Multi-objective Operation Optimization for Integrated Electricity and Gas Systems Considering the Accommodation Capability of Wind Power

doi:10.3969/j.issn.1000-7229.2018.06.014

Abstract

Abstract: ABSTRACT： An integrated electric power and natural gas system, as a special example of an integrated energy system, is of great potential for promoting the accommodating capability of intermittent renewable energy generation through flexible operation of various energy carriers. However, the overall operation cost and energy transmission loss may suffer from significant changes depending on the penetration level of renewable energy sources. It is necessary to study the multi-objective optimal operation strategy for integrated electric power and gas systems considering the accommodation of wind power generation. First, a multi-objective operation optimization model is established by minimizing the operation cost, wind power curtailment and energy loss of the integrated electric power and gas system. Then, the nonlinear constraints are simplified by piecewise linearization, and the original mixed integer nonlinear planning model is then transformed into a mixed integer linear planning one. Moreover, the multi-objective optimization technique based on the augmented ε-constraint method is employed to solve the model, and the fuzzy comprehensive evaluation is employed to find the compromised optimal solution from the attained Pareto optimal solutions. Finally, an integrated and revised version of the IEEE 39-bus power system and the Belgium 20-bus natural gas system is served to demonstrate the feasibility and efficiency of the proposed method.

Key words: KEYWORDS： integrated electric power and gas system, accommodating capability of wind power, power to gas （PtG） technology, multi-objective optimization, coordinated operation

CLC Number:

WANG Ke, WANG Peng, XU Yuan, LIU Weijia, WEN Fushuan, LIN Zhenzhi. Multi-objective Operation Optimization for Integrated Electricity and Gas Systems Considering the Accommodation Capability of Wind Power[J]. Electric Power Construction, 2018, 39(6): 105-.

References

［1］GTZ M，LEFEBVRE J，MRS F，et al．Renewable power-to-gas：A technological and economic review［J］．Renewable Energy，2016（85）：1371-1390．

［2］王芃，刘伟佳，林振智，等．基于场景分析的风电场与电转气厂站协同选址规划［J］．电力系统自动化，2017，41（6）：20-28.

WANG Peng，LIU Weijia，LIN Zhenzhi，et al．Scenario analysis based collaborative site selection planning of wind farms and power-to-gas plants［J］．Automation of Electric Power Systems，2017，41（6）：20-28．

［3］孙国强，陈霜，卫志农，等．计及相关性的电-气互联系统概率最优潮流［J］．电力系统自动化，2015，39（21）：11-17.

SUN Guoqiang，CHEN Shuang，WEI Zhinong，et al．Probabilistic optimal power flow of combined natural gas and electric system considering correlation［J］．Automation of Electric Power Systems，2015，39（21）：11-17．

［4］陈胜，卫志农，孙国强，等．电-气混联综合能源系统概率能量流分析［J］．中国电机工程学报，2015，35（24）：6331-6340.

CHEN Sheng，WEI Zhinong，SUN Guoqiang，et al．Probabilistic energy flow analysis in integrated electricity and natural-gas energy systems［J］．Proceedings of the CSEE，2015，35（24）：6331-6340．

［5］黄国日，刘伟佳，文福拴，等．具有电转气装置的电-气混联综合能源系统的协同规划［J］．电力建设，2016，37（9）：1-13.

HUANG Guori，LIU Weijia，WEN Fushuan，et al．Optimal collaborative planning of integrated electricity and natural gas energy systems with power-to-gas stations［J］．Electric Power Construction，2016，37（9）：1-13．

［6］张睿，黄国日，文福拴，等．电力-天然气集成能源系统的统一规划模型与Benders解耦方法［J］．电力建设，2017，38（7）：67-76.

ZHANG Rui，HUANG Guori，WEN Fushuan，et al．Unified planning of integrated electric power and natural gas energy systems based on benders decomposition［J］．Electric Power Construction，2017，38（7）：67-76．

［7］HE C，WU L，LIU T，et al．Robust co-optimization scheduling of electricity and natural gas systems via ADMM ［J］．IEEE Transactions on Sustainable Energy，2017，8（2）：658-670．

［8］ZHANG X，CHE L，SHAHIDEHPOUR M，et al．Electricity-natural gas operation planning with hourly demand response for deployment of flexible ramp［J］．IEEE Transactions on Sustainable Energy，2016，7（3）：996-1004．

［9］李杨，刘伟佳，赵俊华，等．含电转气的电-气-热系统协同调度与消纳风电效益分析［J］．电网技术，2016，40（12）：3680-3689.

LI Yang，LIU Weijia，ZHAO Junhua，et al．Optimal dispatch of combined electricity-gas-heat energy systems with power-to-gas devices and benefit analysis of wind power accommodation［J］．Power System Technology，2016，40（12）：3680-3689．

［10］ROS-MERCADO R Z，BORRAZ-SNCHEZ C．Optimization problems in natural gas transportation systems：a state-of-the-art review［J］．Applied Energy，2015（147）：536-555．

［11］COFFRIN C，HENTENRYCK P V．A linear-programming approximation of AC power flows［J］．INFORMS Journal on Computing，2014，26（4）：718-734．

［12］KOCH T，HILLER B，PFETSCH M，et al．Evaluating gas network capacities［M］．Philadelphia：Society for Industrial and Applied Mathematics，2015．

［13］GEILER B，MORSI A，SCHEWE L．A new algorithm for MINLP applied to gas transport energy cost minimization［M］//Facets of Combinatorial Optimization．Berlin：Springer，2013：321-353．

［14］CHANKONG V，HAIMES Y Y．Multiobjective decision making：Theory and methodology［M］．New York：Courier Dover Publications，2008．

