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考虑多风电场出力耦合特性的热电联合优化调度
潘扬1, 石立宝1, 姚诸香2, 倪以信1
1.清华大学 深圳研究生院 电力系统国家重点实验室深圳研究室,广东 深圳 518055;2.国网江西省电力有限公司,江西 南昌 330077
摘要:
建立了一种考虑多风电场出力耦合特性的热电联合优化调度模型。该模型的目标函数为最小化火电及热电联产机组煤耗成本,并在电功率平衡约束中引入多风电场出力及电负荷的随机特性。模型求解过程中,基于Copula相关理论推导了考虑多风电场总出力耦合特性的概率模型,然后采用两阶段随机规划处理含随机量的等式约束,并应用一种自适应进化规划算法对所提出的优化模型进行求解。算例仿真结果表明了所提模型及方法的有效性。
关键词:  风电耦合  热电联产  经济调度  两阶段随机规划  Copula理论
DOI:10.16081/j.epae.201908045
分类号:TM73;TM614
基金项目:国家自然科学基金资助项目(51777103)
Optimal scheduling of combined heat and power system considering coupling characteristics of multiple wind farm outputs
PAN Yang1, SHI Libao1, YAO Zhuxiang2, NI Yixin1
1.Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China;2.State Grid Jiangxi Electric Power Company, Nanchang 330077, China
Abstract:
An optimal scheduling model of CHP(Combined Heat and Power) system considering the coup-ling characteristics of multiple wind farm outputs is established. The objective function of the proposed model is to minimize the fuel costs of thermal power and CHP units, and the stochastic characteristics of multiple wind farm outputs and electric load are introduced into the electric power balance constraints. Based on the Copula theory, the probability model considering the coupling characteristics of the total output of multiple wind farms is derived during model solving process. Then a two-stage stochastic programming method is used to deal with the equality constraints with random quantities, and a self-adaptive evolutionary programming algorithm is applied to solve the proposed optimal model. The simulative results de-monstrate the effectiveness of the proposed model and method.
Key words:  wind power coupling  CHP  economic dispatch  two-stage stochastic programming  Copula theory

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