基于混合整数线性规划的家庭微电网能量优化研究

朱洁; 陈娅兰; 张淼; 赵贺; 万庆祝; 孙健; 王鑫

引用本文:	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.
	ZHU Jie,CHEN Yalan,ZHANG Miao,et al.Household micro grid energy optimal research based on MILP[J].Power System Protection and Control,2017,45(22):96-101

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基于混合整数线性规划的家庭微电网能量优化研究
朱洁¹,陈娅兰^2,3,张淼¹,赵贺¹,万庆祝³,孙健¹,王鑫⁴
(1.国网北京市电力公司电力科学研究院, 北京 100075;2.国网江西省电力公司检修分公司，江西南昌 330046; 3.北方工业大学, 北京 100144;4.国网山西省电力公司检修分公司, 山西太原 030006)

摘要:

灵活互动的智能电网鼓励用户侧与电网的积极互动，在互动中促进用户与电网企业的互利共赢。实时电价可作为电网企业发布系统调节需求的一种方式。同时，光伏系统、储能系统与电动汽车为家庭积极响应电网调节提供了可能。在实时电价的环境下，在含有光伏系统、储能系统和电动汽车的家庭微电网中，以蓄电池和电动汽车作为家庭中参与能量优化的主要对象，首先建立了蓄电池的充放电模型和电动汽车的充电模型；其次建立了以家庭微电网系统总运行费用最小为目标的能量优化模型，并采用了混合整数线性规划法对模型进行了求解。最后仿真验证，该模型能够有效地减少系统运行费用。

关键词: 家庭微电网蓄电池电动汽车实时电价能量优化

DOI：10.7667/PSPC161775

分类号:

基金项目:北京市教委专项基金资助项目(XN097);北京市电力节能关键技术协同创新(2011)基金项目(PXM2016_ 014212_000016)

Household micro grid energy optimal research based on MILP

ZHU Jie¹,CHEN Yalan^2,3,ZHANG Miao¹,ZHAO He¹,WAN Qingzhu³,SUN Jian¹,WANG Xin⁴

(1. State Grid Beijing Electric Power Research Institute, Beijing 100075, China;2. Maintenance Branch, State Grid Jiangxi Electric Power Company, Nanchang 330046, China;3. North China University of Technology, Beijing 100144, China;4. Maintenance Branch, State Grid Shanxi Electric Power Company, Taiyuan 030006, China)

Abstract:

Flexible and interactive smart grid encourages users and grid have a positive interaction. The user and the grid can get mutual benefit and win-win results in smart grid. The real-time electricity price can be a way of the grid releasing requirements. At the same time, PV system, energy storage system and electric vehicle provide possibility for the house positive response to the grid. Based on the real-time electricity price environment, in a micro grid including PV system, energy storage system and electric vehicle, this paper takes the storage system and the electric vehicle as the main loads of the house participate in the energy optimization. First, it establishes the battery charge/discharge model and the electric vehicle charging model. Second, it establishes the micro grid system energy optimization model with minimum the total cost as the goal. Then the mixed integer linear programming method is used to solve the model. Finally the simulations verify that the model can effectively reduce the system operation cost. This work is supported by the Education Committee of Beijing Basic Research Program of China (No. XN097) and Foundation of Collaborative Innovation Center of Key Power Energy-Saving Technologies in Beijing (No. PXM2016_014212_000016).

Key words: household micro grid storage battery electric vehicle real-time electricity price energy optimization

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