【摘要】 随着分布式发电渗透率不断增加,大量本地生产的电能通过配电网供应本地负荷,促成了配电网层面的局域电力交易。在英国局域电力市场框架下,提出了一种基于博弈论霍特林模型的用户交易策略优化方法,帮助大用户降低购电成本。该方法用风险成本量化可再生能源出力的不确定性,用MW-Mile输电定价法计算的输电成本反映电力交易使用电网的情况,求解用户支出最小的交易策略。验证算例结果表明,提出的数学模型可有效模拟包含多个发电商的交易竞争,输电成本可能会影响交易策略的优化结果。更多还原

【Abstract】 With increasing penetration of distributed renewable resources, local energy trading has emerged to encourage citizens to use energy from local renewable sources, such as small-scale photovoltaics and wind turbines. Although renewable energy is clean and inexpensive, its uncertainty issue brings about a potential risk to trading, which can eventually affect trading strategies. This paper proposes a novel approach to determine the optimal local energy trading strategy for customers using the Hotelling game. Specifically, the risk cost is used to quantify the uncertainty of renewables in energy transactions. In addition, the network cost is established based on the MW-Mile method to reflect the network usage in energy trading and to recover the true cost of system investment. Considering the network cost, risk cost of renewable uncertainties, and the energy cost of generation, optimal trading strategies can be established for a user in order to minimize their energy bill. A case study is presented to demonstrate the proposed energy trading method on a representative system, and the simulation results illustrate the significance of network cost on the selection of local trading strategies.更多还原