dynamic performance of the power system. The feasibility, efficacy, and adaptability of the controlled islanding strategy are demonstrated by the case study of a large-scale multi-infeed AC/DC power system in China.

ACS Style

Changcheng Song; Xiaodong Chu; Linlin Ma; Xiaobo Wang; Xin Li; Liang Wang; Bing Zhang; Cheng Wu. An Efficient Controlled Islanding Strategy for Large-Scale AC/DC Power Systems. Energies 2018, 11, 1483 .

AMA Style

Changcheng Song, Xiaodong Chu, Linlin Ma, Xiaobo Wang, Xin Li, Liang Wang, Bing Zhang, Cheng Wu. An Efficient Controlled Islanding Strategy for Large-Scale AC/DC Power Systems. Energies. 2018; 11 (6):1483.

Chicago/Turabian Style

Changcheng Song; Xiaodong Chu; Linlin Ma; Xiaobo Wang; Xin Li; Liang Wang; Bing Zhang; Cheng Wu. 2018. "An Efficient Controlled Islanding Strategy for Large-Scale AC/DC Power Systems." Energies 11, no. 6: 1483.

Conference paper
Published: 01 January 2018 in IOP Conference Series: Earth and Environmental Science
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Dynamic demand response (DDR) is a package of control methods to enhance power system security. A CPS modelling and simulation platform for DDR in distribution power systems is presented in this paper. CPS modelling requirements of distribution power systems are analyzed. A coupled CPS modelling platform is built for assessing DDR in the distribution power system, which combines seamlessly modelling tools of physical power networks and cyber communication networks. Simulations results of IEEE 13-node test system demonstrate the effectiveness of the modelling and simulation platform.

ACS Style

Xiaodong Chu; Rongxiang Zhang; Maosen Tang; Haoyi Huang; Lei Zhang. Cyber Physical System Modelling of Distribution Power Systems for Dynamic Demand Response. IOP Conference Series: Earth and Environmental Science 2018, 111, 012029 .

AMA Style

Xiaodong Chu, Rongxiang Zhang, Maosen Tang, Haoyi Huang, Lei Zhang. Cyber Physical System Modelling of Distribution Power Systems for Dynamic Demand Response. IOP Conference Series: Earth and Environmental Science. 2018; 111 (1):012029.

Chicago/Turabian Style

Xiaodong Chu; Rongxiang Zhang; Maosen Tang; Haoyi Huang; Lei Zhang. 2018. "Cyber Physical System Modelling of Distribution Power Systems for Dynamic Demand Response." IOP Conference Series: Earth and Environmental Science 111, no. 1: 012029.

Conference paper
Published: 12 December 2016 in 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)
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LED lighting loads are of flexible controllability to be a viable alternative for participating in power system frequency regulation. In this paper, a decentralized control strategy is proposed to facilitate the active participation of LED lighting loads. Each LED load responds to local frequency signal independently. The aggregation of response is conducted on the basis of appropriate categorization of LED loads, which contributes to the primary and secondary frequency regulation. Simulation results verify the effectiveness of the proposed control strategy.

ACS Style

Ke Xiao; Xiaodong Chu; Yutian Liu. LED lighting loads actively participating in power system frequency regulation. 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) 2016, 1 -5.

AMA Style

Ke Xiao, Xiaodong Chu, Yutian Liu. LED lighting loads actively participating in power system frequency regulation. 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT). 2016; ():1-5.

Chicago/Turabian Style

Ke Xiao; Xiaodong Chu; Yutian Liu. 2016. "LED lighting loads actively participating in power system frequency regulation." 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) , no. : 1-5.

