Reactive Power Planning for Regional Power Grids Based on Active and Reactive Power Adjustments of DGs

Abstract

To deal with extreme overvoltage scenarios with small probabilities in regional power grids, the traditional reactive power planning model requires a huge VAR compensator investment. Obviously, such a decision that makes a large investment to cope with a small probability event is not economic. Therefore, based on the scenario analysis of power outputs of distributed generations and load consumption, a novel reactive power planning model considering the active and reactive power adjustments of distributed generations is proposed to derive the optimal allocation of VAR compensators and ensure bus voltages within an acceptable range under extreme overvoltage scenarios. The objective of the proposed reactive power planning model is to minimize the VAR compensator investment cost and active power adjustment cost of distributed generations. Moreover, since the proposed reactive power planning model is formulated as a mixed-integer nonlinear programming problem, a primal-dual interior point method-based particle swarm optimization algorithm is developed to effectively solve the proposed model. Simulation results were conducted with the modified IEEE 30-bus system to verify the effectiveness of the proposed reactive power planning model.

Optimization of sustainable distributed power generation in distribution networks: a comprehensive analysis of location, capacity, and environmental impact

“…Most existing research, both domestically and internationally, has predominantly focused on the power generation efficiency, economic aspects, and reliability of DG [4][5][6][7][8]. In [4], an optimization scheme was proposed for active output, emphasizing DG power generation efficiency, and aiming to surpass the cumulative active output of traditional single machines. In [5], a reactive power optimization scheduling method was introduced for distribution networks, considering the total cost of DG.…”

“…The aforementioned literature primarily focuses on optimizing DG capacity, neglecting the investigation of the influence of DG location and the subsequent environmental benefits post-DG integration. Furthermore, in solving the optimization model, commonly used algorithms such as Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) suffer from drawbacks, including a tendency to converge slowly in the later stages of evolution and susceptibility to local optima [4][5][6][7][8]. There exists a gap in research concerning the comprehensive consideration of DG location, environmental impacts, and the drawbacks associated with optimization algorithms, calling for a more holistic exploration in these areas.…”

Application of Ordinal Optimization to Reactive Volt-Ampere Sources Planning Problems

“…The considered problem is difficult to solve because the allocation and sizes of the capacitor placement are integer and discrete values, respectively. A variety of methods have been successfully employed for solving this kind of problem [3][4][5][6][7][8]. In most existing methods, the exact form does not consider the integer and discrete variables simultaneously.…”