Multi-Objective Optimal Dispatch for Integrated Energy System Considering Integrated Demand Response

doi:10.12204/j.issn.1000-7229.2020.07.012

Abstract

Abstract: In order to reconcile several dispatch objectives such as the cost of energy consumptions， pollutant emissions and wind power accommodation in the integrated energy system， the multi-objective optimal dispatch model of the integrated energy system considering integrated demand response is established in this paper. Firstly， the modeling of the regional integrated energy system including some devices such as power to gas， energy storage， and combined heat and power units is elaborated， and the modeling of the integrated demand response which consists of load shedding， load shifting， and load substituting is also considered in the system to decrease peak-valley difference. Secondly， the objectives that are respectively to minimize the comprehensive cost， wind power curtailment， and cost of pollutant treatment are established. The proposed multi-objective optimization method， which firstly utilizes multi-objective weighted fuzzy programming to obtain the Pareto front， and then pursue the minimum Euclidean distance between all the Pareto non-inferior solution and the ideal solution， is adopted to solve the optimal dispatch strategy. Finally， on the basis of the typical numerical simulations， the results demonstrate that the proposed multi-objective optimization algorithm can effectively balance the multiple dispatch objectives. The integrated energy system would have more advantages in the gross energy consumptions， environment， and the wind power accommodation after considering the integrated demand response.

Key words: regional integrated energy system（RIES）, multi-objective optimal dispatch, integrated demand response, Pareto front

CLC Number:

TM 73

WEI Zhenbo， REN Xiaolin， HUANG Yuhan. Multi-Objective Optimal Dispatch for Integrated Energy System Considering Integrated Demand Response[J]. Electric Power Construction, doi: 10.12204/j.issn.1000-7229.2020.07.012.

References

［1］郭创新，王惠如，张伊宁，等. 面向区域能源互联网的“源-网-荷”协同规划综述［J］. 电网技术， 2019， 43（9）: 3071-3080.
GUO Chuangxin， WANG Huiru， ZHANG Yining， et al. Review of“source-grid-load” co-planning orienting to regional energy Internet［J］. Power System Technology， 2019， 43（9）: 3071-3080.
［2］杨文涛，文福拴，张显，等. 基于有机朗肯循环系统的分布式多能源交易机制［J］. 电力建设， 2019， 40（12）: 11-21.
YANG Wentao， WEN Fushuan， ZHANG Xian， et al. An organic Rankine cycle based decentralized transaction mechanism for multiple kinds of energy［J］. Electric Power Construction， 2019， 40（12）: 11-21.
［3］ZHANG X P， SHAHIDEHPOUR M， ALABDULWAHAB A， et al. Hourly electricity demand response in the stochastic day-ahead scheduling of coordinated electricity and natural gas networks［J］. IEEE Transactions on Power Systems， 2016， 31（1）: 592-601.
［4］卫志农，张思德，孙国强，等. 计及电转气的电-气互联综合能源系统削峰填谷研究［J］. 中国电机工程学报， 2017， 37（16）: 4601-4609， 4885.
WEI Zhinong， ZHANG Side， SUN Guoqiang， et al. Power-to-gas considered peak load shifting research for integrated electricity and natural-gas energy systems［J］. Proceedings of the CSEE， 2017， 37（16）: 4601-4609， 4885.
［5］魏震波，黄宇涵，高红均，等. 含电转气和热电解耦热电联产机组的区域能源互联网联合经济调度［J］. 电网技术， 2018， 42（11）: 3512-3520.
WEI Zhenbo， HUANG Yuhan， GAO Hongjun， et al. Joint economic scheduling of power-to-gas and thermoelectric decoupling CHP in regional energy Internet［J］. Power System Technology， 2018， 42（11）: 3512-3520.
［6］董帅，王成福，梁军，等. 计及电转气运行成本的综合能源系统多目标日前优化调度［J］. 电力系统自动化， 2018， 42（11）: 8-15， 121.
DONG Shuai， WANG Chengfu， LIANG Jun， et al. Multi-objective optimal day-ahead dispatch of integrated energy system considering power-to-gas operation cost［J］. Automation of Electric Power Systems， 2018， 42（11）: 8-15， 121.
［7］董福贵，张也，尚美美. 分布式能源系统多指标综合评价研究［J］. 中国电机工程学报， 2016， 36（12）: 3214-3223.
DONG Fugui， ZHANG Ye， SHANG Meimei. Multi-criteria comprehensive evaluation of distributed energy system［J］. Proceedings of the CSEE， 2016， 36（12）: 3214-3223.
［8］胡枭，尚策，陈东文，等. 考虑能量品质的区域综合能源系统多目标规划方法［J］. 电力系统自动化， 2019， 43（19）: 22-38， 139.
HU Xiao， SHANG Ce， CHEN Dongwen， et al. Multi-objective planning method for regional integrated energy systems considering energy quality［J］. Automation of Electric Power Systems， 2019， 43（19）: 22-38， 139.
［9］郑漳华，艾芊，顾承红，等. 考虑环境因素的分布式发电多目标优化配置［J］. 中国电机工程学报， 2009， 29（13）: 23-28.
ZHENG Zhanghua， AI Qian， GU Chenghong， et al. Multi-objective allocation of distributed generation considering environmental factor［J］. Proceedings of the CSEE， 2009， 29（13）: 23-28.
［10］魏震波，黄宇涵. 计及需求侧管理的多电-气互联综合能源系统分散协调调度［J］. 电力自动化设备， 2019， 39（8）: 277-285.
WEI Zhenbo， HUANG Yuhan. Decentralized coordinated dispatch for multiple integrated electricity-gas energy systems considering demand side management［J］. Electric Power Automation Equipment， 2019， 39（8）: 277-285.
［11］高滢，王芃，薛友，等. 计及需求侧管理的电-气集成能源系统协同规划［J］. 电力系统自动化， 2018， 42（13）: 3-11.
GAO Ying， WANG Peng， XUE You， et al. Collaborative planning of integrated electricity-gas energy systems considering demand side management［J］. Automation of Electric Power Systems， 2018， 42（13）: 3-11.
［12］CLEGG S， MANCARELLA P. Integrated modeling and assessment of the operational impact of power-to-gas （P2G） on electrical and gas transmission networks［J］. IEEE Transactions on Sustainable Energy， 2015， 6（4）: 1234-1244.
［13］郝然，艾芊，朱宇超，等. 基于能源集线器的区域综合能源系统分层优化调度［J］. 电力自动化设备， 2017， 37（6）: 171-178.
HAO Ran， AI Qian， ZHU Yuchao， et al. Hierarchical optimal dispatch based on energy hub for regional integrated energy system［J］. Electric Power Automation Equipment， 2017， 37（6）: 171-178.
［14］周灿煌，郑杰辉，荆朝霞，等. 面向园区微网的综合能源系统多目标优化设计［J］. 电网技术， 2018， 42（6）: 1687-1697.
ZHOU Canhuang， ZHENG Jiehui， JING Zhaoxia， et al. Multi-objective optimal design of integrated energy system for park-level microgrid［J］. Power System Technology， 2018， 42（6）: 1687-1697.
［15］YANG J B， XU D L. On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty［J］. IEEE Transactions on Systems， Man， and Cybernetics - Part A: Systems and Humans， 2002， 32（3）: 289-304.

