李东东, 陈天旭, 沈运帷, 林顺富. 基于联合虚拟储能系统的海岛微电网协同优化策略[J]. 中国电机工程学报, 2023, 43(20): 7842-7855. DOI: 10.13334/j.0258-8013.pcsee.231318
引用本文: 李东东, 陈天旭, 沈运帷, 林顺富. 基于联合虚拟储能系统的海岛微电网协同优化策略[J]. 中国电机工程学报, 2023, 43(20): 7842-7855. DOI: 10.13334/j.0258-8013.pcsee.231318
LI Dongdong, CHEN Tianxu, SHEN Yunwei, LIN Shunfu. Collaborative Optimization of Island Microgrid Based on Joint Virtual Energy Storage System Strategy[J]. Proceedings of the CSEE, 2023, 43(20): 7842-7855. DOI: 10.13334/j.0258-8013.pcsee.231318
Citation: LI Dongdong, CHEN Tianxu, SHEN Yunwei, LIN Shunfu. Collaborative Optimization of Island Microgrid Based on Joint Virtual Energy Storage System Strategy[J]. Proceedings of the CSEE, 2023, 43(20): 7842-7855. DOI: 10.13334/j.0258-8013.pcsee.231318

基于联合虚拟储能系统的海岛微电网协同优化策略

Collaborative Optimization of Island Microgrid Based on Joint Virtual Energy Storage System Strategy

  • 摘要: 可再生能源并网比例逐渐提高的同时,用户侧负荷也在逐年增长。微电网作为分布式新能源消纳的有效方式,其电力电量平衡也面临着巨大挑战。为充分发挥用户侧广义负荷的调控潜力,同时进一步考虑微网运营商、储能运营商以及可调节用户等市场主体参与电能交易时的利益分配问题,该文提出一种考虑虚拟储能系统的海岛微电网多主体博弈的优化调度策略。首先,根据空调负荷、电动汽车的运行特性,分析建筑物的蓄热特性以及电动汽车的充放电特性,建立一种包括空调负荷和电动汽车的联合虚拟储能系统。其次,考虑市场环境下源-荷-储三方利益诉求不同的问题,以微网运营商为领导者,储能运营商和用户为跟随者,构建各主体的交易模式和数学模型,建立一主多从的分布式协同优化模型。最后,通过算例验证所提方法的有效性,即在兼顾多主体利益的同时,能够有效减小峰谷差,减少区域电力系统对传统储能设备的依赖,从而节约投资成本。

     

    Abstract: While the proportion of renewable energy connected to the grid gradually increases, the user side load also increases year by year. As an effective way of distributed new energy consumption, microgrid also faces great challenges in its power balance. In order to give full play to the regulation potential of user-side flexible load, and further consider the benefit distribution problem when market players such as micro-grid operators, energy storage operators and adjustable users participate in electric energy trading, this paper proposes a multi-agent game optimization scheduling strategy for island micro-grid considering virtual energy storage system. First, according to the air conditioning load and the operating characteristics of electric vehicles, the heat storage characteristics of buildings and the charge-discharge characteristics of electric vehicles are analyzed, and a joint virtual energy storage system including air conditioning load and electric vehicles is established. Secondly, considering the different interest demands of the three parties of source, charge and storage under the market environment, the transaction mode and mathematical model of each subject are constructed with the micro-grid operator as the leader and the energy storage operator and user as the follower, and the distributed collaborative optimization model of one master and many slaves is established. Finally, a numerical example is given to verify the effectiveness of the proposed method, i.e., while taking into account the interests of multiple agents, it can effectively reduce the peak-valley difference and reduce the regional power system's dependence on traditional energy storage equipment, thus saving the investment cost.

     

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