Conference paper
Published: 01 July 2016 in 2016 IEEE Power and Energy Society General Meeting (PESGM)
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With the large-scale integration of the intermittent energy resources, the reserve requirements increase greatly in order to enhance the economic and secure operation of power systems. Controllable load can actively participate in power balance control, which has positive influence on the power system economic operation. The market penetration of LED is forecast using Markov chains. The LED loads are classified as four categories based on the operation modes and then aggregated by Monte Carlo simulations. By setting different illuminances of LED limited by users' satisfaction, reserve capacities provided by LED loads are evaluated. Simulation results according to China solid state lighting alliance (CSA) data demonstrate that large-scale utilization of controllable LED loads will lead to significant potentials of demand-side reserve.

ACS Style

Liqiang Gao; Wen Zhang; Xiaodong Chu. Reserve capacity assessment of LED lighting loads. 2016 IEEE Power and Energy Society General Meeting (PESGM) 2016, 1 -5.

AMA Style

Liqiang Gao, Wen Zhang, Xiaodong Chu. Reserve capacity assessment of LED lighting loads. 2016 IEEE Power and Energy Society General Meeting (PESGM). 2016; ():1-5.

Chicago/Turabian Style

Liqiang Gao; Wen Zhang; Xiaodong Chu. 2016. "Reserve capacity assessment of LED lighting loads." 2016 IEEE Power and Energy Society General Meeting (PESGM) , no. : 1-5.

Journal article
Published: 20 May 2016 in Energy and Buildings
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In commercial buildings, lighting constitutes a large proportion of energy consumption. Saving lighting energy in commercial buildings has aroused great interest among researchers. Achieving energy savings and satisfying lighting comfort are the two primary objectives in designing a lighting system. In this paper, a fuzzy logic controller was designed that considered daylight, movement information and lighting comfort. The DALI protocol was used to communicate the controller with LED luminaires. The simulation results demonstrate that lighting system without control can provide sufficient illumination. The lighting system provides wider controllability to make lighting environment operating at the most energy-saving state. The experimental results show that by using the designed controller, significant lighting energy can be saved. The office where the smart LED lighting system is installed can regulate lighting output automatically based on users’ movements and allow users to choose their own lighting preferences.

ACS Style

Jingyu Liu; Wen Zhang; Xiaodong Chu; Yutian Liu. Fuzzy logic controller for energy savings in a smart LED lighting system considering lighting comfort and daylight. Energy and Buildings 2016, 127, 95 -104.

AMA Style

Jingyu Liu, Wen Zhang, Xiaodong Chu, Yutian Liu. Fuzzy logic controller for energy savings in a smart LED lighting system considering lighting comfort and daylight. Energy and Buildings. 2016; 127 ():95-104.

Chicago/Turabian Style

Jingyu Liu; Wen Zhang; Xiaodong Chu; Yutian Liu. 2016. "Fuzzy logic controller for energy savings in a smart LED lighting system considering lighting comfort and daylight." Energy and Buildings 127, no. : 95-104.

Conference paper
Published: 01 November 2015 in 2015 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA)
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With huge penetration of distributed generators (DGs), distribution systems become more and more active and flexible. To accommodate DGs in a much more optimal way, cooperation between transmission networks and distribution networks, even distribution networks and distribution networks, should be further strengthened. A cooperative sequential reconfiguration method is proposed in this paper, which is designed to achieve the optimization of multiple distribution networks in a coordinated way rather than in an isolated way. The global power flow is calculated to reflect interactions among various networks. A sequencing index is introduced for guiding distribution networks to be reconfigured sequentially, which is based on the absolute value of voltage variation at boundary nodes. Reconfiguration for each distribution network is implemented by using the improved optimal flow pattern algorithm. The effectiveness of the proposed method is verified by the simulation results with total active power loss reduction and voltage quality improvement.

ACS Style

Zhenyu Du; Xiaodong Chu; Wen Zhang. Cooperative sequential reconfiguration for distribution networks. 2015 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA) 2015, 1 -6.

AMA Style

Zhenyu Du, Xiaodong Chu, Wen Zhang. Cooperative sequential reconfiguration for distribution networks. 2015 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA). 2015; ():1-6.

