A Multi-Layer Optimization Method of Price Incentive Demand Response for Improving Photovoltaic Power Accommodation Rate of Microgrid

doi:10.11930/j.issn.1004-9649.2016.08.099.07

Abstract

Abstract: The microgrid with high percentage of photovoltaic(PV) generation has the problem of PV power accommodation. Reasonable adjustment of power load can help to improve the PV accommodation rate, and the price-incentive demand response is an effective means to adjust the power load. Based on the time-of-use (TOU) price incentive demand response, an novel method is proposed to improve the PV accommodation rate of microgrid through optimizing the TOU price to reasonably adjust the power load. After analyzing the multivariate nonlinear property of the model, a multi-layer optimization model is established in this paper, which considers both the economics of power generation and the PV accommodation rate. The accommodation ability of microgrid for PV power can be improved through hierarchical iterative solution by the improved simulated annealing algorithm and the mixed integer programming. Numerical simulation results show that this method can significantly improve the PV power accommodation rate without increasing the cost of demand side, and consequently improve the overall economic performance of microgrid.

Key words: microgrid, PV power accommodation, demand response, multi-layer optimization, optimal operation

CLC Number:

TM715

MA Jian, DI Kaili, LI Rui. A Multi-Layer Optimization Method of Price Incentive Demand Response for Improving Photovoltaic Power Accommodation Rate of Microgrid[J]. Electric Power, 2016, 49(8): 99-105.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.2016.08.099.07

https://www.electricpower.com.cn/EN/Y2016/V49/I8/99

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