Electrical Energy Acquisition Strategy for Load Aggregators Considering Combined Uncertainties of Distributed Generation Outputs and Electricity Market Prices

doi:10.3969/j.issn.1000－7229.2018.01.002

Abstract

Abstract: ABSTRACT： With the ever-increasing penetration level of renewable energy generation and electric vehicles in power system, new participants in electricity market operation, the number of uncertainty factors in power system operation and electricity market transactions is increasing and hence each load aggregator (LA) has to address emerging problems and even challenges. In seeking a profit maximization solution, the LA could make full use of demand side resources in purchasing electrical energy from the day-ahead electricity market, so as to mitigate the negative impacts of these uncertainty factors and hence control the costs caused by risks. Firstly, distributed generation (DG) outputs and day-ahead market prices are formulated as variables within respective intervals. Secondly, a robust bi-level optimization model for electrical energy acquisition from day-ahead electricity market, with the objective of maximizing the profit of each LA, is presented with DG and demand response included. Finally, a modified IEEE 33-bus distribution system is employed to demonstrate the feasibility and efficiency of the proposed method.

Key words: KEYWORDS： load aggregator（LA）, demand response, day-ahead electricity market, uncertainty, node price, robust optimization, bi-level optimization

CLC Number:

TM 73

YU Min, NI Linna, FANG Peng, LIU Fuyan, WEN Fushuan. Electrical Energy Acquisition Strategy for Load Aggregators Considering Combined Uncertainties of Distributed Generation Outputs and Electricity Market Prices

[J]. Electric Power Construction, 2018, 39(1): 10-.

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