Chicago/Turabian Style

Zhenyu Du; Xiaodong Chu; Wen Zhang. 2015. "Cooperative sequential reconfiguration for distribution networks." 2015 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA) , no. : 1-6.

Journal article
Published: 28 September 2015 in Energies
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Air conditioners have great potential to participate in power system frequency control. This paper proposes a control strategy to facilitate the active participation of air conditioners. For each air conditioner, a decentralized control law is designed to adjust its temperature set point in response to the system frequency deviation. The decentralized control law accounts for the user’s thermal comfort that is evaluated by a fuzzy algorithm. The aggregation of air conditioners’ response is conducted by using the Monte Carlo simulation method. A structure preserving model is applied to the multi-bus power system, in which air conditioners are aggregated at certain load buses. An inner-outer iteration scheme is adopted to solve power system dynamics. An experiment is conducted on a test air conditioner to examine the performance of the proposed decentralized control law. Simulation results on a test power system verify the effectiveness of the proposed strategy for air conditioners participating in frequency control.

ACS Style

Rongxiang Zhang; Xiaodong Chu; Wen Zhang; Yutian Liu. Active Participation of Air Conditioners in Power System Frequency Control Considering Users’ Thermal Comfort. Energies 2015, 8, 10818 -10841.

AMA Style

Rongxiang Zhang, Xiaodong Chu, Wen Zhang, Yutian Liu. Active Participation of Air Conditioners in Power System Frequency Control Considering Users’ Thermal Comfort. Energies. 2015; 8 (10):10818-10841.

Chicago/Turabian Style

Rongxiang Zhang; Xiaodong Chu; Wen Zhang; Yutian Liu. 2015. "Active Participation of Air Conditioners in Power System Frequency Control Considering Users’ Thermal Comfort." Energies 8, no. 10: 10818-10841.

Conference paper
Published: 01 December 2014 in 2014 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)
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A robust measurement system can take account of the influence on Distribution System State Estimation (DSSE) caused by network reconfiguration. This paper proposes an optimization algorithm to determine the number and position of the measurement devices separately. The concept of measurement saturation is proposed, and the position of measurement devices is determined based on a heuristic algorithm constrained by the saturate number. Both network reconfiguration and the uncertainties introduced by the measurements are taken into account. The probabilities of different network configurations are given by Markov chain, and the uncertainties introduced by the measurements are simulated by Monte Carlo algorithm. The results obtained on IEEE33-bus system demonstrate that saturate number is usually one third of the number of nodes for a system, and the robust measurement placement method considering different network configurations can improve the precision of DSSE.

ACS Style

Hong Wang; Zongying Feng; Xiaodong Chu; Wen Zhang. A robust measurement placement method in distribution system state estimation. 2014 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) 2014, 1 -6.

AMA Style

Hong Wang, Zongying Feng, Xiaodong Chu, Wen Zhang. A robust measurement placement method in distribution system state estimation. 2014 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC). 2014; ():1-6.

Chicago/Turabian Style

Hong Wang; Zongying Feng; Xiaodong Chu; Wen Zhang. 2014. "A robust measurement placement method in distribution system state estimation." 2014 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) , no. : 1-6.

Journal article
Published: 01 November 2014 in Electric Power Systems Research
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ACS Style

Yan Zhang; Wen Zhang; Xiaodong Chu; Yutian Liu. Real-time optimal voltage control using measurement-based aggregate load model. Electric Power Systems Research 2014, 116, 293 -300.

AMA Style

Yan Zhang, Wen Zhang, Xiaodong Chu, Yutian Liu. Real-time optimal voltage control using measurement-based aggregate load model. Electric Power Systems Research. 2014; 116 ():293-300.

Chicago/Turabian Style

Yan Zhang; Wen Zhang; Xiaodong Chu; Yutian Liu. 2014. "Real-time optimal voltage control using measurement-based aggregate load model." Electric Power Systems Research 116, no. : 293-300.

