Cost Sharing of Distributed Photovoltaic Power Generation Considering Carbon Footprint and Transactions

doi:10.12204/j.issn.1000-7229.2020.06.011

Abstract

Abstract: With the gradual reduction of subsidies for distributed photovoltaic power generation and the advancement of unsubsidized parity on-grid， the profitability of distributed photovoltaic power generation projects has gradually decreased， which has discouraged the enthusiasm of investing in distributed photovoltaic power generation projects on the power generation side and slowed down clean power generation and distributed energy construction. The carbon emissions of distributed photovoltaic projects are tracked over the entire life cycle， and typical distributed photovoltaic power generators such as photovoltaic power generation prosumer （PPGP） are covered in carbon trading， which expands cost sharing ways of power generation. In a cost-sharing game model of distributed photovoltaic power generation， by using the MOEA / D-DRA algorithm to achieve the equilibrium solution of decision-making volume， the optimal distribution of power generation costs is realized on the generation and consumer sides. The example shows that carbon trading can effectively increase the revenue on the power generation side. When PPGP adopts preferential measures for nearby consumers， it is necessary to consider the double impact of carbon price discounts and electricity price discounts on the cost recovery period of power generation.

Key words: distributed photovoltaic, cost sharing, carbon trading, carbon footprint

CLC Number:

TM 61

HE Houyu1， HE Huaqin1， WANG Qian2， WANG Yanming1， GAO Lingjun1， LUO Zhao2， ZANG Haixiang3. Cost Sharing of Distributed Photovoltaic Power Generation Considering Carbon Footprint and Transactions[J]. Electric Power Construction, 2020, 41(6): 85-92.

