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Modelling and solutions of coordinated economic dispatch with wind–hydro–thermal complex power source structure

机译:风水热复合动力源结构协调经济调度的建模与求解

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This study presents an efficient optimisation strategy for solving coordinated economic dispatch problem with wind-hydro-thermal complex power source structure. The wind-hydro-thermal coordinated dispatch aims to minimise the total fuel costs of coal-fired thermal power units while satisfying all kinds of operating constraints. To better handle the random variables in the constraints introduced by wind power and load demand during analysis, a probabilistic analytical model is employed to describe the uncertainty of wind farm power output first; moreover, then an improved convolution method is applied to calculate the total stochastic power consisting of load demand and power output of wind farm. The two-stage stochastic linear programming method and stochastic chance constraints are employed to further form a new deterministic objective function with penalty items taken into account. An enhanced particle swarm optimisation method is applied in the solution of the proposed model. Finally, the simulations are performed on a 6-bus test system and a real-sized China power grid test system to investigate the effectiveness and validity of the proposed optimisation strategy.
机译:本研究提出了一种有效的优化策略,以解决风水热复合动力源结构协调的经济调度问题。风水热协调调度的目的是在满足各种运行限制的同时,将燃煤火电机组的总燃料成本降至最低。为了更好地处理分析过程中风力和负荷需求引入的约束中的随机变量,采用概率分析模型首先描述了风电场发电量的不确定性。此外,采用改进的卷积方法来计算由负荷需求和风电场功率输出组成的总随机功率。采用两阶段随机线性规划方法和随机机会约束,进一步考虑了惩罚项,形成了新的确定性目标函数。在该模型的求解中采用了一种改进的粒子群优化方法。最后,在6总线测试系统和实际的中国电网测试系统上进行了仿真,以研究所提出的优化策略的有效性和有效性。

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