Industrial Park is one of the important scenarios of distributed generation development. This paper proposes an optimal allocation method of distributed generations and energy storage systems in the plannin. ••An optimal allocation method for hybrid DG is proposed.••. AbbreviationsBESS battery energy storage systemDARTP day-ahead real-time pricingDG distributed generationDR demand responseEMS en. Recently, with rapid technical development in distributed generations (DGs), the power supply system in industrial park is undergoing a thorough evolution towards a more economic,. 2.1. Overview of the systemThe overall configuration of power supply system considered in this paper is shown in Fig. 1. Except for the utility grid which is an approximately infi. DARTP is one of the pricing mechanism of the DR. The customer will know the real-time price predicted for the next day in advance, and then the system will charge the user's electric.
[PDF Version]A correction is made to avoid imbalance of energy shifting and over demand response. Two indexes are proposed to characterize the complementary of multi-energy. The optimal allocation method can greatly reduce electric energy supply cost. Industrial Park is one of the important scenarios of distributed generation development.
Compared to conventional power supply system in industrial park, where it is only supplied by utility grid, the current power supply system becomes a more complex one with integration of multiple DGs such as wind turbine (WT), photovoltaic (PV), diesel, fuel cell, gas turbine and micro turbine, .
Combined with the energy storage application scenarios of big data industrial parks, the collaborative modes among different entities are sorted out based on the zero-carbon target path, and the maximum economic value of the energy storage business model is brought into play through certain collaborative measures.
Furthermore, an optimal allocation method of a multi-energy power supply system in industrial park is established, taking minimum total cost as the optimization objective, which is then solved by the hybrid genetic algorithm and pattern search algorithm.
Generally speaking, traditional planning for power supply systems in industrial parks mainly consists of two aspects, i.e., load forecasting and power transmission network design.
Parameters setting In this section, an industrial park power supply system is adopted as a test case. Table 1 summarizes the system parameters used in this case study, including the WT generation system, PV generation system, and BESS.
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