计及模糊随机性的主动配电网分布式电源规划模型
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摘要
随着分布式电源(distributed generation,DG)大规模接入,电源规划与网架结构不匹配问题开始引起人们的关注与思考。因此,文章从DG最优配置的角度出发,同时考虑网架结构优化,建立了计及模糊随机性的主动配电网DG规划模型。首先针对DG接入给配电网引入的强不确定问题,提出一种计及DG出力模糊随机性的典型日场景生成方法,提高模型的精度和准确性。然后,分别以DG供应商年收益最大和配电公司年网损费用最低为上、下层的目标函数,构建主动配电网双层DG规划模型。为促进DG的消纳,上层模型还考虑了储能的协调优化过程。最后,基于改进的IEEE-33节点系统,采用GAMS-DICOPT求解器和自适应权重离散粒子群算法对规划模型求解,验证了模型的有效性。算例结果表明,通过DG的合理配置与网架结构优化,能够实现多利益主体的共赢,并促进DG的消纳。
With large-scale DG accessing into the power system,the mismatch between generation planning and grid structure has aroused people 's concern and thinking. Therefore,from the viewof the optimal allocation of DG and considering the optimization of grid structure,a DG planning model of active distribution network with fuzziness and randomness is established. Firstly,strong uncertainty introduced by DG,a typical day scene method,which takes into account the fuzziness and randomness of distributed generation output,is proposed to improve the accuracy of the model.Then,the bi-level DG planning model of the active distribution network is constructed with the maximum annual income of the DG suppliers and the minimum annual network loss cost of the distribution company. In addition,in order to promote the consumption of DG,the upper model also considers coordinated optimization process of energy storage system. Finally,on the basis of the improved IEEE 33-node system,the GAM S-DICOPT solver and discrete particle swarm optimization algorithm with adaptive weight are used to solve the planning model,and the validity of the model is verified. The result shows that through the rational allocation of DG and the optimization of grid structure,the multi-stakeholder 's win-win situation can be realized and the consumption of DG will be promoted at the same time.
With large-scale DG accessing into the power system,the mismatch between generation planning and grid structure has aroused people 's concern and thinking. Therefore,from the viewof the optimal allocation of DG and considering the optimization of grid structure,a DG planning model of active distribution network with fuzziness and randomness is established. Firstly,strong uncertainty introduced by DG,a typical day scene method,which takes into account the fuzziness and randomness of distributed generation output,is proposed to improve the accuracy of the model.Then,the bi-level DG planning model of the active distribution network is constructed with the maximum annual income of the DG suppliers and the minimum annual network loss cost of the distribution company. In addition,in order to promote the consumption of DG,the upper model also considers coordinated optimization process of energy storage system. Finally,on the basis of the improved IEEE 33-node system,the GAM S-DICOPT solver and discrete particle swarm optimization algorithm with adaptive weight are used to solve the planning model,and the validity of the model is verified. The result shows that through the rational allocation of DG and the optimization of grid structure,the multi-stakeholder 's win-win situation can be realized and the consumption of DG will be promoted at the same time.
引文
[1]MUOZ-DELGADO G,CONTRERAS J,ARROYO J M.M ultistage generation and netw ork expansion planning in distribution systems considering uncertainty and reliability[J].IEEETransactions on Pow er Systems,2016,31(5):3715-3728.
[2]ROMERO R,ROCHA C,MANTOVANI M,et al.Analysis of heuristic algorithms for the transportation model in static and multistage planning in netw ork expansion systems[J].IETProceedings-Generation,Transmission and Distribution,2003,150(5):521-526.
[3]张沈习,袁加妍,程浩忠,等.主动配电网中考虑需求侧管理和网络重构的分布式电源规划方法[J].中国电机工程学报,2016,36(s1):1-9.ZHANG Shenxi,YUAN Jiayan,CHENG Zhonghao,et al.Optimal distributed generation planning in active distribution netw ork considering demand side management and netw ork reconfiguration[J].Proceedings of the CSEE,2016,36(s1):1-9.
[4]张宁,胡兆光,周渝慧,等.计及随机模糊双重不确定性的源网荷协同规划模型[J].电力系统自动化,2016,40(1):39-44.ZHANG Ning,HU Zhaoguang,ZHOU Yuhui,et al.Source-gridload coordinated planning model considering ranfomness and fuzziness[J].Automation of Electric Pow er Systems,2016,40(1):39-44.
