| 引用本文: | 罗舒钰,李奇,阳洋,蒲雨辰.计及电-热-氢差异化激励需求响应的园区综合能源系统优化调度[J].电力自动化设备,2023,43(12):214-221 |
| LUO Shuyu,LI Qi,YANG Yang,PU Yuchen.Community integrated energy system optimal scheduling considering differentiated power-heat-hydrogen incentive based demand response[J].Electric Power Automation Equipment,2023,43(12):214-221 |
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| 摘要: |
| 建立基于阶梯式补偿价格的电负荷需求响应模型，基于预计平均热感觉指数量化人体舒适度的热负荷需求响应模型以及基于智能停车场统一调度的电动汽车和氢燃料电池汽车需求响应模型。在此基础上，以电-热-氢园区综合能源系统为研究对象，考虑系统运维老化、激励补偿以及弃风弃光成本，通过混合整数线性规划求解得到优化调度策略。以东部沿海某城市实际数据为例，对所提方法的有效性进行验证，仿真结果表明所提方法能够充分挖掘需求侧资源的调节潜力，在调度灵活性和经济性上具有明显优势。 |
| 关键词: 园区综合能源系统 差异化需求响应 综合需求响应 多能耦合 需求侧资源 |
| DOI：10.16081/j.epae.202310002 |
| 分类号: |
| 基金项目:国家自然科学基金资助项目(52377123,51977181)；四川省自然科学基金资助项目(2022NSFSC0027) |
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| Community integrated energy system optimal scheduling considering differentiated power-heat-hydrogen incentive based demand response |
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LUO Shuyu, LI Qi, YANG Yang, PU Yuchen
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School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, China
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| Abstract: |
| The demand response model for power load based on stepped compensation price, demand res-ponse model for heat load based on the predicted mean vote to quantify human comfort, and demand response model for electric vehicles and hydrogen fuel cell vehicles based on unified dispatch of smart par-king lots are established. On this basis, taking the community integrated heat-power-hydrogen energy system as the research object, and considering system operation and maintenance aging, incentive compensation, and wind and light abandonment costs, the optimal dispatching strategy is obtained through mixed integer linear programming solution. Taking the actual data of an eastern coastal city as an example, the effectiveness of the proposed method is verified. The simulative results show that the proposed method can fully exploit the regulation potential of demand-side resources, and has obvious advantages in scheduling flexibility and economy. |
| Key words: community integrated energy system differentiated incentive demand response integrated demand response multi-energy coupling demand-side resources |
