会议名称：
International Conference on Engineering Design and Optimization (ICEDO 2010)
会议时间：
OCT 28-30, 2010
会议地点：
Ningbo Univ, Ningbo, PEOPLES R CHINA
会议主办单位：
Ningbo Univ
会议论文集名称：
Applied Mechanics and Materials
关键词：
Bidding decisions with heterogeneous expectations;Chaos;Electricity market;Nash equilibrium;Simulation
摘要：
Based on different bidding decisions with heterogeneous expectations of market participants, a dynamic model of electricity market considering power network constraints is proposed. This model is represented by a discrete difference equations embedded with the optimization problem of market clearing. By using the nonlinear complementarity function, the complex dynamic behaviors of electricity market are simulated and analyzed. The Nash equilibrium and its stability, the periodic and even chaotic dynamic behaviors beyond the stability region of Nash equilibrium are investigated.
期刊：
Program and Abstract Book - 2010 7th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2010,2010年:34-39
通讯作者：
Zhang, M.(mengmeng@163.com)
作者机构：
[Yang, H.M.; Zhang, M.; Yang, D.L.; Zhang, Y.X.] College of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha, Hunan 410076, China;[Lai, M.Y.] College of Economy and Trade, Hunan University, Changsha, Hunan 410082, China
通讯机构：
College of Electrical and Information Engineering, Changsha University of Science and Technology, China
关键词：
Chaos;Dynamic supply function;Nash equilibrium;Power market;State time-delayed feedback control
会议名称：
International Conference on Engineering Design and Optimization (ICEDO 2010)
会议时间：
OCT 28-30, 2010
会议地点：
Ningbo Univ, Ningbo, PEOPLES R CHINA
会议主办单位：
Ningbo Univ
会议论文集名称：
Applied Mechanics and Materials
关键词：
Chance constrained programming;Copula;Genetic algorithm;Optimal dispatch;Sample average approximation;Smart grid
摘要：
Large-scale wind power incorporated into power grid brings new challenges to optimal dispatch of power system. Especially, wind power at different locations may has a significant degree of correlation. A copula function was used to characterize the Joint Probability Distribution (JPD) of wind power from multiple wind farms considering their correlation. An optimal dispatch model based on Chance Constrained Programming (CCP) for power system with multiple wind farms was set up. And Sample Average Approximation (SAA) was proposed to transform the chance constrains. Finally Genetic Algorithm (GA) was employed to solve the optimal model. Simulation results indicate that copula function can well express the correlation of wind power from multiple wind farms and SAA has been a dramatic increase and improvement on the search of solution.
会议名称：
International Conference on Engineering Design and Optimization (ICEDO 2010)
会议时间：
OCT 28-30, 2010
会议地点：
Ningbo Univ, Ningbo, PEOPLES R CHINA
会议主办单位：
Ningbo Univ
会议论文集名称：
Applied Mechanics and Materials
关键词：
Broken lines;Collapsed towers;EVT;Ice thickness;Joint probability distribution
摘要：
Based on Extreme Value Theory (EVT), the Generalized Pareto Distributions (GPDs) of meteorological variables wind speed and freezing precipitation is simulated. Considering the dependence of them, a joint probability distribution is calculated by the Copula function. Further more, the probability distributions of ice loads and wind loads on transmission lines are analyzed, and the failure probability of broken lines and collapsed towers under ice storms is calculated. The accuracy and validity of this analytical method is demonstrated with comparison between numerical results and the historical datas of Chen Zhou power transmission systems.
会议名称：
IEEE International Conference on Industrial Technology
会议时间：
FEB 10-13, 2009
会议地点：
Churchill, AUSTRALIA
会议主办单位：
[Dai, Yu;Yang, Hongming] Changsha Univ Sci & Technol, Coll Elect & Informat Engn, Changsha, Hunan, Peoples R China.^[Wu, Jiajie] Chongqing Elect Power Coll, Chongqing, Peoples R China.
摘要：
Electricity supply chain coordination mechanism from the fuel supply, power generation and transmission to electricity consumption has become an important research topic to ease electric coal supply conflicts. In this paper, based on the quantity discount contracts, the electricity supply chain coordination model is proposed. The model makes the rational decision-making of individual members in the supply chain to achieve the optimal overall performance. With satisfying the power transmission network constraints, the model couples the optimal decision-making of fuel enterprises, power generation enterprises, customers and independent system operator by the quantity discount contracts of fuel procurement prices. Mathematically, it is represented by the multi-layer optimization with the equality and inequality constraints. By using the on-linear complementary function method, the electricity supply chain coordination model is transferred into a set of non-linear algebraic equations, and then the value of quantity discount is obtained which make the individual decision-making achieve optimal supply chain performance.
会议名称：
2009 Asia-Pacific Power and Energy Engineering Conference, APPEEC 2009
会议时间：
March 27, 2009 - March 31, 2009
会议地点：
Wuhan, China
关键词：
fuel supply market;electric power supply chain;Nash equilibrium;nonlinear complementarity method
摘要：
From the perspective of entire supply chain of electric power with fuel supply, power generation, transmission and consumption, how to operate and coordinate the power enterprises is an important research topic. Coupling the optimal decision-making of chain members, including fuel suppliers, power generators, power suppliers or customers and independent system operator, the Nash equilibrium model of electric power supply chain is proposed with satisfying the constraints of power network. This model is a multi-layer optimization model, whose KKT system is a mixed nonlinear complementarity problem. By using the nonlinear complementarity function to reformulate the KKT system into a set of algebraic equations, the Nash equilibrium of electric power supply chain is solved simply and fast. Finally, corresponding to different operational conditions of power network, the Nash Equilibrium of electric power supply chain is analyzed. It is indicated that the fuel suppliers and power generators are favorable to joint decision-making for obtaining more profits.
作者机构：
[杨洪明] College of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410076, China;[冯伟林] College of Economy and Trade, Hunan University, Changsha 410082, China;[刘思东] Department of Mathematics and Physics, Wuyi University, Jiangmen 529020, China
通讯机构：
[Yang, H.-M.] C;College of Electrical and Information Engineering, Changsha University of Science and Technology, China
作者机构：
[刘思东; 王琦] Department of Mathematics and Physics, Wuyi University, Jiangmen 529020, China;[杨洪明] College of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410076, China
通讯机构：
[Liu, S.-D.] D;Department of Mathematics and Physics, Wuyi University, China
摘要：
In order to accurately simulate the game behaviors of market participants, a new dynamic Cournot game model of power market considering the constraints of power network is proposed in this paper. The model is represented by a discrete difference equations embedded with the maximization problem of the social benefit of power market. Compared with those existing dynamic models, the proposed one has the following remarkable characteristics: it adopts a dynamic adjustment where the limit point is the Nash equilibrium of power market, and the system of discrete difference equations embedded with the maximization problem considers the inherent physical characteristics of power network, i.e., the complex network constraints. Both of the properties show that the proposed model is much closer to the practical market. By using the nonlinear complementarity function to reformulate the Karush-Kuhn-Tucker (KKT) system of maximization problem, the Nash equilibrium of power market and its stability are quantitatively analyzed. Numerical simulations are carried out to evaluate the dynamic behaviors of market participants with different market parameters, especially the periodic and chaotic dynamic behaviors when the market parameters are beyond the stability region of Nash equilibrium.
