| 引用本文: | 徐艳春,刘海权,孙思涵,MI Lu.计及需求响应和共享储能的多微网系统双层优化调度[J].电力自动化设备,2023,43(6): |
| XU Yanchun,LIU Haiquan,SUN Sihan,MI Lu.Bi-level optimal scheduling of multi-microgrid system considering demand response and shared energy storage[J].Electric Power Automation Equipment,2023,43(6): |
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| 摘要: |
| 在多微网系统中考虑用户的需求响应行为和加入共享储能装置均会对系统内的能量流动及设备出力情况造成影响。在此背景下，为促进储能装置的高效利用和可再生能源的就地消纳，提出一种同时计及耗能用户需求响应和共享储能的多微网系统双层优化调度策略。对共享储能运行模式、多微网系统和耗能用户自主响应行为进行建模；分别以多微网系统净收益最大、耗能用户总购能成本最低为上、下层目标，形成合作型Stackelberg互动均衡模型；将下层模型转换成KKT最优条件，随后用Big-M法和对偶定理对非线性项进行处理，将Stackelberg博弈模型转换为混合整数线性规划问题，对多微网系统的能源定价策略、共享储能动态容量划分和各微网内设备的运行状态进行求解。为促进微网间的功率交互，提出基于交互贡献度的利润分配方案。最后，采用5个方案作为算例验证了所提策略的有效性。 |
| 关键词: 综合能源系统 多微网 用户需求响应 共享储能 Stackelberg博弈 KKT条件 |
| DOI：10.16081/j.epae.202208039 |
| 分类号:TM73;TK01 |
| 基金项目:国家自然科学基金资助项目(51707102) |
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| Bi-level optimal scheduling of multi-microgrid system considering demand response and shared energy storage |
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XU Yanchun1, LIU Haiquan1, SUN Sihan1, MI Lu2
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1.Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station, China Three Gorges University, Yichang 443002, China;2.Department of Electrical and Computer Engineering, Texas A&M University, College Station 77840, USA
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| Abstract: |
| Incorporating demand response behavior of power consumers and energy storage sharing devices in multi-microgrid system will affect the energy flow and equipment output. Thereby, in order to promote the efficient utilization of energy storage devices and the local consumption of renewable energy, a bi-level optimal scheduling strategy for multi-microgrid systems is proposed, which takes into account both the demand response of energy users and the sharing of energy storages. The operation mode of shared energy storage, multi-microgrid system and demand response behavior of energy users are modeled. A cooperative Stackelberg interactive equilibrium model is proposed, in which the maximum net income of multi-microgrid system and the minimum total energy purchase cost of energy-consuming users are set as the upper-level and lower-level objectives respectively. The lower-level model is replaced by its KKT conditions, and then the Big-M method and strong-duality theorem are employed to deal with nonlinear terms. As a result, the Stackelberg game model is transformed into a mixed integer linear programming problem. The energy pricing strategy of multi-microgrid system, the dynamic capacity allocation of shared energy storage and the equipment operating status in each microgrid are obtained. To promote power interaction between microgrids, a profit allocation scheme based on interaction contribution is proposed. Finally, five different schemes are employed as examples to verify the effectiveness of the proposed strategy. |
| Key words: integrated energy system multi-microgrid user demand response shared energy storage Stackelberg game KKT conditions |
