综合能源系统规划设计方法研究

doi:10.3969/j.issn.1000-7229.2016.02.011

摘要/Abstract

摘要：

本文研究综合能源系统的优化规划问题，以提高其综合能源利用效率。首先，建立了以电为核心的综合能源系统规划两层优化模型，系统运行调度优化模型以及系统规划优化模型，以系统优化运行指标作为系统规划优化的依据。该模型分别以经济性和环保性最优为目标，重点考虑了在采暖期和空调期综合能源系统的运行约束。其次，针对两层优化模型分别提出了适合的求解算法，禁忌搜索算法和粒子群算法。最后，给出算例验证本模型和算法可得到经济性和环保性目标下的综合能源系统优化规划方案。两种准则下的规划方案存在矛盾，经济性准则下倾向配置储能设备以充分利用分时电价，而环保性准则倾向配置其他高能效的供能设备。

关键词: 综合能源系统, 多目标, 优化规划, 粒子群算法, 禁忌搜索

Abstract:

This paper focuses on the optimal planning issue of integrated energy system （IES） to improve the energy efficiency of IES. Firstly, we construct a two-layer optimization model for IES planning with power as core, which includes the optimization models for IES dispatching and IES planning. And the operation indicators of system optimization are taken as the basis of system planning optimization. The objective functions of this model are under the economic optimum criterion and the environmental optimum criterion respectively, and it also emphasizes on the operation constraints of IES on periods of heating and cooling. Secondly, we propose particle swarm optimization algorithm and tabu search algorithm to solve the two-layer optimization model respectively. Finally, the two-layer model and the algorithms are verified through a case study to be useful for the optimal planning schemes of IES under the economic and environmental criterion respectively. There is contradiction between the planning scheme under economic criterions and that under environment criterion. The former one is inclined to energy storages to take advantage of time-of-use electricity price, while the latter one is inclined to energy supply devices with high efficiency.

Key words: integrated energy system, multi-objective, optimal planning, particle swarm optimization, tabu search

中图分类号:

TM 732

于波，孙恒楠，项添春，张鹏. 综合能源系统规划设计方法研究[J]. 电力建设, 2016, 37(2): 78-84.

YU Bo, SUN Hengnan, XIANG Tianchun, ZHANG Peng. Planning Design Method of Integrated Energy System[J]. Electric Power Construction, 2016, 37(2): 78-84.

参考文献

［1］JIN H, HONG H, WANG B, et al. A new principle of synthetic cascade utilization of chemical energy and physical energy［J］. Science in China Series E: Technological Sciences, 2005, 48（2）:163-179.
［2］STANISLAV P, BRYAN K, TIHOMIR M. Smart grids better with integrated energy system［C］// Electrical Power & Energy Conference （EPEC）. Montreal: IEEE, 2009: 1-8.
［3］刘柏良, 黄学良, 李军. 计及可时移负荷的海岛微网电源优化配置［J］. 中国电机工程学报, 2014, 34（25）: 4250-4258.
LIU Boliang, HUANG Xueliang, LI Jun. Optimal sizing of distributed generation in a typical island microgrid with time-shifting load［J］. Proceedings of the CSEE, 2014, 34（25）: 4250-4258.
［4］王成山, 李鹏. 分布式发电、微网与智能配电网的发展与挑战［J］. 电力系统自动化, 2010, 34（2）: 10-14.
WANG Chengshan, LI Peng. Development and challenges of distributed generation, the micro-grid and smart distribution system［J］. Automation of Electric Power Systems, 2010, 34（2）: 10-14.
［5］RONG A Y, LAHDELMA R. An efficient linear programming model and optimization algorithm for trigeneration ［J］. Applied Energy, 2005, 82（1）: 40-63.
［6］MEHLERI E D, SARIMVEIS H, MARKATOS N C, et al. A mathematical programming approach for optimal design of distributed energy systems at the neighbourhood level ［J］. Energy, 2012, 44（1）: 96-104.
［7］WANG J J, JING Y Y, ZHANG C F. Optimization of capacity and operation for CCHP system by genetic algorithm ［J］. Applied Energy, 2010, 87（4）: 1325-1335.
［8］WANG J J, ZHAI Z Q, JING Y Y, et al. Optimization design of BCHP system to maximize to save energy and reduce environmental impact ［J］. Energy, 2010, 35（8）: 3388-3398.
［9］MEYBODI M A, BEHNIA M. Impact of carbon tax on internal combustion engine size selection in a medium scale CHP system［J］. Applied Energy, 2011, 88（12）: 5153-5163.
［10］CARVALHO M, SERRA L M, LOZANO M A. Optimal synthesis of trigeneration systems subject to environmental constraints［J］. Energy, 2011, 36（6）: 3779-3790.
［11］WANG J J, JING Y Y, ZHANG C F, et al. A fuzzy multi-criteria decision-making model for trigeneration system ［J］. Energy Policy, 2008, 36（10）: 3823-3832.
［12］ZHOU Z, LIU P, LI Z, et al. An engineering approach to the optimal design of distributed energy systems in China ［J］. Applied Thermal Engineering, 2012, 53（2）: 387-396.
［13］黎静华，桑川川. 能源综合系统优化规划与运行框架［J］. 电力建设, 2015, 36（8）: 41-48.
LI Jinghua, SANG Chuanchuan. Discussion on optimal planning and operation framework for integrated energy system［J］. Electric Power Construction, 2015, 36（8）: 41-48.
［14］田卫华, 乔立贤, 刘莉娜, 等. 基于园区的冷热电多种能源系统设计与应用［J］. 黑龙江科技信息, 2014（33）:120-122.
［15］郭力, 刘文建, 焦冰琦, 等. 独立微网系统的多目标优化规划设计方法［J］. 中国电机工程学报, 2014, 34（ 4）: 524-536.
GUO Li, LIU Wenjian, JIAO Bingqi, et al. Multi-objective optimal planning design method for stand-alone microgrid system ［J］. Proceedings of the CSEE, 2014, 34（ 4）: 524-536.
［16］刘长杰. 物联网蓄能电锅炉技术及应用研究［D］. 长春: 吉林大学, 2011.
LIU Changjie. Study on heimer small appliances marketing channal management［D］. Changchun: Jilin University, 2011.
［17］朱文莉. 既有居住建筑中太阳能热水系统的应用［D］. 天津: 天津大学, 2007.
ZHU Wenli. Application of solar water heating system in the existed residential building［D］. Tianjin: Tinjin University, 2007.
［18］SWARDT D. A performance comparison between an air – source and a ground source reversibIe heat pump ［J］. InternationaI J of Energy Research, 2001, 25（10）: 899-910.
［19］ZHANG P, MA Z W. An overview of fundamental studies and apphcations of phase change material slurries to secondary loop refrigeration and air conditioning systems ［J］. Renewable and Sustainable Energy Reviews, 2012, 16（7）: 5021-5058.
［20］刘梦璇, 王成山, 郭力，等. 基于多目标的独立微电网优化设计方法［J］. 电力系统自动化, 2012, 36（17）: 34-39.
LIU Mengxuan, WANG Chengshan, GUO Li, et al. An optimal design method of multi-objective based island microgrid［J］. Automation of electric power systems, 2012, 36（17）: 34-39.

