文章摘要
王佳颖,史俊祎,文福拴,等.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. DOI: 10.7500/AEPS20180216001.
Wang Jiaying,,Wen Fushuan, et al.Optimal Operation of a CHP Microgrid with Concentrating Solar Power Plants Considering Demand Response[J].Automation of Electric Power Systems. 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 a CHP Microgrid with Concentrating Solar Power Plants Considering Demand Response
DOI:10.7500/AEPS20180216001
关键词: 光热电站  热电联供  热电联供型微网  需求响应  优化运行  模糊机会约束规划
KeyWords: concentrating solar power plant  combined heat and power (CHP)  CHP microgrid  demand response  optimal operation  fuzzy chance constrained programming
上网日期:2018-11-06
基金项目:国家重点研发计划资助项目
作者单位E-mail
王佳颖 浙江大学电气工程学院 wangjiayingee@zju.edu.cn 
史俊祎 浙江大学电气工程学院 junyizju@foxmail.com 
文福拴 浙江大学电气工程学院 fushuan.wen@gmail.com 
李继红 国网浙江省电力有限公司 wenfs@hotmail.com 
张利军 国网浙江省电力有限公司经济技术研究院 278594393@qq.com 
徐晨博 国网浙江省电力有限公司经济技术研究院 776392882@qq.com 
摘要:
      光热电站利用新型太阳能发电装置实现光-热-电之间的能量转化, 可以输出比较稳定的电功率, 为解决太阳能发电的消纳问题提供了有效途径。在此背景下, 提出在热电联供型微网中引入光热电站以辅助系统运行, 并结合风电站、电储能装置、热泵等能量转换设备构建一种新的微网架构。之后, 以零售电价和零售热价为信号引导微网内用户参与需求响应, 并基于价格弹性矩阵建立了电负荷和热负荷的需求响应模型。在此基础上, 考虑风电和光电出力的不确定性, 以最大化微网运行效益为目标建立了模糊机会约束规划模型。然后, 对模型做了简化, 最终形成混合整数线性规划问题, 并用高效的商业求解器CPLEX求解。最后, 以某微网系统在冬季和夏季的典型日为例对所提模型和方法进行了说明。
Abstract:
      A concentrating solar power plant uses a new type of solar power generation equipment to carry out the conversion of “solar-heat-electricity” and could maintain stable electric power output, and hence provides an effective way to enhance the capability of accommodating solar power output. Given this background, 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 concerned. The demand price elasticity matrix is employed to model the responses of the participated electrical loads and thermal loads in the demand response program. On this basis, 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. The model is next simplified, and a mixed integer linear programming model attained and solved by the well-developed commercial solver CPLEX. Finally, a sample microgrid system is served for demonstrating the presented model and method for a typical winter day and a typical summer day.
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