Conference paper
Published: 01 October 2014 in 2014 International Conference on Power System Technology
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Controllable load can actively participate in power balance control, which will have positive impact on power system operation. Lighting load takes a significant proportion in the electricity demand. Many features of Light emitting diodes (LEDs), small size, high luminous efficiency and long lifetime, make them very attractive for use in lighting. An Artificial Neural Network (ANN) control strategy is designed for LED luminance control in response to power system frequency. The pulse width modulation (PWM) dimming method is used to realize luminance control of LED. In order to regulate the LED power demand in response to frequency measurement signal, the ANN control strategy adjusts the ratio between the on-time and off-time of the PWM dimming signal of LED. Simulations are conducted to verify the effectiveness of the proposed the ANN control strategy.

ACS Style

Liqiang Gao; Zhongkang Wei; Xiaodong Chu; Wen Zhang. An ANN strategy for luminance control of LED in response to power system frequency. 2014 International Conference on Power System Technology 2014, 2007 -2012.

AMA Style

Liqiang Gao, Zhongkang Wei, Xiaodong Chu, Wen Zhang. An ANN strategy for luminance control of LED in response to power system frequency. 2014 International Conference on Power System Technology. 2014; ():2007-2012.

Chicago/Turabian Style

Liqiang Gao; Zhongkang Wei; Xiaodong Chu; Wen Zhang. 2014. "An ANN strategy for luminance control of LED in response to power system frequency." 2014 International Conference on Power System Technology , no. : 2007-2012.

Conference paper
Published: 01 October 2014 in 2014 International Conference on Power System Technology
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A practical approach to long-term power system dynamics analysis should make a trade-off between result precision and time consumption. To address the time consuming issue of full scale numerical integration, an analysis method is proposed which tracks system evolving states interwoven by continuous dynamics and discrete events. Feasible operating states are solved by using temporal power flow (TPF) routines, which are convergent points of fast dynamics. TPF is driven by load growth that is embedded into the time horizon. Events are triggered and time stamped during the TPF routines, which involves OLTCs, exciter limiters and branch load encroachment, etc. Upon detecting instability or collapse, the routines are stopped. Simulation results on the New England 39-bus system verify the effectiveness of the proposed method.

ACS Style

Chao Wang; Xiaodong Chu; Wen Zhang. Long-term power system dynamics analysis by time stamping on events sequence. 2014 International Conference on Power System Technology 2014, 324 -329.

AMA Style

Chao Wang, Xiaodong Chu, Wen Zhang. Long-term power system dynamics analysis by time stamping on events sequence. 2014 International Conference on Power System Technology. 2014; ():324-329.

Chicago/Turabian Style

Chao Wang; Xiaodong Chu; Wen Zhang. 2014. "Long-term power system dynamics analysis by time stamping on events sequence." 2014 International Conference on Power System Technology , no. : 324-329.

Conference paper
Published: 01 October 2014 in 2014 International Conference on Power System Technology
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In this paper a coordinated control strategy of air-conditioning load groups is proposed to help correct imbalances between load and generation, especially when the power system is under stressed conditions such as the loss of power generation. Firstly, a decentralized air-conditioning load group control strategy (control mode 1) is presented accounting for maintenance of load diversity, so that the large oscillations of aggregated power of load group caused by diversity loss can be avoided. However, there is an unwanted parasitic "power peak" in the control mode 1. To eliminate the negative effects of the "power peak", another load control strategy (control mode 2) is borrowed from the literature which requires to communicate with the control center. Both of the control modes 1 and 2 adopt a segmental load recovery scheme to avoid "recovery peak". Then, a coordinated load control strategy is presented to coordinate the control modes 1 and 2. The "power peak" in control mode 1 is used as the power control objective for the load group of the control mode 2, and the control signal for control mode 2 can be calculated using the dichotomy method. Simulation results verify the effectiveness of the proposed coordinated control strategy of air-conditioning loads for power system balancing.

