基于改进粒子群算法的微网动态经济调度算法  

Microgrid Dynamic Economic Dispatch Based on Improved Particle Swarm Optimization

作　　者：宁阳天[1] 李相俊[2] 麻秀范[1] 闫鹤鸣 惠东[2] 

机构地区：[1]华北电力大学电气与电子工程学院,北京市102206 [2]中国电力科学研究院电工与新材料研究所,北京市100192

出　　处：《电力建设》2014年第6期26-30,共5页Electric Power Construction

基　　金：国家自然科学基金项目(51107126);国家电网公司科技项目(DG71-12-002)

摘　　要：对微网并网运行模式下的动态经济调度进行了研究,建立了优化微网内分布式电源出力的数学模型,同时考虑对主网向微网输入功率的优化。数学模型以最小化微网内总用电成本为目标,目标中将从主网中的购电成本视为用电成本的一部分,在考虑微网内功率平衡以及分布式电源出力大小和爬坡限制的约束条件下,对目标函数进行优化。解决平衡约束时,采用潮流计算的方法,将公共连接点视为潮流计算中的平衡节点,可根据网内出力和负荷平衡情况适时进行调节。求解数学模型时,采用粒子群算法,并对粒子群算法进行改进,在其中加入自适应措施,以解决非凸、高维、非线性的优化问题。典型算例验证表明,所提出的微网动态经济调度模型合理,求解算法具有很好的实用价值。This paper studied the dynamic economic dispatch of microgrid operation with grid mode, and established a microgrid optimization mathematical model of distributed generation output, simultaneously taking into account the power input from main grid optimization. The mathematical model objective was to minimize the total electric cost in microgrid, in which the purchase cost from the main grid was treated as part of the electric cost. With considering the power balance within the microgrid, the distributed generation output and the ramp constraint conditions, the objective function was optimized. The power flow calculation was used to solve power balance constraint, in which the point of common coupling was treated as the slack bus, and the adjustments could be done timely according to the balance situation between output and load in microgrid. This paper used particle swarm optimization （PSO） to solve the mathematical model, and improved PSO with adding self-adaptation measure to solve non-convex, high-dimensional, nonlinear optimization problems. Typical numerical example shows that the proposed model for microgrid dynamic economic dispatch is reasonable and the algorithm has good practical value.

关 键 词：微网 并网运行 动态经济调度 粒子群算法 自适应 

分 类 号：TM73[电气工程—电力系统及自动化]