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Bidding Strategies that Minimize Risk with Options and Futures Contracts

机译:通过期权和期货合约将风险最小化的投标策略

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This research builds on earlier research in developing bidding strategies through the inclusion of options and futures contracts. In the competitive environment, electric traders' profits depend on the implementation of a successful bidding strategy. Bidding strategies are studied in an environment in which distribution companies (DISTCOs) and generation companies (GENCOs), buy and sell power via double auctions in regional commodity exchanges. The market framework being used was proposed by Kumar and Sheble [11] and allows participants to trade in the spot, future, planning and swap markets, and also gives rise to the use of option contracts. Bid-strategy research previously published by the authors focused on increasing electric generators' profit as they participated in a spot/cash market. Here we incorporate techniques such as game theory and decision analysis to minimize the risk to the electric utility or energy trader. The goal is to ensure reliable power system operation while also ensuring that contracts are fulfilled and traders adopting the strategies remain profitable. The developed strategies are tested in our electric market trading simulator which can be used off-line to predict whether bid strategies will be profitable and successful.
机译:这项研究建立在早期研究的基础上,通过纳入期权和期货合约来制定出价策略。在竞争环境中,电商的利润取决于成功竞标策略的实施。在配电公司(DISTCO)和发电公司(GENCO)通过区域商品交易所中的两次拍卖来买卖电力的环境中研究投标策略。 Kumar和Sheble提出了使用的市场框架[11],该框架允许参与者在现货,未来,计划和掉期市场中进行交易,并且也引起了期权合约的使用。作者先前发表的竞标策略研究着重于提高发电机参与现货/现金市场的利润。在这里,我们结合了诸如博弈论和决策分析之类的技术,以最大程度地降低对电力公司或能源交易商的风险。目标是在确保电力系统可靠运行的同时,还要确保履行合同并采用策略的贸易商保持盈利。所开发的策略在我们的电力市场交易模拟器中进行了测试,该模拟器可以脱机使用以预测出价策略是否可以盈利和成功。

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