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Model predictive control of electricity market oriented wind farm dispatch with a battery energy storage system

机译:带有电池储能系统的面向电力市场的风电场调度的模型预测控制

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Implementing battery energy storage system (BESS) in wind power plant provide an opportunity to the plant operator to make a balance between energy supply and demand in a profitable way. The aim of this paper is to design a controller based on model predictive control (MPC) theory along with a nonlinear battery energy storage model to manage the amount of energy which is generated and sold to the electricity market with respect to plant and battery constraints. The proposed control scheme follows a decision policy of selling more energy at high price regime and storing it when price is low in compliance with the electricity market pattern of Australia. The goal of the control is to maximize profit of selling energy dispatched to the grid while using BESS, given forecasted dispatch price and wind power. The efficiency of this control strategy has been evaluated in simulation enshrinement by applying to actual data taken from an Australian wind farm and NSW electricity market.
机译:在风电厂中实施电池储能系统(BESS),为电厂运营商提供了一个以有利可图的方式在能源供需之间取得平衡的机会。本文的目的是设计一种基于模型预测控制(MPC)理论以及非线性电池储能模型的控制器,以管理与工厂和电池约束相关的发电量和售给电力市场的电量。拟议的控制方案遵循一项决策政策,即以高价出售更多的能源,并在价格低廉时将其存储,以符合澳大利亚的电力市场格局。控制的目标是在给定预测的调度价格和风能的情况下,在使用BESS的同时将分配给电网的出售能源的利润最大化。通过应用到来自澳大利亚风电场和新南威尔士州电力市场的实际数据,已在仿真封存中评估了该控制策略的效率。

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