计及核电调峰的新能源电力系统两阶段随机优化调度

近年来,随着世界范围内的能源危机越来越严重,新能源作为缓解能源危机的有效途径之一发展迅速。然而新能源具有不确定性的特点,大规模的新能源并网会给电力系统优化调度带来新挑战。在新能源和核电高速发展的情况下,电力系统峰谷差变大使得电力系统调峰压力增加。为解决调峰问题,建立了核电灵活调峰模型,同时构建了一种考虑新能源的运用核电进行灵活调峰的电力系统两阶段随机调度优化模型:第一阶段决定机组启停情况,第二阶段则根据第一阶段做出的决定对机组出力进行优化,以实现运行成本最小化。通过对IEEE标准24节点测试系统以及一个实际系统进行测试,验证了核电厂进行调峰的可行性和经济性。

A two-stage stochastic optimization for power system nuclear power plants participa-ting in peak regulation with the consideration of renewable energy uncertainty

The energy crisis is getting more and more serious around the world. In recent years, renewable has developed rapidly as one of the ways to relieve the energy crisis. However, renewable energy has the characteristics of uncertainty. There-fore, high renewable energy penetrated power system will bring new challenge to the optimal dispatching for the power system. In China, the coal-fired power plants are the main way of the power system peak regulation, but its peak regulation capacity is not much. In order to increase the peak regulation capacity, a nuclear plant participating in peak regulation model is proposed in this paper. To address the uncertainty, a two-stage sto-chastic optimization for power sys-tem nuclear power plants participating in peak regulation with the consideration of the stochastic renewable energy output is given. The first stage of optimization determines the status of the power plants. In the second stage of optimization minimize the expected operation cost of power system based on the decision made in first stage. The model is tested by IEEE 24-bus system and a real power system. The results verify the feasibility and economy of the nuclear plants participating in peak regulation.