Low-carbon Dispatching Considering New Type Projects of Integrated Energy Service Provider in Bundled Cooperative Mode

doi:DOI： 10.3969/j.issn.1000-7229.2019.03.002

Abstract

Abstract: Low-carbonization has become an important goal of electric power development. The use of resources on the demand side to ease the pressure on the emission reduction of power generation enterprises is a scientific and economic low-carbon path. For new type projects of integrated energy service provider (IESP)， an evaluation model for carbon emission reduction considering power source structure is established by the coal consumption coefficient of electricity (CCCE). A Stackelberg model between IESP and users of flexible projects is implemented by the real-time retail price under the guidance of node CCCE. A bundled cooperation mechanism is designed to introduce IESP into the low-carbon dispatching of regional thermal units and integrated optimization. The quantitative indicators of integrated optimization in emission reduction and economy are analyzed， and the feasibility of low-carbon path for power generation enterprises is verified.

Key words: integrated energy service provider (IESP), power source structure, bundled cooperation, low-carbon dispatching

CLC Number:

TM 734

SONG Yang， ZHANG Xinhe， WANG Lei1. Low-carbon Dispatching Considering New Type Projects of Integrated Energy Service Provider in Bundled Cooperative Mode[J]. Electric Power Construction, 2019, 40(3): 9-16.

References

［1］刘铠诚，孙嘉赣，周任军.碳市场下火电统一碳排放基准与减排效应分析［J］.电力建设，2018，39(1):113-118.
LIU Kaicheng， SUN Jiagan， ZHOU Renjun.A unified carbon emission benchmark for fossil-fueled units and its effect on carbon emission reduction in carbon market［J］. Electric Power Construction， 2018，39(1):113-118.
［2］刘开俊. 能源互联网发展路径探究［J］.电力建设，2015，36(10):5-10.
LIU Kaijun. Development path exploration of energy internet［J］. Electric Power Construction， 2015，36 (10):5-10.
［3］PTRI S， SINKKONEN K. Energy service companies and energy performance contracting: is there a need to renew the business model? Insights from a delphi study［J］. Journal of Cleaner Production， 2014， 66(3):264-271.
［4］ZHANG Xiaoling， WU Zezhou， FENG Yong， et al. “Turning green into gold”: A framework for energy performance contracting in Chinas real estate industry［J］. Journal of Cleaner Production， 2015， 109:166-173.
［5］孙旻，刘莉莉，喻洁，等.考虑碳交易风险的发电商低碳调度策略［J］.南方电网技术， 2017，11(11):46-52.
SUN Min， LIU Lili， YU Jie， et al. Low carbon power dispatch strategy for power suppliers considering the risks of carbon trading ［J］. Southern Power System Technology，2017，11(11): 46-52.
［6］黄付顺，王倩，何美华.考虑低碳效益和时序特性的分布式电源优化配置［J］.电力系统及其自动化学报，2016，28(8):61-68.
HUANG Fushun， WANG Qian， HE Meihua. Optimal allocation of distributed generator based on carbon benefits and time-sequence characteristics ［J］. Proceedings of the CSU-EPSA， 2016，28(8):61-68.
［7］张宁，胡兆光，周渝慧，等.考虑需求侧低碳资源的新型模糊双目标机组组合模型［J］.电力系统自动化，2014，38(17):25-30.
ZHANG Ning， HU Zhaoguang， ZHOU Yuhui， et al. A novel fuzzy bi-objective unit commitment model considering demand side low-carbon resources ［J］. Automation of Electric Power Systems，2014， 38(17):25-30.
［8］ZHANG Ning， HU Zhaoguang， DAI Daihong， et al. Unit commitment model in smart grid environment considering carbon emissions trading［J］. IEEE Transactions on Smart Grid， 2016， 7(1): 420-427
［9］周天睿，康重庆，徐乾耀，等.电力系统碳排放流的计算方法初探［J］.电力系统自动化， 2012，36(11):44-49.
ZHOU Tianrui， KANG Chongqing， XU Qianyao， et al. Preliminary investigation on a method for carbon emission flow calculation of power system ［J］. Automation of Electric Power Systems， 2012，36(11): 44-49.
［10］特日昆，刘娴，徐飞.集群企业中介式捆绑合作创新机制研究［J］.科技管理研究，2016， 36(3):161-164.
TE Rikun， LIU Xian， XU Fei. Research on the mechanism of intermediary bundled cooperative innovation in cluster enterprises［J］. Science and Technology Management Research，2016， 36(3): 161-164.
［11］CHENG Yaohua， ZHANG Ning， KANG Chongqing. Low-carbon economic dispatch for integrated heat and power systems considering network constraints［J］. The Journal of Engineering， 2017，14: 2628-2633.
［12］YIN Aiwei， XU Congwei， JU Liwei. A joint scheduling optimization model for wind power and energy storage systems considering carbon emissions trading and demand response［J］. Mathematical Problems in Engineering，2016， 16(13):1-10.
［13］卢志刚，杨宇，耿丽君，等. 基于Benders分解法的电热综合能源系统低碳经济调度［J］.中国电机工程学报，2018，38(7):1922-1934.
LU Zhigang， YANG Yu， GENG Lijun， et al. Low-carbon economic dispatch of the integrated electrical and heating systems based on Benders decomposition ［J］. Proceedings of the CSEE， 2018，38(7):1922-1934.
［14］邓俊，韦化，黎静华.一种含四类0-1变量的机组组合混合整数线性规划模型［J］.中国电机工程学报，2015，35(11):2770-2778.
DENG Jun， WEI Hua， LI Jinghua. A mixed-integer linear programming model using four sets of binary variables for the unit commitment problem［J］. Proceedings of the CSEE，2015，35(11):2770-2778.
［15］孙晓明，王玮，苏粟，等.基于分时电价的电动汽车有序充电控制策略设计［J］.电力系统自动化，2013，37(1):191-195.
SUN Xiaoming， WANG Wei， SU Li， et al. Coordinated charging strategy for electric vehicles based on time-of-use price［J］. Automation of Electric Power Systems， 2013，37(1):191-195.