考虑储能参与备用配置的园区综合能源系统日前经济调度模型

doi:10.12204/j.issn.1000-7229.2022.12.011

电力建设 ›› 2022, Vol. 43 ›› Issue (12): 103-111.doi: 10.12204/j.issn.1000-7229.2022.12.011

考虑储能参与备用配置的园区综合能源系统日前经济调度模型

杨瑞琳¹^,²(), 李可然², 刘俊勇¹, 刘继春¹, 向月¹

1.四川大学电气工程学院,成都市610065
2.国网四川省电力公司泸州供电公司,四川省泸州市646000

收稿日期:2022-06-01 出版日期:2022-12-01 发布日期:2022-12-06
通讯作者: 杨瑞琳 E-mail:605324653@qq.com
作者简介:李可然(1995),女,硕士,主要研究方向为综合能源系统优化运行;
刘俊勇(1963),男,博士,教授,博士生导师,主要从事电力系统大数据技术、能源互联网研究、电力市场研究;
刘继春(1975),男,博士,教授,博士生导师,主要从事电力系统经济性分析及电力市场研究;
向月(1987),男,博士,副教授,博士生导师,主要从事电动汽车接入、主动配电网投资规划与运行研究。
基金资助:
国家自然科学基金项目(U2066209)

Day-ahead Economic Dispatch Model of Park Integrated Energy System Considering Reserve Allocation of Energy Storage

YANG Ruilin¹^,²(), LI Keran², LIU Junyong¹, LIU Jichun¹, XIANG Yue¹

1. School of Electrical Engineering,Sichuan University,Chengdu 610065,China
2. State Grid Luzhou Power Supply Company,Luzhou 646000,Sichuan Province,China

Received:2022-06-01 Online:2022-12-01 Published:2022-12-06
Contact: YANG Ruilin E-mail:605324653@qq.com
Supported by:
National Natural Science Foundation of China(U2066209)

摘要/Abstract

摘要：

备用容量可以有效应对不确定性风险,能够保障园区综合能源系统的安全运行。然而,以往研究主要利用发电侧备用能力来应对不确定性风险,未能考虑储能装置等其他柔性资源的备用作用。因此,文章提出一种考虑储能装置参与备用配置的园区综合能源系统日前经济调度模型,园区内部通过电储能装置、柴油发电机与热电联产机组提供备用容量平抑内部风光荷的波动性。为了平衡备用配置对于园区综合能源系统运行安全性与经济性的影响,引入机会约束规划方法构建计及可再生能源和负荷不确定性的概率备用配置模型,并将备用配置模型嵌入到日前优化调度模型中以提升日前能量与备用决策计划的合理性。基于离散化步长变换法和随机模拟方法将原来非凸机会约束规划问题转化为可求解的混合整数线性规划问题。仿真结果表明,储能装置参与备用配置可以提升发电机组运行的灵活性,从而提升系统运行的经济性;通过向上、向下调节备用约束成立的置信水平可以改变园区备用决策的保守程度,从而平衡系统运行的经济性与可靠性需求。

关键词: 机会约束规划, 园区综合能源系统, 离散步长变换, 备用配置, 储能

Abstract:

Reserve can effectively deal with the risk brought by uncertainties and ensure the safe operation of park integrated energy system (PIES). However, previous studies mainly focused on the reserve capacity of generators to deal with the risk brought by uncertainties, and did not consider the reserve role of other flexible resources such as energy storage devices. An economic scheduling model of PIES is proposed in this paper, which considers the participation of energy storage devices in reserve allocation. The reserve capacity provided by electric energy storage, diesel generator and combined heat and power (CHP) is utilize to stabilize the volatility of wind and photovoltaic power. In order to balance the influence of reserve allocation on the operation safety and economy of PIES, a reserve allocation model considering renewable energy and load uncertainties is constructed on the basis of chance constrained programming (CCP). The reserve allocation model is embedded into the day-ahead optimal scheduling model to improve the rationality of day-ahead energy and reserve decision-making plan. By using discrete step transformation and stochastic simulation method, the original non-convex CCP problem is transformed into a solvable mixed integer linear programming (MILP) problem. The simulation results show that the participation of energy storage devices in reserve allocation can improve the operation flexibility of generators, thus improving the economy of system operation. By adjusting the confidence level of the upward and downward reserve constraint, the conservative degree of the park reserve decision can be changed, thus balancing the economy and reliability requirements of the system operation.

Key words: chance-constrained programming, park integrated energy system, discretized step transformation, reserve allocation, energy storage

中图分类号:

TM73

杨瑞琳, 李可然, 刘俊勇, 刘继春, 向月. 考虑储能参与备用配置的园区综合能源系统日前经济调度模型[J]. 电力建设, 2022, 43(12): 103-111.

YANG Ruilin, LI Keran, LIU Junyong, LIU Jichun, XIANG Yue. Day-ahead Economic Dispatch Model of Park Integrated Energy System Considering Reserve Allocation of Energy Storage[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(12): 103-111.

图/表 16

表1 风电输出功率概率序列

Table 1 Probability sequence of wind power output

图1 PIES拓扑结构

Fig.1 Topology of a PIES

表A1 热电联产与柴油发电机组参数

Table A1 Parameters of CHP and diesel generator

表A2 储能装置参数

Table A2 Parameters of energy storage devices

表A3 电锅炉与燃气锅炉参数

Table A3 Parameters of EB and GF

表A4 其他参数

Table A4 Other parameters

表A5 价格参数

Table A5 Price parameters

图2 购售能价格曲线

Fig.2 Price curve of energy purchase and sale

表2 风电与光伏参数

Table 2 Parameters of WT and PV

表3 运行成本与备用结果对比

Table 3 Comparison results of operation cost and reserve

图3 储能参与备用优化决策结果

Fig.3 Optimal decision result of adjustable reserve of ESS

图4 电平衡情况

Fig.4 Electric power balance

表4 不同场景下的总发电量

Table 4 Total power generation of different cases kW·h

图5 热平衡情况

Fig.5 Heat balance

图6 运行成本随置信水平变化情况

Fig.6 Operating cost with different confidence level

表5 不同离散步长下的运行成本

Table 5 Operating cost under different discrete step

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考虑储能参与备用配置的园区综合能源系统日前经济调度模型

Day-ahead Economic Dispatch Model of Park Integrated Energy System Considering Reserve Allocation of Energy Storage

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