Adaptability Expansion Planning of Grid with High Penetration Renewable Energy Applying United Weighted Entropy Theory

doi:10.3969/j.issn.1000-7229.2019.12.006

Abstract

Abstract: In order to meet the trend of large-scale integration of renewable energy to power grid， it is urgent to plan a grid structure with high adaptability to improve the systems capability to accept renewable energy. Applying the united weighted entropy theory， a series of adaptive indexes for power grid planning is proposed to analyze the security of power grid after renewable energy integration. In uncertain operation environment， the indexes consider the security and stability of power flow distribution， the balance and rationality of nodes and branches. By analyzing the actual state and electrical structure of the power grid， the security of the grid with renewable energy is evaluated. Then， a multi-objective programming model of transmission network is established on the basis of the adaptability indexes， and the data envelope analysis model with analytic hierarchy process restraint cone is used to make comprehensive decision on Pareto solution set. Finally， an example of Garver 18-node system is simulated to verify the rationality and effectiveness of the indexes and the planning model.

Key words: united weighted entropy, safety adaptability, transmission grid planning, high penetration renewable energy

CLC Number:

TM 715

WANG Xi， GOU Jing， SU Yunche， YANG Xinting， OUYANG Xuetong， LI Ao， FAN Jinzhu， LI Huaqiang. Adaptability Expansion Planning of Grid with High Penetration Renewable Energy Applying United Weighted Entropy Theory[J]. Electric Power Construction, 2019, 40(12): 45-54.

