| 引用本文: | 彭春华,张金克,陈露,孙惠娟.计及差异化需求响应的微电网源荷储协调优化调度[J].电力自动化设备,2020,40(3): |
| PENG Chunhua,ZHANG Jinke,CHEN Lu,SUN Huijuan.Source-load-storage coordinated optimal scheduling of microgrid considering differential demand response[J].Electric Power Automation Equipment,2020,40(3): |
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| 摘要: |
| 为应对微电网中源荷匹配性较差及弃风弃光的问题，计及需求响应对微电网源荷储协调优化调度进行研究。为了更准确地体现实际需求响应的特点，根据电量价格响应弹性的非线性特点和不同类型负荷响应弹性的差异性，提出基于指数变化的差异化需求响应机制；建立以系统运行成本最低为目标的微电网源荷储协调优化调度模型；通过引入多核并行运行环境和双策略微分进化变异机制构造并行双策略微分进化算法，该算法兼顾寻优深度和寻优速度，实现了对模型的高效求解。算例结果表明，所提方法能够有效改善源荷两侧的匹配度以实现削峰填谷，并能提升系统风光消纳量以及节约运行成本。 |
| 关键词: 微电网 差异化需求响应 源荷匹配性 风光消纳 并行计算 双策略微分进化算法 调度 |
| DOI：10.16081/j.epae.202002031 |
| 分类号:TM73 |
| 基金项目:国家自然科学基金资助项目(51867008,5156-7007)；江西省自然科学基金资助项目(20192ACBL20007) |
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| Source-load-storage coordinated optimal scheduling of microgrid considering differential demand response |
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PENG Chunhua, ZHANG Jinke, CHEN Lu, SUN Huijuan
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School of Electrical & Automation Engineering, East China Jiaotong University, Nanchang 330013, China
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| Abstract: |
| In order to deal with the problems of poor source-load matching and wind power and photovoltaic abandoning in microgrid, the source-load-storage coordinated optimal scheduling of microgrid considering demand response is researched. In order to more accurately reflect the characteristics of actual demand response, a differential demand response mechanism based on exponential change is proposed according to the nonlinear characteristics of electricity price response elasticity and the difference of different types of load response elasticity. A source-load-storage coordinated optimal scheduling model is built with the minimum system operation cost as its objective. A parallel dual-strategy differential evolution algorithm is constructed by introducing multi-core parallel operation environment and dual-strategy differential evolutionary mutation mechanism, which considers both the optimization depth and optimization speed, and realizes the efficient solution of model. Case results show that the proposed method can effectively improve the matching degree between source and load to achieve peak load shifting, and can upgrade the wind power and photovoltaic absorption capacity of system and save the operation cost. |
| Key words: microgrid differential demand response source-load matching wind power and photovoltaic consumption parallel computing dual-strategy differential evolution algorithm scheduling |
