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Energy and Reserve Market Clearing With Microgrid Aggregators

机译：利用微电网聚合器进行能源和储备市场清算

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摘要

In this paper, a new multiobjective joint energy and reserve market clearing model is presented, in which the payment cost minimization and the voltage stability maximization are considered as the economic and security objectives, respectively. In the proposed model, microgrid aggregators (MGAs) submit their bids as demands to participate in the day-ahead electricity market. Both pay-at-market clearing price (uniform pricing) and locational marginal price-based settlement mechanisms are employed to determine the payoffs of market participants in the proposed payment cost minimization model, and the outcomes are compared with those of the offer generation cost minimization model. It is shown that the proposed payment cost minimization model leads to a lower consumer payment cost than the offer cost minimization model. A new approach, which is referred to as bi-objective desired solution generator, is introduced to solve the proposed bi-objective problem. It is shown that the desired solution is determined without approximating all efficient solutions, which in turn results in lower processing time and computational burden. A modified IEEE 24-bus reliability test system is used as a test system to verify the effectiveness of the proposed approach.
机译：本文提出了一种新的多目标联合能源和储备市场清算模型，其中将支付成本最小化和电压稳定性最大化分别视为经济和安全目标。在建议的模型中，微电网聚合商（MGA）提交投标书作为参加日前电力市场的要求。在建议的支付成本最小化模型中，均采用按市场支付的清算价格（统一定价）和基于位置边际价格的结算机制来确定市场参与者的收益，并将结果与​​报价产生成本最小化的结果进行比较。模型。结果表明，所提出的支付成本最小化模型比提供成本最小化模型导致更低的消费者支付成本。引入了一种称为双目标期望解生成器的新方法来解决所提出的双目标问题。结果表明，在不近似所有有效解的情况下确定了所需的解，这反过来又减少了处理时间和计算负担。修改后的IEEE 24总线可靠性测试系统用作测试系统，以验证所提出方法的有效性。

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