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Shang J.,Henan Grid Power Exchange Center
Dianli Xitong Zidonghua/Automation of Electric Power Systems | Year: 2010

The development of trans-regional and trans-provincial power exchange is an inevitable trend in electricity market reform, which is also one of the important measures to optimize energy resources nationwide. First, the basic implications and principles are put forward for the trans-regional and trans-provincial power exchange, and the general idea, the trading mechanism and patterns, 4 kinds of power price mechanism and 7 kinds of trading patterns are proposed. The trading models and algorithms for the trans-regional and trans-provincial power exchange aimed to optimize public welfare and the efficiency of optimized and fair resource allocation as well as to maximize the transaction volume are considered from the systematic and practical point of view. The model for coordination between bilateral trade and call auction mechanism for trans-regional and trans-provincial power exchange are constructed. Finally, all kinds of risks for the agent mechanism of trans-regional and trans-provincial power exchange are dealt with. © 2010 State Grid Electric Power Research Institute Press. Source


Ju L.,North China Electrical Power University | Li H.,North China Electrical Power University | Chen Z.,North China Electrical Power University | Shang J.,Henan Grid Power Exchange Center | And 2 more authors.
Dianwang Jishu/Power System Technology | Year: 2014

According to the influence of the randomness of both plug-in hybrid electric vehicles (PHEV) and power output of wind farm, synthetically considering the operating features of PHEV under such modes as uncontrolled charging, continuous charging, delayed charging and fully optimized charging and combining with constraints of power grid operation a multi-objective optimization model for synergistic scheduling of wind power and PHEV is proposed; then, to solve the constructed model, based on improved ε constraint method and fuzzy decision theory a two-step adaptive solution method is put forward to attain a power grid operating scheme with the best membership; finally, a hybrid power grid composed of IEEE 36-bus 10-machine system and wind farm with the installed capacity of 650 MW is taken as the case and simulated, meanwhile the sensitivity analysis on the amount of grid-connected PHEV is performed. Simulation results show that the proposed method model is feasibly and effective when it is used to solve the synergistic scheduling of wind power and PHEV; a better peak load shaving effect could be achieved while the grid-connection of PHEV is carried out under the fully optimized charging mode and more reserve service can be offered for wind farm and the wind power curtailment could be reduced; with the increase of the amount of PHEV, both wind power curtailment and the cost of thermal power generation can be decreased. Source


Wang H.,Zhejiang University | Shang J.,Henan Grid Power Exchange Center | Wen F.,Zhejiang University
Dianli Zidonghua Shebei/Electric Power Automation Equipment | Year: 2013

Due to the risks originated from the uncertainties, a risk measurement index based on the combination of lower deviation and information entropy is proposed, of which, the lower deviation is used to measure the probability and amount of loss while the information entropy the uncertainty of loss. A dynamic combined optimization model of electricity purchase by the power-supply company in multiple electricity markets is built under the framework of chance-constrained programming, which constrains the actual profit not less than the given target profit at a certain confidence level, resulting in the acceptable profit with the minimum risk. The particle swarm optimization algorithm is adopted to solve the developed optimization problem. Simulative results show that, the proposed method can more comprehensively and accurately measure the combined risk of electricity purchase and the electricity purchase strategy of a power supply company is dependent on its target profit and the uncertainty degree of electricity prices in different electricity markets. Source


Shang J.,Henan Grid Power Exchange Center
Dianli Xitong Zidonghua/Automation of Electric Power Systems | Year: 2010

In order to design the electricity market system in China, the following issues have to be considered; (i) the market development must be in line with the progress of domestic economical and political reforms, (ii) the stage of domestic economic development, (iii) coordination with the optimal resource allocation and the equity allocation, and (iv) follow the overall efficiency of the industrial chain associated. Under the background of China's aggressive plans toward electricity market construction, the paper analyzes the basic situation to design China's electricity market system mode, pointing out that the electricity market construction is impossible to surmount the reform progress and economic development stages of China. The electricity market system mode is impossible to be settled at one go and must have a transformation period (transfer mode). Meanwhile, the international experience and basic principles of the electricity market system mode design are analyzed. The 8 different types of structures and 8 coordination models to the electricity market system mode of China are given on the basis of the interconnected power network of China. The 10 kinds of electricity market system modes are put forward and the applicability to each market system mode is analyzed. ©2010 State Grid Electric Power Research Institute Press. Source


Liu W.,Zhejiang University | Shang J.,Henan Grid Power Exchange Center | Zhou W.,Zhejiang University | Wen F.,Zhejiang University | Lin Z.,Zhejiang University
Dianli Xitong Zidonghua/Automation of Electric Power Systems | Year: 2013

Although some empirical analysis has already been done on the application of the fractal and multifractal theories in electricity price modeling, appropriate risk indices and associate calculation methods have not yet been systematically addressed. Given that, the well-established multifractal-detrended fluctuation analysis (MF-DFA) is employed to analyze and validate the multifractal characteristics of electricity price series. Then, a return interval approach (RIA) based method is presented to calculate the value-at-risk (VaR) caused by the electricity price fluctuations in electricity markets. Based on the proposed method, a risk optimization model for a short-term purchasing portfolio of the transmission company is developed. Finally, practical real-time electricity price data from the PJM electricity market in USA is served as a case study for analyzing the financial risk of a transmission company acting as a single buyer. Moreover, the risk optimization model is employed to determine the purchasing portfolio of typical trading days. It is demonstrated by simulation results that the developed RIA based VaR calculation method can accurately reflect the financial risk of the transmission company in a single-buyer electricity market, but also adapt to different fluctuation characteristics of electricity prices in different time periods. It provides a new method of risk optimization of purchasing portfolio for transmission companies. ©2013 State Grid Electric Power Research Institute Press. Source

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