考虑多风电场出力耦合特性的热电联合优化调度

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。

Optimal scheduling of combined heat and power system considering coupling characteristics of multiple wind farm outputs

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.