References

［1］国家发展改革委. 国家发展改革委关于发挥价格杠杆作用促进光伏产业健康发展的通知［EB/OL］. （2013-08-26）［2019-12-20］. http：//www.cec.org.cn/yaowenkuaidi/2013-09-02/108277.html.
［2］国家发展改革委. 国家发展改革委关于2018年光伏发电项目价格政策的通知［EB/OL］. （2017-12-19）［2019-12-20］. https：//www.ndrc.gov.cn/xwdt/ztzl/gbmjcbzc/gjfzggw/201807/t20180704_1209057.html.
［3］国家发展改革委. 国家发展改革委关于完善光伏发电上网电价机制有关问题的通知［EB/OL］. （2019-04-28）［2019-12-20］. http：//www.wnt.gov.cn/xwzx/gsgg/dd92ca7e_852c_4cd7_bb74_ba826fd25be8.html.
［4］邵汉桥，张籍，张维.分布式光伏发电经济性及政策分析［J］.电力建设，2014，35（7）：51-57.
SHAO Hanqiao， ZHANG Ji， ZHANG Wei. Economy and policy analysis of distributed photovoltaic generation［J］. Electric Power Construction， 2014，35（7）：51-57.
［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］娄素华，胡斌，吴耀武，等. 碳交易环境下含大规模光伏电源的电力系统优化调度［J］. 电力系统自动化， 2014， 38（17）： 91-97.
LOU Suhua， HU Bin， WU Yaowu， et al. Optimal dispatch of power system integrated with large scale photovoltaic generation under carbon trading environment［J］. Automation of Electric Power Systems， 2014， 38（17）： 91-97.
［7］陈丽霞，周云，方陈，等. 考虑碳交易的发电商和电力用户竞价博弈［J］. 电力系统及其自动化学报， 2019， 31（10）： 66-72.
CHEN Lixia， ZHOU Yun， FANG Chen， et al. Bidding game between power generation companies and consumers considering carbon trade［J］. Proceedings of the CSU-EPSA， 2019， 31（10）： 66-72.
［8］苏剑，周莉梅，李蕊.分布式光伏发电并网的成本/效益分析［J］.中国电机工程学报，2013，33（34）：50-56.
SU Jian， ZHOU Limei， LI Rui. Cost / benefit analysis of grid-connected distributed photovoltaic power generation ［J］ .Proceedings of the CSEE， 2013，33 （34）： 50-56.
［9］王康达，张保会. 远方集中式与就地分布式光伏供电经济性比较［J］. 电力系统自动化， 2017， 41（16）： 179-186.
WANG Kangda， ZHANG Baohui. Economy comparison of distant ground photovoltaic stations and distributed photovoltaic stations［J］. Automation of Electric Power Systems， 2017， 41（16）： 179-186.
［10］王宣元，高峰，康重庆，等.扩展的节点电价算法研究［J］.电网技术，2019，43（10）：3587-3596.
WANG Xuanyuan， GAO Feng， KANG Chongqing， et al. Research on extended node price algorithm ［J］ .Power System Technology， 2019，43 （10）： 3587-3596.
［11］刘臣辉，詹晓燕，范海燕，等. 多晶硅光伏系统碳排放环节分析［J］. 太阳能学报， 2012， 33（7）： 1158-1163.
LIU Chenhui， ZHAN Xiaoyan， FAN Haiyan， et al. Analysis of carbon emision links on polycrystalline-silicon PV system［J］. Acta Energiae Solaris Sinica， 2012， 33（7）： 1158-1163.
［12］龚道仁，陈迪，袁志钟. 光伏发电系统碳排放计算模型及应用［J］. 可再生能源， 2013， 31（9）： 1-4， 9.
GONG Daoren， CHEN Di， YUAN Zhizhong. Mathematics calculation model and application of CO2 emission［J］. Renewable Energy Resources， 2013， 31（9）： 1-4， 9.
［13］念保义，陈兴顺，何绍福. 冶金法制备太阳能级多晶硅的原理与生产工艺研究进展［J］. 矿产综合利用， 2011（3）： 8-13.
NIAN Baoyi， CHEN Xingshun， HE Shaofu. Research advance on the principle and processing technology for preparing solar grade silicon by metallurgic method［J］. Multipurpose Utilization of Mineral Resources， 2011（3）： 8-13.
［14］谭秀杰，刘宇，王毅. 湖北碳交易试点的经济环境影响研究：基于中国多区域一般均衡模型TermCo2［J］. 武汉大学学报（哲学社会科学版）， 2016， 69（2）： 64-72.
TAN Xiujie， LIU Yu， WANG Yi. The economic and environmental impacts of the Hubei pilot emission trading schemes： Based on Chinese multi-regional general equilibrium model［J］. Wuhan University Journal （Philosophy & Social Sciences）， 2016， 69（2）： 64-72.
［15］吕晨旭. 基于储能成本收益评估的小型光储系统实时经济运行方法［J］. 电力系统保护与控制， 2017， 45（17）： 144-151.
L Chenxu. Real time economic scheduling method for photovoltaic/battery system based on the evaluation of energy storage charging cost and discharge yield［J］. Power System Protection and Control， 2017， 45（17）： 144-151.
［16］王一名. 碳排放交易地方制度若干问题研究［D］. 上海：上海社会科学院， 2015.
WANG Yiming. Research on some problems of local system of carbon emission trading［D］. Shanghai： Academy of Social Sciences， 2015.
［17］LI L C， SHAMMA J S. Efficient strategy computation in zero-sum asymmetric information repeated games［J］. IEEE Transactions on Automatic Control， 2019： 1.
［18］MOORE J， REPULLO R. Subgame perfect implementation［J］. Econometrica， 1988， 56（5）： 1191-1220.
［19］SINDHYA K， MIETTINEN K， DEB K. A hybrid framework for evolutionary multi-objective optimization［J］. IEEE Transactions on Evolutionary Computation， 2013， 17（4）： 495-511.
［20］DEB K， JAIN H. An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach， Part I： Solving problems with box constraints［J］. IEEE Transactions on Evolutionary Computation， 2014， 18（4）： 577-601.

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[2]	ZHANG Jiaan， WANG Kunyue， CHEN Jian， GUO Lingxu， HUANG Xiaoxiao,FAN Ruiqing， LI Zhijun. Research on Prediction of Distributed Photovoltaic Output Considering Spatial Relevance [J]. Electric Power Construction, 2020, 41(3): 47-53.
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[12]	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.
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[14]	Yibin, WU Xuezhi, TANG Fen. Coordinated Development of Distributed Photovoltaic Generation and Active Distribution Network [J]. ELECTRIC POWER CONSTRUCTION, 2015, 36(1): 72-75.
[15]	SHAO Hanqiao, ZHANG Ji,ZHANG Wei. null [J]. ELECTRIC POWER CONSTRUCTION, 2014, 35(7): 51-57.