Multi‐objective economic dispatch of power system with wind farm considering flexible load response

Abstract

The uncertainty of wind farm power and load both have a certain impact on the economic dispatch of the power system. First, this study deals with the fuzzy processing of power prediction error and load forecasting error of wind farms based on fuzzy random theory. On this basis, a multi-objective fuzzy stochastic dispatch model of a power system with flexible load is established under the carbon trading mechanism. And, the nonlinear cost of flexible load response and the cost of carbon emission compensation is introduced to the multi-objective function of the model. In addition, the fuzzy chance constraint of the spinning reserve is added to the constraint conditions. By introducing the variable, the fuzzy random dispatch model is transformed into a clear equivalent model. Finally, the discrete bacterial colony chemotaxis algorithm is used to process the model, and the optimal solution to the multi-objective function is obtained by a compromise strategy based on a small degree of satisfaction. In the simulation, a classic IEEE10 system and a wind farm are taken as examples. The results show that compared with the other three traditional dispatch models, the total power generation cost

Optimal scheduling of power systems with wind and solar power generation considering green certificate trading mechanism and energy storage cost

“…A renewable energy quota system and its supporting green certificate trading mechanism can be designed in the power generation side, and the game model is established, and the designed mechanism is simulated and analyzed [7] . Some scholars have built a multi-objective dynamic environmental economic scheduling model of wind farm power system based on green certificate trading mechanism, proposed a multi-objective algorithm based on reverse learning chaotic search, and obtained the advantages of green certificate trading mechanism [8] . At the same time, relevant studies combined blockchain technology and green certificate trading mechanism, proposed a comprehensive energy system optimization model including green certificate cross-chain transaction, and concluded that green certificate trading mechanism can reduce system operating costs and promote the consumption of renewable energy [9] .…”

Performance of Turbulent Flow of Water Optimization on Economic Load Dispatch Problem

“…In [36], the authors have used an improved simplex based PSO for solving CEED. In [37], authors have modelled the ELD problem in presence of wind farms and flexible resources in a multi-objective framework and solved the problem by fuzzy logic. In [38], the authors have used MFO algorithm for solving ELD for integrated power system in presence of stochastic wind generation.…”

Decentralized approach for security enhancement of wind‐integrated energy systems coordinated with energy storages

“…One of the contingencies that can easily imperil the energy system's security is the uncertainty of forecasted data, which originate from the unpredicted altering of injected power to the system by renewable sources, loads, and short-term electricity trades. 9 In this regard, authors of [10][11][12][13][14][15] aim at enhancing the security of energy systems besides considering uncertainties. In Reference 10, a distributed robust formulation for chance constraints of the SCOPF problem is proposed based on optimal probability constraints.…”