| 引用本文: | 李志伟,赵书强,刘金山.基于机会约束目标规划的风-光-水-气-火-储联合优化调度[J].电力自动化设备,2019,39(8): |
| LI Zhiwei,ZHAO Shuqiang,LIU Jinshan.Coordinated optimal dispatch of wind-photovoltaic-hydro-gas-thermal-storage system based on chance-constrained goal programming[J].Electric Power Automation Equipment,2019,39(8): |
|
| 摘要: |
| 在可再生能源大规模接入电力系统的背景下，为了利用不同能源互补特性解决电力系统弃风、弃光的问题，建立风电、光伏发电、凝汽式火电机组、热电机组、燃气轮机、联合循环燃气轮机、梯级水电和抽水储能机组的模型，在此基础上，考虑风电和光伏发电出力的不确定和水、热、电能量平衡，建立基于机会约束目标规划的风-光-水-气-火-储联合优化调度模型。为了提高模型求解效率，利用基于采样的机会约束条件确定性转化方法将机会约束条件转化为混合整数约束条件。算例验证了所提模型的有效性。将所提调度模型与现行火电机组“以热定电”、梯级水电“以水定电”的模式进行对比，结果表明所提协调调度模型能够利用不同机组之间的互补特性提高电力系统运行的灵活性，从而提高可再生能源的消纳能力，降低系统运行成本。 |
| 关键词: 电力系统优化调度 机会约束目标规划 模型确定性转化 风电 光伏发电 |
| DOI：10.16081/j.epae.201908024 |
| 分类号:TM73 |
| 基金项目:国家重点研发计划资助项目(2017YFB0902200)；中央高校基本科研业务费专项资金资助项目(2018QN074)；国家电网公司科技项目(5228001700CW) |
|
| Coordinated optimal dispatch of wind-photovoltaic-hydro-gas-thermal-storage system based on chance-constrained goal programming |
|
LI Zhiwei1, ZHAO Shuqiang1, LIU Jinshan2
|
|
1.State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding 071003, China;2.Dispatching and Control Center of State Grid Qinghai Electric Power Company, Xining 810008, China
|
| Abstract: |
| In the background of large scale renewable energy accessing to power system, in order to use the complementary characteristics of different energy sources to solve the wind power and photovoltaic abandon problem, the models of wind power, photovoltaic power generation, condensing thermal power unit, thermoelectric unit, gas turbine, combined cycle gas turbine, cascade hydropower and pumped storage unit are established, on this basis, a wind-photovoltaic-hydro-gas-thermal-storage coordinated optimal dispatch model is built based on chance-constrained goal programming, which considers the uncertainties of wind power and photovoltaic power generation and the energy balance of hydro, heat and electricity. In order to improve the mo-del solving efficiency, the chance-constrained condition deterministic transformation method based on sampling is used to transform the chance-constrained condition into a mixed integer constraint condition. The case verifies the effectiveness of the proposed model. The proposed model is compared with the current mode of thermal power unit with “power follow the heat” and cascade hydropower with “power decided by the water”,and results show that the proposed model can use the complementary characteristics of different units to improve the operation flexibility of power system, thereby improving the accommodation ability of renewable energy and reducing system operation costs. |
| Key words: optimal dispatch of power system chance-constrained goal programming model deterministic transformation wind power photovoltaic power generation |
