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文章摘要
基于可能度的冷热电联供微网区间优化调度模型
Interval Optimal Dispatch Model of CCHP(Combined Cooling, Heating and Power) Microgrid Based on Possibility Degree
Received:April 16, 2018  Revised:April 16, 2018
DOI:10.19753/j.issn1001-1390.2019.010.008
中文关键词: 区间可能度  可再生能源  冷热电联供  微网  经济调度
英文关键词: interval  possibility degree,renewable  energy resources,CCHP, microgrid,economic  dispatch
基金项目:中央高校基本科研业务费专项资金资助
Author NameAffiliationE-mail
Chen Yu School of Electrical and Electronic Engineering,North China Electric Power University oolvcyu@163.com 
Liu HuiLan* School of Electrical and Electronic Engineering,North China Electric Power University liuhuilan111@163.com 
Li Ran School of Electrical and Electronic Engineering,North China Electric Power University liranlelele@163.com 
Sun ZhiPan School of Electrical and Electronic Engineering,North China Electric Power University sunzhipan@vip.qq.com 
Huo Qijing School of Electrical and Electronic Engineering,North China Electric Power University huoqjijinghd@163.com 
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中文摘要:
      提出了含多种能量转换途径的冷热电联供微网非线性区间优化调度模型。首先,以充分利用光伏、风电等新能源为目标,确定了实现电冷、电热、热冷能量转化的灵活冷热电联供微网系统。然后以此系统为对象,针对光伏、风电、冷热电负荷随机性问题,考虑分时电价、环境效益等因素,建立以系统综合运行成本最低为目标的非线性区间优化模型。根据区间可能度模型,将不确定性模型转化为确定性模型,结合改进粒子群算法进行求解。最后通过算例验证了该模型的合理性、灵活性,并结合仿真结果分析了区间可能度和负荷波动对综合运行成本的影响。
英文摘要:
      A nonlinear optimal interval scheduling model for combined cooling, heating and power (CCHP) microgrid with multi approaches of energy conversion is proposed. First,to improve the consumptive capacity of wind power, photovoltaic and other renewable energy, a flexible CCHP microgrid system with the ability of energy conversion of electric energy to cooling, electric energy to thermal energy and energy to cooling energy is built.Then in the CCHP microgrid,Considering the fluctuation of wind power, photovoltaic, cooling load, thermal load and electricity load, an optimal scheduling model is proposed.It is a nonlinear interval optimization model with the lowest system cost as the goal,the factors of environmental benefit,TOU power price and operation and maintenance cost taken into account. According to the method of interval possibility , the uncertainty model is transformed into a deterministic model and the improved particle swarm optimization algorithm is applied to solve the deterministic model.Finally,taking a CCHP microgrid system for a simulation example,the rationality and flexibility of the proposed model is verified and influence of load fluctuation and interval probability on system operating cost is analyzed.
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