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工程科学与技术:2019,51(4):147-156
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基于机会约束的考虑N-1安全约束的储能优化配置方法
(可再生能源发电与并网控制教育部工程研究中心(新疆大学), 新疆 乌鲁木齐 830047)
Optimal Allocation of Energy Storage Considering N-1 Security Constraints Based on Chance Constraints
(Eng. Research Center of Education Ministry for Renewable Energy Power Generation and Grid Control (Xinjiang Univ.), Urumqi 830047, China)
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投稿时间:2018-09-01    修订日期:2019-05-28
中文摘要: 为了解决公共储能在含高比例可再生能源输电网中选址定容的问题,提出了一种基于机会约束的虑及N-1安全约束的公共储能规划方法,用于计算公共储能的安装地点、额定容量和功率配置,在确保输电网安全运行的前提下,提升输电网的经济效益和新能源消纳比例。该方法综合考虑常规电厂、可再生能源电站和储能投资者三方利益,以输电网发电成本、弃风光惩罚最小和储能收益最大为目标函数,在考虑常规发电机组开、停状态和出力约束的同时考虑储能的充、放电状态及充、放电功率约束,在考虑输电网正常状态下安全约束的同时考虑输电网N-1状态下的安全约束。针对发输电可靠性测试系统IEEE RTS-96建立了仿真算例,以典型日负荷、风电和光伏预测出力数据作为依据,利用改进广义Benders分解法进行求解,并使用灵敏度分析法对优化结果进行对比分析,分析结果表明,所得储能优化方案可有效消除N-1故障时的支路潮流越限,能够保证输电网N-1状态下的安全运行,相较于不考虑N-1网络安全约束,本文方法所得优化结果虽然经济性略有降低,但是在线机组最大容量、负载率均衡度等安全指标均得到明显提高,提升了储能整合后输电网运行的安全性。所得储能规划方案实现了确保输电网N-1安全性的经济性最优,可用于指导对安全性要求较高的储能规划,具有一定的工程实用价值。
Abstract:In order to solve the problems of energy storage location and capacity in transmission network with high percentage of renewable energy, an optimal method considering N-1 security constraints based on chance constraints was proposed. It can calculate the location, rated capacity and power of energy storage. On the premise of ensuring the security of the transmission network, the economic benefits of the transmission network and the proportion of new energy consumption should be improved. In this paper, the benefits of power plants, renewable plants and energy storage owners were considered. An object function was established to minimize the generating cost, wind-solar energy abandoning cost and maximize energy storage benefits. To acquire the optimal location, rated capacity and power of energy storage, many constraints were introduced, such as conventional generators on-off and power output, charge-discharge state and power of energy storage, N and N-1 security constraints of transmission network. According to the predicted data of typical daily load, wind power and photovoltaic, a simulation example was established for the reliability test system of generation and transmission IEEE RTS-96. The problem was solved by the improved generalized Benders decomposition method. Then, the sensitivity analysis method was used to compare and analyze the optimization results. The analysis results showed that the branch power flow overstepping could effectively eliminated when N-1 fault occurred. The security of the transmission network under N-1 state could be ensured. Compared with the method without considering N-1 security constraints, although slightly lower in economy, the maximum capacity of online units and load rate balance safety indicators are significantly improved, which accordingly improves the security of transmission network after energy storage integration. The proposed method can be used to guide energy storage planning with higher security requirements, and is worth to apply in engineering projects.
文章编号:201800971     中图分类号:TM76    文献标志码:
基金项目:国家自然科学基金项目(51667020)
作者简介:沙强益(1974-),男,博士生.研究方向:电力系统优化运行;可再生能源并网技术.E-mail:shaqiangyi@163.com
引用文本:
沙强益,王维庆.基于机会约束的考虑N-1安全约束的储能优化配置方法[J].工程科学与技术,2019,51(4):147-156.
SHA Qiangyi,WANG Weiqing.Optimal Allocation of Energy Storage Considering N-1 Security Constraints Based on Chance Constraints[J].Advanced Engineering Sciences,2019,51(4):147-156.