[5]张彼德,何頔,张强,等.含分布式电源的配电网双层扩展规划[J].电力系统保护与控制,2016,44(2):80-85.ZHANG Bide,HE Di,ZHANG Qiang,et al.Double distribution netw ork expansion planning including distributed pow er[J].Pow er System Protection and Control,2016,44(2):80-85.
[6]邢海军,程浩忠,杨镜非,等.考虑多种主动管理策略的配电网扩展规划[J].电力系统自动化,2016,40(23):70-76.XING Haijun,CHENG Haozhong,YANG Jingfei,et al.Distribution netw ork expansion planning considering multiple active management strategies[J].Automation of Electric Pow er Systems,2016,40(23):70-76.
[7]李秀磊,耿光飞,季玉琦,等.主动配电网中储能和需求侧响应的联合优化规划[J].电网技术,2016,40(12):3803-3810.LI Xiulei,GENG Guangfei,JI Yuqi,et al.Integrated optimal planning of energy storage and demand side response in active pow er distribution netw ork[J].Pow er System Technology,2016,40(12):3803-3810.
[8]宋福龙,吴洲洋,张艳,等.大规模风电下基于模糊场景聚类的网-储协调规划方法[J].电力自动化设备,2018,38(2):74-80.SONG Fulong,WU Zhouyang,ZHANG Yan,et al.Fuzzy scene clustering based grid-energy storage coordinated planning method w ith large-scale w ind pow er[J].Electric Pow er Automation Equipment,2018,38(2):74-80.
[9]薛禹胜,雷兴,薛峰,等.关于风电不确定性对电力系统影响的评述[J].中国电机工程学报,2014,34(29):5029-5040.XUE Yusheng,LEI Xing,XUE Feng,et al.A review on impacts of w ind pow er uncertainties on pow er systems[J].Proceedings of the CSEE,2014,34(29):5029-5040.
[10]高红均,刘俊勇,魏震波,等.主动配电网分层鲁棒规划模型及其求解方法[J].中国电机工程学报,2017,37(5):1389-1400.GAO Hongjun,LIU Junyong,WEI Zhenbo,et al.A bi-level robust planning model of active distribution netw ork and its solution method[J].Proceedings of the CSEE,2017,37(5):1389-1400.
[11]王淳,高元海.采用最优模糊C均值聚类和改进化学反应算法的配电网络动态重构[J].中国电机工程学报,2014,34(10):1682-1691.WANG Chung,GAO Yuanhai.Dynamic reconfiguration of distribution netw ork based on optimal fuzzy C-means clustering and improved chemical reaction optimization[J].Proceedings of the CSEE,2014,34(10):1682-1691.
[12]王群,董文略,杨莉.基于Wasserstein距离和改进K-medoids聚类的风电/光伏经典场景集生成算法[J].中国电机工程学报,2015,35(11):2654-2661.WANG Qun,DONG Wenlue,YANG Li.A w ind pow er/photovoltaic typical scenario set generation algorithm based on w asserstein distance metric and revised K-medoids cluster[J].Proceedings of the CSEE,2015,35(11):2654-2661.
[13]张沈习,程浩忠,邢海军,等.配电网中考虑不确定性的分布式电源规划研究综述[J].电力自动化设备,2016,36(8):1-9.ZHANG Shenxi,CHENG Haozhong,XING Haijun,et al.Review of DG planning considering uncertainties for distribution netw ork[J].Electric Power Automation Equipment,2016,36(8):1-9.
[14]刘宝碇.不确定规划及应用[M].北京:清华大学出版社,2003.
[15]马瑞,张强,吴瑕,等.日风速随机模糊不确定模型[J].中国电机工程学报,2015,35(24):6351-6358.M A Rui,ZHANG Qiang,WU Xia,et al.Random fuzzy uncertain model for daily w ind speed[J].Proceedings of the CSEE,2015,35(24):6351-6358.
[16]LIU B.Theory and practice of uncertain programming[M].Berlin:Springer,2009.
