多能互补系统全寿命周期优化配置方法

doi:10.11930/j.issn.1004-9649.202006291

中国电力 ›› 2020, Vol. 53 ›› Issue (12): 75-82.DOI: 10.11930/j.issn.1004-9649.202006291

• 城镇地区分布式多能互补能源系统关键技术专栏 • 上一篇下一篇

多能互补系统全寿命周期优化配置方法

寇凌峰, 季宇, 吴鸣, 牛耕

国网上海能源互联网研究院有限公司，北京 100192

收稿日期:2020-07-03 修回日期:2020-08-11 发布日期:2020-12-16
作者简介:寇凌峰(1985—)，男，硕士，高级工程师，从事分布式能源、微网优化规划与系统评估研究，E-mail：klf0927@126.com;季宇(1982—)，男，博士，高级工程师，从事分布式发电与微电网技术研究，E-mail：jiyu@epri.sgcc.com.cn;吴鸣(1981—)，男，博士，高级工程师（教授级），从事分布式发电与微电网技术研究，E-mail：wuming@epri.sgcc.com.cn;牛耕(1990—)，男，博士，工程师，从事分布式发电与微电网、配电网运行控制研究，E-mail：niugeng@epri.sgcc.com.cn
基金资助:
国家电网公司科技项目(变电站、充放电(储能)站和数据中心站“三站合一”关键技术)

Optimal Configuration of Multi-Energy Complementary System Considering Full Life Cycle

KOU Lingfeng, JI Yu, WU Ming, NIU Geng

State Grid Shanghai Energy Interconnection Research Institute, Beijing 100192, China

Received:2020-07-03 Revised:2020-08-11 Published:2020-12-16
Supported by:
This work is supported by Science and Technology Project of SGCC (The Key Technology of "Three Stations in One" of Substation, Charge and Discharge (Energy Storage) Station and Data Center Station)

摘要/Abstract

摘要： 针对含风力发电、光伏发电和储能系统的多能互补系统的优化配置问题，提出一种考虑系统与配电网交互和需求侧响应成本的多能互补系统全寿命周期优化配置方法，构建双层优化模型：上层以总等年值成本最小为目标进行全局优化，确定多能互补系统的最优配置方案与储能出力范围；下层以系统的日运行成本和可再生能源未利用率最小为目标，建立多能互补系统的多目标日前优化调度模型。分别考虑独立型和并网型多能互补系统，以某地实际风光数据为例，验证所提优化配置策略的正确性与有效性，并量化分析多能互补系统运营方式对优化配置策略的影响。

关键词: 优化配置, 多能互补, 经济调度, 双层优化

Abstract: Aiming at the optimization configuration of multi-energy complementary systems including wind power generation, photovoltaic power generation and energy storage systems, this paper proposes a full life cycle optimization configuration method for multi-energy complementary systems considering system interaction with distribution network and demand-side response costs, Constructed a two-layer optimization model: the upper layer performs global optimization with the goal of minimum annual investment cost, and determines the optimal configuration scheme and energy storage output range of the multi-energy complementary system; the lower layer is established with daily operating costs and renewable energy unutilization as the goals. Multi-energy complementary system and multi-objective economic scheduling model is established. Consider independent and grid-connected multi-energy complementary systems respectively. Taking actual scenery data as an example, a calculation example verifies the correctness and effectiveness of the proposed optimization configuration strategy, and quantitatively analyzes the optimization of the operation mode of multi-energy complementary systems. Impact of configuration strategy.

Key words: optimal configuration, multi-energy complementary, economic dispatching, bi-level optimization

寇凌峰, 季宇, 吴鸣, 牛耕. 多能互补系统全寿命周期优化配置方法[J]. 中国电力, 2020, 53(12): 75-82.

KOU Lingfeng, JI Yu, WU Ming, NIU Geng. Optimal Configuration of Multi-Energy Complementary System Considering Full Life Cycle[J]. Electric Power, 2020, 53(12): 75-82.

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https://www.electricpower.com.cn/CN/Y2020/V53/I12/75

