| 引用本文: | 朱晔,兰贞波,隗震,等.考虑碳排放成本的风光储多能互补系统优化运行研究[J].电力系统保护与控制,2019,47(10):127-133.[点击复制] |
| ZHU Ye,LAN Zhenbo,WEI Zhen,et al.Research on optimal operation of wind-PV-ES complementary system considering carbon emission cost[J].Power System Protection and Control,2019,47(10):127-133[点击复制] |
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| 考虑碳排放成本的风光储多能互补系统优化运行研究 |
| 朱晔,兰贞波,隗震,刘波,冯万兴,周盛,陈轩恕,韦古强,孙辰军,张崧 |
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| (国网电力科学研究院武汉南瑞有限责任公司，湖北 武汉 430074;南瑞集团公司国网电力科学研究院， 江苏 南京 211000;都城伟业集团有限公司，北京 100032;国网河北省电力公司，河北 石家庄 050011;哈尔滨供电局有限公司，黑龙江 哈尔滨 150006) |
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| 摘要: |
| 为提高风电、光伏等新能源的消纳能力，提升多能互补微网系统运行经济性，提出了一种风光储多能互补微网系统并网日前调度的优化模型。模型的目标函数变量包括储能电池运行成本、系统弃风弃光成本、削负荷成本以及从上级电网购电成本，同时考虑到系统从上级电网购电将产生碳排放，基于此建立碳排放成本计算模型，并计入目标函数中。约束条件中考虑了储能电池充放电功率和容量、购售电功率平衡以及上级电网交换功率上限等约束。采用粒子群算法对模型进行求解。算例分析结果表明，所建模型能够充分考虑碳排放的环境因素以及系统实际运行特点，通过调节系统与上级电网的交换功率以及储能电池的充放电功率，能在实现系统运行成本最小的同时减少弃风弃光与削负荷情况。 |
| 关键词: 风光储多能互补 并网运行 日前调度 碳排放 粒子群算法 |
| DOI：10.7667/PSPC20191017 |
| 投稿时间：2018-05-31修订日期：2018-11-05 |
| 基金项目:国家电网公司总部科技项目资助(524625170015)“多业态生态开发区可再生能源综合开发与利用技术研究” |
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| Research on optimal operation of wind-PV-ES complementary system considering carbon emission cost |
| ZHU Ye,LAN Zhenbo,WEI Zhen,LIU Bo,FENG Wanxing,ZHOU Sheng,CHEN Xuanshu,WEI Guqiang,SUN Chenjun,ZHANG Song |
| (State Grid Electric Power Research Institute, Wuhan Nari Limited Liability Company, Wuhan 430074, China;Nari Group Company State Grid Electric Power Research Institute, Nanjing 211000, China;Ducheng Weiye Group Corporation, Beijing 100032, China;State Grid Hebei Electric Power Company, Shijiazhuang 050011, China;Harbin Electric Power Limited Company, Harbin 150006, China) |
| Abstract: |
| An optimization model of day-ahead scheduling for micro-grid with wind-PV-ES complementary system is proposed to improve the absorptive capacity and power supply reliability of wind power and photovoltaic and the economy of multi energy complementary micro network system. The objective function of the model include the operating cost of the energy storage battery, the cost of the system abandoning the wind and light, the cost of cutting the load and the cost of purchasing electricity from the higher power grid, at the same time, considering the carbon emission from the higher power grid, the carbon emission cost model is established, and the cost of the carbon emission is included in the objective function of the model. Constraints of energy storage battery, power balance and switching limit with upper power grid are considered in the model as well. Particle Swarm Optimization (PSO) algorithm is used to solve the model. The result shows that the model can fully consider the environmental factors of carbon emission and the actual operating characteristics of the system; by adjusting the switching power between the system and the upper power grid and the charging and discharging power of the storage battery, the system can realize the minimum operating cost and reduce the discarding of the wind and light, as well as the cutting load of the system. This work is supported by Science and Technology Project of State Grid Corporation of China (No. 524625170015) “Research on Renewable Renewable Comprehensive Development and Utilization Technique of Multi-format Ecology Development Zone”. |
| Key words: wind-PV-ES complementary grid connected operation day-ahead scheduling carbon emission cost particle swarm optimization |
