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Stochastic electricity market model in networked microgrids considering demand response programs and renewable energy sources

机译:考虑需求响应计划和可再生能源的网络微电网中的随机电力市场模型

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摘要

In this paper, a cooperative market mechanism is proposed to define the energy transactions and market price in multi-microgrids (MMGs). The proposed model can be used for both the grid-connected and isolated MMG as well as models with several MG owners. We use a cooperative approach that guarantees the existence of the optimal solution, while the Nash equilibrium points cannot ensure the Pareto optimality of the solution in the competitive approaches. Microgrids (MGs) send their bids/offers to the market operator, and the devoted energy will be announced to MGs in order to set the production of their resources. Various energy production units such as renewable energy resources (Photovoltaic, and wind), dispatchable energy resources, Energy Storage Systems (ESS), and demand response program have been taken into account. Moreover, an incentive-based demand response program motivates the consumers to take part in the market and benefit from the deployed market. Scenario generation and reduction methods are used to consider various uncertainties in the power system. The proposed model is formulated as a Mixed Integer Linear Programming (MILP) and solved by GAMS software. Several case studies are tested and the simulation results show the efficiency of the proposed model.
机译:本文提出了一种合作市场机制来定义多微电网(MMG)中的能源交易和市场价格。所提出的模型既可以用于并网和隔离的MMG,也可以用于拥有多个MG所有者的模型。我们使用一种合作方法来保证最优解的存在,而纳什均衡点不能确保竞争方法中解的帕累托最优性。微电网(MGs)将其出价/要价发送给市场运营商,并且将向MGs宣布专用的能源,以设定其资源的产量。已考虑了各种能源生产单位,例如可再生能源(光伏和风能),可调度能源,能源存储系统(ESS)和需求响应程序。此外,基于激励的需求响应计划可以激励消费者参与市场并从已部署的市场中受益。方案生成和减少方法用于考虑电力系统中的各种不确定性。所提出的模型被公式化为混合整数线性规划(MILP),并由GAMS软件求解。测试了几个案例研究,仿真结果表明了该模型的有效性。

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