［15］MAVROTAS G．Effective implementation of the ε-constraint method in multi-objective mathematical programming problems［J］．Applied Mathematics & Computation，2009，213（2）：455-465．

［16］MAVROTAS G，FLORIOS K．An improved version of the augmented ε-constraint method （AUGMECON2） for finding the exact Pareto set in multi-objective integer programming problems［J］．Applied Mathematics & Computation，2013，219（18）：9652-9669．

［17］LIU C，SHAHIDEHPOUR M，FU Y，et al．Security-constrained unit commitment with natural gas transmission constraints［J］．IEEE Transactions on Power Systems，2009，24（3）：1523-1536．

［18］GROND L，SCHULZE P，HOLSTEIN J．Systems analyses power to gas：Technology review［EB/OL］．（2013-06-20）［2018-05-10］．http://www.european powertogas.com/fm/download/28.

［19］VANDEWALLE J，BRUNINX K，D’HAESELEER W．The interaction of a high renewable energy/low carbon power system with the gas system through power to gas［EB/OL］．（2017-03-23）［2018-05-10］．http://www.mech.kuleuven.be/en/tme/research/energy_environment /Pdf/wpen2014-17.pdf.

［20］JENTSCH M，TROST T，STERNER M．Optimal use of power-to-gas energy storage systems in an 85% renewable energy scenario［C］//The 8th International Renewable Energy Storage Conference and Exhibition （IRES）．Berlin，Germany，2013：254-261.

［21］STERNER M．Bioenergy and renewable power methane in integrated 100% renewable energy systems ［D］．Hessen：University of Kassel，2009．

[1]	TAN Qinliang, DING Yihong, LI Yu, LI Rui. Multi-objective Optimization of Combined Wind-Solar-Thermal Power Dispatching Strategy Considering Economic-Environmental Equilibrium [J]. ELECTRIC POWER CONSTRUCTION, 2020, 41(8): 129-136.
[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]	YANG Lei，WU Chen，HUANG Wei，GUO Cheng，XIANG Chuan，HE Xin，XING Chao，XI Xinze，ZHOU Xin，YANG Bo，ZHANG Xiaoshun. Pareto-Based Multi-objective Reactive Power Optimization for Power Grid with High-Penetration Wind and Solar Renewable Energies [J]. Electric Power Construction, 2020, 41(7): 100-109.
[4]	SHEN Qingwen， CHENG Ruofa， FU Xin. Optimization Configuration Method of Distributed Power Supply Considering Vulnerability Index [J]. Electric Power Construction, 2020, 41(3): 54-61.
[5]	ZHANG Junliu,FAN Wei, TAN Zhongfu, JU Liwei, DE Gejirifu,YANG Shenbo, SUN Jingxia. Multi-Objective Optimization Model of Gas-Electricity Interconnected Virtual Power Plant Considering Demand Response [J]. Electric Power Construction, 2020, 41(2): 1-10.
[6]	QIAN Kejun， QIN Meng， SONG Yuanjun， ZHOU Zhenkai， LIU Yi， XIE Ying， CHEN Lijuan. Multi-Objective Optimal Scheduling Based on Fuzzy Membership for Electric Bus Charging Station [J]. Electric Power Construction, 2020, 41(2): 118-124.
[7]	WANG Shangxing，JIA Xuecui，WANG Lihua, YAN Shijie，LI Xiangjun. Current Predictive Control of Power Converter for Hybrid Energy Storage System [J]. Electric Power Construction, 2020, 41(1): 71-79.
[8]	SUN Chongbo， SONG Yi， CAI Chao， YUAN Kai， YANG Xiong. Multi-objective Optimal Configuration Scheme for Distributed Energy Storage in Distribution Network Considering Multi-scenario Requirements [J]. Electric Power Construction, 2019, 40(7): 48-56.
[9]	XIA Shiwei， LU Tao， DU Ting， LI Gengyin， BU Siqi. Distributed Coordinated Operation Method of Plug-in Electric Vehicles in Micro Grid Considering Fluctuation of Wind Power [J]. Electric Power Construction, 2019, 40(6): 86-94.
[10]	WANG Hui， LIAO Kun， LIN Yixuan， JIN Binbin . Multi-objective Clearing Model of Distribution Market with Microgrids Considering Demand Response [J]. Electric Power Construction, 2019, 40(2): 29-36.
[11]	WANG Tao, CUI Huaiyu, WU Geng, ZENG Ming. Multi-objective Optimization Model of Regional Hybrid Energy System Compatible with Responsive Load [J]. Electric Power Construction, 2018, 39(9): 30-38.
[12]	SUN Zhipan, LIU Huilan, LI Ran, CHEN Yu, HUO Qijing, ZHENG Haodong. Optimal Dispatch for Microgrids with CHP Considering EV Users Intention [J]. Electric Power Construction, 2018, 39(9): 95-104.
[13]	XING Haijun，HONG Shaoyun，FAN Hong，ZHAO Xiaoli. Optimal Reconfiguration and Coordinated Scheduling of Active Distribution Network Considering “Generation-Grid-Load-Energy Storage” [J]. Electric Power Construction, 2018, 39(8): 18-23.
[14]	MENG Ming,ZHU Guolin, WEI Yi. Research on Hierarchical Control in AC/DC Distribution Network on the Basis of Optimal Power Flow [J]. Electric Power Construction, 2018, 39(8): 94-101.
[15]	ZHU Jian，LOU Hui，DENG Wujun, WANG Hongchun, WU Zhiyun. Multi-Objective Optimization Scheduling of Unbalanced Low-Voltage Microgrid with Three-Phase Imbalance#br# [J]. Electric Power Construction, 2017, 38(2): 106-.