ACS Style

Meng Liu; Zhongkang Wei; Xiaodong Chu; Wen Zhang. Coordinated control strategy of air-conditioning loads for power system balancing. 2014 International Conference on Power System Technology 2014, 1802 -1807.

AMA Style

Meng Liu, Zhongkang Wei, Xiaodong Chu, Wen Zhang. Coordinated control strategy of air-conditioning loads for power system balancing. 2014 International Conference on Power System Technology. 2014; ():1802-1807.

Chicago/Turabian Style

Meng Liu; Zhongkang Wei; Xiaodong Chu; Wen Zhang. 2014. "Coordinated control strategy of air-conditioning loads for power system balancing." 2014 International Conference on Power System Technology , no. : 1802-1807.

Conference paper
Published: 01 August 2014 in 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)
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In this paper, a decentralized load control scheme for power system frequency regulation is proposed. This scheme is on the use of thermal energy storage capacity in thermostatically controlled loads (TCLs) considering consumers' thermal comfort. A fuzzy algorithm is applied to the evaluation of consumers' comfort level, in which temperature and relative humidity of the conditioned space are involved. The fuzzy rule is embedded into the frequency control loop of TCLs. The mismatch between generation and load is represented by the system frequency deviation that is measured locally. For the aggregation of decentralized loads response, Monte-Carlo sampling is conducted to address the randomness of model parameters. Case studies show that the proposed scheme can mitigate frequency deviation caused by generation-load imbalance. The frequency can be also restored to a reasonable level within a short time without compromising consumers' comfort.

ACS Style

Rongxiang Zhang; Xiaodong Chu; Wen Zhang; Yutian Liu; Yuanhong Hou. Fuzzy control design for thermostatically controlled loads considering consumers' thermal comfort. 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) 2014, 165 -170.

AMA Style

Rongxiang Zhang, Xiaodong Chu, Wen Zhang, Yutian Liu, Yuanhong Hou. Fuzzy control design for thermostatically controlled loads considering consumers' thermal comfort. 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). 2014; ():165-170.

Chicago/Turabian Style

Rongxiang Zhang; Xiaodong Chu; Wen Zhang; Yutian Liu; Yuanhong Hou. 2014. "Fuzzy control design for thermostatically controlled loads considering consumers' thermal comfort." 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) , no. : 165-170.

Conference paper
Published: 01 August 2014 in 2014 10th International Conference on Natural Computation (ICNC)
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Since the consumption of air conditioning devices takes a significant proportion in the electricity demand, implementation of appropriate control strategies will conserve a considerable amount of energy. A proper space thermal model is required for any control strategy, which is built on the accurate identification of unknown parameters. A first-order lumped parameter model is employed to depict space thermal dynamics. The model is discretized using the fourth-order Runge-Kutta method. We use a particle filter algorithm to identify the model parameters, thermal capacitance and conductance. The recursive algorithm follows the steps including initialization, prediction, update, weight normalization, and resampling. An experiment is conducted to collect indoor and outdoor temperature measurements of a test room. The error is very small between the measured data and prediction results derived by the identified parameters, which verify the effectiveness the identification method proposed in this paper.

ACS Style

Dingyi Cheng; Xiaodong Chu; Wen Zhang; Yutian Liu; Yuanhong Hou. Application of particle filter to parameter identification of space thermal model. 2014 10th International Conference on Natural Computation (ICNC) 2014, 589 -593.

AMA Style

Dingyi Cheng, Xiaodong Chu, Wen Zhang, Yutian Liu, Yuanhong Hou. Application of particle filter to parameter identification of space thermal model. 2014 10th International Conference on Natural Computation (ICNC). 2014; ():589-593.

Chicago/Turabian Style

Dingyi Cheng; Xiaodong Chu; Wen Zhang; Yutian Liu; Yuanhong Hou. 2014. "Application of particle filter to parameter identification of space thermal model." 2014 10th International Conference on Natural Computation (ICNC) , no. : 589-593.