[1]	朱旭, 杨军, 李高俊杰, 董旭柱, 刘首文. 计及虚拟储能系统的区域综合能源系统优化调度策略[J]. 电力建设, 2020, 41(8): 99-110.
[2]	檀勤良, 丁毅宏, 李渝, 李锐. 考虑经济环境平衡的风光火联合外送调度策略多目标优化[J]. 电力建设, 2020, 41(8): 129-136.
[3]	方朝雄，吴晓升，江岳文. 考虑暂态稳定性的网储多目标双层优化[J]. 电力建设, 2020, 41(7): 58-66.
[4]	张浩禹，邱晓燕，周晟锐，赵有林，李凌昊，张楷 . 基于机会约束目标规划的多电-气互联综合能源系统分布式优化模型[J]. 电力建设, 2020, 41(7): 82-91.
[5]	魏震波，任小林，黄宇涵. 考虑综合需求侧响应的区域综合能源系统多目标优化调度[J]. 电力建设, 2020, 41(7): 92-99.
[6]	杨蕾，吴琛，黄伟，郭成，向川，何鑫，邢超，奚鑫泽，周鑫，杨博，张孝顺. 含高比例风光新能源电网的多目标无功优化算法[J]. 电力建设, 2020, 41(7): 100-109.
[7]	苏俊妮，张鑫，赵俊炜，张锐，曲明辉，杨艳红. 计及需求响应和储能的电-气综合能源系统优化调度[J]. 电力建设, 2020, 41(5): 1-8.
[8]	林紫菡，蒋晨威，陈明辉，尚慧玉，赵宏伟，阳曾，王一铮，文福拴. 计及柔性负荷的综合能源系统低碳经济运行[J]. 电力建设, 2020, 41(5): 9-18.
[9]	李鹏，杨莘博，李慧璇，田春筝，李锰，谭忠富. 计及多能源多需求响应手段的园区综合能源系统优化调度模型[J]. 电力建设, 2020, 41(5): 45-57.
[10]	赵海兵，张焕云，葛杨，程浩原，高文浩，艾芊. 细胞-组织认知下的主动配电系统双层多目标控制策略[J]. 电力建设, 2020, 41(5): 81-92.
[11]	郇嘉嘉，肖勇，陆文升，刘洪，彭家颖，潘险险，李吉峰. 基于复杂网络理论的区域综合能源系统可靠性评估[J]. 电力建设, 2020, 41(4): 1-9.
[12]	周斌，张卫国，崔文佳，毛东宇，陈中. 考虑预警负荷的电动汽车充放电优化策略[J]. 电力建设, 2020, 41(4): 10-21.
[13]	王李龑，许强，黄开艺，吴健，艾芊，张亚新，贾轩. 计及新能源及负荷不确定性的多能微网系统两阶段随机规划方法[J]. 电力建设, 2020, 41(4): 100-108.
[14]	付建民，杨斌，王小君，孙庆凯，张义志，和敬涵，张放. 考虑建筑储能特性的高铁站综合能源系统规划方法[J]. 电力建设, 2020, 41(3): 13-22.
[15]	沈青文，程若发，付鑫. 一种计及脆弱性指标的分布式电源优化配置方法[J]. 电力建设, 2020, 41(3): 54-61.