References

［1］国家发展和改革委员会能源研究所. 中国2050高比例可再生能源发展情景暨路径研究［R］. 北京: 国家发展和改革委员会能源研究所， 2015.
Energy Research Institute National Development and Reform Commission. China 2050 high renewable energy penetration scenario and roadmap study［R］. Beijing: Energy Research Institute National Development and Reform Commission， 2015.
［2］INTERMITTENT N， FORCE V G T. Accommodating high levels of variable generation［R］. North American Electric Reliability Corp. (NERC)， 2009.
［3］International Energy Agency. Harnessing variable renewables［M］. Paris: International Energy Agency， 2011: 41-67.
［4］鲁宗相，黄瀚，单葆国，等. 高比例可再生能源电力系统结构形态演化及电力预测展望［J］. 电力系统自动化， 2017， 41(9):12-18.
LU Zongxiang， HUANG Han， SHAN Baoguo， et al. Morphological evolution model and power forecasting prospect of future electric power systems with high proportion of renewable energy［J］. Automation of Electric Power Systems， 2017， 41(9): 12-18.
［5］程浩忠，李隽，吴耀武，等. 考虑高比例可再生能源的交直流输电网规划挑战与展望［J］. 电力系统自动化， 2017， 41(9): 19-27.
CHENG Zhonghao， LI Jun， WU Yaowu， et al. Challenges and prospects for AC/DC transmission expansion considering high proportion of renewable energy［J］. Automation of Electric Power Systems， 2017， 41(9): 19-27.
［6］刘连光，陈艳伟，王智冬，等. 大电网建设适应性评价内容与评价指标［J］. 电力建设， 2014，35(8):32-37.
LIU Lianguang， CHEN Yanwei， WANG Zhidong， et al. Adaptability evaluation content and indexes for large power grid construction［J］. Electric Power Construction， 2014， 35(8): 32-37.
［7］刘连光，陈为化，刘自发，等. 大电网适应性的评价问题及评价体系［J］. 电力建设， 2015， 36(10):138-143.
LIU Lianguang， CHEN Weihua， LIU Zifa， et al. Large power grid adaptability evaluation problem and evaluation system［J］. Electric Power Construction， 2015， 36(10): 138-143.
［8］张建平，胡建绩. 面向智能电网的多适应性规划体系设计［J］. 电力系统自动化， 2011， 35(10):1-7.
ZHANG Jianping， HU Jianji. Design of smart grid oriented adaptive planning system［J］. Automation of Electric Power Systems， 2011， 35(10): 1-7.
［9］刘文颖，蔡万通，张宁，等. 基于联合加权熵的电网自组织临界状态演化［J］. 中国电机工程学报， 2015， 35(6):1363-1370.
LIU Wenying， CAI Wantong， ZHANG Ning， et al. Evolution of Self-organizing of grid critical state based on united weighted entropy theory［J］. Proceedings of the CSEE， 2015， 35(6):1363-1370.
［10］陈伟，刘莹，刘晓宇. 考虑网架对短路电流适应性的输电网扩展规划［J］. 四川电力技术， 2018，41(1):74-77..
CHEN Wei ， LIU Ying， LIU Xiaoyu . Transmission expansion planning considering adaptability of grid to short-circuit current［J］. Sichuan Electric Power Technology， 2018，41(1):74-77.
［11］屈刚，程浩忠，马则良，等. 考虑发电容量适应性的多目标输电网规划［J］. 电力系统自动化， 2009， 33(23):19-23.
QU Gang， CHENG Haozhong， MA Zeliang， et al. Multi-objective transmission expansion planning considering generation capacity adaptability［J］. Automation of Electric Power Systems， 2009， 33(23):19-23.
［12］唐晓骏，谢岩，罗红梅，等. 特高压接入后省级电网适应性评估的方法和实例［J］. 电网技术， 2017，41(5): 1476-1483.
TANG Xiaojun， XIE Yan， LUO Hongmei， et al. Assessment method and instance of provincial grid adaptation after UHV line connection［J］. Power System Technology， 2017， 41(5): 1476-1483.
［13］肖定垚，王承民，曾平良，等. 电力系统灵活性及其评价综述［J］. 电网技术，2014，38(6):1569-1576.
XIAO Dingyao， WANG Chengmin， ZENG Pingliang， et al. A survey on power system flexibility and its evaluations［J］. Power System Technology， 2014， 38(6): 1569-1576.
［14］LANNOVE E， FLYNN D， OMALLEY M. Evaluation of power system flexibility［J］. IEEE Transactions on Power Systems， 2012， 27(2): 922-931.
［15］LANNOVE E， FLYNN D， OMALLEY M. Assessment of power system flexibility: A high-level approach［C］//Power and Energy Society General Meeting. IEEE， 2012: 1-8.
［16］鲁宗相，李海波，乔颖. 高比例可再生能源并网的电力系统灵活性评价与平衡机理［J］. 中国电机工程学报， 2017， 37(1): 9-19.
LU Zongxiang， LI Haibo， QIAO Ying. Flexibility evaluation and supply/demand balance principle of power system with high-penetration renewable electricity［J］. Proceedings of the CSEE， 2017， 37(1): 9-19.
［17］李海波，鲁宗相，乔颖. 源荷储一体化的广义灵活电源双层统筹规划［J］. 电力系统自动化， 2017， 41(21): 46-54.
LI Haibo， LU Zongxiang， QIAO Ying. Bi-level optimal planning generation-load-storage integrated generalized flexibility resource［J］ Automation of Electric Power Systems， 2017， 41(21): 46-54.
［18］刘文颖，蔡万通，但扬清，等. 大规模风电集中接入环境下基于熵理论的电网自组织临界状态演化［J］. 电网技术， 2013， 37(12): 3392-3398.
LIU Wenying， CAI Wantong， DAN Yangqing， et al. The evolution of grids self-organized criticality state based on entropy theory under the circumstance of large scale wind power centralized grid［J］. Power System Technology， 2013， 37(12):3392-3398.
［19］李响，范建业，曹丽璐，等. 大型光伏电站并网适应性分析［J］. 电力系统保护与控制， 2018，46(8):164-169.
LI Xiang ， FAN Jianye ， CAO Lilu， et al. Analysis on the adaptability of large-scale grid-connected PV station［J］. Power System Protection and Control， 2018，46(8):164-169.
［20］张程铭，程浩忠，柳璐，等.高比例可再生能源接入的输电网结构适应性指标及评估方法［J］.电力系统自动化，2017，41(21):55-61.
ZHANG Chengming，CHENG Haozhong，LIU Lu， et al.Adaptability index and evaluation method for power transmission network structure with integration of high-penetration renewable energy［J］.Automation of Electric Power Systems，2017，41(21):55-61.
［21］易俊，周孝信，肖逾男. 电力系统自组织临界特性分析与仿真模型［J］. 电网技术， 2008， 32(3): 7-12.
YI Jun， ZHOU Xiaoxin， XIAO Yu′nan. Analysis on power system self-organized criticality and its simulation model［J］. Power System Technology， 2008， 32(3): 7-12.
［22］程耀华，张宁，王佳明，等.面向高比例可再生能源并网的输电网规划方案综合评价［J］.电力系统自动化，2019，43(3):33-42.
CHENG Yaohua， ZHANG Ning， WANG Jiaming， et al. Comprehensive evaluation of transmission network planning for integration of high-penetration renewable energy［J］. Automation of Electric Power Systems， 2019， 43(3): 33-42.
［23］王羽佳，李华强，刘沛清，等. 基于改进DEAHP模型的支路综合脆弱性评估方法［J］. 电网技术，2016，40(4):1249-1256.
WANG Yujia， LI Huaqiang， LIU Peiqing， et al. A branch comprehensive vulnerability assessment method based on improved DEAHP model ［J］. Power System Technology， 2016， 40(4): 1249-1256.
［24］史智萍，王智敏，吴玮坪，等.基于态势感知的电网消纳可再生能源发电评估与扩展规划方法［J］. 电网技术，2017，41(7):2180-2186.
SHI Zhiping， WANG Zhimin， WU Weiping， et al. Evaluation of renewable energy integration capability and network expansion planning based on situation awareness theory［J］. Power System Technology， 2017， 41(7): 2180-2186.

