基于改进小生境遗传算法的输电网安全经济规划模型

传统输电网规划模型中的目标函数通常仅考虑系统运行经济性而忽略安全性因素及其所带来的损失,为避免此缺陷,在运用改进K-means算法进行负荷聚类并建立多级负荷模型的基础上,以包含年投资成本、运行维护成本及缺电成本的年综合成本最小为目标,建立一种考虑安全性经济性协调的输电网规划模型,将安全性效益转化为经济形式并加入到目标函数中,同时在模型约束条件中考虑N-1安全约束,从而实现电网安全性与经济性的协调。最后,利用带有精英保留策略的改进小生境遗传算法求解规划模型,确定基于安全性经济性协调下的最优规划方案。通过分析修改后的IEEE RTS79系统,验证了模型及求解算法的有效性,可为输电网安全经济规划提供参考。

Transmission Network Planning Model Considering Economy and Security Based on Improved Niche Genetic Algorithm

In traditional transmission network planning model, only the economy aspect of power system is considered in the objective function and the security is often ignored. With the drawback, based on the multistep load model established by load clustering using improved K-means algorithm, a TNEP model considering coordinated economy and security is proposed to minimize the annual synthetic cost, which contains investment cost, operation cost, maintenance cost and load shedding cost. Meanwhile, the N-1 criterion is also added to the model. Thus, the coordination of economy and security is achieved. Finally, an improved niche genetic algorithm with elite strategy is utilized to solve the model and then an optimal scheme is obtained. The effectiveness of the proposed TNEP model and algorithm are verified by case study on modified IEEE RTS79 system, which can provide a reference for security and economy based transmission network planning.