计及接纳间歇性电源能力的输电系统规划方法

Transmission System Planning Considering Capability of Accommodating Intermittent Generation Sources

风力发电、光伏发电等间歇性电源在电力系统中渗透率的不断提高对系统接纳能力和输电能力提出了更高的要求。进行输电系统规划时既要考虑尽可能具备接纳和输送间歇性电源的能力以充分利用清洁能源,又要避免输电容量冗余造成投资浪费。在此背景下,构造了一种计及间歇性电源接纳能力的输电系统规划两层模型。上层模型以投资成本最小化为目标确定输电系统规划方案;下层模型则以弃风惩罚与切负荷惩罚量之和最小为优化目标,在考虑了间歇性电源出力不确定性、负荷波动不确定性以及元件随机停运等不确定性情况下进行安全校验。之后,对上下层模型分别采用粒子群优化算法和商用线性规划求解器ILOG CPLEX进行迭代求解。最后,采用包含3个大型风电场的、修改的巴西南部46节点系统对所提出的模型和求解方法进行了说明。

The ever-increasing penetration of intermittent renewable generation in the power systems gives rise to a higher demand of more accommodating capability and more transmission capability. In the transmission system planning, a compromise must be appropriately made between maximizing the accommodating capability of renewable generation and making fully using of the transmission capacity. Under this background, a bi-level programming model is developed for transmission system planning with the capability of accommodating high penetration of intermittent renewable generation being considered. In the upper model, the economic objective is mainly addressed by minimizing the investment cost associated with transmission planning, while in the lower level the objective is to minimize the sum of the penalties for abandoning wind and for load shedding, and security constraints are checked for different scenarios considering the uncertainties associated with outputs of renewable generation, load fluctuations, and random outages of devices/components. Then, the well-established particle swarm optimization （PSO） algorithm and the commercially available ILOG CPLEX are employed to solve the upper level and lower level optimization problems, respectively. Finally, a modified Brazilian southern 46 bus system with three wind farms is used for demonstrating the essential features of the developed model and employed algorithm.