| 引用本文: | 王亚楠,吴杰康,毛晓明.基于随机动态规划的多能联供系统冷热电经济分配模型[J].电力自动化设备,2019,39(6): |
| WANG Yanan,WU Jiekang,MAO Xiaoming.Economic distribution model of cooling, heating and power energy in multi-energy supply system based on stochastic dynamic programming[J].Electric Power Automation Equipment,2019,39(6): |
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| 摘要: |
| 建立了风力发电机组与燃气轮机联合驱动下含压缩空气储能装置的多能联供系统冷热电经济分配模型。该模型考虑风电输出功率和冷、热、电负荷的波动特性，利用概率密度函数对系统的随机变量进行拟合。以投资成本和运行成本作为目标函数，以冷、热、电负荷平衡及各设备出力特性作为约束条件，采用随机动态规划对系统能源进行合理的调度和分配以达到最优经济效益，并通过控制系统的制冷比和风电输出功率平抑系数，实时调整系统各设备的容量及运行状态。实例的计算结果表明，压缩空气储能能够有效地平抑风电输出功率的波动，减少弃风经济损失；相比于固定能量分配，采用动态规划对系统的能量进行分配具有更多的价值和优势。 |
| 关键词: 多能联供系统 冷热电经济分配 压缩空气储能 随机动态规划 模型 |
| DOI：10.16081/j.issn.1006-6047.2019.06.003 |
| 分类号:TM732 |
| 基金项目:国家自然科学基金资助项目(51567002,50767-001)；国家高技术研究发展计划(863计划)项目(2007AA-04Z197)；高等教育博士点专项研究基金资助项目(200945-01110002)；广东自然科学基金资助项目(S2013010012431,2014A030313509)；广东省公益研究与能力建设专项资金资助项目(2014A010106026)；广东省应用型科技研发专项资金资助项目(2016B020244003) |
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| Economic distribution model of cooling, heating and power energy in multi-energy supply system based on stochastic dynamic programming |
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WANG Yanan, WU Jiekang, MAO Xiaoming
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School of Automation, Guangdong University of Technology, Guangzhou 510006, China
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| Abstract: |
| The economic distribution model of cooling, heating and power energy in multi-energy supply system with compressed air energy storage device driven by wind turbines and gas turbines is established. Considering the fluctuation characteristics of wind power output, cooling load, heating load and power load, the probability density function is used to fit the random variables of the system. Taking the investment cost and operation cost as the objective function, the balance among cooling, heating and power load and the output characteristics of each equipment as the constraint conditions, the stochastic dynamic programming is adopted to reasonably dispatch and distribute the system energy to achieve the optimal economic benefits. The capacity and operation state of each equipment in the system are adjusted in real time by controlling the cooling ratio of the system and the smoothing coefficient of wind power output. The calculative results of actual example show that the compressed air energy storage can effectively smooth the wind power output fluctuations and reduce the wind curtailment economic loss. Compared with the fixed energy allocation, it is more valuable and advantageous to use dynamic programming to distribute the system energy. |
| Key words: multi-energy supply system economic distribution among cooling, heating and power energy compressed air energy storage stochastic dynamic programming models |
