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A Quadratic Convex Approximation for the Short-Term Hydro-Thermal Dispatch

机译：短期水热调度的二次凸逼近

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Short term hydro-thermal dispatch is a classical problem in power systems operation. This problem is usually solved by a combination of heuristic and classical optimization algorithms that are unsuitable for real time operation. This paper presents a quadratic convex approximation that guarantees a global optimum with fast convergence. Our approximation is based on the semi-definite properties of the nonlinear function that relates the generated power with the volume and water discharge of each reservoir. Simulation results performed in Matlab/cvx demonstrate that the proposed approximation is accurate compared to the conventional Genetic Algorithm (GA) and Particle Swarm optimization (PSO) with the key advantage of being an exact technique suitable for real time operation.
机译：短期水热调度是电力系统运行中的经典问题。通常通过结合不适用于实时操作的启发式算法和经典优化算法来解决此问题。本文提出了二次凸逼近，该二次凸逼近保证了全局最优和快速收敛。我们的近似基于非线性函数的半确定属性，该函数将发电功率与每个水库的容积和排水量相关联。在Matlab / cvx中执行的仿真结果表明，与传统的遗传算法（GA）和粒子群优化（PSO）相比，所提出的近似值是准确的，其主要优势是适用于实时操作的精确技术。

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