Research on Optimization of Trading for Different Objective in Shanghai Power Grid Considering Demand Side Participation
It is real-time interaction in the electrical characteristics between purchasing side and selling side of power grid，those two balanced at any time scales. So power optimization is a problem that is essentially overall optimization of transaction of purchasing and selling electricity. Trading patterns will change with fluctuations of demand-side response introduced in power market,mainly in trade diversified options in optimization objectives. The paper formulated series of problems of optimization on the electricity purchasing and selling,analysed the existing shortage of electricity trading models and study great theoretical significance and practical engineering value of the efficient,economic,and environmental protection operations in electricity trading on the Shanghai grid future electricity market with the demand-side participation. According to Shanghai electrical network actual data (various time intervals electric quantity of 6 professions and 8 power plants),models were separately found from different objectives based on the transaction benefit to highest,the accumulation benefit of trade transmission losses to be most superior and the effect of energy saving and emission reducing to most optimal. Trading volume and income were obtained in various time intervals of various models of various industries and power plants,as well as the most superior trading distribution in different electricity price adjustment after the demand elastic response in Shanghai power grid. It is proved the model accuracy and the objectivity. The article integrated the demand characteristic into the electric trading,which is closer to the essence of power market,to take a research respond of power market and provide the technical support of the linkage between purchasing and selling electricity side in power market.
Shanghai power grid demand response electricity purchasing and selling transmission losses energy saving and emission reducing
Jun-yu Yao Jun-yong Liu You-bo Liu Wei-ting Xu Yan Zhao Lei Li
School of Electrical Engineering and Information,Sichuan University,Chengdu 610065,Sichuan Province, Shanghai Municipal Electric Power Company,Shanghai 200122,China
国际会议
南京
英文
1643-1650
2010-09-13（万方平台首次上网日期，不代表论文的发表时间）