引用本文: | 李健强,余光正,汤 波,等.考虑风光利用率和含氢能流的多能流综合能源系统规划[J].电力系统保护与控制,2021,49(14):11-20.[点击复制] |
LI Jianqiang,YU Guangzheng,TANG Bo,et al.Multi-energy flow integrated energy system planning considering wind and solar utilization and containing hydrogen energy flow[J].Power System Protection and Control,2021,49(14):11-20[点击复制] |
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摘要: |
传统多能流综合能源系统往往面临绿色可再生能源装机比例低、利用率低的问题,同时氢燃料汽车的逐渐普及将增加对氢能的需求,将电能转化为氢能是满足交通部门潜在氢需求的有效途径。针对风光装机比例低、利用率低和氢能需求的问题,提出了一种考虑风光利用率和含氢能流的多能流综合能源系统规划方法。首先,计及氢能流构建了电/热/冷/氢多能流综合能源系统。其次,考虑系统年投资费用、运行费用和风光利用率的多目标,构建双层规划-调度模型,以电、热、冷、氢等4种形式能量平衡和元件工作特性为约束,采用非支配性排序遗传算法和商用求解器结合的混合智能算法进行求解。最后,以某地区实际工业园区为例,对所提方法进行验证。案例结果分析表明所提出的方法可有效降低系统年总投资成本,显著提高风光装机比例和利用率,提高系统运行稳定性和经济性 |
关键词: 氢能流 风光利用率 多能流综合能源系统 优化配置 双层模型 |
DOI:DOI: 10.19783/j.cnki.pspc.201273 |
投稿时间:2020-10-22修订日期:2020-12-20 |
基金项目:国家自然科学基金项目资助(51807114); 上海市科委项目资助(18DZ1203200) |
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Multi-energy flow integrated energy system planning considering wind and solar utilization and containing hydrogen energy flow |
LI Jianqiang1,YU Guangzheng1,TANG Bo1,YANG Xiu1,XIA Xiangwu1,2,LIU Jing3,PAN Aiqiang 3 |
(1. Shanghai University of Electric Power, Shanghai 200090, China; 2. China Coal Technology & Engineering Group,
Shanghai 200030, China; 3. State Grid Shanghai Electric Power Research Institute, Shanghai 200080, China) |
Abstract: |
Traditional multi-energy flow integrated energy systems often face the dual problems of low installed capacity and low utilization rate of green renewable energy. The gradual popularization of hydrogen fuel vehicles will result in a large demand for hydrogen energy. The conversion of electrical energy into hydrogen energy is considered an effective way to meet potential hydrogen demand. This paper proposes a planning method for a multi-energy flow integrated energy system that considers wind and solar utilization and containing hydrogen energy flow. First, for the hydrogen energy flow, an electric/heating/cold/hydrogen integrated energy system is constructed. Secondly, considering the multi-objectives of the system annual investment cost, operating cost and wind and solar utilization rate, this paper constructs a two-level planning-scheduling model. This model takes the energy balance and component operating characteristics of the four forms of electricity/heat/cold/hydrogen as constraints, and uses a non-dominant sequencing hybrid intelligent algorithm combining a genetic algorithm and commercial solver to solve the problem. Finally, it takes an actual industrial park as an example to verify the method proposed. The results show that the method can effectively reduce the total annual investment cost of the system, significantly increase the proportion and utilization of wind and solar installed capacity, and improve the stability and economy of system operation.
This work is supported by the National Natural Science Foundation of China (No. 51807114) and the Project of Shanghai Science and Technology Commission (No. 18DZ1203200). |
Key words: hydrogen energy flow wind and solar utilization multi-energy flow integrated energy system planning two-level model |