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Maximising the utilisation of micro-generation using a multi-state optimal power flow

机译:使用多状态最优潮流最大化微发电的利用

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This article investigates the use of a multi-state optimal power flow algorithm that simultaneously optimises the capacity utilisation of micro-generators to produce electricity in combination with the provision of spinning/standing reserve. The optimisation will consider various market data including energy and reserve markets, operating cost and technical characteristics of micro-generators, network constraints to optimise the dispatch and allocation of reserves. Two operating states are considered: (a) one base case where the reserve contracts are allocated to micro-generators but have not been exercised and (b) another state where all scheduled reserve is utilised. The optimal power flow algorithm will ensure that in both states, the system can be operated securely and no network operating limits/constraints are violated. We demonstrate the feasibility of the proposed optimal power flow through a number of case studies on a low-voltage system. The studies demonstrate that micro-generators are capable to contribute to both local and system support services, particularly, in the forms of reserve and voltage control while simultaneously optimising the portfolio of energy production in order to maximise the benefits for the owners of micro-generators and improve the efficiency of the overall system.
机译:本文研究了多状态最优潮流算法的使用,该算法同时优化了微型发电机的发电能力,同时提供了旋转/备用储备,从而优化了发电能力。该优化将考虑各种市场数据,包括能源和储备市场,微型发电机的运营成本和技术特征,网络约束以优化储备的分配和分配。考虑了两个运行状态:(a)一种基本情况,即储备合同分配给微型发电机,但尚未行使;(b)另一种状态,其中所有计划的储备均已使用。最佳潮流算法将确保在两种状态下,系统均可安全运行,并且不会违反网络运行限制/约束。我们通过在低压系统上进行大量案例研究,证明了建议的最佳潮流的可行性。研究表明,微型发电机能够为本地和系统支持服务做出贡献,特别是以储备和电压控制的形式,同时优化能源生产组合,以最大程度地为微型发电机的所有者带来收益并提高整个系统的效率。

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