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Strategic bidding by a risk-averse firm with a portfolio of renewable resources

机译:具有可再生资源组合的规避风险的公司的战略招标

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The possibility of market power abuse in the systems with a high amount of flexible power sources (hydro units and energy storage) is believed to be very low. However, in practice strategic owners of these resources may limit the ramping rate whenever the price spikes occur. This is particularly relevant for the power systems with a high penetration of wind power, due to the high levels of uncertainty. In this paper we propose a bilevel game-theoretic model to investigate the effect of this type of strategic bidding. The lower-level is a security-constrained economic dispatch carried out by the system operator. The upper-level is a profit-maximization problem solved by a risk-averse company owning a varied portfolio of energy sources: energy storage, hydro power units, wind generators, as well as traditional generators. We represent the uncertainty affecting the decision making by introducing a set of wind power scenarios and variable competitors' price bids. The resulting mathematical problem with equilibrium constraints (MPEC) is recast as a single-stage mixed-integer linear program (MILP) and solved with CPLEX. In the case study we demonstrate the effect of withholding the ramp-rate on the social welfare.
机译:人们认为,在具有大量灵活电源(水电单元和储能)的系统中,滥用市场电源的可能性非常小。但是,实际上,这些价格的战略所有者可能会在价格上涨时限制加价幅度。由于不确定性高,这对于具有高风力渗透率的电力系统尤其重要。在本文中,我们提出了一种双层博弈论模型来研究这种类型的战略招标的效果。下层是由系统操作员执行的受安全约束的经济调度。上层是由拥有各种能源组合(包括储能,水力发电设备,风力发电机以及传统发电机)的规避风险的公司解决的利润最大化问题。我们通过引入一组风能情景和可变竞争者的价格出价来表示影响决策的不确定性。由此产生的具有平衡约束的数学问题(MPEC)被重铸为单阶段混合整数线性程序(MILP),并使用CPLEX进行了求解。在案例研究中,我们证明了扣留坡率对社会福利的影响。

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