# ArbitrageOptimisation
Optimisation algorithms for energy storage arbitrage
Repository contains three methods for optimising the operation of an energy storage device given a finite timeseries of future electricity prices.
Inputs are charging/discharging efficiency, capacity, charging and discharging power limits. MonteCarlo_optimisation.m can also consider a self-discharge and can include local renewable generation as well as constraints due to the combined effects of local demand and limited import/export capacities.
1) MonteCarlo_optimisation.m
From the paper "Towards an objective method to compare energy storage technologies: development and validation of a model to determine the upper boundary of revenue available from electrical price arbitrage". E Barbour et al. Energy Environ. Sci., 2012,5, 5425-5436.
2) Find_optimisation.m
An alternative optimisation method. Inspired by "Practical operation strategies for pumped hydroelectric energy storage (PHES) utilising electricity price arbitrage". Connelly et al. Energy Policy Volume 39, Issue 7, July 2011, Pages 4189–4196.
3) Fmincon_optimisation.m
Setting up the problem as a constrained optimisation and solving using the interior point algorithm.
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参考文献: [1]Practical operation strategies for pumped hydroelectric energy storage (PHES) utilising electricity price arbitrage - ScienceDirect [2]Towards an objective method to compare energy storage technologies: development and validation of a model to determine the upper boundary of revenue available from electrical price arbitrage 这份代码做的是储能的运行优化,以经济效益最大为目标。使用了三种不同的方法求解储能最优运行策略。 1 运行策略搜索 2.蒙特卡洛模拟法 3.fmincon函数优化方法
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开源代码分享.rar (10个子文件)
开源代码分享
Price_timeseries.txt 335B
MonteCarlo_optimisation.m 28KB
Revenue_Func.m 259B
LICENSE 1KB
说明.txt 211B
Find_optimisation.m 6KB
spot_price_2013.mat 102KB
README.md 1KB
Constraints_Fmincon.m 953B
Fmincon_optimisation.m 2KB
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