基于中枢解耦与演化博弈的多农业园区综合能源系统优化运行

doi:10.12204/j.issn.1000-7229.2022.02.004

电力建设 ›› 2022, Vol. 43 ›› Issue (2): 26-36.doi: 10.12204/j.issn.1000-7229.2022.02.004

基于中枢解耦与演化博弈的多农业园区综合能源系统优化运行

边辉¹(), 陈丽娜¹(), 马凡琳¹(), 张新²(), 姜金朋²()

1.国网平凉供电公司,甘肃省平凉市 744000
2.内蒙古科技大学信息工程学院,内蒙古自治区包头市 014010

收稿日期:2021-07-09 出版日期:2022-02-01 发布日期:2022-03-24
通讯作者: 张新 E-mail:bianhui2021@126.com;190686365@qq.com;799308467@qq.com;zhangxin19861986@126.com;2867387371@qq.com
作者简介:边辉(1977),男,硕士,工程师,主要研究方向为电力系统分析与控制,E-mail: bianhui2021@126.com;
陈丽娜(1986),女,硕士,高级经济师,主要研究方向为电力节能降耗相关技术,E-mail: 190686365@qq.com;
马凡琳(1994),女,硕士,工程师,主要研究方向为能源互联网技术,E-mail: 799308467@qq.com;
姜金朋(1997),男,硕士研究生,主要研究方向为综合能源系统控制技术,E-mail: 2867387371@qq.com。
基金资助:
国网甘肃省电力公司科技项目(522709200001)

Optimal Operation Strategy Based on Central Decoupling and Evolutionary Game for Multiple Agricultural Integrated Energy Systems

BIAN Hui¹(), CHEN Lina¹(), MA Fanlin¹(), ZHANG Xin²(), JIANG Jinpeng²()

1. State Grid Pingliang Electric Power Supply Company, Pingliang 744000, Gansu Province,China
2. School of Information Engineering, Inner Mongolia University of Science & Technology, Baotou 014010, Inner Mongolia Autonomous Region, China

Received:2021-07-09 Online:2022-02-01 Published:2022-03-24
Contact: ZHANG Xin E-mail:bianhui2021@126.com;190686365@qq.com;799308467@qq.com;zhangxin19861986@126.com;2867387371@qq.com
Supported by:
Science and Technology Program of State Grid Gansu Electric Power Company(522709200001)

摘要/Abstract

摘要：

农业园区用能需求集中且源荷多元化,当多个农业园区缺少合理运行方法且分布式接入农网,势必会对农业园区效益与农网安全产生不利影响。针对上述问题,提出一种基于中枢解耦与演化博弈的多农业园区综合能源系统(agricultural integrated energy system,AIES)优化运行方法。首先,构建含电-气-热的AIES耦合供能结构和农业园区需求侧响应模型;然后,利用能量中枢解耦方法将农网与园区解耦,建立农网层与多园区层的博弈模型,农网层考虑电压安全和用能成本,园区层考虑经济效益和农作物供能满意度;再次,提出基于多目标粒子群优化的演化博弈算法,解决了多园区、多目标复杂博弈下的强理性、难以达到Nash均衡的问题;最后,通过算例仿真验证了所提方法的可行性和有效性,实现了多农业园区综合能源系统的优化运行。

关键词: 中枢解耦, 演化博弈, 农网, 农业园区综合能源系统(AIES), 粒子群算法

Abstract:

There are concentrated energy demands and a variety of sources and loads in agricultural parks. When the multiple agricultural parks are dispersedly accessed to rural distribution network and lack of reasonable operation methods, it is bound to have a negative impact on the safety of rural distribution network and the benefit of agricultural parks. In view of the above problems, an optimal operation method based on central decoupling and evolutionary game for multiple agricultural integrated energy system (AIES) is proposed. Firstly, the AIES architecture with electricity-gas-heat and model of the demand response are constructed. Secondly, the rural distribution network is decoupled from the AIES by central decoupling. A two-layer game model including rural network layer and multi-park layer is established. The voltage safety margin and the energy cost are considered in the rural distribution network layer. The satisfaction of crop energy supply and economic benefit are considered in the agricultural park layer. Thirdly, the evolutionary game based on multi-objective particle swarm optimization is proposed. The problem of strong rationality and difficulty in achieving Nash equilibrium in a complex game with multiple parks and goals are solved. Finally, the feasibility and effectiveness of the method are verified by simulation examples. The optimal operation of multiple AIES is achieved.

Key words: central decoupling, evolutionary game, rural distribution network, agricultural integrated energy system (AIES), particle swarm optimization

中图分类号:

TM73

边辉, 陈丽娜, 马凡琳, 张新, 姜金朋. 基于中枢解耦与演化博弈的多农业园区综合能源系统优化运行[J]. 电力建设, 2022, 43(2): 26-36.

BIAN Hui, CHEN Lina, MA Fanlin, ZHANG Xin, JIANG Jinpeng. Optimal Operation Strategy Based on Central Decoupling and Evolutionary Game for Multiple Agricultural Integrated Energy Systems[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(2): 26-36.

图/表 12

图1 AIES双向耦合能源系统示意图

Fig.1 Schematic diagram of AIES bidirectional coupling energy system

图2 演化博弈流程

Fig.2 Flow chart of evolutionary game

图3 农网线路拓扑

Fig.3 Topology of rural network

图4 AIES典型日负荷及环境情况

Fig.4 AIES typical daily load and environmental conditions

图5 MOPSO优化过程对比分析

Fig.5 Comparative analysis of MOPSO optimization process

图6 演化博弈与经典博弈算法对比分析

Fig.6 Comparative analysis of evolutionary game and classic game algorithm

图7 电网与农业园区的交换功率

Fig.7 Power exchange between grid and AIES

图8 AIES2园区内可控电功率堆叠

Fig.8 Electric power stacking in AIES2 park

图9 AIES3园区的柔性负荷与燃气发电功率

Fig.9 Flexible load and G2P power in AIES3 park

表1 园区需求侧响应日指标对比

Table 1 Comparison of daily indicators of park demand-side response

表2 各方案下系统的日运行结果对比

Table 2 Comparison of daily operating targets under each scheme

表3 其他日运行结果对比

Table 3 Comparison of daily control indicators under various control plans

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基于中枢解耦与演化博弈的多农业园区综合能源系统优化运行

Optimal Operation Strategy Based on Central Decoupling and Evolutionary Game for Multiple Agricultural Integrated Energy Systems

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