Conference paper
Published: 01 July 2014 in 2014 IEEE PES General Meeting | Conference & Exposition
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To ensure the reliable operation of power systems, adequate reserve capacity must be allocated properly. Considering transmission constraints, reserve capacity from various nodes has different effects on the system reliability. Spinning reserve is procured in this paper responding to the imbalance between load and generation, which influences system reliability level described by the value of lost load (VOLL). The reserve value is derived through VOLL From the perspective of demand and supply equilibrium, a reasonable decision can be made for spinning reserve allocation at each node. Simulation results demonstrate the effectiveness of the proposed scheme.

ACS Style

Kai Wang; Xiaodong Chu; Wen Zhang. Valuation and allocation of spinning reserve considering power network constraints. 2014 IEEE PES General Meeting | Conference & Exposition 2014, 1 -5.

AMA Style

Kai Wang, Xiaodong Chu, Wen Zhang. Valuation and allocation of spinning reserve considering power network constraints. 2014 IEEE PES General Meeting | Conference & Exposition. 2014; ():1-5.

Chicago/Turabian Style

Kai Wang; Xiaodong Chu; Wen Zhang. 2014. "Valuation and allocation of spinning reserve considering power network constraints." 2014 IEEE PES General Meeting | Conference & Exposition , no. : 1-5.

Conference paper
Published: 01 January 2008 in 2008 Fourth International Conference on Natural Computation
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With the increase of wind power installed capacities, the cost of integration is large due to the intermittent nature of wind energy. To accommodate wind farm power fluctuations, additional control measures are required. Accurate characterization of the fluctuations paves the way for optimal control design. In identifying localized characteristics of the signal, wavelet transform provides a suitable tool. Data gathered at a wind farm of New Mexico are studied with its daily output variations characterized using wavelet transform.

ACS Style

Xiaodong Chu; Wen Zhang; Tochi Nwachukwu; Ian A. Hiskens. Characterization of Daily Wind Farm Power Fluctuations Using Wavelet Transform. 2008 Fourth International Conference on Natural Computation 2008, 4, 481 -485.

AMA Style

Xiaodong Chu, Wen Zhang, Tochi Nwachukwu, Ian A. Hiskens. Characterization of Daily Wind Farm Power Fluctuations Using Wavelet Transform. 2008 Fourth International Conference on Natural Computation. 2008; 4 ():481-485.

Chicago/Turabian Style

Xiaodong Chu; Wen Zhang; Tochi Nwachukwu; Ian A. Hiskens. 2008. "Characterization of Daily Wind Farm Power Fluctuations Using Wavelet Transform." 2008 Fourth International Conference on Natural Computation 4, no. : 481-485.

Proceedings article
Published: 27 July 2005 in 2005 IEEE International Symposium on Circuits and Systems
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A neural network-based system is proposed for power system transient stability prediction. A power system is a nonstationary environment, where operating conditions change from time to time. To make accurate predictions of the transient stability status of a power system, training examples are added continuously to reflect the most current operating condition. An on-line learning algorithm is employed to accommodate new training examples while avoiding negative interference. A real-world power system in China is used to demonstrate the effectiveness of the proposed transient stability prediction system. Simulation results show that the system performs well in different working modes and is able to make accurate predictions. Author(s) Xiaodong Chu Sch. of Electr. Eng., Shandong Univ., Jinan, China Yutian Liu

ACS Style

Xiaodong Chu; Yutian Liu. On-Line Learning Applied to Power System Transient Stability Prediction. 2005 IEEE International Symposium on Circuits and Systems 2005, 3906 -3909.

AMA Style

Xiaodong Chu, Yutian Liu. On-Line Learning Applied to Power System Transient Stability Prediction. 2005 IEEE International Symposium on Circuits and Systems. 2005; ():3906-3909.

Chicago/Turabian Style

Xiaodong Chu; Yutian Liu. 2005. "On-Line Learning Applied to Power System Transient Stability Prediction." 2005 IEEE International Symposium on Circuits and Systems , no. : 3906-3909.