| 引用本文: | 简川黔,刘继春,蒲天骄,杨知方,王晓辉,刘俊勇.共建共享模式下考虑需求响应的多售电主体风光储容量优化方法[J].电力自动化设备,2021,41(9): |
| JIAN Chuanqian,LIU Jichun,PU Tianjiao,YANG Zhifang,WANG Xiaohui,LIU Junyong.Wind-photovoltaic-storage capacity optimization method for multiple electricity sell entities considering demand response under co-construction and sharing mode[J].Electric Power Automation Equipment,2021,41(9): |
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| 摘要: |
| 在电力市场和低碳经济背景下，基于年时序仿真提出一种考虑需求响应和环境效益的售电主体风光储容量优化配置方法。计及建设周期内风光储容量和负荷波动的影响，以售电主体逐年综合成本最小化为目标，将投资和运营一体化考虑，建立两阶段随机规划模型，并采用动态回收周期评估系统的投资效益。在阶段1，提出风光储设备的逐年组合投资策略；在阶段2，充分考虑需求响应以及环境效益，建立售电主体逐年运营模型，以优化售电主体市场购电成本、碳排放折算成本以及用户用电成本，并基于分布式次梯度投影算法得到最优日前定价和用户能耗。提出基于贡献度利益分配的多售电主体共建共享投资优化模型。算例分析验证了所提方法对降低售电主体运行成本的有效性。 |
| 关键词: 低碳经济 需求响应 年时序仿真 售电主体 风光储容量配置 共建共享 |
| DOI：10.16081/j.epae.202109030 |
| 分类号:TM73 |
| 基金项目:国家自然科学基金资助项目(U2066209) |
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| Wind-photovoltaic-storage capacity optimization method for multiple electricity sell entities considering demand response under co-construction and sharing mode |
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JIAN Chuanqian1, LIU Jichun1, PU Tianjiao2, YANG Zhifang3, WANG Xiaohui2, LIU Junyong1
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1.College of Electrical Engineering, Sichuan University, Chengdu 610065, China;2.China Electric Power Research Institute, Beijing 100192, China;3.State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China
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| Abstract: |
| Under the background of electricity market and low-carbon economy, an optimal allocation method of wind-photovoltaic-storage capacity for electricity sell entities is proposed based on annual time series simulation, which considers the demand response and environmental benefit. Considering the impact of wind-photovoltaic-storage capacity and load fluctuation in the construction period and the integration of investment and operation, a two-stage stochastic programming model is established with the minimum annual comprehensive cost of electricity sell entities as its object, and the dynamic recovery cycle is used to evaluate the investment benefit of the system. In Stage 1, the annual portfolio investment strategy of wind-photovoltaic-storage equipment is proposed. In Stage 2, fully considering the demand response and environmental benefit, the annual operation model of electricity sell entities is established to optimize the market electricity purchasing cost of electricity sell entities, carbon emission conversion cost and electricity consumption cost of consumers, and the optimal day ahead price and energy consumption of consumers are obtained based on distributed sub-gradient projection algorithm. The optimal co-construction and sharing investment model of multiple electricity sell entities based on contribution profit distribution is proposed. Case analysis verifies the effectiveness of the proposed method on reducing the operation cost of electricity sell entities. |
| Key words: low-carbon economy demand response annual time series simulation electricity sell entity wind-photovoltaic-storage capacity allocation co-construction and sharing |
