考虑风电和电动汽车不确定性的综合能源系统日前经济调度

doi:10.12204/j.issn.1000-7229.2020.12.008

电力建设 ›› 2020, Vol. 41 ›› Issue (12): 82-91.doi: 10.12204/j.issn.1000-7229.2020.12.008

考虑风电和电动汽车不确定性的综合能源系统日前经济调度

王晞¹, 徐浩¹, 王海燕¹, 陈博¹, 王长浩², 刘洋²

1.国网四川省电力公司经济技术研究院,成都市610041
2.四川大学电气工程学院,成都市610065

收稿日期:2020-06-12 出版日期:2020-12-01 发布日期:2020-12-04
通讯作者: 王长浩
作者简介:王晞(1969),男,学士,高级工程师,研究方向为电力市场、电网规划;|徐浩(1986),男,博士,高级工程师,研究方向为电力市场、电网规划;|王海燕(1983),女,硕士,高级工程师,研究方向为电力市场、电网规划;|陈博(1986),男,本科,高级工程师,研究方向为电力市场、电网规划;|刘洋(1982),男,博士,副教授,硕士生导师,研究方向为能源互联网经济运行、电力数据精细化分析、新能源及储能优化配置研究。
基金资助:
国网四川省电力公司科技项目(521996180007)

Day-ahead Economic Dispatch of Integrated Energy System Considering Uncertainties of Wind Power and Electric Vehicles

WANG Xi¹, XU Hao¹, WANG Haiyan¹, CHEN Bo¹, WANG Changhao², LIU Yang²

1. State Grid Sichuan Economic Research Institute, Chengdu 610041,China
2. College of Electrical Engineering, Sichuan University, Chengdu 610065, China

Received:2020-06-12 Online:2020-12-01 Published:2020-12-04
Contact: WANG Changhao
Supported by:
Science and Technology Project of State Grid Sichuan Electric Power Company(521996180007)

摘要/Abstract

摘要：

综合能源系统中风力发电和电动汽车充放电的不确定性对系统运行的经济性有较大影响。考虑电动汽车的普及对综合能源系统的影响,根据电动汽车的不同出行和充电特性,细化区分各类电动汽车的运行模型;考虑风电出力的分布概率较难获取,通过较多历史数据驱动来构造一个基于不精确狄利克雷模型(imprecise Dirichlet model, IDM)的非参数模糊集,从而搭建一个考虑风电出力和电动汽车充放电不确定性的综合能源系统日前两阶段分布鲁棒调度模型。为了获得该模型的最优解,将其分解为一个混合整数线性规划主问题和一个具有max-min结构的子问题。利用对偶理论和大M方法,将子问题转化为MILP问题,利用列和约束生成(column and constration generation, CC&G)算法对主问题和转化后的子问题进行迭代求得最优解。算例分析表明,该模型能有效地应对风电出力与电动汽车充放电行为的不确定性。

关键词: 风电, 电动汽车, 日前经济调度, 数据驱动, 可调鲁棒优化

Abstract:

The uncertainty of wind power generation (WPG) output and charging and discharging of electric vehicles (EVs) has a great impact on the economy of integrated energy system(IES) operation. Considering the influence of the popularity of EVs on the IES, the operation models of various types of EVs are refined and differentiated according to the different travel and charging characteristics of EVs. Considering the uncertain probability of WPG output is difficult to obtain, a nonparametric fuzzy set based on imprecise Dirichlet model (IDM) is constructed on the basis of more historical data, so as to build a two-stage robust dispatch model for IES considering uncertainties of wind power and EVs. In order to obtain the optimal solution of the model, it is decomposed into a mixed integer linear programming (MILP) master problem and a sub-problem with max-min structure. By using duality theory and big M method, the sub-problem is transformed into a MILP problem, and the optimal solution of the main problem and the transformed sub-problem is iterated by column and constraint generation (C&CG) algorithm. Case studies show that the presented model can handle the uncertainties of wind power generation and EVs' behaviors.

Key words: wind power generation, electric vehicle, day-ahead economic dispatch, data-driven, adjustable robust optimization

中图分类号:

TM732

王晞, 徐浩, 王海燕, 陈博, 王长浩, 刘洋. 考虑风电和电动汽车不确定性的综合能源系统日前经济调度[J]. 电力建设, 2020, 41(12): 82-91.

WANG Xi, XU Hao, WANG Haiyan, CHEN Bo, WANG Changhao, LIU Yang. Day-ahead Economic Dispatch of Integrated Energy System Considering Uncertainties of Wind Power and Electric Vehicles[J]. ELECTRIC POWER CONSTRUCTION, 2020, 41(12): 82-91.

图/表 16

图1 综合能源系统示意图

Fig.1 Schematic diagram of the integrated energy system

图2 电动汽车充电需求

Fig.2 Charging demand of EVs

图3 供电调度结果

Fig.3 Dispatch results of power

图4 供热调度结果

Fig.4 Dispatch results of heat

表1 有无公交参与的成本对比

Table 1 Optimization results with or without bus participation

图5 有无公交车参与的日前调度决策方案

Fig.5 DED strategies with or without bus participation

图6 总价散点图

Fig.6 Scatter of total operation cost

表2 不同优化方法的成本比较

Table 2 Cost comparison of different optimization methods

表3 计算时长比较

Table 3 Comparison of computation time

图7 WPG出力不确定区间

Fig.7 Uncertain intervals of output of WPG

表4 不同历史数据量的比较

Table 4 Comparison of different quantity of historical data

图 A1 不确定参数预测值

Fig.A1 Prediction value of uncertain variables

表 A1 可控机组参数

Table A1 The parameters of CGs

表 A2 储能系统参数

Table A2 The parameters of storage systems

表 A3 微能源网分时电价

Table A3 TOU price of micro energy grid元·(kW·h)-1

表 A4 EV运行参数

Table A4 The parameters of EVs

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考虑风电和电动汽车不确定性的综合能源系统日前经济调度

Day-ahead Economic Dispatch of Integrated Energy System Considering Uncertainties of Wind Power and Electric Vehicles

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