Low carbon multi‐objective scheduling of integrated energy system based on ladder light robust optimization

Abstract

Under the low carbon background, a multi‐objective scheduling model of electrical‐thermal integrated energy system which aims at minimizing the integrated operating costs and minimizing the carbon trading costs is established. The uncertainty of wind power brings new challenge to integrated energy systems. In recent years, light robust optimization has been effectively applied to solve the uncertainty of wind power. However, traditional light robust optimization has the shortcomings of over‐conservative decision or excessive violation of constraints. Therefore, light robustness coefficient is introduced to adjust the deterioration tolerance of the objective function. To constrain the relaxation, the relaxation threshold and the ladder penalty coefficient are defined to generate the ladder penalty cost. Then, the ladder light robust optimization is used to deal with the uncertainty of the source‐load sides and a multi‐objective scheduling model based on the ladder light robust optimization is proposed. Finally, the Multi‐objective Optimization Bacterial Colony Chemotaxis (MOBCC) algorithm is used to solve the model. Simulations results show that the proposed model can reduce the total costs by 5.56% and the wind power curtailment rate to 0.45%. Furthermore, different schemes are compared to verify that the ladder light robust optimization can provide a trade‐off between economy and conservation of the system.

Review on low carbon planning and operation of integrated energy systems

“…The energy planning problem proposed in [54] is a multicycle discrete optimization problem, which is optimized using a discrete BCC (DBCC) algorithm. The Multi‐objective Optimization Bacterial Colony Chemotaxis (MOBCC) algorithm is proposed and applied to the multi‐objective dispatch problem of power systems in [55].…”

Study on bi‐level multi‐objective collaborative optimization model for integrated energy system considering source‐load uncertainty

“…The attraction degree is related to distance. Farther the distance is, less the attractive there will be 28‐30 . In the optimal firefly population, the operation of the individual firefly needs to meet some basic characteristics.…”

Dynamic Stepwise Carbon Trading Game Scheduling with Accounting and Demand-Side Response

“…With the increasing requirements of energy green transition, in order to realize the low-carbon and economic dispatch of integrated energy systems, in addition to considering the source-side carbon reduction strategy, the demand-side carbon reduction potential is also worth exploring [4][5][6]. Energy is an important foundation for human survival and development; reducing environmental pollution while ensuring a sustainable supply of energy and proficiently utilizing it has With the development of energy consumption structure in the direction of lowcarbonization and non-carbonization, vigorously developing clean energy and improving the efficiency of energy use has become one of the important measures to solve the contradictions between energy demand growth and energy shortage, energy use and link protection [8][9][10]. At the same time, due to the rapid development of society, the diversification of industrial production and user demand has put forward higher requirements for the quality of energy supply.…”