文章摘要
高滢,王芃,薛友,等.计及需求侧管理的电—气集成能源系统协同规划[J].电力系统自动化,2018,42(13):3-11. DOI: 10.7500/AEPS20180223002.
GAO Ying,WANG Peng,XUE You, et al.Collaborative Planning of Integrated Electricity-Gas Energy Systems Considering Demand Side Management[J].Automation of Electric Power Systems,2018,42(13):3-11. DOI: 10.7500/AEPS20180223002.
计及需求侧管理的电—气集成能源系统协同规划
Collaborative Planning of Integrated Electricity-Gas Energy Systems Considering Demand Side Management
DOI:10.7500/AEPS20180223002
关键词: 电—气集成能源系统  协同规划  削峰填谷  需求侧管理  风电消纳  用户满意度
KeyWords: integrated electricity-gas energy system  collaborative planning  load shifting  demand side management  accommodation of wind power  customer satisfaction
上网日期:2018-05-30
基金项目:国家重点研发计划资助项目(2017YFB0903000);国家自然科学基金资助项目(U1509218)
作者单位E-mail
高滢 浙江大学电气工程学院, 浙江省杭州市 310027  
王芃 浙江大学电气工程学院, 浙江省杭州市 310027  
薛友 浙江大学电气工程学院, 浙江省杭州市 310027  
文福拴 浙江大学电气工程学院, 浙江省杭州市 310027 fushuan.wen@gmail.com 
张利军 国网浙江省电力有限公司经济技术研究院, 浙江省杭州市 310008  
孙可 国网浙江省电力有限公司, 浙江省杭州市 310007  
徐晨博 国网浙江省电力有限公司经济技术研究院, 浙江省杭州市 310008  
摘要:
      随着电转气技术的发展,电力系统与天然气系统间的耦合程度不断增强,传统电力系统与天然气系统独立规划的模式已不能满足电—气集成能源系统(IEGES)的需要。另一方面,实施需求侧管理可以优化电力负荷轮廓、实现削峰填谷、提升消纳间歇性可再生能源发电的能力,有利于整个IEGES的安全与经济运行。在此背景下,对计及需求侧管理的IEGES的协同规划问题进行了探讨。首先,基于用户满意度对需求侧管理建模,并以包括投资成本、运行成本和需求侧管理补偿费用的总成本最小为优化目标,建立IEGES中燃气机组、电转气设备、输电线路和天然气管道选址规划的混合整数非线性规划模型。然后,为加快求解速度,对模型中的非线性部分进行线性化处理,将原混合整数非线性规划问题转化为混合整数线性规划问题,并采用AMPL/CPLEX商业求解器求解。最后,以由修改的IEEE 39节点电力系统与比利时20节点天然气系统耦合形成的IEGES为例,对所构造的模型和采用的方法进行说明,并考察了其在节约成本和消纳风电方面的影响。
Abstract:
      With the development of power-to-gas technology, the coupling between a power system and a natural gas system concerned is gradually strengthened. The traditional mode of separately planning a power system and a natural gas system is no longer applicable for a closed-loop operated electricity-natural gas energy system or an integrated electricity-gas energy system(IEGES). On the other hand, demand side management can optimize the power load profile, contribute to load shifting and enhance the capability of accommodating intermittent renewable energy generation, and hence promote the secure and economic operation of the whole IEGES. Given this background, the collaborative planning problem of IEGES is studied, with demand side management(DSM)taken into account. First, DSM is modeled with the satisfaction of customers respected. On this basis, a mixed-integer nonlinear programming model is presented for the planning of natural gas-fired units, power to gas(P2G)devices, transmission lines and natural-gas pipelines in an IEGES, with an objective of minimizing the total costs including the investment cost, operation cost and compensation cost for DSM. To speed up the solving procedure, this mixed-integer nonlinear programming model is transformed into a mixed-integer linear programming one by linearizing nonlinear terms and then solved by the commercial solver AMPL/CPLEX. Finally, the presented model and method are demonstrated by an IEGES including a modified version of the IEEE 39-bus power system and the Belgium 20-bus natural gas system, and the effects on cost saving and the promotion of the accommodating capability for wind power generation are examined as well.
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