[17]江岳文,陈冲,温步瀛.含风电场的电力系统机组组合问题随机模拟粒子群算法[J].电工技术学报,2009,24(6):129-137.JIANG Yuew en,CHEN Chong,WEN Buying.Particle sw arm research of stochastic simulation for unit commitment in w ind farms integrated pow er system[J].Transactions of China Electrotechnical Society,2009,24(6):129-137.
[18]薛金花,叶季蕾,陶琼,等.采用全寿命周期成本模型的用户侧电池储能经济可行性研究[J].电网技术,2016,40(8):2471-2476.XUE Jinhua,YE Jilei,TAO Qiong,et al.Economic feasibility of user-side battery energy storage based on w hole-life-cycle cost model[J].Pow er System Technology,2016,40(8):2471-2476.
[19]ZHU J,GU W,LOU G,et al.Learning automata-based methodology for optimal allocation of renew able distributed generation considering netw ork reconfiguration[J].IEEE Access,2017,5(99):14275-14288.
[20]GAMS Development Corporation.GAMS,the solvers’manual[EB/OL].[2013-12-23](2018-07-01).http://www.gams.com/solvers/.
[21]苏海锋,张建华,梁志瑞,等.基于LCC和改进粒子群算法的配电网多阶段网架规划优化[J].中国电机工程学报,2013,33(4):118-125.SU Haifeng,ZHANG Jianhua,LIANG Zhirui,et al.M ulti-stage planning optimization for pow er distribution netw ork based on LCCand improved PSO[J].Proceedings of the CSEE,2013,33(4):118-125.
[22]NICKABADI A,EBADZADEH M M,SAFABAKHSH R.Anovel particle sw arm optimization algorithm w ith adaptive inertia w eight[J].Applied Soft Computing,2011,11(4):3658-3670.
[2]ROMERO R,ROCHA C,MANTOVANI M,et al.Analysis of heuristic algorithms for the transportation model in static and multistage planning in netw ork expansion systems[J].IETProceedings-Generation,Transmission and Distribution,2003,150(5):521-526.
[3]张沈习,袁加妍,程浩忠,等.主动配电网中考虑需求侧管理和网络重构的分布式电源规划方法[J].中国电机工程学报,2016,36(s1):1-9.ZHANG Shenxi,YUAN Jiayan,CHENG Zhonghao,et al.Optimal distributed generation planning in active distribution netw ork considering demand side management and netw ork reconfiguration[J].Proceedings of the CSEE,2016,36(s1):1-9.
[4]张宁,胡兆光,周渝慧,等.计及随机模糊双重不确定性的源网荷协同规划模型[J].电力系统自动化,2016,40(1):39-44.ZHANG Ning,HU Zhaoguang,ZHOU Yuhui,et al.Source-gridload coordinated planning model considering ranfomness and fuzziness[J].Automation of Electric Pow er Systems,2016,40(1):39-44.
[5]张彼德,何頔,张强,等.含分布式电源的配电网双层扩展规划[J].电力系统保护与控制,2016,44(2):80-85.ZHANG Bide,HE Di,ZHANG Qiang,et al.Double distribution netw ork expansion planning including distributed pow er[J].Pow er System Protection and Control,2016,44(2):80-85.
[6]邢海军,程浩忠,杨镜非,等.考虑多种主动管理策略的配电网扩展规划[J].电力系统自动化,2016,40(23):70-76.XING Haijun,CHENG Haozhong,YANG Jingfei,et al.Distribution netw ork expansion planning considering multiple active management strategies[J].Automation of Electric Pow er Systems,2016,40(23):70-76.
[7]李秀磊,耿光飞,季玉琦,等.主动配电网中储能和需求侧响应的联合优化规划[J].电网技术,2016,40(12):3803-3810.LI Xiulei,GENG Guangfei,JI Yuqi,et al.Integrated optimal planning of energy storage and demand side response in active pow er distribution netw ork[J].Pow er System Technology,2016,40(12):3803-3810.
[8]宋福龙,吴洲洋,张艳,等.大规模风电下基于模糊场景聚类的网-储协调规划方法[J].电力自动化设备,2018,38(2):74-80.SONG Fulong,WU Zhouyang,ZHANG Yan,et al.Fuzzy scene clustering based grid-energy storage coordinated planning method w ith large-scale w ind pow er[J].Electric Pow er Automation Equipment,2018,38(2):74-80.