[1]	WU Dingjie, LI Xiaolu. Charging Load Prediction of Electric Vehicle According to Real-Time Travel Demand and Traffic Conditions [J]. ELECTRIC POWER CONSTRUCTION, 2020, 41(8): 57-67.
[2]	FANG Chaoxiong， WU Xiaosheng， JIANG Yuewen. Research on Multi-Objective Bi-Level Optimization of Network-Storage Considering Transient Stability [J]. Electric Power Construction, 2020, 41(7): 58-66.
[3]	ZHANG Kai， QIU Xiaoyan， LI Linghao， ZHANG Haoyu， ZHAO Youlin， LIU Mengyi. Energy Storage Configuration Scheme Considering the Effect of Static Voltage Stability in Wind Power Systems [J]. Electric Power Construction, 2020, 41(7): 110-116.
[4]	SONG Jian， SHU Hongchun， DONG Jun， LIANG Yuting， LI Yulong， YANG Bo. Comprehensive Load Forecast Based on GM(1，1) and BP Neural Network [J]. Electric Power Construction, 2020, 41(5): 75-80.
[5]	GUO Wei，XIU Xiaoqing，LI Wenqi，LI Jianlin. Siting and Configuration Methods for Grid-Side Energy Storage System Considering Multi-Attribute Comprehensive Indices and Economy [J]. Electric Power Construction, 2020, 41(4): 53-62.
[6]	WANG Liyan， XU Qiang， HUANG Kaiyi， WU Jian， AI Qian， ZHANG Yaxin， JIA Xuan. A Two-Stage Stochastic Programming Method for Multi-Energy Microgrid System Considering the Uncertainty of New Energy and Load [J]. Electric Power Construction, 2020, 41(4): 100-108.
[7]	LI Huaqu1，XIAO Jinsong1，SHU Zhan2，ZHANG Zheng1，YAO Liangzhong1，PENG Xiaotao1. Point-Estimation Based Method for Optimizing Both Location and Capacity of Grid-Connected Wind Farm [J]. Electric Power Construction, 2020, 41(4): 109-116.
[8]	LI Xiangqi，YU Haifeng，LI Xinran，ZHANG De，JIANG Xing，ZHU Sirui，CHEN Changqing. Planning Method for Multi-Functional Application Demand Considering Dynamic Life Cycle Characteristics of Energy Storage [J]. Electric Power Construction, 2020, 41(1): 45-54.
[9]	SHI Pengjia， LEI Yong， ZHANG Linyao， WANG Qiulin， LIU Xin， TANG Yingqi， DONG Shufeng. Distribution Network Planning Method with Feasible Domain-Wide Steiner Point Optimization Capability [J]. Electric Power Construction, 2019, 40(12): 104-112.
[10]	LI Hao，LI Wen，WANG Linyu，LIN Jingyi，LIU Chang，TANG Wei . Comprehensive Evaluation of Urban Re-electrification Potential Applying Group Decision Theory [J]. Electric Power Construction, 2019, 40(11): 116-125.
[11]	GU Jinwei， LU Yangyang. Status Analysis on Chinese Tradable Green Certificate Market and the Optimization of Trading Mechanism [J]. Electric Power Construction, 2019, 40(10): 45-55.
[12]	HUANG He，GAO Song，HAN Jun，SUN Qirun，WU Zhi，GU Wei. Maximum Capacity of Grid-Connected Distributed Generation in AC/DC Hybrid Distribution Network [J]. Electric Power Construction, 2019, 40(10): 75-83.
[13]	LU Jiali,XIE Huan,WANG Xinhao, WU Tao, ZHOU Ranran,LI Ran,LIU Yingpei. Optimization of VDCOL Based on Transient Energy Function Analysis to Improve Stability of Weak Delivery System [J]. Electric Power Construction, 2019, 40(9): 11-19.
[14]	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.
[15]	LIU Yongjun， CAO Xiaojun， HU Zhaoyang， WANG Ke， XU Lizhong， GAO Ciwei. Research on Scheduling Strategy of Data Centers Participating in Multi-peak-regulating Ancillary Service Markets [J]. Electric Power Construction, 2019, 40(9): 82-90.