基于改进概率规划算法的农业园区综合能源系统优化调度

doi:10.3969/j.issn.2097-0706.2023.10.005

综合智慧能源 ›› 2023, Vol. 45 ›› Issue (10): 35-43.doi: 10.3969/j.issn.2097-0706.2023.10.005

基于改进概率规划算法的农业园区综合能源系统优化调度

刘彦茹^a(), 张蕊萍^b, 董海鹰^a^,^*()

兰州交通大学 a.新能源与动力工程学院; b.自动化与电气工程学院，兰州 730070

收稿日期:2023-06-08 修回日期:2023-06-27 出版日期:2023-10-25 发布日期:2023-10-27
通讯作者: *董海鹰（1966），男，教授，博士生导师，博士，从事电力系统运行与优化控制、新能源发电等方面的研究，hydong@mail.lzjtu.cn。
作者简介:刘彦茹（1999），女，在读硕士研究生，从事综合能源系统优化调度研究，2018175773@qq.com；
张蕊萍（1974），女，副教授，硕士生导师，硕士，从事现代电力电子技术在现代电力系统中的应用等方面的研究。
基金资助:
国网甘肃省电力公司科技项目(W22KJ2714016)

Optimal scheduling of integrated energy systems in agricultural parks based on improved probability planning algorithm

LIU Yanru^a(), ZHANG Ruiping^b, DONG Haiying^a^,^*()

a. School of New Energy and Power Engineering;b. School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China

Received:2023-06-08 Revised:2023-06-27 Online:2023-10-25 Published:2023-10-27
Supported by:
Science and Technology Project of State Grid Gansu Electric Power Company(W22KJ2714016)

摘要/Abstract

摘要：

针对农业园区综合能源系统能耗成本高和可再生能源消纳率低的问题，提出了一种基于改进概率规划算法的农业园区综合能源系统优化运行方法。首先，针对农业园区能源多元化的特点，构建农业园区综合能源系统整体架构；然后，基于农业园区负荷的可调节特性，以系统运行经济最优为目标函数建立农业园区综合能源系统优化运行模型；最后，对概率规划算法进行改进，用高斯概率分布代替三角概率分布，将不确定性最佳化问题转换为确定性最佳化问题。以西北某农业园区为例进行算例分析，结果表明，使用改进的概率规划算法对农业园区综合能源系统优化可降低园区的综合运行成本，夏季典型日系统运行成本减少了45.52%，新能源消纳率提高了35.57百分点；冬季典型日系统运行成本减少了37.42%，新能源消纳率提高了26.25百分点。

关键词: 综合能源系统, 农业园区, 可再生能源, 概率规划算法, 高斯概率分布, 可调节负荷, 新能源消纳率

Abstract:

To address the problems of high energy consumption and low renewable energy accommodation capacity in an integrated energy system of an agricultural park， an optimal scheduling method based on improved dynamic probabilistic planning is proposed for the system. The overall structure of an integrated energy system is established considering the diversity of energy sources in the agricultural park. Then， based on the loads' adjustability of the agricultural park， the optimal scheduling model for the integrated energy system is established with the minimum total operating cost as the objective function. Finally， by replacing Gaussian probability distributions with triangular probability distributions， the uncertainty optimization problems of probabilistic planning algorithm are transformed into deterministic optimization problems. Testing the improved probabilistic planning algorithm on an agricultural park in the Northwest of China， the test results show that the proposed algorithm can reduce the comprehensive operation cost of the integrated energy system in the agricultural park. In summer， the daily operating cost of the system can be reduced by 45.52%， and the new energy consumption rate can be increased by 35.57 percentage points.In winter， the daily operating cost of the system is reduced by 37.42%， and the new energy consumption rate is increased by 26.25 percentage points.

Key words: integrated energy system, agricultural park, renewable energy, probability planning algorithm, Gaussian probability distributions, adjustable load, new energy consumption rate

中图分类号:

TK019

刘彦茹, 张蕊萍, 董海鹰. 基于改进概率规划算法的农业园区综合能源系统优化调度[J]. 综合智慧能源, 2023, 45(10): 35-43.

LIU Yanru, ZHANG Ruiping, DONG Haiying. Optimal scheduling of integrated energy systems in agricultural parks based on improved probability planning algorithm[J]. Integrated Intelligent Energy, 2023, 45(10): 35-43.

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类型	时段	价格
峰值电价	07:00—11:00 19:00—20:00	0.97
平值电价	11:00—18:00 21:00—23:00	0.61
谷值电价	23:00—07:00	0.35

设备	维护费用
光伏发电设备	0.015
风力发电设备	0.098
余热锅炉	0.020
微型燃气轮机	0.080
沼气锅炉	0.020
蓄电池组	0.010
空气源热泵	0.030

设备	参数	数值
光伏太阳能板	发电功率上限/kW	500
风力发电系统	发电功率上限/kW	200
微型燃气轮机	最大发电功率/kW	200
	发电效率	0.35
	热损耗系数	0.03
沼气锅炉	制热效率	0.90
沼气锅炉	制热功率上限/kW	200
余热锅炉	热回收效率	0.60
余热锅炉	热输出效率	0.80
电制热设备	制热效率	2.30
电制热设备	热功率输出上限/kW	400
电制热设备	制冷效率	3.40
电制热设备	冷功率输出上限/kW	140
空气源热泵	热转换系数	3.64
空气源热泵	换热功率上限/kW	200

典型日	参数	优化前	优化后
夏季典型日	总费用/元	6 355.0	3 462.1
夏季典型日	新能源消纳率/%	60.38	95.75
冬季典型日	总费用/元	9 633.7	6 028.3
冬季典型日	新能源消纳率/%	72.15	98.40

基于改进概率规划算法的农业园区综合能源系统优化调度

Optimal scheduling of integrated energy systems in agricultural parks based on improved probability planning algorithm

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