| 引用本文: | 侯旭桐,季 亮,刘 舒,等.基于双层优化模型的能源互联网自愈及优化运行策略研究[J].电力系统保护与控制,2022,50(23):9-18.[点击复制] |
| HOU Xutong,JI Liang,LIU Shu,et al.Self-healing and optimal operation strategy of the energy internet based on a bi-level optimization model[J].Power System Protection and Control,2022,50(23):9-18[点击复制] |
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| 摘要: |
| 电网和天然气网通过双向耦合可实现高可靠性运行。为解决电-气耦合的能源互联网故障自愈问题，提出了一种能源互联网自愈及优化运行方法。首先，该方法基于电-气耦合特性，充分利用天然气网对电网的能量补充，在考虑天然气网经济性和新能源出力不确定性的基础上，建立双层优化模型，实现综合能源系统的故障快速自愈及优化运行。上层模型利用基于广度优先搜索法的改进蚁群算法，优化供电恢复路径，得到系统开关状态。下层模型基于电-气耦合特性分析，以天然气网经济性为主要目标，采用条件风险价值理论(conditional value at risk, CVaR)，同时考虑新能源出力不确定性带来的运行风险，构建电-气耦合的能源互联网优化重构模型。然后，对双层优化模型进行求解并进行全局优化，得到电-气互联型能量调度最优的故障恢复和优化运行方案。最后，通过IEEE33节点配电网和7节点天然气网耦合的能源互联网仿真模型，验证了所提方法的有效性。 |
| 关键词: 故障恢复与优化运行 电-气耦合 能源互联网 双层优化模型 条件风险价值理论 |
| DOI：DOI:?10.19783/j.cnki.pspc.220123 |
| 投稿时间：2022-01-27修订日期：2022-03-15 |
| 基金项目:国家自然科学基金项目资助(61873159)；国网上海市电力公司科技项目资助(52094019006X)；上海绿色能源并网工程技术研究中心项目资助(13DZ2251900) |
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| Self-healing and optimal operation strategy of the energy internet based on a bi-level optimization model |
| HOU Xutong,JI Liang,LIU Shu,TIAN Shuxin,SU Xiangjing,LI Zhenkun |
| (1. School of Electric Power Engineering, Shanghai University of Electric Power, Shanghai 200090, China;
2. State Grid Shanghai Electric Power Research Institute, Shanghai 200090, China) |
| Abstract: |
| The power grid and natural gas network can achieve highly reliable operation through bidirectional coupling. To solve the fault self-healing problem of the electrical-gas coupled energy internet, a self-healing and optimized operation method of the energy internet is proposed. First, based on the electrical-gas coupling characteristics, the method makes full use of the natural gas network to supplement the grid energy, and considers the economy of the natural gas network and the uncertainty of new energy output to realize fault fast self-healing and optimizing operation of the integrated energy system. The upper model uses the improved ant colony algorithm based on the breadth-first search method to optimize the power supply recovery path to obtain the system switching state. The lower model is based on the analysis of the electrical-gas coupling characteristics and takes the economics of the natural gas network as the main goal. Then it uses the conditional value-at-risk theory (CVaR), and at the same time considers the operational risk brought by the uncertainty of new energy output to build an optimization and reconstruction model of the electricity-gas interconnected energy internet. Then, the two-layer optimization model is analysed and global optimization is carried out. Then optimal fault recovery and operation of the electricity-gas interconnected energy dispatch scheme is obtained. Finally, the effectiveness of the proposed method is verified by an energy internet simulation model coupled with an IEEE 33-node distribution network and a 7-node natural gas network.
This work is supported by the National Natural Science Foundation of China (No. 61873159). |
| Key words: fault recovery and optimized operation electricity-gas coupling energy internet bi-level optimization model conditional value at risk |