[9]薛禹胜,雷兴,薛峰,等.关于风电不确定性对电力系统影响的评述[J].中国电机工程学报,2014,34(29):5029-5040.XUE Yusheng,LEI Xing,XUE Feng,et al.A review on impacts of w ind pow er uncertainties on pow er systems[J].Proceedings of the CSEE,2014,34(29):5029-5040.
[10]高红均,刘俊勇,魏震波,等.主动配电网分层鲁棒规划模型及其求解方法[J].中国电机工程学报,2017,37(5):1389-1400.GAO Hongjun,LIU Junyong,WEI Zhenbo,et al.A bi-level robust planning model of active distribution netw ork and its solution method[J].Proceedings of the CSEE,2017,37(5):1389-1400.
[11]王淳,高元海.采用最优模糊C均值聚类和改进化学反应算法的配电网络动态重构[J].中国电机工程学报,2014,34(10):1682-1691.WANG Chung,GAO Yuanhai.Dynamic reconfiguration of distribution netw ork based on optimal fuzzy C-means clustering and improved chemical reaction optimization[J].Proceedings of the CSEE,2014,34(10):1682-1691.
[12]王群,董文略,杨莉.基于Wasserstein距离和改进K-medoids聚类的风电/光伏经典场景集生成算法[J].中国电机工程学报,2015,35(11):2654-2661.WANG Qun,DONG Wenlue,YANG Li.A w ind pow er/photovoltaic typical scenario set generation algorithm based on w asserstein distance metric and revised K-medoids cluster[J].Proceedings of the CSEE,2015,35(11):2654-2661.
[13]张沈习,程浩忠,邢海军,等.配电网中考虑不确定性的分布式电源规划研究综述[J].电力自动化设备,2016,36(8):1-9.ZHANG Shenxi,CHENG Haozhong,XING Haijun,et al.Review of DG planning considering uncertainties for distribution netw ork[J].Electric Power Automation Equipment,2016,36(8):1-9.
[14]刘宝碇.不确定规划及应用[M].北京:清华大学出版社,2003.
[15]马瑞,张强,吴瑕,等.日风速随机模糊不确定模型[J].中国电机工程学报,2015,35(24):6351-6358.M A Rui,ZHANG Qiang,WU Xia,et al.Random fuzzy uncertain model for daily w ind speed[J].Proceedings of the CSEE,2015,35(24):6351-6358.
[16]LIU B.Theory and practice of uncertain programming[M].Berlin:Springer,2009.
[17]江岳文,陈冲,温步瀛.含风电场的电力系统机组组合问题随机模拟粒子群算法[J].电工技术学报,2009,24(6):129-137.JIANG Yuew en,CHEN Chong,WEN Buying.Particle sw arm research of stochastic simulation for unit commitment in w ind farms integrated pow er system[J].Transactions of China Electrotechnical Society,2009,24(6):129-137.
[18]薛金花,叶季蕾,陶琼,等.采用全寿命周期成本模型的用户侧电池储能经济可行性研究[J].电网技术,2016,40(8):2471-2476.XUE Jinhua,YE Jilei,TAO Qiong,et al.Economic feasibility of user-side battery energy storage based on w hole-life-cycle cost model[J].Pow er System Technology,2016,40(8):2471-2476.
[19]ZHU J,GU W,LOU G,et al.Learning automata-based methodology for optimal allocation of renew able distributed generation considering netw ork reconfiguration[J].IEEE Access,2017,5(99):14275-14288.
[20]GAMS Development Corporation.GAMS,the solvers’manual[EB/OL].[2013-12-23](2018-07-01).http://www.gams.com/solvers/.
[21]苏海锋,张建华,梁志瑞,等.基于LCC和改进粒子群算法的配电网多阶段网架规划优化[J].中国电机工程学报,2013,33(4):118-125.SU Haifeng,ZHANG Jianhua,LIANG Zhirui,et al.M ulti-stage planning optimization for pow er distribution netw ork based on LCCand improved PSO[J].Proceedings of the CSEE,2013,33(4):118-125.
[22]NICKABADI A,EBADZADEH M M,SAFABAKHSH R.Anovel particle sw arm optimization algorithm w ith adaptive inertia w eight[J].Applied Soft Computing,2011,11(4):3658-3670.