Abstract
Large-scale renewable energy sources connected to the grid bring new problems and challenges to the automatic generation control (AGC) of the power system. In order to improve the dynamic response performance of AGC, a biobjective of complementary control (BOCC) with high-participation of energy storage resources (ESRs) is established, with the minimization of total power deviation and the minimization of regulation mileage payment. To address this problem, the strength Pareto evolutionary algorithm is employed to quickly acquire a high-quality Pareto front for BOCC. Based on the entropy weight method (EWM), grey target decision-making theory is designed to choose a compromise dispatch scheme that takes both of the operating economy and power quality into account. At last, an extended two-area load frequency control (LFC) model with seven AGC units is taken to verify the effectiveness and the performance of the proposed method.
Highlights
Automatic generation control (AGC) is one of the important tools to maintain the contact line exchange power and realtime network frequency of the power system within the schedule when the grid experiences load disturbances [1]
Note that this paper focuses on the specific allocation process of the second operation, which is addressed by the proposed SPEA2 and grey target decision-making with entropy weight method (EWM). e specific framework of the AGC dispatch model has been given in reference [9], and the energy storage resources (ESRs) are added to participate in the AGC scheduling process
Calculation Flow. e whole calculation flow of solving biobjective of complementary control (BOCC) by SPEA2 and grey target decision-making with EWM is provided in Table 2, where the termination condition of SPEA2 is set to the maximum number of iterations
Summary
Automatic generation control (AGC) is one of the important tools to maintain the contact line exchange power and realtime network frequency of the power system within the schedule when the grid experiences load disturbances [1]. E addition of energy storage can improve the economic operation of the system It can help reduce the pressure on frequency regulation of power system caused by PV units. Some independent system operators (ISOs) implemented 755 negatively and did not establish fair and dynamic markets, because they adopted existing rules that protect existing resources such as liquefied natural gas (LNG) units from competition that is created by ESRs with lower regulation mileage payment and faster regulation performance. This paper presents a new biobjective of complementary control (BOCC) for AGC with the high participation of ESRs. To solve the BOCC with high nonlinearity, the metaheuristic-based multiobjective optimization algorithms show stronger global searching ability than the traditional mathematical optimization methods [10,11,12,13,14,15].
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