参考文献

[1] TUSHAR M H K, ASSI C. Optimal energy management and marginal-cost electricity pricing in microgrid network[J]. IEEE Transactions on Industrial Informatics, 2017, 13(6): 3286-3298.
[2] ZHAO T Q, DING Z T. Distributed finite-time optimal resource management for microgrids based on multi-agent framework[J]. IEEE Transactions on Industrial Electronics, 2018, 65(8): 6571-6580.
[3] ZHANG Y H, WANG J X, BERIZZI A, et al. Life cycle planning of battery energy storage system in off-grid wind-solar-diesel microgrid[J]. IET Generation, Transmission & Distribution, 2018, 12(20): 4451-4461.
[4] 寇凌峰, 熊雄, 侯小刚, 等. 面向低压配变台区的微电网技术[J]. 储能科学与技术, 2019: 665-670
KOU Lingfeng, XIONG Xiong, HOU Xiaogang, et al. Microgrid technology for low voltage distribution transformer station area[J]. Energy Storage Science and Technology, 2019: 665-670
[5] MOHAMED S, SHAABAN M F, ISMAIL M, et al. An efficient planning algorithm for hybrid remote microgrids[J]. IEEE Transactions on Sustainable Energy, 2019, 10(1): 257-267.
[6] 王成山, 焦冰琦, 郭力, 等. 微电网规划设计方法综述[J]. 电力建设, 2015, 36(1): 38-45
WANG Chengshan, JIAO Bingqi, GUO Li, et al. Review of methods of planning and design of microgrids[J]. Electric Power Construction, 2015, 36(1): 38-45
[7] QIU J, ZHAO J H, ZHENG Y, et al. Optimal allocation of BESS and MT in a microgrid[J]. IET Generation, Transmission& Distribution, 2018, 12(9): 1988-1997.
[8] CHEN C S, DUAN S X. Optimal allocation of distributed generation and energy storage system in microgrids[J]. IET Renewable Power Generation, 2014, 8(6): 581-589.
[9] LI X, LI Z. Micro-grid resource allocation based on multi-objective optimization in cloud platform [C]//2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS), Beijing, 2017: 509–512.
[10] DONG C, XIA Y, SUN D, et al. Research on optimal configuration of microgrid under life cycle framework[C]//2018 International Conference on Power System Technology (POWERCON), Guangzhou, 2018: 1367–1371.
[11] FUNDE N A, DHABU M M, DESHPANDE P S, et al. SF-OEAP: starvation-free optimal energy allocation policy in a smart distributed multimicrogrid system[J]. IEEE Transactions on Industrial Informatics, 2018, 14(11): 4873-4883.
[12] XU L, RUAN X B, MAO C X, et al. An improved optimal sizing method for wind-solar-battery hybrid power system[J]. IEEE Transactions on Sustainable Energy, 2013, 4(3): 774-785.
[13] 吴鸣, 孙丽敬, 寇凌峰, 等. 考虑需求侧响应的主动配电网电池梯次储能的容量配置方法[J]. 高电压技术, 2020, 46(1): 71-79
WU Ming, SUN Lijing, KOU Lingfeng, et al. Capacity configuration method for second-use electric vehicle batteries of active distribution network based on demand side response[J]. High Voltage Engineering, 2020, 46(1): 71-79
[14] MA G L, CAI Z X, XIE P, et al. A bi-level capacity optimization of an isolated microgrid with load demand management considering load and renewable generation uncertainties[J]. IEEE Access, 2019, 7(05): 83074-83087.
[15] 刘娇扬, 郭力, 杨书强, 等. 配电网中多光储微网系统的优化配置方法[J]. 电网技术, 2018, 42(9): 2806-2813
LIU Jiaoyang, GUO Li, YANG Shuqiang, et al. Optimal sizing for multi PV-ESS microgrids in distribution network[J]. Power System Technology, 2018, 42(9): 2806-2813
[16] 刘瑾, 吕振宇, 王琦, 等. 基于混合整数遗传算法的独立微电网优化配置分析[J]. 电器与能效管理技术, 2019(5): 65-70
LIU Jin, LÜ Zhenyu, WANG Qi, et al. Analysis of optimal configuration of islanded micro-grid based on mixed integer genetic algorithm[J]. Low Voltage Apparatus, 2019(5): 65-70
[17] 张爱祥, 宋士瞻, 高扬, 等. 含能源互联微网的主动配电网分层分布式协调控制[J]. 电力系统保护与控制, 2019, 47(19): 131-138
ZHANG Aixiang, SONG Shizhan, GAO Yang, et al. Hierarchical distributed coordinated control of active distribution network including energy interconnection micro grid[J]. Power System Protection and Control, 2019, 47(19): 131-138
[18] 李宇泽, 齐峰, 朱英伟, 等. 多能互补综合能源电力系统的建设模式初探[J]. 电力科学与技术学报, 2019, 34(1): 3-10
LI Yuze, QI Feng, ZHU Yingwei, et al. A preliminary investigation on construction modes of a multi-energy complementary integrated energy system[J]. Journal of Electric Power Science and Technology, 2019, 34(1): 3-10

多能互补系统全寿命周期优化配置方法

Optimal Configuration of Multi-Energy Complementary System Considering Full Life Cycle

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多能互补系统全寿命周期优化配置方法

Optimal Configuration of Multi-Energy Complementary System Considering Full Life Cycle

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