考虑电、气、热耦合性及随机性的IES-CCHP综合收益模型

Comprehensive Profit Model of IES-CCHP Considering the Coupling and Randomness of Power,Gas and Heat

为鼓励综合能源系统背景下更多的联供系统积极参与进来,针对该系统中电力、天然气和热力系统之间的交互影响及其不确定因素,考虑它们之间的耦合性及随机性,建立冷热电三联供综合收益模型。本文提出一种基于Nataf变换的自修正粒子群优化算法求解模型,采用Nataf变换的多点估计法将随机量转换,生成满足耦合关系并接近实际值的样本矩阵,动态地修正粒子惯性权重。算例分析表明,计及耦合性和随机性的联供系统综合收益更大;所提出的算法大大降低了随机性且有较强的全局搜索能力。

Uncertain factors are gradually increasing with the frequent interactions between power,natural gas and thermal system in the context of integrated energy system（IES）. Considering the coupling and randomness therein,a comprehensive profit model,i.e.,integrated energy system-combined cooling,heating and power（IES-CCHP）,is estab-lished to encourage more CCHPs to participate in energy dispatching actively. In this paper,a Nataf transformation-based self-correction particle swarm optimization（PSO）algorithm is proposed to solve this model. First,a multi-pointestimation method based on Nataf transformation is adopted to generate a sample matrix,which satisfies the coupling relationship and is close to the actual values. Then,the dynamic correction of the inertia weights of particles is calculated.A numerical example shows that IES-CCHP can generate more comprehensive profit in consideration of the couplingand randomness characteristics;Moreover,the proposed algorithm reduces the randomness obviously,and has a strongglobal search capability.