Abstract

Conventional thermal power system-based units and its participation schedule known as unit commitment problem (UCP) is a significant and stimulating undertaking of allocating generated power among the dedicated units subject to numerous restrictions above a scheduled time prospect to obtain the slightest generation cost. This problem becomes further more complex by increasing the size of the power system. Since unit commitment problem is link optimization problem as it has both binary and continuous variable that is why it is most challenging problem to solve. In this paper, a recently invented optimizer sine–cosine is used to solve unit commitment problem. Sine cosine algorithm (SCA) is an innovative population centered optimization algorithm that has been used for solving the unit commitment optimization problems bounded by some constraints centered on the concept of a mathematical model of the sine and cosine functions. This paper offers the solution of unit commitment optimization problems of the electric power system by using the SCA, as UCP is linked optimization as it has both binary and continuous variables, the strategy adopted to tackle both variables is different. In this paper, proposed sine cosine algorithm searches allocation of generators (units that participate in generation to take upload) and once units are decided, allocation of generations (economic load dispatch) is done by mixed integer quadratic programming. The feasibility and efficacy of operation of SCA algorithm are verified for small- and medium-power systems, in which results for 4 unit, 5 unit, 6 unit, 7 unit, 10 units, 19 unit, 20 unit and 40 units are evaluated. The 10 generating units are evaluated with 5% and 10% spinning reserve. The results obviously show that the suggested method gives the superior type of solutions as compared to other algorithms.

中文翻译：

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基于正弦余弦算法的火力系统最优有力发电调度和机组承诺

摘要

基于常规火力系统的机组及其参与时间表（称为机组承诺问题）是一项重大且令人鼓舞的工作，在超过预定时间范围的众多限制下，在专用机组之间分配发电功率以获得最小的发电成本。通过增加电力系统的尺寸，这个问题变得更加复杂。由于单元承诺问题是链接优化问题，因为它既具有二进制变量又具有连续变量，这就是为什么它是最具挑战性的问题。在本文中，最近发明的优化器正弦余弦用于解决机组定额问题。正弦余弦算法（SCA）是一种创新的以人口为中心的优化算法，已用于解决受某些约束（以正弦和余弦函数的数学模型为中心）约束的单位承诺优化问题。本文使用SCA来解决电力系统的机组承诺优化问题，因为UCP具有二进制和连续变量，因此是链接优化，因此解决这两个变量的策略是不同的。在本文中，提出的正弦余弦算法搜索发电机的分配（参与发电的单位进行上传），一旦确定了单位，则通过混合整数二次规划完成发电量的分配（经济负荷分配）。验证了SCA算法在中小功率系统中的可行性和有效性，并评估了4单元，5单元，6单元，7单元，10单元，19单元，20单元和40单元的结果。对10个发电机组进行了5％和10％的纺纱储备评估。结果显然表明，与其他算法相比，所提出的方法给出了更好的解决方案类型。