[1]	ZHANG Yongxin， SHEN Hong， WEN Jun. Storage Control of Integrated Energy System for Integrated Demand Response [J]. Electric Power Construction, 2019, 40(9): 43-51.
[2]	WANG Li,WU Guopei， ZENG Shunqi， HE Zhongxiao， DONG Shufeng. The Strategy of Integrated Demand Response Considering the Interaction Between Distribution Grid and Industrial Park [J]. Electric Power Construction, 2019, 40(9): 52-63.
[3]	GAO Shan,ZOU Ziqing， LIU Yu. Coordination and Optimization of Combined Heat and Power System Considering Multi-type Demand-Response Load [J]. Electric Power Construction, 2019, 40(10): 9-17.
[4]	ZHANG Yongxin，SHEN Hong，MA Jing. Load Characteristic Analysis and Application Research on Integrated Energy System [J]. Electric Power Construction, 2018, 39(9): 18-29.
[5]	DONG Xiaojing， LIU Hong， GONG Jianfeng， SUN Hao， HAN Yiming. Reliability Assessment of Coupled Electricity-heat Energy System Considering Multi-type Integrated Demand Response [J]. Electric Power Construction, 2018, 39(11): 10-19.
[6]	ZHANG Zhichang， FENG Mengshuang， HUI Jin， GUAN Li， QI Baozheng， CAI Hui， XU Haihua， ZHU Xingyang，HUO Molin. Optimization Hotspot Region Based Integrated Demand Response Model of User-side Combined Heat and Power Unit [J]. Electric Power Construction, 2018, 39(11): 20-27.
[7]	TAN Zhukui， QU Kaiping， LIU Bin， WANG Dezhi， YU Tao. Multi-objective Optimal Dispatch of Integrated Electricity and Natural Gas System with Power to Gas [J]. Electric Power Construction, 2018, 39(11): 51-59.
[8]	LIU Fang, LI Bing, ZHANG Fan. Battery Energy Storage System Optimal Allocation Considering Economy and Reliability of Distribution Network [J]. ELECTRIC POWER CONSTRUCTION, 2015, 36(12): 76-83.