| 引用本文: | 曾 鸣,杨雍琦,向红伟,王丽华,曾 博.兼容需求侧资源的 “源-网 -荷-储 ”协调优化调度模型[J].电力自动化设备,2016,36(2): |
| ZENG Ming,YANG Yongqi,XIANG Hongwei,WANG Lihua,ZENG Bo.Optimal dispatch model based on coordination between “generation - grid - load - energy storage” and demand-side resource[J].Electric Power Automation Equipment,2016,36(2): |
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| 摘要: |
| 提出通过提高需求侧和供应侧资源的协调可控性来应对当前电力系统双侧随机问题的新思路，在此基础上设计需求侧响应模型、储能设备充放电模型、风电及光伏发电出力预测模型，并构建以系统成本及污染排放最小化为目标函数的“源-网-荷-储”优化调度模型及相应的多目标粒子群优化算法。通过算例分析比较有无需求侧资源情况下的系统成本和污染排放，验证了所提模型和算法的科学性与合理性，以及需求侧资源在提高系统稳定性、节能减排方面的重要作用。 |
| 关键词: 需求侧资源 双侧随机问题 多目标粒子群优化算法 优化 调度 负荷管理 储能 |
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| 基金项目:国家软科学研究计划项目（2012GXS4B064）；国家自然科学基金资助项目（51277067，71271082）；中央高校基本科研业务费专项资金资助项目（2015XS43）；国家电网公司科学技术项目（基于减排目标的全球能源电力需求预测技术和模型研究 - 子课题2 - 需求侧管理模拟技术及其仿真应用研究） |
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| Optimal dispatch model based on coordination between “generation - grid - load - energy storage” and demand-side resource |
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ZENG Ming1, YANG Yongqi1, XIANG Hongwei1, WANG Lihua1, ZENG Bo2
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1.School of Economics and Management，North China Electric Power University，Beijing 102206，China;2.State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources， North China Electric Power University，Beijing 102206，China
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| Abstract: |
| A concept of improving the controllability of the coordination between demand-side and generation-side resources is proposed to cope with the bilateral randomness problem of power system，based on which，the demand-side response model，the SOC model of energy storage device and the power output prediction model of wind farm and photovoltaic station are established. An optimal generation-grid-load-energy storage system dis-patch model with the minimum system cost and pollution emission as its objective is built and the corres-ponding multi-objective particle swarm optimization algorithm is proposed. The case analysis is carried out to compare the system cost and pollution emission between with and without the demand-side resource，which verifies the scientificity and rationality of the proposed model and algorithm and the important role of demand-side resource in system stability improvement，energy saving and emission reduction. |
| Key words: demand-side resource bilateral randomness problem multi-objective particle swarm optimization algorithm optimization dispatch electric load management energy storage |
