电力系统自动化2019，Vol.43Issue(1)：176-185,10.DOI:10.7500/AEPS20180216001
计及需求响应的光热电站热电联供型微网的优化运行
Optimal Operation of CHP Microgrid with Concentrating Solar Power Plants Considering Demand Response
摘要
Abstract
A concentrating solar power plant can use a new type of solar power generation equipment to carry out the conversion ofsolar-heat-electricity"and could maintain stable electric power output, which provides an effective way to enhance the capability of accommodating solar power output.A concentrating solar power plant is proposed to support the system operation in a combined heat and power (CHP) microgrid, in which a wind power station, an electrical energy storage device, and an electric heater are equipped.Then, retail electricity prices and retail heating prices in the microgrid are utilized as signals to induce users to participate in the demand response program.The demand price elasticity matrix is employed to model the response of the participated electrical loads and thermal loads in the demand response program.Considering the uncertainties of wind power and solar power outputs, a fuzzy chance constrained programming model is established with an objective of maximizing the operational benefit of the microgrid.Then, the model is simplified, and a mixed integer linear programming model is attained and solved by the well-developed commercial solver CPLEX.Finally, a sample microgrid system is used for demonstrating the presented model and method for a typical winter day and a typical summer day.关键词
光热电站/热电联供/微网(微电网)/需求响应/优化运行/模糊机会约束规划Key words
concentrating solar power plant/combined heat and power (CHP)/microgrid/demand response/optimal operation/fuzzy chance constrained programming引用本文复制引用
王佳颖,史俊祎,文福拴,李继红,张利军,徐晨博..计及需求响应的光热电站热电联供型微网的优化运行[J].电力系统自动化,2019,43(1):176-185,10.基金项目
国家自然科学基金资助项目(U1509218) （U1509218）
国家重点研发计划资助项目(2017YFB0903000) （2017YFB0903000）
国网浙江省电力有限公司科技项目(5211JY17000Q) This work is jointly supported by National Natural Science Foundation of China (No. U1509218) , National Key R&D Program of China (No. 2017YFB0903000) , and State Grid Zhejiang Electric Power Co. Ltd. (No. 5211JY17000Q). （5211JY17000Q）
