面向含风光储和EV的配网能量综合管理控制优化模型
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摘要
本文提出了优化含有风光储和电动汽车的配网能量管理控制优化混合整数线性规划模型。首先分析了含有风光储和电动汽车能量管理系统的现状,建立了以配网全局用能成本最小为目标的目标函数,考虑了含电网运行、传统机组、光伏、风电、储能和电动汽车充放电约束的多维约束条件。然后提出利用Taguchi实验设计方法对影响用能成本的主要变量进行模拟,包括用户需求曲线、电动汽车渗透率以及光照辐射强度,并利用启发式算法求解该模型。最后通过仿真分析,得到了本文日内区域内能量管理控制的结果,说明了本文模型在能量优化使用和用能成本削减方面的有效性。
This paper proposes an optimized hybrid integer linear programming model for optimizing the energy management control of distribution network with wind storage and electric vehicles. Firstly, the current situation of wind energy storage and electric vehicle energy management system is analyzed, and the objective function aiming at the minimum global energy consumption of distribution network is established, considering theconstraints of grid operation, traditional unit, photovoltaic, wind power, energy storage and electric vehicle charging. Then, the Taguchi experimental design method is used to simulate the main variables affecting energy cost, including user demand curve, electric vehicle penetration rate and solar irradiance, and the heuristic algorithm is used to solve the model. Finally, through the simulation analysis, the results of energy management control in the intra-day region are obtained, and the effectiveness of the model in energy optimization and energy cost reduction is illustrated.
This paper proposes an optimized hybrid integer linear programming model for optimizing the energy management control of distribution network with wind storage and electric vehicles. Firstly, the current situation of wind energy storage and electric vehicle energy management system is analyzed, and the objective function aiming at the minimum global energy consumption of distribution network is established, considering theconstraints of grid operation, traditional unit, photovoltaic, wind power, energy storage and electric vehicle charging. Then, the Taguchi experimental design method is used to simulate the main variables affecting energy cost, including user demand curve, electric vehicle penetration rate and solar irradiance, and the heuristic algorithm is used to solve the model. Finally, through the simulation analysis, the results of energy management control in the intra-day region are obtained, and the effectiveness of the model in energy optimization and energy cost reduction is illustrated.
引文
[1]李威,丁杰,姚建国.智能电网发展形态探讨[J].电力系统自动化,2010,34(2):24-28.
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[6]王尧,李欢欢,鞠立伟等.面向智能化调度的微网群能量耦合协调控制策略及仿真分析[J].电网技术,2018(7):2232-2239
[7]秦亚斌,韩肖清,王康宁.含混合储能的微网孤网运行能量管理策略[J].河南科技大学学报(自然科学版),2014(4):31-37.
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[9]朱洁,陈娅兰,张淼等.基于混合整数线性规划的家庭微电网能量优化研究[J].电力系统保护与控制,2017,45(22):96-101.
[10] ZAKARIAZADEH A,JADID S,SIANO P.Integrated operation of electric vehicles and renewable generation in a smart distribution system[J].Energy Conversion&Management,2015,(89):99-110.
[11] TASCIKARAOGLU A,BOYNUEGRI A R,UZUNOGLU M.A demand side management strategy based on forecasting of residential renewable sources:A smart home system in Turkey[J].Energy&Buildings,2014,(80):309-320.
[2]刘兴杰,杜哲,严逍.考虑电动汽车智能充放电的独立微网优化配置[J].电网与清洁能源,2017,33(6):87-94.
[3]吴健超.含分布式能源的家庭能量管理系统优化调度研究[D].南京:东南大学,2017.
[4]窦晓波,袁简,吴在军等.并网型风光储微电网容量改进优化配置方法[J].电力自动化设备,2016,36(3):26-32.
[5]吴铁洲,陈丝恒,曾艺师.基于模糊控制的EV混合储能能量管理策略研究[J].可再生能源,2017,35(6):919-925.
[6]王尧,李欢欢,鞠立伟等.面向智能化调度的微网群能量耦合协调控制策略及仿真分析[J].电网技术,2018(7):2232-2239
[7]秦亚斌,韩肖清,王康宁.含混合储能的微网孤网运行能量管理策略[J].河南科技大学学报(自然科学版),2014(4):31-37.
[8] SONG J,DONG F,ZHAO J,et al.Optimal design of permanent magnet linear synchronous motors based on Taguchi method[J].Iet Electric Power Applications,2017,11(1):41-48.
[9]朱洁,陈娅兰,张淼等.基于混合整数线性规划的家庭微电网能量优化研究[J].电力系统保护与控制,2017,45(22):96-101.
[10] ZAKARIAZADEH A,JADID S,SIANO P.Integrated operation of electric vehicles and renewable generation in a smart distribution system[J].Energy Conversion&Management,2015,(89):99-110.
[11] TASCIKARAOGLU A,BOYNUEGRI A R,UZUNOGLU M.A demand side management strategy based on forecasting of residential renewable sources:A smart home system in Turkey[J].Energy&Buildings,2014,(80):309-320.