| 引用本文: | 肖斐,艾芊.基于模型预测控制的微电网多时间尺度需求响应资源优化调度[J].电力自动化设备,2018,(5): |
| XIAO Fei,AI Qian.Multiple time-scale optimal dispatch of demand response resource for microgrid based on model predictive control[J].Electric Power Automation Equipment,2018,(5): |
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| 摘要: |
| 为了解决微电网自身分布式能源就地消纳及参与上层电网需求响应的功率调度问题，提出一种微电网多时间尺度需求响应资源优化调度方法。建立了微电网多时间尺度需求响应调度框架，结合微电网的运行成本和需求响应补偿收益建立了日前最优经济调度模型；为了校正可再生能源和负荷的预测偏差，基于模型预测控制(MPC)方法建立了以联络线功率偏差和储能荷电状态(SOC)偏差最小为目标的日内滚动优化调度模型，通过引入可调容量比例因子考虑了微电网联络线功率的调节能力，保证微电网在消纳可再生能源的同时具备一定的可调容量；以实际微电网示范工程为例分析验证了所提方法的有效性和可行性，实验结果表明所提框架可使微电网有效地参与短时需求响应市场。 |
| 关键词: 微电网 多时间尺度 需求响应 模型预测控制 滚动优化 优化调度 可调容量比例因子 |
| DOI：10.16081/j.issn.1006-6047.2018.05.027 |
| 分类号:TM734 |
| 基金项目:国家自然科学基金资助项目(51577115) |
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| Multiple time-scale optimal dispatch of demand response resource for microgrid based on model predictive control |
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XIAO Fei, AI Qian
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Key Laboratory of Control of Power Transmission and Conversion, Shanghai Jiao Tong University, Shanghai, 200240, China
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| Abstract: |
| A multiple time-scale optimal dispatch method of demand response resource for microgrid is proposed to solve the problems of local consumption of distributed energy sources and the power dispatch for microgrid participa-ting in the demand response of upper level power grid. The multiple time-scale demand response dispatch framework of microgrid is developed and the day-ahead optimal economic dispatch model is established considering the operation costs and demand response compensation incomes of the microgrid. The MPC(Model Predictive Control)-based intra-day rolling optimal dispatch model is established to correct the prediction errors of renewable energy sources and load with the minimum tie-line power difference and SOC(State Of Charge) deviation of energy storage as its objective. The regulating ability of tie-line power is taken into consideration by the adjustable capacity scale factor to ensure certain adjustable capacity of microgrid while consuming renewable energy sources. A real microgrid project is taken as the case study to verify the effectiveness and feasibility of the proposed method and experimental results show that the microgrid can effectively participate in the short-term demand response market under the proposed framework. |
| Key words: microgrid multiple time scales demand response model predictive control rolling optimization optimal dispatch adjustable capacity scale factors |
