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Allocation of real power generation based on computing over all generation cost: an approach of Salp Swarm Algorithm

机译:基于计算的计算分配实时成本:SALP群算法的方法

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摘要

Economic Load Dispatch (ELD) is utilized in finding the optimal combination of the real power generation that minimizes total generation cost, yet satisfying all equality and inequality constraints. It plays a significant role in planning and operating power systems with several generating stations. For simplicity, the cost function of each generating unit has been approximated by a single quadratic function. ELD is a subproblem of unit commitment and a nonlinear optimization problem. Many soft computing optimization methods have been developed in the recent past to solve ELD problems. In this paper, the most recently developed population-based optimization called the Salp Swarm Algorithm (SSA) has been utilized to solve the ELD problem. The results for the ELD problem have been verified by applying it to a standard 6-generator system with and without due consideration of transmission losses. The finally obtained results using the SSA are compared to that with the Particle Swarm Optimization (PSO) algorithm. It has been observed that the obtained results using the SSA are quite encouraging.
机译:经济负担调度(ELD)用于找到最大限度地结合的实际发电的最佳组合,以最小化总成成本,但满足所有平等和不等式约束。它在具有多个发电站的规划和运营电力系统方面发挥着重要作用。为简单起见,每个生成单元的成本函数已经通过单个二次函数近似。 Eld是单位承诺的子问题和非线性优化问题。最近的过去已经开发了许多软计算优化方法来解决ELD问题。本文中,最近开发的基于人口的优化,称为SALP群算法(SSA)已被利用来解决ELD问题。通过将其应用于具有和不适当考虑传输损耗的标准6发生器系统来验证ELD问题的结果。使用SSA的最终获得的结果与粒子群优化(PSO)算法进行比较。已经观察到使用SSA的获得结果非常令人鼓舞。

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